value of online education essay

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Essay On Online Education: In 100 Words, 150 Words, and 200 Words

• Updated on  
• Apr 26, 2024

Online education has emerged as a significant transformation in the global education landscape, particularly in the wake of the COVID-19 pandemic . This essay explores the various facets of online education, from its inception to its advantages and disadvantages and its impact on learners and educators alike. The evolution of online education presents a new horizon for accessible and flexible learning .

Table of Contents

• 1 Essay on Online Education in 100 words
• 2 Essay on Online Education in 150 words
• 3 Essay on Online Education in 200 words
• 4 Short Essay on Online Education

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Essay on Online Education in 100 words

Online education is a modern educational paradigm where students access instructional content through the internet. This innovative approach has gained immense popularity, especially after the pandemic, owing to its convenience and adaptability. It has enabled students of all ages to acquire knowledge from the comfort of their homes, transcending geographical barriers. Online education offers a diverse range of courses and resources, fostering continuous learning. However, it also presents challenges, such as dependency on technology and potential disengagement from the physical world.

Also Read: The Beginner’s Guide to Writing an Essay

Essay on Online Education in 150 words

Online education marks a revolutionary shift in how we acquire knowledge. It harnesses the power of the internet to deliver educational content to students, making learning more flexible and accessible. Technology advancements have accelerated the development of online education, enabling educational institutions to provide a wide range of courses and programmes through digital platforms.

One of the primary advantages of online education is its ability to cater to a diverse audience, regardless of geographical location or physical limitations. It eliminates the need for commuting and offers a cost-effective alternative to traditional classroom learning. However, online education also comes with its challenges. It requires self-discipline and motivation as students often learn independently. Additionally, prolonged screen time can have adverse effects on students’ physical and mental well-being, potentially leading to social disconnection.

Essay on Online Education in 200 words

Online education has witnessed remarkable growth in recent years, with the internet serving as the conduit for delivering educational content. This transformation has been accelerated, particularly in response to the global pandemic. Online education transcends the boundaries of traditional learning, offering students the opportunity to acquire knowledge and skills from anywhere in the world.

One of the most compelling aspects of online education is its flexibility. Learners can access course materials and engage with instructors at their convenience, breaking free from rigid schedules. Moreover, this mode of education has expanded access to a vast array of courses, allowing individuals to pursue their interests and career goals without geographical constraints.

However, it’s important to acknowledge the challenges associated with online education. It demands a high degree of self-discipline, as students must navigate the coursework independently. Prolonged screen time can have adverse effects on health and may lead to a sense of disconnection from society.

In conclusion, online education represents a significant shift in how we approach learning. It offers unprecedented access and flexibility but also requires learners to adapt to a more self-directed approach to education. Striking a balance between the benefits and challenges of online education is key to harnessing its full potential.

Also Read: Essay on Fire Safety in 200 and 500+ words in English for Students

Short Essay on Online Education

Find a sample essay on online education below:

An organised argument backed up by proof and examples is the key to writing a convincing essay. Create a clear thesis statement at the outset, follow a logical progression of points, and then summarise your main points.

To improve readability, use clear and concise language, break your essay into paragraphs with clear topic sentences, and vary your sentence structure.

If you’re struggling to meet the word count, review your content to see if you can expand on your ideas, provide more examples, or include additional details to support your arguments. Additionally, check for any redundancies or irrelevant information that can be removed.

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We hope that this essay on Online Education helps. For more amazing daily reads related to essay writing , stay tuned with Leverage Edu .

Manasvi Kotwal

Manasvi's flair in writing abilities is derived from her past experience of working with bootstrap start-ups, Advertisement and PR agencies as well as freelancing. She's currently working as a Content Marketing Associate at Leverage Edu to be a part of its thriving ecosystem.

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The pros and cons of online learning

What to look for in an online course.

By: MIT xPRO

If you’re at a point in your life where you’re considering continuing your education, you may wonder if online learning is the right path for you.

Taking an online course requires a notable investment of time, effort, and money, so it’s important to feel confident about your decision before moving forward. While online learning works incredibly well for some people, it’s not for everyone.

We recently sat down with MIT xPRO Senior Instructional Designer and Program Manager Luke Hobson to explore the pros and cons of online learning and what to look for in an online course. If you’re waiting for a sign about whether or not to enroll in that course you’ve been eying, you just might find it here.

Pros of Online Learning

First, let’s take a look at the true value of online learning by examining some of the benefits:

1. Flexibility

Online learning’s most significant advantage is its flexibility. It’s the reason millions of adults have chosen to continue their education and pursue certificates and degrees.

Asynchronous courses allow learners to complete work at their own pace, empowering them to find the optimal time to consume the content and submit assignments.

Some people are more attentive, focused, and creative in the mornings compared to the evenings and vice versa. Whatever works best for the learners should be the priority of the learning experience.

2. Community

When Luke asks people about their main reason for enrolling in a course, a common answer is networking and community.

Learners crave finding like-minded individuals who are going through the same experiences and have the same questions. They want to find a place where they belong. Being in the company of others who understand what they’re going through can help online learners who are looking for support and motivation during challenging times and times that are worth celebrating.

Some learners have created study groups and book clubs that have carried on far beyond the end of the course-it’s amazing what can grow from a single post on a discussion board!

3. Latest information

“Speed is a massive benefit of online learning,” and according to Luke, it often doesn’t get the attention it deserves.

“When we say speed, we don’t mean being quick with learning. We mean actual speed to market. There are so many new ideas evolving within technical spaces that it’s impossible to keep courses the way they were originally designed for a long period of time.”

Luke notes that a program on Additive Manufacturing , Virtual Reality and Augmented Reality , or Nanotechnology must be checked and updated frequently. More formal learning modalities have difficulty changing content at this rapid pace. But within the online space, it’s expected that the course content will change as quickly as the world itself does.

Cons of Online Learning

Now that we’ve looked at some of the biggest pros of online learning, let’s examine a few of the drawbacks:

1. Learning environment

While many learners thrive in an asynchronous learning environment, others struggle. Some learners prefer live lessons and an instructor they can connect with multiple times a week. They need these interactions to feel supported and to persist.

Most learners within the online space identify themselves as self-directed learners, meaning they can learn on their own with the right environment, guidance, materials, and assignments. Learners should know themselves first and understand their preferences when it comes to what kind of environment will help them thrive.

2. Repetition

One drawback of online courses is that the structure can be repetitive: do a reading, respond to two discussion posts, submit an essay, repeat. After a while, some learners may feel disengaged from the learning experience.

There are online courses that break the mold and offer multiple kinds of learning activities, assessments, and content to make the learning experience come alive, but it may take some research to find them-more on what to look for in an online course later in this article! Luke and his colleagues at MIT xPRO are mindful of designing courses that genuinely engage learners from beginning to end.

3. Underestimation

Luke has noticed that some learners underestimate how much work is required in an online course. They may mistakenly believe that online learning is somehow “easier” compared to in-person learning.

For those learners who miscalculate how long they will need to spend online or how challenging the assignments can be, changing that mindset is a difficult process. It’s essential to set aside the right amount of time per week to contribute to the content, activities, and assignments. Creating personal deadlines and building a study routine are two best practices that successful online learners follow to hold themselves accountable.

Experience the Value of Online Learning: What to Look For in an Online Course

You’ve probably gathered by now that not all online courses are created equal. On one end of the spectrum, there are methods of online learning that leave learners stunned by what a great experience they had. On the other end of the spectrum, some online learning courses are so disappointing that learners regret their decision to enroll.

If you want to experience the value of online learning, it’s essential to pick the right course. Here’s a quick list of what to look for:

• Feedback and connection to peers within the course platform. Interacting regularly with other learners makes a big difference. Luke and the MIT xPRO team use peer-reviewed feedback to give learners the opportunity to engage with each other’s work.
• Proof of hard work. In the online learning space, proof of hard work often comes in the form of Continuing Education Units (CEUs) or specific certifications. MIT xPRO course participants who successfully complete one or more courses are eligible to receive CEUs , which many employers, licensing agencies, and professional associations accept as evidence of a participant’s serious commitment to their professional development.

Online learning isn’t for everyone, but with the right approach, it can be a valuable experience for many people. Now that you know what to look for in an online course, see what Luke and the MIT xPRO instructional design team have to offer by checking out the latest MIT xPRO courses and programs .

Originally published at http://curve.mit.edu on August 8th, 2022.

The pros and cons of online learning was originally published in MIT Open Learning on Medium, where people are continuing the conversation by highlighting and responding to this story.

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Online Education Essay

Online Education

In the age of technology, online education has become increasingly popular for many individuals. It is an innovative way to acquire knowledge, skills, and credentials from the comfort of your own home. Online education provides students with the flexibility to learn from any location and at any time, making it an ideal choice for those who cannot attend traditional classes due to work or family obligations.

Synchronous online courses are typically offered on a specific schedule and students must log in to participate at a certain time. Asynchronous courses, on the other hand, are typically self-paced and students can participate at any time. Both forms of educational programs are readily available for remote access with a functional internet connection.

Online education essay explains that it offers numerous benefits for both students and educators. For students, it provides an opportunity to learn at their own pace and can help them save money on tuition, transportation, and housing expenses. It also allows students to engage in a more interactive learning process and to develop relationships with peers and instructors. In addition, online learning can help prepare students for the changing job market and can broaden their career prospects. For those interested in exploring online education further, platforms offer valuable resources and guidance, often with the added benefit of discounts through an  essaypro promo code .

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For educators, online education provides an opportunity to reach a wider audience and to offer courses to students who may not have the resources or flexibility to attend traditional classes. In addition, online education, like AI homework assistants , fosters students’ independence and self-confidence. By providing support and guidance throughout the learning process, students feel empowered to tackle challenges independently. 

Popularity and Access

Online education is one of the most popular forms of education in the modern world. It has been around for a while and has grown exponentially since its conception. Online education offers a wide variety of options for students of all ages, from high school to college, and even graduate and professional programs. With the advances in technology, online education has become easier to access, more affordable and more widely available.

Online education offers many advantages to students. One of the biggest advantages is the flexibility that online education offers students. It allows students to take classes from anywhere, at any time, making it easier to fit classes into their busy schedules. Additionally, the flexibility of online courses enables students to pursue their education at their convenience, enabling them to adjust the pace of their studies to align with their personal schedules and responsibilities. Online education also allows students to pursue courses in areas that may not be available at their local college or university. This can be especially beneficial to those who are looking to specialize in a certain area or to gain a more comprehensive understanding of a certain topic.

In addition to the flexibility that online education offers, it is also more affordable than traditional classroom instruction. Many online universities and colleges offer reduced tuition rates and scholarships to help cover the cost of tuition. Furthermore, there is generally no need to purchase textbooks or other educational materials, as most of the material is available online. Online education also eliminates the need to commute to and from a physical campus, which can help reduce both cost and time. Additionally, some students pay for college papers if they need assistance with coursework. It may even allow students to focus on other important aspects of their education and personal life.

Advantages of Online Education

• Online education also provides a great deal of support for students. Online universities and colleges provide students with access to a wide range of resources, from tutors to online discussion forums and study help. Online instructors are more accessible than traditional classroom instructors because you can reach them through email or instant messaging.
• Online education refers to any form of learning conducted over the internet. It can cover anything from a single course to a full degree program. Students can access course materials and interact with their peers and teachers from anywhere in the world, at any time of day. This makes it ideal for those with busy lives, as it allows them to fit their studies around their other commitments.
• Online education also offers students the opportunity to learn at their own pace. Rather than having to stick to a rigid timetable, students can choose when and how often they access the course material. This allows those who are struggling to take their time and those who are more able to accelerate their learning.
• Another key benefit of online education is the cost. Generally speaking, online courses are much cheaper than traditional courses, as they do not require physical premises or materials. This makes them ideal for those on a budget, as they are able to access a quality education without breaking the bank.
• Online education also allows students to access a much wider range of courses than they would be able to in a traditional setting. With no geographical or time restrictions, students can access courses from all over the world, giving them access to the latest developments in their chosen field.

Drawbacks of Online Education

• Of course, there are some drawbacks to online education. For one, the lack of physical interaction can make it difficult to form relationships with teachers and peers, which can make it harder to stay motivated. It can also be difficult to stay on track without the structure of a classroom environment.
• Nevertheless, online education is becoming an increasingly popular choice for students around the world. With its flexibility, affordability and potential for personal growth, it is easy to see why. As technology continues to advance, it is likely that online education will become even more popular, providing students with greater access to knowledge and skills than ever before.

Conclusion – Online Education Essay

Overall Online Education Essay explains that it can be a great way for students to pursue their educational goals. It offers a great deal of flexibility and affordability, and it can be a great way to gain a comprehensive understanding of a certain topic or field. However, it is important to be aware of the drawbacks that can come with online education, such as the lack of face-to-face interaction and the need for self-discipline.

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The Importance of Online Learning to Students and Teachers

As technology advances and user experience improves, so too does the popularity of online education. It’s been proven to be a successful method of learning and offers a number of different benefits when compared with traditional education. While it is beneficial, it also has certain challenges. Understanding the advantages of online learning is important because it could help you make big decisions regarding your or your child’s education. In this article, we will discuss the importance of online learning to students and teachers.

Connects students and teachers internationally

Just like Nord Anglia Education’s Global Campus , an advantage of online learning is it can connect students and teachers around the world. With traditional education, location dictates which classes you could sign up for. This isn’t the case with online learning. You can sign up for classes all over the world, providing a more in-depth understanding of the global industry and helping children build their network and develop an international mindset. Gaining different perspectives and learning about different cultures also aids children’s thinking skills. This highlights the importance of online learning for students because it can open the door to new opportunities and help them develop skills that will serve them well in their future careers.

Offers flexible learning hours

When considering the importance of online learning to students and teachers, flexible learning hours are a big influence. Circumstances mean you can’t always follow the traditional classroom education timetable and being able to learn with more flexible hours can be an important benefit. Online learning offers students the opportunity to learn whenever best suits them. This helps them, and their parents, balance their education with their home life. Transport to school and their parents working hours are two examples of external influences that could impact a traditional education, however, with online learning these don’t have to be a problem. Whether it’s 6 AM or 6 PM, giving children the flexibility to learn when they feel motivated may also increase their ability to retain information.

Considers individual learning patterns

Every student learns differently, and in traditional education, children must adapt to the pace of the class or be left behind. One advantage of online learning is that children have more freedom to work at their own pace, which improves their learning experience and helps them build a better understanding with their teacher. This is also important for the teacher because it helps them structure their classes to suit the individual learning requirements of each child. The outcome: improved grades and a more enjoyable experience for the student and the teacher.

Allows children to create their own learning environment

Children learn better and feel more comfortable learning in an environment of their choosing. This isn’t always possible in a classroom but is one of the key advantages of online learning. As a student or a parent, you understand where you work best, whether it’s in the library, at home or anywhere else. Being able to take a laptop or tablet into your ideal working environment helps children maximise their potential and gain the most from their education. Everyone works differently and some students may prefer the classroom, but for those that don’t, this flexibility can have a positive impact on how they absorb information and help them improve their grades.

Provides students with more control over their learning

Traditional learning methods allow the teacher to decide how they will convey information to their students, but online learning provides more flexibility and gives children control over their education. We all learn differently – some of us prefer quiet study, others like interactive tasks and being challenged under pressure. While there are tasks online, one of the advantages is that it gives students time to teach themselves concepts differently. Some students prefer to learn slowly and explore different learning methods, helping them fully retain information. Once they feel prepared, they can then take online tests or ask their parents to challenge them on what they have learnt.

This article should help you understand the importance of online learning to students and teachers, and whether an online learning experience would be beneficial for your child. If you’re considering a virtual education, you can learn more about the experience we provide through Nord Anglia schools on our virtual schools page.

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The effects of online education on academic success: A meta-analysis study

• Published: 06 September 2021
• Volume 27 , pages 429–450, ( 2022 )

Cite this article

• Hakan Ulum   ORCID: orcid.org/0000-0002-1398-6935 1  

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The purpose of this study is to analyze the effect of online education, which has been extensively used on student achievement since the beginning of the pandemic. In line with this purpose, a meta-analysis of the related studies focusing on the effect of online education on students’ academic achievement in several countries between the years 2010 and 2021 was carried out. Furthermore, this study will provide a source to assist future studies with comparing the effect of online education on academic achievement before and after the pandemic. This meta-analysis study consists of 27 studies in total. The meta-analysis involves the studies conducted in the USA, Taiwan, Turkey, China, Philippines, Ireland, and Georgia. The studies included in the meta-analysis are experimental studies, and the total sample size is 1772. In the study, the funnel plot, Duval and Tweedie’s Trip and Fill Analysis, Orwin’s Safe N Analysis, and Egger’s Regression Test were utilized to determine the publication bias, which has been found to be quite low. Besides, Hedge’s g statistic was employed to measure the effect size for the difference between the means performed in accordance with the random effects model. The results of the study show that the effect size of online education on academic achievement is on a medium level. The heterogeneity test results of the meta-analysis study display that the effect size does not differ in terms of class level, country, online education approaches, and lecture moderators.

Avoid common mistakes on your manuscript.

1 Introduction

Information and communication technologies have become a powerful force in transforming the educational settings around the world. The pandemic has been an important factor in transferring traditional physical classrooms settings through adopting information and communication technologies and has also accelerated the transformation. The literature supports that learning environments connected to information and communication technologies highly satisfy students. Therefore, we need to keep interest in technology-based learning environments. Clearly, technology has had a huge impact on young people's online lives. This digital revolution can synergize the educational ambitions and interests of digitally addicted students. In essence, COVID-19 has provided us with an opportunity to embrace online learning as education systems have to keep up with the rapid emergence of new technologies.

Information and communication technologies that have an effect on all spheres of life are also actively included in the education field. With the recent developments, using technology in education has become inevitable due to personal and social reasons (Usta, 2011a ). Online education may be given as an example of using information and communication technologies as a consequence of the technological developments. Also, it is crystal clear that online learning is a popular way of obtaining instruction (Demiralay et al., 2016 ; Pillay et al., 2007 ), which is defined by Horton ( 2000 ) as a way of education that is performed through a web browser or an online application without requiring an extra software or a learning source. Furthermore, online learning is described as a way of utilizing the internet to obtain the related learning sources during the learning process, to interact with the content, the teacher, and other learners, as well as to get support throughout the learning process (Ally, 2004 ). Online learning has such benefits as learning independently at any time and place (Vrasidas & MsIsaac, 2000 ), granting facility (Poole, 2000 ), flexibility (Chizmar & Walbert, 1999 ), self-regulation skills (Usta, 2011b ), learning with collaboration, and opportunity to plan self-learning process.

Even though online education practices have not been comprehensive as it is now, internet and computers have been used in education as alternative learning tools in correlation with the advances in technology. The first distance education attempt in the world was initiated by the ‘Steno Courses’ announcement published in Boston newspaper in 1728. Furthermore, in the nineteenth century, Sweden University started the “Correspondence Composition Courses” for women, and University Correspondence College was afterwards founded for the correspondence courses in 1843 (Arat & Bakan, 2011 ). Recently, distance education has been performed through computers, assisted by the facilities of the internet technologies, and soon, it has evolved into a mobile education practice that is emanating from progress in the speed of internet connection, and the development of mobile devices.

With the emergence of pandemic (Covid-19), face to face education has almost been put to a halt, and online education has gained significant importance. The Microsoft management team declared to have 750 users involved in the online education activities on the 10 th March, just before the pandemic; however, on March 24, they informed that the number of users increased significantly, reaching the number of 138,698 users (OECD, 2020 ). This event supports the view that it is better to commonly use online education rather than using it as a traditional alternative educational tool when students do not have the opportunity to have a face to face education (Geostat, 2019 ). The period of Covid-19 pandemic has emerged as a sudden state of having limited opportunities. Face to face education has stopped in this period for a long time. The global spread of Covid-19 affected more than 850 million students all around the world, and it caused the suspension of face to face education. Different countries have proposed several solutions in order to maintain the education process during the pandemic. Schools have had to change their curriculum, and many countries supported the online education practices soon after the pandemic. In other words, traditional education gave its way to online education practices. At least 96 countries have been motivated to access online libraries, TV broadcasts, instructions, sources, video lectures, and online channels (UNESCO, 2020 ). In such a painful period, educational institutions went through online education practices by the help of huge companies such as Microsoft, Google, Zoom, Skype, FaceTime, and Slack. Thus, online education has been discussed in the education agenda more intensively than ever before.

Although online education approaches were not used as comprehensively as it has been used recently, it was utilized as an alternative learning approach in education for a long time in parallel with the development of technology, internet and computers. The academic achievement of the students is often aimed to be promoted by employing online education approaches. In this regard, academicians in various countries have conducted many studies on the evaluation of online education approaches and published the related results. However, the accumulation of scientific data on online education approaches creates difficulties in keeping, organizing and synthesizing the findings. In this research area, studies are being conducted at an increasing rate making it difficult for scientists to be aware of all the research outside of their ​​expertise. Another problem encountered in the related study area is that online education studies are repetitive. Studies often utilize slightly different methods, measures, and/or examples to avoid duplication. This erroneous approach makes it difficult to distinguish between significant differences in the related results. In other words, if there are significant differences in the results of the studies, it may be difficult to express what variety explains the differences in these results. One obvious solution to these problems is to systematically review the results of various studies and uncover the sources. One method of performing such systematic syntheses is the application of meta-analysis which is a methodological and statistical approach to draw conclusions from the literature. At this point, how effective online education applications are in increasing the academic success is an important detail. Has online education, which is likely to be encountered frequently in the continuing pandemic period, been successful in the last ten years? If successful, how much was the impact? Did different variables have an impact on this effect? Academics across the globe have carried out studies on the evaluation of online education platforms and publishing the related results (Chiao et al., 2018 ). It is quite important to evaluate the results of the studies that have been published up until now, and that will be published in the future. Has the online education been successful? If it has been, how big is the impact? Do the different variables affect this impact? What should we consider in the next coming online education practices? These questions have all motivated us to carry out this study. We have conducted a comprehensive meta-analysis study that tries to provide a discussion platform on how to develop efficient online programs for educators and policy makers by reviewing the related studies on online education, presenting the effect size, and revealing the effect of diverse variables on the general impact.

There have been many critical discussions and comprehensive studies on the differences between online and face to face learning; however, the focus of this paper is different in the sense that it clarifies the magnitude of the effect of online education and teaching process, and it represents what factors should be controlled to help increase the effect size. Indeed, the purpose here is to provide conscious decisions in the implementation of the online education process.

The general impact of online education on the academic achievement will be discovered in the study. Therefore, this will provide an opportunity to get a general overview of the online education which has been practiced and discussed intensively in the pandemic period. Moreover, the general impact of online education on academic achievement will be analyzed, considering different variables. In other words, the current study will allow to totally evaluate the study results from the related literature, and to analyze the results considering several cultures, lectures, and class levels. Considering all the related points, this study seeks to answer the following research questions:

What is the effect size of online education on academic achievement?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the country?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the class level?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the lecture?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the online education approaches?

This study aims at determining the effect size of online education, which has been highly used since the beginning of the pandemic, on students’ academic achievement in different courses by using a meta-analysis method. Meta-analysis is a synthesis method that enables gathering of several study results accurately and efficiently, and getting the total results in the end (Tsagris & Fragkos, 2018 ).

2.1 Selecting and coding the data (studies)

The required literature for the meta-analysis study was reviewed in July, 2020, and the follow-up review was conducted in September, 2020. The purpose of the follow-up review was to include the studies which were published in the conduction period of this study, and which met the related inclusion criteria. However, no study was encountered to be included in the follow-up review.

In order to access the studies in the meta-analysis, the databases of Web of Science, ERIC, and SCOPUS were reviewed by utilizing the keywords ‘online learning and online education’. Not every database has a search engine that grants access to the studies by writing the keywords, and this obstacle was considered to be an important problem to be overcome. Therefore, a platform that has a special design was utilized by the researcher. With this purpose, through the open access system of Cukurova University Library, detailed reviews were practiced using EBSCO Information Services (EBSCO) that allow reviewing the whole collection of research through a sole searching box. Since the fundamental variables of this study are online education and online learning, the literature was systematically reviewed in the related databases (Web of Science, ERIC, and SCOPUS) by referring to the keywords. Within this scope, 225 articles were accessed, and the studies were included in the coding key list formed by the researcher. The name of the researchers, the year, the database (Web of Science, ERIC, and SCOPUS), the sample group and size, the lectures that the academic achievement was tested in, the country that the study was conducted in, and the class levels were all included in this coding key.

The following criteria were identified to include 225 research studies which were coded based on the theoretical basis of the meta-analysis study: (1) The studies should be published in the refereed journals between the years 2020 and 2021, (2) The studies should be experimental studies that try to determine the effect of online education and online learning on academic achievement, (3) The values of the stated variables or the required statistics to calculate these values should be stated in the results of the studies, and (4) The sample group of the study should be at a primary education level. These criteria were also used as the exclusion criteria in the sense that the studies that do not meet the required criteria were not included in the present study.

After the inclusion criteria were determined, a systematic review process was conducted, following the year criterion of the study by means of EBSCO. Within this scope, 290,365 studies that analyze the effect of online education and online learning on academic achievement were accordingly accessed. The database (Web of Science, ERIC, and SCOPUS) was also used as a filter by analyzing the inclusion criteria. Hence, the number of the studies that were analyzed was 58,616. Afterwards, the keyword ‘primary education’ was used as the filter and the number of studies included in the study decreased to 3152. Lastly, the literature was reviewed by using the keyword ‘academic achievement’ and 225 studies were accessed. All the information of 225 articles was included in the coding key.

It is necessary for the coders to review the related studies accurately and control the validity, safety, and accuracy of the studies (Stewart & Kamins, 2001 ). Within this scope, the studies that were determined based on the variables used in this study were first reviewed by three researchers from primary education field, then the accessed studies were combined and processed in the coding key by the researcher. All these studies that were processed in the coding key were analyzed in accordance with the inclusion criteria by all the researchers in the meetings, and it was decided that 27 studies met the inclusion criteria (Atici & Polat, 2010 ; Carreon, 2018 ; Ceylan & Elitok Kesici, 2017 ; Chae & Shin, 2016 ; Chiang et al. 2014 ; Ercan, 2014 ; Ercan et al., 2016 ; Gwo-Jen et al., 2018 ; Hayes & Stewart, 2016 ; Hwang et al., 2012 ; Kert et al., 2017 ; Lai & Chen, 2010 ; Lai et al., 2015 ; Meyers et al., 2015 ; Ravenel et al., 2014 ; Sung et al., 2016 ; Wang & Chen, 2013 ; Yu, 2019 ; Yu & Chen, 2014 ; Yu & Pan, 2014 ; Yu et al., 2010 ; Zhong et al., 2017 ). The data from the studies meeting the inclusion criteria were independently processed in the second coding key by three researchers, and consensus meetings were arranged for further discussion. After the meetings, researchers came to an agreement that the data were coded accurately and precisely. Having identified the effect sizes and heterogeneity of the study, moderator variables that will show the differences between the effect sizes were determined. The data related to the determined moderator variables were added to the coding key by three researchers, and a new consensus meeting was arranged. After the meeting, researchers came to an agreement that moderator variables were coded accurately and precisely.

2.2 Study group

27 studies are included in the meta-analysis. The total sample size of the studies that are included in the analysis is 1772. The characteristics of the studies included are given in Table 1 .

2.3 Publication bias

Publication bias is the low capability of published studies on a research subject to represent all completed studies on the same subject (Card, 2011 ; Littell et al., 2008 ). Similarly, publication bias is the state of having a relationship between the probability of the publication of a study on a subject, and the effect size and significance that it produces. Within this scope, publication bias may occur when the researchers do not want to publish the study as a result of failing to obtain the expected results, or not being approved by the scientific journals, and consequently not being included in the study synthesis (Makowski et al., 2019 ). The high possibility of publication bias in a meta-analysis study negatively affects (Pecoraro, 2018 ) the accuracy of the combined effect size, causing the average effect size to be reported differently than it should be (Borenstein et al., 2009 ). For this reason, the possibility of publication bias in the included studies was tested before determining the effect sizes of the relationships between the stated variables. The possibility of publication bias of this meta-analysis study was analyzed by using the funnel plot, Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test.

2.4 Selecting the model

After determining the probability of publication bias of this meta-analysis study, the statistical model used to calculate the effect sizes was selected. The main approaches used in the effect size calculations according to the differentiation level of inter-study variance are fixed and random effects models (Pigott, 2012 ). Fixed effects model refers to the homogeneity of the characteristics of combined studies apart from the sample sizes, while random effects model refers to the parameter diversity between the studies (Cumming, 2012 ). While calculating the average effect size in the random effects model (Deeks et al., 2008 ) that is based on the assumption that effect predictions of different studies are only the result of a similar distribution, it is necessary to consider several situations such as the effect size apart from the sample error of combined studies, characteristics of the participants, duration, scope, and pattern of the study (Littell et al., 2008 ). While deciding the model in the meta-analysis study, the assumptions on the sample characteristics of the studies included in the analysis and the inferences that the researcher aims to make should be taken into consideration. The fact that the sample characteristics of the studies conducted in the field of social sciences are affected by various parameters shows that using random effects model is more appropriate in this sense. Besides, it is stated that the inferences made with the random effects model are beyond the studies included in the meta-analysis (Field, 2003 ; Field & Gillett, 2010 ). Therefore, using random effects model also contributes to the generalization of research data. The specified criteria for the statistical model selection show that according to the nature of the meta-analysis study, the model should be selected just before the analysis (Borenstein et al., 2007 ; Littell et al., 2008 ). Within this framework, it was decided to make use of the random effects model, considering that the students who are the samples of the studies included in the meta-analysis are from different countries and cultures, the sample characteristics of the studies differ, and the patterns and scopes of the studies vary as well.

2.5 Heterogeneity

Meta-analysis facilitates analyzing the research subject with different parameters by showing the level of diversity between the included studies. Within this frame, whether there is a heterogeneous distribution between the studies included in the study or not has been evaluated in the present study. The heterogeneity of the studies combined in this meta-analysis study has been determined through Q and I 2 tests. Q test evaluates the random distribution probability of the differences between the observed results (Deeks et al., 2008 ). Q value exceeding 2 value calculated according to the degree of freedom and significance, indicates the heterogeneity of the combined effect sizes (Card, 2011 ). I 2 test, which is the complementary of the Q test, shows the heterogeneity amount of the effect sizes (Cleophas & Zwinderman, 2017 ). I 2 value being higher than 75% is explained as high level of heterogeneity.

In case of encountering heterogeneity in the studies included in the meta-analysis, the reasons of heterogeneity can be analyzed by referring to the study characteristics. The study characteristics which may be related to the heterogeneity between the included studies can be interpreted through subgroup analysis or meta-regression analysis (Deeks et al., 2008 ). While determining the moderator variables, the sufficiency of the number of variables, the relationship between the moderators, and the condition to explain the differences between the results of the studies have all been considered in the present study. Within this scope, it was predicted in this meta-analysis study that the heterogeneity can be explained with the country, class level, and lecture moderator variables of the study in terms of the effect of online education, which has been highly used since the beginning of the pandemic, and it has an impact on the students’ academic achievement in different lectures. Some subgroups were evaluated and categorized together, considering that the number of effect sizes of the sub-dimensions of the specified variables is not sufficient to perform moderator analysis (e.g. the countries where the studies were conducted).

2.6 Interpreting the effect sizes

Effect size is a factor that shows how much the independent variable affects the dependent variable positively or negatively in each included study in the meta-analysis (Dinçer, 2014 ). While interpreting the effect sizes obtained from the meta-analysis, the classifications of Cohen et al. ( 2007 ) have been utilized. The case of differentiating the specified relationships of the situation of the country, class level, and school subject variables of the study has been identified through the Q test, degree of freedom, and p significance value Fig.  1 and 2 .

3 Findings and results

The purpose of this study is to determine the effect size of online education on academic achievement. Before determining the effect sizes in the study, the probability of publication bias of this meta-analysis study was analyzed by using the funnel plot, Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test.

When the funnel plots are examined, it is seen that the studies included in the analysis are distributed symmetrically on both sides of the combined effect size axis, and they are generally collected in the middle and lower sections. The probability of publication bias is low according to the plots. However, since the results of the funnel scatter plots may cause subjective interpretations, they have been supported by additional analyses (Littell et al., 2008 ). Therefore, in order to provide an extra proof for the probability of publication bias, it has been analyzed through Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test (Table 2 ).

Table 2 consists of the results of the rates of publication bias probability before counting the effect size of online education on academic achievement. According to the table, Orwin Safe N analysis results show that it is not necessary to add new studies to the meta-analysis in order for Hedges g to reach a value outside the range of ± 0.01. The Duval and Tweedie test shows that excluding the studies that negatively affect the symmetry of the funnel scatter plots for each meta-analysis or adding their exact symmetrical equivalents does not significantly differentiate the calculated effect size. The insignificance of the Egger tests results reveals that there is no publication bias in the meta-analysis study. The results of the analysis indicate the high internal validity of the effect sizes and the adequacy of representing the studies conducted on the relevant subject.

In this study, it was aimed to determine the effect size of online education on academic achievement after testing the publication bias. In line with the first purpose of the study, the forest graph regarding the effect size of online education on academic achievement is shown in Fig.  3 , and the statistics regarding the effect size are given in Table 3 .

The flow chart of the scanning and selection process of the studies

Funnel plot graphics representing the effect size of the effects of online education on academic success

Forest graph related to the effect size of online education on academic success

The square symbols in the forest graph in Fig.  3 represent the effect sizes, while the horizontal lines show the intervals in 95% confidence of the effect sizes, and the diamond symbol shows the overall effect size. When the forest graph is analyzed, it is seen that the lower and upper limits of the combined effect sizes are generally close to each other, and the study loads are similar. This similarity in terms of study loads indicates the similarity of the contribution of the combined studies to the overall effect size.

Figure  3 clearly represents that the study of Liu and others (Liu et al., 2018 ) has the lowest, and the study of Ercan and Bilen ( 2014 ) has the highest effect sizes. The forest graph shows that all the combined studies and the overall effect are positive. Furthermore, it is simply understood from the forest graph in Fig.  3 and the effect size statistics in Table 3 that the results of the meta-analysis study conducted with 27 studies and analyzing the effect of online education on academic achievement illustrate that this relationship is on average level (= 0.409).

After the analysis of the effect size in the study, whether the studies included in the analysis are distributed heterogeneously or not has also been analyzed. The heterogeneity of the combined studies was determined through the Q and I 2 tests. As a result of the heterogeneity test, Q statistical value was calculated as 29.576. With 26 degrees of freedom at 95% significance level in the chi-square table, the critical value is accepted as 38.885. The Q statistical value (29.576) counted in this study is lower than the critical value of 38.885. The I 2 value, which is the complementary of the Q statistics, is 12.100%. This value indicates that the accurate heterogeneity or the total variability that can be attributed to variability between the studies is 12%. Besides, p value is higher than (0.285) p = 0.05. All these values [Q (26) = 29.579, p = 0.285; I2 = 12.100] indicate that there is a homogeneous distribution between the effect sizes, and fixed effects model should be used to interpret these effect sizes. However, some researchers argue that even if the heterogeneity is low, it should be evaluated based on the random effects model (Borenstein et al., 2007 ). Therefore, this study gives information about both models. The heterogeneity of the combined studies has been attempted to be explained with the characteristics of the studies included in the analysis. In this context, the final purpose of the study is to determine the effect of the country, academic level, and year variables on the findings. Accordingly, the statistics regarding the comparison of the stated relations according to the countries where the studies were conducted are given in Table 4 .

As seen in Table 4 , the effect of online education on academic achievement does not differ significantly according to the countries where the studies were conducted in. Q test results indicate the heterogeneity of the relationships between the variables in terms of countries where the studies were conducted in. According to the table, the effect of online education on academic achievement was reported as the highest in other countries, and the lowest in the US. The statistics regarding the comparison of the stated relations according to the class levels are given in Table 5 .

As seen in Table 5 , the effect of online education on academic achievement does not differ according to the class level. However, the effect of online education on academic achievement is the highest in the 4 th class. The statistics regarding the comparison of the stated relations according to the class levels are given in Table 6 .

As seen in Table 6 , the effect of online education on academic achievement does not differ according to the school subjects included in the studies. However, the effect of online education on academic achievement is the highest in ICT subject.

The obtained effect size in the study was formed as a result of the findings attained from primary studies conducted in 7 different countries. In addition, these studies are the ones on different approaches to online education (online learning environments, social networks, blended learning, etc.). In this respect, the results may raise some questions about the validity and generalizability of the results of the study. However, the moderator analyzes, whether for the country variable or for the approaches covered by online education, did not create significant differences in terms of the effect sizes. If significant differences were to occur in terms of effect sizes, we could say that the comparisons we will make by comparing countries under the umbrella of online education would raise doubts in terms of generalizability. Moreover, no study has been found in the literature that is not based on a special approach or does not contain a specific technique conducted under the name of online education alone. For instance, one of the commonly used definitions is blended education which is defined as an educational model in which online education is combined with traditional education method (Colis & Moonen, 2001 ). Similarly, Rasmussen ( 2003 ) defines blended learning as “a distance education method that combines technology (high technology such as television, internet, or low technology such as voice e-mail, conferences) with traditional education and training.” Further, Kerres and Witt (2003) define blended learning as “combining face-to-face learning with technology-assisted learning.” As it is clearly observed, online education, which has a wider scope, includes many approaches.

As seen in Table 7 , the effect of online education on academic achievement does not differ according to online education approaches included in the studies. However, the effect of online education on academic achievement is the highest in Web Based Problem Solving Approach.

4 Conclusions and discussion

Considering the developments during the pandemics, it is thought that the diversity in online education applications as an interdisciplinary pragmatist field will increase, and the learning content and processes will be enriched with the integration of new technologies into online education processes. Another prediction is that more flexible and accessible learning opportunities will be created in online education processes, and in this way, lifelong learning processes will be strengthened. As a result, it is predicted that in the near future, online education and even digital learning with a newer name will turn into the main ground of education instead of being an alternative or having a support function in face-to-face learning. The lessons learned from the early period online learning experience, which was passed with rapid adaptation due to the Covid19 epidemic, will serve to develop this method all over the world, and in the near future, online learning will become the main learning structure through increasing its functionality with the contribution of new technologies and systems. If we look at it from this point of view, there is a necessity to strengthen online education.

In this study, the effect of online learning on academic achievement is at a moderate level. To increase this effect, the implementation of online learning requires support from teachers to prepare learning materials, to design learning appropriately, and to utilize various digital-based media such as websites, software technology and various other tools to support the effectiveness of online learning (Rolisca & Achadiyah, 2014 ). According to research conducted by Rahayu et al. ( 2017 ), it has been proven that the use of various types of software increases the effectiveness and quality of online learning. Implementation of online learning can affect students' ability to adapt to technological developments in that it makes students use various learning resources on the internet to access various types of information, and enables them to get used to performing inquiry learning and active learning (Hart et al., 2019 ; Prestiadi et al., 2019 ). In addition, there may be many reasons for the low level of effect in this study. The moderator variables examined in this study could be a guide in increasing the level of practical effect. However, the effect size did not differ significantly for all moderator variables. Different moderator analyzes can be evaluated in order to increase the level of impact of online education on academic success. If confounding variables that significantly change the effect level are detected, it can be spoken more precisely in order to increase this level. In addition to the technical and financial problems, the level of impact will increase if a few other difficulties are eliminated such as students, lack of interaction with the instructor, response time, and lack of traditional classroom socialization.

In addition, COVID-19 pandemic related social distancing has posed extreme difficulties for all stakeholders to get online as they have to work in time constraints and resource constraints. Adopting the online learning environment is not just a technical issue, it is a pedagogical and instructive challenge as well. Therefore, extensive preparation of teaching materials, curriculum, and assessment is vital in online education. Technology is the delivery tool and requires close cross-collaboration between teaching, content and technology teams (CoSN, 2020 ).

Online education applications have been used for many years. However, it has come to the fore more during the pandemic process. This result of necessity has brought with it the discussion of using online education instead of traditional education methods in the future. However, with this research, it has been revealed that online education applications are moderately effective. The use of online education instead of face-to-face education applications can only be possible with an increase in the level of success. This may have been possible with the experience and knowledge gained during the pandemic process. Therefore, the meta-analysis of experimental studies conducted in the coming years will guide us. In this context, experimental studies using online education applications should be analyzed well. It would be useful to identify variables that can change the level of impacts with different moderators. Moderator analyzes are valuable in meta-analysis studies (for example, the role of moderators in Karl Pearson's typhoid vaccine studies). In this context, each analysis study sheds light on future studies. In meta-analyses to be made about online education, it would be beneficial to go beyond the moderators determined in this study. Thus, the contribution of similar studies to the field will increase more.

The purpose of this study is to determine the effect of online education on academic achievement. In line with this purpose, the studies that analyze the effect of online education approaches on academic achievement have been included in the meta-analysis. The total sample size of the studies included in the meta-analysis is 1772. While the studies included in the meta-analysis were conducted in the US, Taiwan, Turkey, China, Philippines, Ireland, and Georgia, the studies carried out in Europe could not be reached. The reason may be attributed to that there may be more use of quantitative research methods from a positivist perspective in the countries with an American academic tradition. As a result of the study, it was found out that the effect size of online education on academic achievement (g = 0.409) was moderate. In the studies included in the present research, we found that online education approaches were more effective than traditional ones. However, contrary to the present study, the analysis of comparisons between online and traditional education in some studies shows that face-to-face traditional learning is still considered effective compared to online learning (Ahmad et al., 2016 ; Hamdani & Priatna, 2020 ; Wei & Chou, 2020 ). Online education has advantages and disadvantages. The advantages of online learning compared to face-to-face learning in the classroom is the flexibility of learning time in online learning, the learning time does not include a single program, and it can be shaped according to circumstances (Lai et al., 2019 ). The next advantage is the ease of collecting assignments for students, as these can be done without having to talk to the teacher. Despite this, online education has several weaknesses, such as students having difficulty in understanding the material, teachers' inability to control students, and students’ still having difficulty interacting with teachers in case of internet network cuts (Swan, 2007 ). According to Astuti et al ( 2019 ), face-to-face education method is still considered better by students than e-learning because it is easier to understand the material and easier to interact with teachers. The results of the study illustrated that the effect size (g = 0.409) of online education on academic achievement is of medium level. Therefore, the results of the moderator analysis showed that the effect of online education on academic achievement does not differ in terms of country, lecture, class level, and online education approaches variables. After analyzing the literature, several meta-analyses on online education were published (Bernard et al., 2004 ; Machtmes & Asher, 2000 ; Zhao et al., 2005 ). Typically, these meta-analyzes also include the studies of older generation technologies such as audio, video, or satellite transmission. One of the most comprehensive studies on online education was conducted by Bernard et al. ( 2004 ). In this study, 699 independent effect sizes of 232 studies published from 1985 to 2001 were analyzed, and face-to-face education was compared to online education, with respect to success criteria and attitudes of various learners from young children to adults. In this meta-analysis, an overall effect size close to zero was found for the students' achievement (g +  = 0.01).

In another meta-analysis study carried out by Zhao et al. ( 2005 ), 98 effect sizes were examined, including 51 studies on online education conducted between 1996 and 2002. According to the study of Bernard et al. ( 2004 ), this meta-analysis focuses on the activities done in online education lectures. As a result of the research, an overall effect size close to zero was found for online education utilizing more than one generation technology for students at different levels. However, the salient point of the meta-analysis study of Zhao et al. is that it takes the average of different types of results used in a study to calculate an overall effect size. This practice is problematic because the factors that develop one type of learner outcome (e.g. learner rehabilitation), particularly course characteristics and practices, may be quite different from those that develop another type of outcome (e.g. learner's achievement), and it may even cause damage to the latter outcome. While mixing the studies with different types of results, this implementation may obscure the relationship between practices and learning.

Some meta-analytical studies have focused on the effectiveness of the new generation distance learning courses accessed through the internet for specific student populations. For instance, Sitzmann and others (Sitzmann et al., 2006 ) reviewed 96 studies published from 1996 to 2005, comparing web-based education of job-related knowledge or skills with face-to-face one. The researchers found that web-based education in general was slightly more effective than face-to-face education, but it is insufficient in terms of applicability ("knowing how to apply"). In addition, Sitzmann et al. ( 2006 ) revealed that Internet-based education has a positive effect on theoretical knowledge in quasi-experimental studies; however, it positively affects face-to-face education in experimental studies performed by random assignment. This moderator analysis emphasizes the need to pay attention to the factors of designs of the studies included in the meta-analysis. The designs of the studies included in this meta-analysis study were ignored. This can be presented as a suggestion to the new studies that will be conducted.

Another meta-analysis study was conducted by Cavanaugh et al. ( 2004 ), in which they focused on online education. In this study on internet-based distance education programs for students under 12 years of age, the researchers combined 116 results from 14 studies published between 1999 and 2004 to calculate an overall effect that was not statistically different from zero. The moderator analysis carried out in this study showed that there was no significant factor affecting the students' success. This meta-analysis used multiple results of the same study, ignoring the fact that different results of the same student would not be independent from each other.

In conclusion, some meta-analytical studies analyzed the consequences of online education for a wide range of students (Bernard et al., 2004 ; Zhao et al., 2005 ), and the effect sizes were generally low in these studies. Furthermore, none of the large-scale meta-analyzes considered the moderators, database quality standards or class levels in the selection of the studies, while some of them just referred to the country and lecture moderators. Advances in internet-based learning tools, the pandemic process, and increasing popularity in different learning contexts have required a precise meta-analysis of students' learning outcomes through online learning. Previous meta-analysis studies were typically based on the studies, involving narrow range of confounding variables. In the present study, common but significant moderators such as class level and lectures during the pandemic process were discussed. For instance, the problems have been experienced especially in terms of eligibility of class levels in online education platforms during the pandemic process. It was found that there is a need to study and make suggestions on whether online education can meet the needs of teachers and students.

Besides, the main forms of online education in the past were to watch the open lectures of famous universities and educational videos of institutions. In addition, online education is mainly a classroom-based teaching implemented by teachers in their own schools during the pandemic period, which is an extension of the original school education. This meta-analysis study will stand as a source to compare the effect size of the online education forms of the past decade with what is done today, and what will be done in the future.

Lastly, the heterogeneity test results of the meta-analysis study display that the effect size does not differ in terms of class level, country, online education approaches, and lecture moderators.

*Studies included in meta-analysis

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Ulum, H. The effects of online education on academic success: A meta-analysis study. Educ Inf Technol 27 , 429–450 (2022). https://doi.org/10.1007/s10639-021-10740-8

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With Online Learning, ‘Let’s Take a Breath and See What Worked and Didn’t Work’

The massive expansion of online higher education created a worldwide laboratory to finally assess its value and its future.

By Jon Marcus

This article is part of our Learning special report about how the pandemic has continued to change how we approach education.

Kameshwari Shankar watched for years as college and university courses were increasingly taught online instead of face to face, but without a definitive way of understanding which students benefited the most from them, or what if anything they learned.

As an associate professor of economics at City College in New York, Dr. Shankar knew that one of the most important requirements of scientific research was often missing from studies of the effectiveness of online higher education: a control group.

Then came the Covid-19 pandemic, forcing almost everyone on earth online and creating a randomized trial on a planetary scale with a control group so big, it was a researcher’s wildest dream.

“The pandemic and the lockdown — that’s a great natural experiment,” said Dr. Shankar. A study she co-authored called it “a gold mine of evidence.”

Now the results of this experiment are starting to come in. They suggest that online higher education may work better than prepandemic research suggested, and that it is evolving decisively toward a combination of in-person and online, or “blended,” classes.

“For two years we’ve had sort of a petri dish of experimenting with learning online,” said Anant Agarwal, chief platform officer of the online program management company 2U and former CEO of edX, the online provider created by the Massachusetts Institute of Technology and Harvard and sold last year to 2U for $800 million. “Now people are sitting down and saying, ‘Let’s take a breath. Let’s see what worked and didn’t work.’ ”

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Argumentative Essay: Online Learning and Educational Access

Conventional learning is evolving with the help of computers and online technology. New ways of learning are now available, and improved access is one of the most important benefits available. People all around the world are experiencing improved mobility as a result of the freedom and potential that online learning provides, and as academic institutions and learning organisations adopt online learning technologies and remote-access learning, formal academic education is becoming increasingly legitimate. This essay argues the contemporary benefits of online learning, and that these benefits significantly outweigh the issues, challenges and disadvantages of online learning.

Online learning is giving people new choices and newfound flexibility with their personal learning and development. Whereas before, formal academic qualifications could only be gained by participating in a full time course on site, the internet has allowed institutions to expand their reach and offer recognized courses on a contact-partial, or totally virtual, basis. Institutions can do so with relatively few extra resources, and for paid courses this constitutes excellent value, and the student benefits with greater educational access and greater flexibility to learn and get qualified even when there lots of other personal commitments to deal with.

Flexibility is certainly one of the most important benefits, but just as important is educational access. On top of the internet’s widespread presence in developed countries, the internet is becoming increasingly available in newly developed and developing countries. Even without considering the general informational exposure that the internet delivers, online academic courses and learning initiatives are becoming more aware of the needs of people from disadvantaged backgrounds, and this means that people from such backgrounds are in a much better position to learn and progress than they used to be.

The biggest argument that raises doubt over online learning is the quality of online courses in comparison to conventional courses. Are such online courses good enough for employers to take notice? The second biggest argument is the current reality that faces many people from disadvantaged backgrounds, despite the improvements made in this area in recent years – they do not have the level of basic access needed to benefit from online learning. In fact, there are numerous sources of evidence that claim disadvantaged students are not receiving anywhere near the sort of benefits that online learning institutions and promoters are trying to instigate. Currently there are many organisations, campaigns and initiatives that are working to expand access to higher education. With such high participation, it can be argued that it is only a matter of time before the benefits are truly realised, but what about the global online infrastructure?

There is another argument that is very difficult to dispel, and that is the response of different types of students to the online learning paradigm. Evidence shows that there are certain groups of students that benefit from college distance learning much more than other groups. In essence, students must be highly motivated and highly disciplined if they are to learn effectively in their own private environment.

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Capturing the benefits of remote learning

How education experts are applying lessons learned in the pandemic to promote positive outcomes for all students

Vol. 52 No. 6 Print version: page 46

• Schools and Classrooms

With schools open again after more than a year of teaching students outside the classroom, the pandemic sometimes feels like a distant memory. The return to classrooms this fall brings major relief for many families and educators. Factors such as a lack of reliable technology and family support, along with an absence of school resources, resulted in significant academic setbacks, not to mention stress for everyone involved.

But for all the downsides of distance learning, educators, psychologists, and parents have seen some benefits as well. For example, certain populations of students found new ways to be more engaged in learning, without the distractions and difficulties they faced in the classroom, and the general challenges of remote learning and the pandemic brought mental health to the forefront of the classroom experience.

Peter Faustino, PsyD, a school psychologist in Scarsdale, New York, said the pandemic also prompted educators and school psychologists to find creative new ways of ensuring students’ emotional and academic well-being. “So many students were impacted by the pandemic, so we couldn’t just assume they would find resources on their own,” said Faustino. “We had to work hard at figuring out new ways to connect with them.”

Here are some of the benefits of distance learning that school psychologists and educators have observed and the ways in which they’re implementing those lessons post-pandemic, with the goal of creating a more equitable, productive environment for all students.

Prioritizing mental health

Faustino said that during the pandemic, he had more mental health conversations with students, families, and teachers than ever. “Because COVID-19 affected everyone, we’re now having mental health discussions as school leaders on a daily and weekly basis,” he said.

This renewed focus on mental health has the potential to improve students’ well-being in profound ways—starting with helping them recover from the pandemic’s effects. In New York City, for example, schools are hiring more than 600 new clinicians, including psychologists , to screen students’ mental health and help them process pandemic-related trauma and adjust to the “new normal” of attending school in person.

Educators and families are also realizing the importance of protecting students’ mental health more generally—not only for their health and safety but for their learning. “We’ve been seeing a broader appreciation for the fact that mental health is a prerequisite for learning rather than an extracurricular pursuit,” said Eric Rossen, PhD, director of professional development and standards at the National Association of School Psychologists.

As a result, Rossen hopes educators will embed social and emotional learning components into daily instruction. For example, teachers could teach mindfulness techniques in the classroom and take in-the-moment opportunities to help kids resolve conflicts or manage stress.

Improved access to mental health resources in schools is another positive effect. Because of physical distancing guidelines, school leaders had to find ways to deliver mental health services remotely, including via online referrals and teletherapy with school psychologists and counselors.

Early in the pandemic, Faustino said he was hesitant about teletherapy’s effectiveness; now, he hopes to continue offering a virtual option. Online scheduling and remote appointments make it easier for students to access mental health resources, and some students even enjoy virtual appointments more, as they can attend therapy in their own spaces rather than showing up in the counselor’s office. For older students, Faustino said that level of comfort often leads to more productive, open conversations.

Autonomy as a key to motivation

Research suggests that when students have more choices about their materials and activities, they’re more motivated—which may translate to increased learning and academic success. In a 2016 paper, psychology researcher Allan Wigfield, PhD, and colleagues make the case that control and autonomy in reading activities can improve both motivation and comprehension ( Child Development Perspectives , Vol. 10, No. 3 ).

During the period of online teaching, some students had opportunities to learn at their own pace, which educators say improved their learning outcomes—especially in older students. In a 2020 survey of more than 600 parents, researchers found the second-most-valued benefit of distance learning was flexibility—not only in schedule but in method of learning.

In a recent study, researchers found that 18% of parents pointed to greater flexibility in a child’s schedule or way of learning as the biggest benefit or positive outcome related to remote learning ( School Psychology , Roy, A., et al., in press).

This individualized learning helps students find more free time for interests and also allows them to conduct their learning at a time they’re most likely to succeed. During the pandemic, Mark Gardner, an English teacher at Hayes Freedom High School in Camas, Washington, said he realized how important student-centered learning is and that whether learning happens should take precedence over how and when it occurs.

For example, one of his students thrived when he had the choice to do work later at night because he took care of his siblings during the day. Now, Gardner posts homework online on Sundays so students can work at their own pace during the week. “Going forward, we want to create as many access points as we can for kids to engage with learning,” he said.

Rosanna Breaux , PhD, an assistant professor of psychology and assistant director of the Child Study Center at Virginia Tech, agrees. “I’d like to see this flexibility continue in some way, where—similar to college—students can guide their own learning based on their interests or when they’re most productive,” she said.

During the pandemic, many educators were forced to rethink how to keep students engaged. Rossen said because many school districts shared virtual curricula during the period of remote learning, older students could take more challenging or interesting courses than they could in person. The same is true for younger students: Megan Hibbard, a teacher in White Bear Lake, Minnesota, said many of her fifth graders enjoyed distance learning more than in-person because they could work on projects that aligned with their interests.

“So much of motivation is discovering the unique things the student finds interesting,” said Hunter Gehlbach, PhD, a professor and vice dean at the Johns Hopkins School of Education. “The more you can facilitate students spending more time on the things they’re really interested in, the better.”

Going forward, Rossen hopes virtual curricula will allow students greater opportunities to pursue their interests, such as by taking AP classes, foreign languages, or vocational electives not available at their own schools.

Conversely, Hibbard’s goal is to increase opportunities for students to pursue their interests in the in-person setting. For example, she plans to increase what she calls “Genius Hours,” a time at the end of the school day when students can focus on high-interest projects they’ll eventually share with the class.

Better understanding of children's needs

One of the most important predictors of a child’s success in school is parental involvement in their education. For example, in a meta-analysis of studies, researchers linked parental engagement in their middle schoolers’ education with greater measures of success (Hill, N. E., & Tyson, D. F., Developmental Psychology , Vol. 45, No. 3, 2009).

During the pandemic, parents had new opportunities to learn about their kids and, as a result, help them learn. According to a study by Breaux and colleagues, many parents reported that the pandemic allowed them a better understanding of their child’s learning style, needs, or curriculum.

James C. Kaufman , PhD, a professor of educational psychology at the University of Connecticut and the father of an elementary schooler and a high schooler, said he’s had a front-row seat for his sons’ learning for the first time. “Watching my kids learn and engage with classmates has given me some insight in how to parent them,” he said.

Stephen Becker , PhD, a pediatric psychologist at Cincinnati Children’s Hospital Medical Center, said some parents have observed their children’s behavior or learning needs for the first time, which could prompt them to consider assessment and Individualized Education Program (IEP) services. Across the board, Gehlbach said parents are realizing how they can better partner with schools to ensure their kids’ well-being and academic success.

For example, Samantha Marks , PsyD, a Florida-based clinical psychologist, said she realized how much help her middle school daughter, a gifted and talented student with a 504 plan (a plan for how the school will offer support for a student’s disability) for anxiety, needed with independence. “Bringing the learning home made it crystal clear what we needed to teach our daughter to be independent and improve executive functioning” she said. “My takeaway from this is that more parents need to be involved in their children’s education in a healthy, helpful way.”

Marks also gained a deeper understanding of her daughter’s mental health needs. Through her 504 plan, she received help managing her anxiety at school—at home, though, Marks wasn’t always available to help, which taught her the importance of helping her daughter manage her anxiety independently.

Along with parents gaining a deeper understanding of their kids’ needs, the pandemic also prompted greater parent participation in school. For example, Rossen said his kids’ school had virtual school board meetings; he hopes virtual options continue for events like back-to-school information sessions and parenting workshops. “These meetings are often in the evening, and if you’re a single parent or sole caregiver, you may not want to pay a babysitter in order to attend,” he said.

Brittany Greiert, PhD, a school psychologist in Aurora, Colorado, says culturally and linguistically diverse families at her schools benefited from streamlined opportunities to communicate with administrators and teachers. Her district used an app that translates parent communication into 150 languages. Parents can also remotely participate in meetings with school psychologists or teachers, which Greiert says she plans to continue post-pandemic.

Decreased bullying

During stay-at-home orders, kids with neurodevelopmental disorders experienced less bullying than pre-pandemic (McFayden, T. C., et al., Journal of Rural Mental Health , No. 45, Vol. 2, 2021). According to 2019 research, children with emotional, behavioral, and physical health needs experience increased rates of bullying victimization ( Lebrun-Harris, L. A., et al., ), and from the U.S. Department of Education suggests the majority of bullying takes place in person and in unsupervised areas (PDF) .

Scott Graves , PhD, an associate professor of educational studies at The Ohio State University and a member of APA’s Coalition for Psychology in Schools and Education (CPSE), said the supervision by parents and teachers in remote learning likely played a part in reducing bullying. As a result, he’s less worried his Black sons will be victims of microaggressions and racist behavior during online learning.

Some Asian American families also report that remote learning offered protection against racism students may have experienced in person. Shereen Naser, PhD, an associate professor of psychology at Cleveland State University and a member of CPSE, and colleagues found that students are more comfortable saying discriminatory things in school when their teachers are also doing so; Naser suspects this trickle-down effect is less likely to happen when students learn from home ( School Psychology International , 2019).

Reductions in bullying and microaggressions aren’t just beneficial for students’ long-term mental health. Breaux said less bullying at school results in less stress, which can improve students’ self-esteem and mood—both of which impact their ability to learn.

Patricia Perez, PhD, an associate professor of international psychology at The Chicago School of Professional Psychology and a member of CPSE, said it’s important for schools to be proactive in providing spaces for support and cultural expression for students from vulnerable backgrounds, whether in culture-specific clubs, all-school assemblies that address racism and other diversity-related topics, or safe spaces to process feelings with teachers.

According to Rossen, many schools are already considering how to continue supporting students at risk for bullying, including by restructuring the school environment.

One principal, Rossen said, recently switched to single-use bathrooms to avoid congregating in those spaces once in-person learning commences to maintain social distancing requirements. “The principal received feedback from students about how going to the bathroom is much less stressful for these students in part due to less bullying,” he said.

More opportunities for special needs students

In Becker and Breaux’s research, parents of students with attention-deficit/hyperactivity disorder (ADHD), particularly those with a 504 plan and IEP, reported greater difficulties with remote learning. But some students with special learning needs—including those with IEPs and 504 plans—thrived in an at-home learning environment. Recent reporting in The New York Times suggests this is one reason many students want to continue online learning.

According to Cara Laitusis, PhD, a principal research scientist at Educational Testing Service ( ETS ) and a member of CPSE, reduced distractions may improve learning outcomes for some students with disabilities that impact attention in a group setting. “In assessments, small group or individual settings are frequently requested accommodations for some students with ADHD, anxiety, or autism. Being in a quiet place alone without peers for part of the instructional day may also allow for more focus,” she said. However, she also pointed out the benefits of inclusion in the classroom for developing social skills with peers.

Remote learning has improved academic outcomes for students with different learning needs, too. Marks said her seventh-grade daughter, a visual learner, appreciated the increase in video presentations and graphics. Similarly, Hibbard said many of her students who struggle to grasp lessons on the first try have benefited from the ability to watch videos over again until they understand. Post-pandemic, she plans to record bite-size lessons—for example, a 1-minute video of a long division problem—so her students can rewatch and process at their own rate.

Learners with anxiety also appreciate the option not to be in the classroom, because the social pressures of being surrounded by peers can make it hard to focus on academics. “Several of my students have learned more in the last year simply due to the absence of anxiety,” said Rosie Reid, an English teacher at Ygnacio Valley High School in Concord, California, and a 2019 California Teacher of the Year. “It’s just one less thing to negotiate in a learning environment.”

On online learning platforms, it’s easier for kids with social anxiety or shyness to participate. One of Gardner’s students with social anxiety participated far more in virtual settings and chats. Now, Gardner is brainstorming ways to encourage students to chat in person, such as by projecting a chat screen on the blackboard.

Technology has helped school psychologists better engage students, too. For example, Greiert said the virtual setting gave her a new understanding of her students’ personalities and needs. “Typing out their thoughts, they were able to demonstrate humor or complex thoughts they never demonstrated in person,” she said. “I really want to keep incorporating technology into sessions so kids can keep building on their strengths.”

Reid says that along with the high school students she teaches, she’s seen her 6-year-old daughter benefit from learning at her own pace in the familiarity of her home. Before the pandemic, she was behind academically, but by guiding her own learning—writing poems, reading books, playing outside with her siblings—she’s blossomed. “For me, as both a mother and as a teacher, this whole phenomenon has opened the door to what education can be,” Reid said.

Eleanor Di Marino-Linnen, PhD, a psychologist and superintendent of the Rose Tree Media School District in Media, Pennsylvania, says the pandemic afforded her district a chance to rethink old routines and implement new ones. “As challenging as it is, it’s definitely an exciting time to be in education when we have a chance to reenvision what schools have looked like for many years,” she said. “We want to capitalize on what we’ve learned.”

Further reading

Why are some kids thriving during remote learning? Fleming, N., Edutopia, 2020

Remote learning has been a disaster for many students. But some kids have thrived. Gilman, A., The Washington Post , Oct. 3, 2020

A preliminary examination of key strategies, challenges, and benefits of remote learning expressed by parents during the COVID-19 pandemic Roy, A., et al., School Psychology , in press

Remote learning during COVID-19: Examining school practices, service continuation, and difficulties for adolescents with and without attention-deficit/hyperactivity disorder Becker S. P., et al., Journal of Adolescent Health , 2020

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• Published: 25 January 2021

Online education in the post-COVID era

• Barbara B. Lockee 1  

Nature Electronics volume  4 ,  pages 5–6 ( 2021 ) Cite this article

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The coronavirus pandemic has forced students and educators across all levels of education to rapidly adapt to online learning. The impact of this — and the developments required to make it work — could permanently change how education is delivered.

The COVID-19 pandemic has forced the world to engage in the ubiquitous use of virtual learning. And while online and distance learning has been used before to maintain continuity in education, such as in the aftermath of earthquakes 1 , the scale of the current crisis is unprecedented. Speculation has now also begun about what the lasting effects of this will be and what education may look like in the post-COVID era. For some, an immediate retreat to the traditions of the physical classroom is required. But for others, the forced shift to online education is a moment of change and a time to reimagine how education could be delivered 2 .

Looking back

Online education has traditionally been viewed as an alternative pathway, one that is particularly well suited to adult learners seeking higher education opportunities. However, the emergence of the COVID-19 pandemic has required educators and students across all levels of education to adapt quickly to virtual courses. (The term ‘emergency remote teaching’ was coined in the early stages of the pandemic to describe the temporary nature of this transition 3 .) In some cases, instruction shifted online, then returned to the physical classroom, and then shifted back online due to further surges in the rate of infection. In other cases, instruction was offered using a combination of remote delivery and face-to-face: that is, students can attend online or in person (referred to as the HyFlex model 4 ). In either case, instructors just had to figure out how to make it work, considering the affordances and constraints of the specific learning environment to create learning experiences that were feasible and effective.

The use of varied delivery modes does, in fact, have a long history in education. Mechanical (and then later electronic) teaching machines have provided individualized learning programmes since the 1950s and the work of B. F. Skinner 5 , who proposed using technology to walk individual learners through carefully designed sequences of instruction with immediate feedback indicating the accuracy of their response. Skinner’s notions formed the first formalized representations of programmed learning, or ‘designed’ learning experiences. Then, in the 1960s, Fred Keller developed a personalized system of instruction 6 , in which students first read assigned course materials on their own, followed by one-on-one assessment sessions with a tutor, gaining permission to move ahead only after demonstrating mastery of the instructional material. Occasional class meetings were held to discuss concepts, answer questions and provide opportunities for social interaction. A personalized system of instruction was designed on the premise that initial engagement with content could be done independently, then discussed and applied in the social context of a classroom.

These predecessors to contemporary online education leveraged key principles of instructional design — the systematic process of applying psychological principles of human learning to the creation of effective instructional solutions — to consider which methods (and their corresponding learning environments) would effectively engage students to attain the targeted learning outcomes. In other words, they considered what choices about the planning and implementation of the learning experience can lead to student success. Such early educational innovations laid the groundwork for contemporary virtual learning, which itself incorporates a variety of instructional approaches and combinations of delivery modes.

Online learning and the pandemic

Fast forward to 2020, and various further educational innovations have occurred to make the universal adoption of remote learning a possibility. One key challenge is access. Here, extensive problems remain, including the lack of Internet connectivity in some locations, especially rural ones, and the competing needs among family members for the use of home technology. However, creative solutions have emerged to provide students and families with the facilities and resources needed to engage in and successfully complete coursework 7 . For example, school buses have been used to provide mobile hotspots, and class packets have been sent by mail and instructional presentations aired on local public broadcasting stations. The year 2020 has also seen increased availability and adoption of electronic resources and activities that can now be integrated into online learning experiences. Synchronous online conferencing systems, such as Zoom and Google Meet, have allowed experts from anywhere in the world to join online classrooms 8 and have allowed presentations to be recorded for individual learners to watch at a time most convenient for them. Furthermore, the importance of hands-on, experiential learning has led to innovations such as virtual field trips and virtual labs 9 . A capacity to serve learners of all ages has thus now been effectively established, and the next generation of online education can move from an enterprise that largely serves adult learners and higher education to one that increasingly serves younger learners, in primary and secondary education and from ages 5 to 18.

The COVID-19 pandemic is also likely to have a lasting effect on lesson design. The constraints of the pandemic provided an opportunity for educators to consider new strategies to teach targeted concepts. Though rethinking of instructional approaches was forced and hurried, the experience has served as a rare chance to reconsider strategies that best facilitate learning within the affordances and constraints of the online context. In particular, greater variance in teaching and learning activities will continue to question the importance of ‘seat time’ as the standard on which educational credits are based 10 — lengthy Zoom sessions are seldom instructionally necessary and are not aligned with the psychological principles of how humans learn. Interaction is important for learning but forced interactions among students for the sake of interaction is neither motivating nor beneficial.

While the blurring of the lines between traditional and distance education has been noted for several decades 11 , the pandemic has quickly advanced the erasure of these boundaries. Less single mode, more multi-mode (and thus more educator choices) is becoming the norm due to enhanced infrastructure and developed skill sets that allow people to move across different delivery systems 12 . The well-established best practices of hybrid or blended teaching and learning 13 have served as a guide for new combinations of instructional delivery that have developed in response to the shift to virtual learning. The use of multiple delivery modes is likely to remain, and will be a feature employed with learners of all ages 14 , 15 . Future iterations of online education will no longer be bound to the traditions of single teaching modes, as educators can support pedagogical approaches from a menu of instructional delivery options, a mix that has been supported by previous generations of online educators 16 .

Also significant are the changes to how learning outcomes are determined in online settings. Many educators have altered the ways in which student achievement is measured, eliminating assignments and changing assessment strategies altogether 17 . Such alterations include determining learning through strategies that leverage the online delivery mode, such as interactive discussions, student-led teaching and the use of games to increase motivation and attention. Specific changes that are likely to continue include flexible or extended deadlines for assignment completion 18 , more student choice regarding measures of learning, and more authentic experiences that involve the meaningful application of newly learned skills and knowledge 19 , for example, team-based projects that involve multiple creative and social media tools in support of collaborative problem solving.

In response to the COVID-19 pandemic, technological and administrative systems for implementing online learning, and the infrastructure that supports its access and delivery, had to adapt quickly. While access remains a significant issue for many, extensive resources have been allocated and processes developed to connect learners with course activities and materials, to facilitate communication between instructors and students, and to manage the administration of online learning. Paths for greater access and opportunities to online education have now been forged, and there is a clear route for the next generation of adopters of online education.

Before the pandemic, the primary purpose of distance and online education was providing access to instruction for those otherwise unable to participate in a traditional, place-based academic programme. As its purpose has shifted to supporting continuity of instruction, its audience, as well as the wider learning ecosystem, has changed. It will be interesting to see which aspects of emergency remote teaching remain in the next generation of education, when the threat of COVID-19 is no longer a factor. But online education will undoubtedly find new audiences. And the flexibility and learning possibilities that have emerged from necessity are likely to shift the expectations of students and educators, diminishing further the line between classroom-based instruction and virtual learning.

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The effects of online education on academic success: A meta-analysis study

Primary Education, Ministry of Turkish National Education, Mersin, Turkey

The purpose of this study is to analyze the effect of online education, which has been extensively used on student achievement since the beginning of the pandemic. In line with this purpose, a meta-analysis of the related studies focusing on the effect of online education on students’ academic achievement in several countries between the years 2010 and 2021 was carried out. Furthermore, this study will provide a source to assist future studies with comparing the effect of online education on academic achievement before and after the pandemic. This meta-analysis study consists of 27 studies in total. The meta-analysis involves the studies conducted in the USA, Taiwan, Turkey, China, Philippines, Ireland, and Georgia. The studies included in the meta-analysis are experimental studies, and the total sample size is 1772. In the study, the funnel plot, Duval and Tweedie’s Trip and Fill Analysis, Orwin’s Safe N Analysis, and Egger’s Regression Test were utilized to determine the publication bias, which has been found to be quite low. Besides, Hedge’s g statistic was employed to measure the effect size for the difference between the means performed in accordance with the random effects model. The results of the study show that the effect size of online education on academic achievement is on a medium level. The heterogeneity test results of the meta-analysis study display that the effect size does not differ in terms of class level, country, online education approaches, and lecture moderators.

Introduction

Information and communication technologies have become a powerful force in transforming the educational settings around the world. The pandemic has been an important factor in transferring traditional physical classrooms settings through adopting information and communication technologies and has also accelerated the transformation. The literature supports that learning environments connected to information and communication technologies highly satisfy students. Therefore, we need to keep interest in technology-based learning environments. Clearly, technology has had a huge impact on young people's online lives. This digital revolution can synergize the educational ambitions and interests of digitally addicted students. In essence, COVID-19 has provided us with an opportunity to embrace online learning as education systems have to keep up with the rapid emergence of new technologies.

Information and communication technologies that have an effect on all spheres of life are also actively included in the education field. With the recent developments, using technology in education has become inevitable due to personal and social reasons (Usta, 2011a ). Online education may be given as an example of using information and communication technologies as a consequence of the technological developments. Also, it is crystal clear that online learning is a popular way of obtaining instruction (Demiralay et al., 2016 ; Pillay et al., 2007 ), which is defined by Horton ( 2000 ) as a way of education that is performed through a web browser or an online application without requiring an extra software or a learning source. Furthermore, online learning is described as a way of utilizing the internet to obtain the related learning sources during the learning process, to interact with the content, the teacher, and other learners, as well as to get support throughout the learning process (Ally, 2004 ). Online learning has such benefits as learning independently at any time and place (Vrasidas & MsIsaac, 2000 ), granting facility (Poole, 2000 ), flexibility (Chizmar & Walbert, 1999 ), self-regulation skills (Usta, 2011b ), learning with collaboration, and opportunity to plan self-learning process.

Even though online education practices have not been comprehensive as it is now, internet and computers have been used in education as alternative learning tools in correlation with the advances in technology. The first distance education attempt in the world was initiated by the ‘Steno Courses’ announcement published in Boston newspaper in 1728. Furthermore, in the nineteenth century, Sweden University started the “Correspondence Composition Courses” for women, and University Correspondence College was afterwards founded for the correspondence courses in 1843 (Arat & Bakan, 2011 ). Recently, distance education has been performed through computers, assisted by the facilities of the internet technologies, and soon, it has evolved into a mobile education practice that is emanating from progress in the speed of internet connection, and the development of mobile devices.

With the emergence of pandemic (Covid-19), face to face education has almost been put to a halt, and online education has gained significant importance. The Microsoft management team declared to have 750 users involved in the online education activities on the 10 th March, just before the pandemic; however, on March 24, they informed that the number of users increased significantly, reaching the number of 138,698 users (OECD, 2020 ). This event supports the view that it is better to commonly use online education rather than using it as a traditional alternative educational tool when students do not have the opportunity to have a face to face education (Geostat, 2019 ). The period of Covid-19 pandemic has emerged as a sudden state of having limited opportunities. Face to face education has stopped in this period for a long time. The global spread of Covid-19 affected more than 850 million students all around the world, and it caused the suspension of face to face education. Different countries have proposed several solutions in order to maintain the education process during the pandemic. Schools have had to change their curriculum, and many countries supported the online education practices soon after the pandemic. In other words, traditional education gave its way to online education practices. At least 96 countries have been motivated to access online libraries, TV broadcasts, instructions, sources, video lectures, and online channels (UNESCO, 2020 ). In such a painful period, educational institutions went through online education practices by the help of huge companies such as Microsoft, Google, Zoom, Skype, FaceTime, and Slack. Thus, online education has been discussed in the education agenda more intensively than ever before.

Although online education approaches were not used as comprehensively as it has been used recently, it was utilized as an alternative learning approach in education for a long time in parallel with the development of technology, internet and computers. The academic achievement of the students is often aimed to be promoted by employing online education approaches. In this regard, academicians in various countries have conducted many studies on the evaluation of online education approaches and published the related results. However, the accumulation of scientific data on online education approaches creates difficulties in keeping, organizing and synthesizing the findings. In this research area, studies are being conducted at an increasing rate making it difficult for scientists to be aware of all the research outside of their ​​expertise. Another problem encountered in the related study area is that online education studies are repetitive. Studies often utilize slightly different methods, measures, and/or examples to avoid duplication. This erroneous approach makes it difficult to distinguish between significant differences in the related results. In other words, if there are significant differences in the results of the studies, it may be difficult to express what variety explains the differences in these results. One obvious solution to these problems is to systematically review the results of various studies and uncover the sources. One method of performing such systematic syntheses is the application of meta-analysis which is a methodological and statistical approach to draw conclusions from the literature. At this point, how effective online education applications are in increasing the academic success is an important detail. Has online education, which is likely to be encountered frequently in the continuing pandemic period, been successful in the last ten years? If successful, how much was the impact? Did different variables have an impact on this effect? Academics across the globe have carried out studies on the evaluation of online education platforms and publishing the related results (Chiao et al., 2018 ). It is quite important to evaluate the results of the studies that have been published up until now, and that will be published in the future. Has the online education been successful? If it has been, how big is the impact? Do the different variables affect this impact? What should we consider in the next coming online education practices? These questions have all motivated us to carry out this study. We have conducted a comprehensive meta-analysis study that tries to provide a discussion platform on how to develop efficient online programs for educators and policy makers by reviewing the related studies on online education, presenting the effect size, and revealing the effect of diverse variables on the general impact.

There have been many critical discussions and comprehensive studies on the differences between online and face to face learning; however, the focus of this paper is different in the sense that it clarifies the magnitude of the effect of online education and teaching process, and it represents what factors should be controlled to help increase the effect size. Indeed, the purpose here is to provide conscious decisions in the implementation of the online education process.

The general impact of online education on the academic achievement will be discovered in the study. Therefore, this will provide an opportunity to get a general overview of the online education which has been practiced and discussed intensively in the pandemic period. Moreover, the general impact of online education on academic achievement will be analyzed, considering different variables. In other words, the current study will allow to totally evaluate the study results from the related literature, and to analyze the results considering several cultures, lectures, and class levels. Considering all the related points, this study seeks to answer the following research questions:

• What is the effect size of online education on academic achievement?
• How do the effect sizes of online education on academic achievement change according to the moderator variable of the country?
• How do the effect sizes of online education on academic achievement change according to the moderator variable of the class level?
• How do the effect sizes of online education on academic achievement change according to the moderator variable of the lecture?
• How do the effect sizes of online education on academic achievement change according to the moderator variable of the online education approaches?

This study aims at determining the effect size of online education, which has been highly used since the beginning of the pandemic, on students’ academic achievement in different courses by using a meta-analysis method. Meta-analysis is a synthesis method that enables gathering of several study results accurately and efficiently, and getting the total results in the end (Tsagris & Fragkos, 2018 ).

Selecting and coding the data (studies)

The required literature for the meta-analysis study was reviewed in July, 2020, and the follow-up review was conducted in September, 2020. The purpose of the follow-up review was to include the studies which were published in the conduction period of this study, and which met the related inclusion criteria. However, no study was encountered to be included in the follow-up review.

In order to access the studies in the meta-analysis, the databases of Web of Science, ERIC, and SCOPUS were reviewed by utilizing the keywords ‘online learning and online education’. Not every database has a search engine that grants access to the studies by writing the keywords, and this obstacle was considered to be an important problem to be overcome. Therefore, a platform that has a special design was utilized by the researcher. With this purpose, through the open access system of Cukurova University Library, detailed reviews were practiced using EBSCO Information Services (EBSCO) that allow reviewing the whole collection of research through a sole searching box. Since the fundamental variables of this study are online education and online learning, the literature was systematically reviewed in the related databases (Web of Science, ERIC, and SCOPUS) by referring to the keywords. Within this scope, 225 articles were accessed, and the studies were included in the coding key list formed by the researcher. The name of the researchers, the year, the database (Web of Science, ERIC, and SCOPUS), the sample group and size, the lectures that the academic achievement was tested in, the country that the study was conducted in, and the class levels were all included in this coding key.

The following criteria were identified to include 225 research studies which were coded based on the theoretical basis of the meta-analysis study: (1) The studies should be published in the refereed journals between the years 2020 and 2021, (2) The studies should be experimental studies that try to determine the effect of online education and online learning on academic achievement, (3) The values of the stated variables or the required statistics to calculate these values should be stated in the results of the studies, and (4) The sample group of the study should be at a primary education level. These criteria were also used as the exclusion criteria in the sense that the studies that do not meet the required criteria were not included in the present study.

After the inclusion criteria were determined, a systematic review process was conducted, following the year criterion of the study by means of EBSCO. Within this scope, 290,365 studies that analyze the effect of online education and online learning on academic achievement were accordingly accessed. The database (Web of Science, ERIC, and SCOPUS) was also used as a filter by analyzing the inclusion criteria. Hence, the number of the studies that were analyzed was 58,616. Afterwards, the keyword ‘primary education’ was used as the filter and the number of studies included in the study decreased to 3152. Lastly, the literature was reviewed by using the keyword ‘academic achievement’ and 225 studies were accessed. All the information of 225 articles was included in the coding key.

It is necessary for the coders to review the related studies accurately and control the validity, safety, and accuracy of the studies (Stewart & Kamins, 2001 ). Within this scope, the studies that were determined based on the variables used in this study were first reviewed by three researchers from primary education field, then the accessed studies were combined and processed in the coding key by the researcher. All these studies that were processed in the coding key were analyzed in accordance with the inclusion criteria by all the researchers in the meetings, and it was decided that 27 studies met the inclusion criteria (Atici & Polat, 2010 ; Carreon, 2018 ; Ceylan & Elitok Kesici, 2017 ; Chae & Shin, 2016 ; Chiang et al. 2014 ; Ercan, 2014 ; Ercan et al., 2016 ; Gwo-Jen et al., 2018 ; Hayes & Stewart, 2016 ; Hwang et al., 2012 ; Kert et al., 2017 ; Lai & Chen, 2010 ; Lai et al., 2015 ; Meyers et al., 2015 ; Ravenel et al., 2014 ; Sung et al., 2016 ; Wang & Chen, 2013 ; Yu, 2019 ; Yu & Chen, 2014 ; Yu & Pan, 2014 ; Yu et al., 2010 ; Zhong et al., 2017 ). The data from the studies meeting the inclusion criteria were independently processed in the second coding key by three researchers, and consensus meetings were arranged for further discussion. After the meetings, researchers came to an agreement that the data were coded accurately and precisely. Having identified the effect sizes and heterogeneity of the study, moderator variables that will show the differences between the effect sizes were determined. The data related to the determined moderator variables were added to the coding key by three researchers, and a new consensus meeting was arranged. After the meeting, researchers came to an agreement that moderator variables were coded accurately and precisely.

Study group

27 studies are included in the meta-analysis. The total sample size of the studies that are included in the analysis is 1772. The characteristics of the studies included are given in Table ​ Table1 1 .

The characteristics of the studies included in the meta-analysis

Publication bias

Publication bias is the low capability of published studies on a research subject to represent all completed studies on the same subject (Card, 2011 ; Littell et al., 2008 ). Similarly, publication bias is the state of having a relationship between the probability of the publication of a study on a subject, and the effect size and significance that it produces. Within this scope, publication bias may occur when the researchers do not want to publish the study as a result of failing to obtain the expected results, or not being approved by the scientific journals, and consequently not being included in the study synthesis (Makowski et al., 2019 ). The high possibility of publication bias in a meta-analysis study negatively affects (Pecoraro, 2018 ) the accuracy of the combined effect size, causing the average effect size to be reported differently than it should be (Borenstein et al., 2009 ). For this reason, the possibility of publication bias in the included studies was tested before determining the effect sizes of the relationships between the stated variables. The possibility of publication bias of this meta-analysis study was analyzed by using the funnel plot, Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test.

Selecting the model

After determining the probability of publication bias of this meta-analysis study, the statistical model used to calculate the effect sizes was selected. The main approaches used in the effect size calculations according to the differentiation level of inter-study variance are fixed and random effects models (Pigott, 2012 ). Fixed effects model refers to the homogeneity of the characteristics of combined studies apart from the sample sizes, while random effects model refers to the parameter diversity between the studies (Cumming, 2012 ). While calculating the average effect size in the random effects model (Deeks et al., 2008 ) that is based on the assumption that effect predictions of different studies are only the result of a similar distribution, it is necessary to consider several situations such as the effect size apart from the sample error of combined studies, characteristics of the participants, duration, scope, and pattern of the study (Littell et al., 2008 ). While deciding the model in the meta-analysis study, the assumptions on the sample characteristics of the studies included in the analysis and the inferences that the researcher aims to make should be taken into consideration. The fact that the sample characteristics of the studies conducted in the field of social sciences are affected by various parameters shows that using random effects model is more appropriate in this sense. Besides, it is stated that the inferences made with the random effects model are beyond the studies included in the meta-analysis (Field, 2003 ; Field & Gillett, 2010 ). Therefore, using random effects model also contributes to the generalization of research data. The specified criteria for the statistical model selection show that according to the nature of the meta-analysis study, the model should be selected just before the analysis (Borenstein et al., 2007 ; Littell et al., 2008 ). Within this framework, it was decided to make use of the random effects model, considering that the students who are the samples of the studies included in the meta-analysis are from different countries and cultures, the sample characteristics of the studies differ, and the patterns and scopes of the studies vary as well.

Heterogeneity

Meta-analysis facilitates analyzing the research subject with different parameters by showing the level of diversity between the included studies. Within this frame, whether there is a heterogeneous distribution between the studies included in the study or not has been evaluated in the present study. The heterogeneity of the studies combined in this meta-analysis study has been determined through Q and I 2 tests. Q test evaluates the random distribution probability of the differences between the observed results (Deeks et al., 2008 ). Q value exceeding 2 value calculated according to the degree of freedom and significance, indicates the heterogeneity of the combined effect sizes (Card, 2011 ). I 2 test, which is the complementary of the Q test, shows the heterogeneity amount of the effect sizes (Cleophas & Zwinderman, 2017 ). I 2 value being higher than 75% is explained as high level of heterogeneity.

In case of encountering heterogeneity in the studies included in the meta-analysis, the reasons of heterogeneity can be analyzed by referring to the study characteristics. The study characteristics which may be related to the heterogeneity between the included studies can be interpreted through subgroup analysis or meta-regression analysis (Deeks et al., 2008 ). While determining the moderator variables, the sufficiency of the number of variables, the relationship between the moderators, and the condition to explain the differences between the results of the studies have all been considered in the present study. Within this scope, it was predicted in this meta-analysis study that the heterogeneity can be explained with the country, class level, and lecture moderator variables of the study in terms of the effect of online education, which has been highly used since the beginning of the pandemic, and it has an impact on the students’ academic achievement in different lectures. Some subgroups were evaluated and categorized together, considering that the number of effect sizes of the sub-dimensions of the specified variables is not sufficient to perform moderator analysis (e.g. the countries where the studies were conducted).

Interpreting the effect sizes

Effect size is a factor that shows how much the independent variable affects the dependent variable positively or negatively in each included study in the meta-analysis (Dinçer, 2014 ). While interpreting the effect sizes obtained from the meta-analysis, the classifications of Cohen et al. ( 2007 ) have been utilized. The case of differentiating the specified relationships of the situation of the country, class level, and school subject variables of the study has been identified through the Q test, degree of freedom, and p significance value Fig.  1 and ​ and2 2 .

The flow chart of the scanning and selection process of the studies

Funnel plot graphics representing the effect size of the effects of online education on academic success

Findings and results

The purpose of this study is to determine the effect size of online education on academic achievement. Before determining the effect sizes in the study, the probability of publication bias of this meta-analysis study was analyzed by using the funnel plot, Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test.

When the funnel plots are examined, it is seen that the studies included in the analysis are distributed symmetrically on both sides of the combined effect size axis, and they are generally collected in the middle and lower sections. The probability of publication bias is low according to the plots. However, since the results of the funnel scatter plots may cause subjective interpretations, they have been supported by additional analyses (Littell et al., 2008 ). Therefore, in order to provide an extra proof for the probability of publication bias, it has been analyzed through Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test (Table ​ (Table2 2 ).

Reliability tests results representing the probability of publication bias

* Represents the required number of papers for Hedges g co-efficiency to reach a rate out of 0.01 range

Table ​ Table2 2 consists of the results of the rates of publication bias probability before counting the effect size of online education on academic achievement. According to the table, Orwin Safe N analysis results show that it is not necessary to add new studies to the meta-analysis in order for Hedges g to reach a value outside the range of ± 0.01. The Duval and Tweedie test shows that excluding the studies that negatively affect the symmetry of the funnel scatter plots for each meta-analysis or adding their exact symmetrical equivalents does not significantly differentiate the calculated effect size. The insignificance of the Egger tests results reveals that there is no publication bias in the meta-analysis study. The results of the analysis indicate the high internal validity of the effect sizes and the adequacy of representing the studies conducted on the relevant subject.

In this study, it was aimed to determine the effect size of online education on academic achievement after testing the publication bias. In line with the first purpose of the study, the forest graph regarding the effect size of online education on academic achievement is shown in Fig.  3 , and the statistics regarding the effect size are given in Table ​ Table3 3 .

Forest graph related to the effect size of online education on academic success

The findings related to the effect size of online education on academic success

n: the Number of Studies included in Meta-Analysis; Hedges g: average effect size

p: significance level of the effect size; S error : standard error; EB low – EB up : lower and upper limits of the effect size

The square symbols in the forest graph in Fig.  3 represent the effect sizes, while the horizontal lines show the intervals in 95% confidence of the effect sizes, and the diamond symbol shows the overall effect size. When the forest graph is analyzed, it is seen that the lower and upper limits of the combined effect sizes are generally close to each other, and the study loads are similar. This similarity in terms of study loads indicates the similarity of the contribution of the combined studies to the overall effect size.

Figure  3 clearly represents that the study of Liu and others (Liu et al., 2018 ) has the lowest, and the study of Ercan and Bilen ( 2014 ) has the highest effect sizes. The forest graph shows that all the combined studies and the overall effect are positive. Furthermore, it is simply understood from the forest graph in Fig.  3 and the effect size statistics in Table ​ Table3 3 that the results of the meta-analysis study conducted with 27 studies and analyzing the effect of online education on academic achievement illustrate that this relationship is on average level (= 0.409).

After the analysis of the effect size in the study, whether the studies included in the analysis are distributed heterogeneously or not has also been analyzed. The heterogeneity of the combined studies was determined through the Q and I 2 tests. As a result of the heterogeneity test, Q statistical value was calculated as 29.576. With 26 degrees of freedom at 95% significance level in the chi-square table, the critical value is accepted as 38.885. The Q statistical value (29.576) counted in this study is lower than the critical value of 38.885. The I 2 value, which is the complementary of the Q statistics, is 12.100%. This value indicates that the accurate heterogeneity or the total variability that can be attributed to variability between the studies is 12%. Besides, p value is higher than (0.285) p = 0.05. All these values [Q (26) = 29.579, p = 0.285; I2 = 12.100] indicate that there is a homogeneous distribution between the effect sizes, and fixed effects model should be used to interpret these effect sizes. However, some researchers argue that even if the heterogeneity is low, it should be evaluated based on the random effects model (Borenstein et al., 2007 ). Therefore, this study gives information about both models. The heterogeneity of the combined studies has been attempted to be explained with the characteristics of the studies included in the analysis. In this context, the final purpose of the study is to determine the effect of the country, academic level, and year variables on the findings. Accordingly, the statistics regarding the comparison of the stated relations according to the countries where the studies were conducted are given in Table ​ Table4 4 .

The dispersion of the studies according to the countries and the heterogeneity test results

As seen in Table ​ Table4, 4 , the effect of online education on academic achievement does not differ significantly according to the countries where the studies were conducted in. Q test results indicate the heterogeneity of the relationships between the variables in terms of countries where the studies were conducted in. According to the table, the effect of online education on academic achievement was reported as the highest in other countries, and the lowest in the US. The statistics regarding the comparison of the stated relations according to the class levels are given in Table ​ Table5 5 .

The dispersion of the studies according to the class level and the heterogeneity test results

As seen in Table ​ Table5, 5 , the effect of online education on academic achievement does not differ according to the class level. However, the effect of online education on academic achievement is the highest in the 4 th class. The statistics regarding the comparison of the stated relations according to the class levels are given in Table ​ Table6 6 .

The dispersion of the studies according to the school subjects and the heterogeneity test results

As seen in Table ​ Table6, 6 , the effect of online education on academic achievement does not differ according to the school subjects included in the studies. However, the effect of online education on academic achievement is the highest in ICT subject.

The obtained effect size in the study was formed as a result of the findings attained from primary studies conducted in 7 different countries. In addition, these studies are the ones on different approaches to online education (online learning environments, social networks, blended learning, etc.). In this respect, the results may raise some questions about the validity and generalizability of the results of the study. However, the moderator analyzes, whether for the country variable or for the approaches covered by online education, did not create significant differences in terms of the effect sizes. If significant differences were to occur in terms of effect sizes, we could say that the comparisons we will make by comparing countries under the umbrella of online education would raise doubts in terms of generalizability. Moreover, no study has been found in the literature that is not based on a special approach or does not contain a specific technique conducted under the name of online education alone. For instance, one of the commonly used definitions is blended education which is defined as an educational model in which online education is combined with traditional education method (Colis & Moonen, 2001 ). Similarly, Rasmussen ( 2003 ) defines blended learning as “a distance education method that combines technology (high technology such as television, internet, or low technology such as voice e-mail, conferences) with traditional education and training.” Further, Kerres and Witt (2003) define blended learning as “combining face-to-face learning with technology-assisted learning.” As it is clearly observed, online education, which has a wider scope, includes many approaches.

As seen in Table ​ Table7, 7 , the effect of online education on academic achievement does not differ according to online education approaches included in the studies. However, the effect of online education on academic achievement is the highest in Web Based Problem Solving Approach.

The dispersion of the studies according to the online education approaches and the heterogeneity test results

Conclusions and discussion

Considering the developments during the pandemics, it is thought that the diversity in online education applications as an interdisciplinary pragmatist field will increase, and the learning content and processes will be enriched with the integration of new technologies into online education processes. Another prediction is that more flexible and accessible learning opportunities will be created in online education processes, and in this way, lifelong learning processes will be strengthened. As a result, it is predicted that in the near future, online education and even digital learning with a newer name will turn into the main ground of education instead of being an alternative or having a support function in face-to-face learning. The lessons learned from the early period online learning experience, which was passed with rapid adaptation due to the Covid19 epidemic, will serve to develop this method all over the world, and in the near future, online learning will become the main learning structure through increasing its functionality with the contribution of new technologies and systems. If we look at it from this point of view, there is a necessity to strengthen online education.

In this study, the effect of online learning on academic achievement is at a moderate level. To increase this effect, the implementation of online learning requires support from teachers to prepare learning materials, to design learning appropriately, and to utilize various digital-based media such as websites, software technology and various other tools to support the effectiveness of online learning (Rolisca & Achadiyah, 2014 ). According to research conducted by Rahayu et al. ( 2017 ), it has been proven that the use of various types of software increases the effectiveness and quality of online learning. Implementation of online learning can affect students' ability to adapt to technological developments in that it makes students use various learning resources on the internet to access various types of information, and enables them to get used to performing inquiry learning and active learning (Hart et al., 2019 ; Prestiadi et al., 2019 ). In addition, there may be many reasons for the low level of effect in this study. The moderator variables examined in this study could be a guide in increasing the level of practical effect. However, the effect size did not differ significantly for all moderator variables. Different moderator analyzes can be evaluated in order to increase the level of impact of online education on academic success. If confounding variables that significantly change the effect level are detected, it can be spoken more precisely in order to increase this level. In addition to the technical and financial problems, the level of impact will increase if a few other difficulties are eliminated such as students, lack of interaction with the instructor, response time, and lack of traditional classroom socialization.

In addition, COVID-19 pandemic related social distancing has posed extreme difficulties for all stakeholders to get online as they have to work in time constraints and resource constraints. Adopting the online learning environment is not just a technical issue, it is a pedagogical and instructive challenge as well. Therefore, extensive preparation of teaching materials, curriculum, and assessment is vital in online education. Technology is the delivery tool and requires close cross-collaboration between teaching, content and technology teams (CoSN, 2020 ).

Online education applications have been used for many years. However, it has come to the fore more during the pandemic process. This result of necessity has brought with it the discussion of using online education instead of traditional education methods in the future. However, with this research, it has been revealed that online education applications are moderately effective. The use of online education instead of face-to-face education applications can only be possible with an increase in the level of success. This may have been possible with the experience and knowledge gained during the pandemic process. Therefore, the meta-analysis of experimental studies conducted in the coming years will guide us. In this context, experimental studies using online education applications should be analyzed well. It would be useful to identify variables that can change the level of impacts with different moderators. Moderator analyzes are valuable in meta-analysis studies (for example, the role of moderators in Karl Pearson's typhoid vaccine studies). In this context, each analysis study sheds light on future studies. In meta-analyses to be made about online education, it would be beneficial to go beyond the moderators determined in this study. Thus, the contribution of similar studies to the field will increase more.

The purpose of this study is to determine the effect of online education on academic achievement. In line with this purpose, the studies that analyze the effect of online education approaches on academic achievement have been included in the meta-analysis. The total sample size of the studies included in the meta-analysis is 1772. While the studies included in the meta-analysis were conducted in the US, Taiwan, Turkey, China, Philippines, Ireland, and Georgia, the studies carried out in Europe could not be reached. The reason may be attributed to that there may be more use of quantitative research methods from a positivist perspective in the countries with an American academic tradition. As a result of the study, it was found out that the effect size of online education on academic achievement (g = 0.409) was moderate. In the studies included in the present research, we found that online education approaches were more effective than traditional ones. However, contrary to the present study, the analysis of comparisons between online and traditional education in some studies shows that face-to-face traditional learning is still considered effective compared to online learning (Ahmad et al., 2016 ; Hamdani & Priatna, 2020 ; Wei & Chou, 2020 ). Online education has advantages and disadvantages. The advantages of online learning compared to face-to-face learning in the classroom is the flexibility of learning time in online learning, the learning time does not include a single program, and it can be shaped according to circumstances (Lai et al., 2019 ). The next advantage is the ease of collecting assignments for students, as these can be done without having to talk to the teacher. Despite this, online education has several weaknesses, such as students having difficulty in understanding the material, teachers' inability to control students, and students’ still having difficulty interacting with teachers in case of internet network cuts (Swan, 2007 ). According to Astuti et al ( 2019 ), face-to-face education method is still considered better by students than e-learning because it is easier to understand the material and easier to interact with teachers. The results of the study illustrated that the effect size (g = 0.409) of online education on academic achievement is of medium level. Therefore, the results of the moderator analysis showed that the effect of online education on academic achievement does not differ in terms of country, lecture, class level, and online education approaches variables. After analyzing the literature, several meta-analyses on online education were published (Bernard et al., 2004 ; Machtmes & Asher, 2000 ; Zhao et al., 2005 ). Typically, these meta-analyzes also include the studies of older generation technologies such as audio, video, or satellite transmission. One of the most comprehensive studies on online education was conducted by Bernard et al. ( 2004 ). In this study, 699 independent effect sizes of 232 studies published from 1985 to 2001 were analyzed, and face-to-face education was compared to online education, with respect to success criteria and attitudes of various learners from young children to adults. In this meta-analysis, an overall effect size close to zero was found for the students' achievement (g +  = 0.01).

In another meta-analysis study carried out by Zhao et al. ( 2005 ), 98 effect sizes were examined, including 51 studies on online education conducted between 1996 and 2002. According to the study of Bernard et al. ( 2004 ), this meta-analysis focuses on the activities done in online education lectures. As a result of the research, an overall effect size close to zero was found for online education utilizing more than one generation technology for students at different levels. However, the salient point of the meta-analysis study of Zhao et al. is that it takes the average of different types of results used in a study to calculate an overall effect size. This practice is problematic because the factors that develop one type of learner outcome (e.g. learner rehabilitation), particularly course characteristics and practices, may be quite different from those that develop another type of outcome (e.g. learner's achievement), and it may even cause damage to the latter outcome. While mixing the studies with different types of results, this implementation may obscure the relationship between practices and learning.

Some meta-analytical studies have focused on the effectiveness of the new generation distance learning courses accessed through the internet for specific student populations. For instance, Sitzmann and others (Sitzmann et al., 2006 ) reviewed 96 studies published from 1996 to 2005, comparing web-based education of job-related knowledge or skills with face-to-face one. The researchers found that web-based education in general was slightly more effective than face-to-face education, but it is insufficient in terms of applicability ("knowing how to apply"). In addition, Sitzmann et al. ( 2006 ) revealed that Internet-based education has a positive effect on theoretical knowledge in quasi-experimental studies; however, it positively affects face-to-face education in experimental studies performed by random assignment. This moderator analysis emphasizes the need to pay attention to the factors of designs of the studies included in the meta-analysis. The designs of the studies included in this meta-analysis study were ignored. This can be presented as a suggestion to the new studies that will be conducted.

Another meta-analysis study was conducted by Cavanaugh et al. ( 2004 ), in which they focused on online education. In this study on internet-based distance education programs for students under 12 years of age, the researchers combined 116 results from 14 studies published between 1999 and 2004 to calculate an overall effect that was not statistically different from zero. The moderator analysis carried out in this study showed that there was no significant factor affecting the students' success. This meta-analysis used multiple results of the same study, ignoring the fact that different results of the same student would not be independent from each other.

In conclusion, some meta-analytical studies analyzed the consequences of online education for a wide range of students (Bernard et al., 2004 ; Zhao et al., 2005 ), and the effect sizes were generally low in these studies. Furthermore, none of the large-scale meta-analyzes considered the moderators, database quality standards or class levels in the selection of the studies, while some of them just referred to the country and lecture moderators. Advances in internet-based learning tools, the pandemic process, and increasing popularity in different learning contexts have required a precise meta-analysis of students' learning outcomes through online learning. Previous meta-analysis studies were typically based on the studies, involving narrow range of confounding variables. In the present study, common but significant moderators such as class level and lectures during the pandemic process were discussed. For instance, the problems have been experienced especially in terms of eligibility of class levels in online education platforms during the pandemic process. It was found that there is a need to study and make suggestions on whether online education can meet the needs of teachers and students.

Besides, the main forms of online education in the past were to watch the open lectures of famous universities and educational videos of institutions. In addition, online education is mainly a classroom-based teaching implemented by teachers in their own schools during the pandemic period, which is an extension of the original school education. This meta-analysis study will stand as a source to compare the effect size of the online education forms of the past decade with what is done today, and what will be done in the future.

Lastly, the heterogeneity test results of the meta-analysis study display that the effect size does not differ in terms of class level, country, online education approaches, and lecture moderators.

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| 30 June 2020

Benefits of Online Learning – 16 Advantages to Learning Online

In fact, the pandemic has demonstrated what a practical, sustainable model online learning is. It keeps education accessible during a public health crisis, natural disaster, or other circumstance where students and faculty can’t travel. It can serve students across a wider geographic range, bringing in voices from across the country—and beyond. The online learning environment also promotes a better work-life balance. In this post, we outline the advantages of online learning and how you can leverage them to foster your personal and professional development.

Advantages of Online Learning

The format of online courses can help you thrive both personally and academically, helping you meet your goals.

1. You don’t need to relocate

With online classes, you don’t need to move to a different city or commute long distances in order to attend the program of your choice. You can stay where you are and keep your current job while you work toward enhancing your career with an online college or graduate degree (However, some programs require fieldwork experience, which may necessitate relocation.) 

On the other hand, if you want to become a digital nomad—someone who embraces a location-independent, technology-enabled lifestyle—online education may allow you to do that too. You can watch lectures and complete your coursework wherever you are—whether that’s at home, in a café, or on an exotic beach.

2. It’s easier to achieve optimal school-life balance

Whether you’re a full-time or part-time online student, the online learning experience allows for a much more flexible schedule. Some elements may be synchronous: You may need to attend live lectures, demonstrations, or discussion sessions. But many elements will be asynchronous, meaning that you can complete them at your own pace, learning at the time of day and in the place that works best for you.

When you’re more in control of your schedule, time management goes more smoothly. It’s easier to maintain an active social and family life while earning your college degree or graduate degree. It is possible to have it all: education, professional development, and a vibrant personal life.

3. It helps you develop and stick to healthy habits

Another benefit of online learning and a better school-life balance is that you can develop greater discipline about healthy habits. Not everyone enjoys squeezing in a workout or yoga session at the crack of dawn or right before bed. So if you’re learning from home, you can take a midday jog or online Pilates class. You can even take a power nap, which research has shown can benefit memory and learning .

Studying from home can also give you more time to focus on self-care. Whether through self-reflection , meditation, or yoga, practicing self-care can help boost your confidence and emotional intelligence.

4. You have more time to do the things you love

If you’re taking in-person classes but don’t live near campus, commuting can take up a significant amount of your time. According to the U.S. Census Bureau , the average daily commute time is 54.2 minutes. If you’re like most people, you’d probably rather avoid traffic or crowded public transportation. And saving that 54 minutes per day (or more) will free up time you can spend working, exercising, having fun, or connecting with loved ones. In fact, spending time away from work has been shown to ultimately boost productivity and creativity .  

5. Online learning makes it possible to keep your job

Many graduate students can’t afford to take time off from work. Or they want to keep working on career advancement while staying in their current position, improving their credentials and applying their learning on the job. So if you want to continue working at your current job while earning your degree, online education is a great way to go. You don’t have to choose between school and work—you can do both.

6. You can create your own office

It’s an advantage to be able to create your own workspace. You can set up your desk at just the right height and find a supportive office chair—or you can work from your couch. Not only can your setup be more physically comfortable, but studies show that 42% of workers believe they’re more productive working at home.

7. It’s easier to concentrate and participate

Since different people are productive at different times of day, online learning allows you to work at the time when your brain is most engaged. Also, some people have trouble concentrating and participating in crowded classrooms. Online learning can make it easier for students to focus and for more introverted students to chime in with questions or ideas, which can help boost their confidence and positivity . 

Skills and Positive Traits Gained from Online Learning

8. Boost your time management skills

Staying organized is key to being a successful student. Find a method that works well for you, such as exploring these time management techniques , using planners , or trying out new virtual tools for productivity .

9. Learn new technical skills

Immersing yourself in the technology that powers online learning will enhance your technical literacy.

10. Enhance your communication skills 

Online learning creates opportunities to interact, participate, and communicate with your peers and instructors in different ways.

11. Develop self-motivation and self-discipline

In order to stick to a schedule and keep up with your coursework, you must learn self-motivation and self-discipline—qualities that will serve you well in your personal and professional life.

Additional Benefits of Online Learning

12. reduce your carbon footprint .

Not only do you save money on gas, which averages out to $1,300 per person annually in the United States—you can save paper by lessening your reliance on printed materials, ultimately reducing your carbon footprint. 

13. Reduce stress

Learning at your own pace, participating in ways that feel more comfortable, and not having an arduous commute can help you limit stress.

14. Cook at home more instead of eating out

Spending more time at home makes cooking easier, which is ideal for healthy eating and saving money.

15. Expand your horizons

Connecting with classmates from all around the world can help you share different cultural perspectives on your field, which makes you a more broad-minded practitioner. 

16. Network with your peers

Meeting classmates online can give you opportunities to network across a wider geographic region, which can help you advance your career. You might even find a mentor who can help support and guide you to apply your learning on the job.

Forbes Business Council. “3 Benefits of Remote Learning for Every Generation.” Forbes, 14 Oct. 2022, https://www.forbes.com/sites/forbesbusinesscouncil/2022/10/14/3-benefits-of-remote-learning-for-every-generation/?sh=3d7184e0528e . Accessed: March 20, 2024.

Cavanaugh, Joseph K. and Stephen J. Jacquemin. “A Large Sample Comparison of Grade Based Student Learning Outcomes in Online vs. Face-to-Face Courses.” Online Learning 19, no. 2 (February 2015). http://dx.doi.org/10.24059/olj.v19i2.454. Accessed: January 26, 2022

Shaw, Gabby. “Here’s How Much the Average Person Spends on Gas in Every State.” Business Insider. February 15, 2019. https://www.businessinsider.com/how-much-the-average-person-spends-on-gas-in-every-state-2019-2. Accessed: January 26, 2022

ManpowerGroup. “Closing the Skills Gap: Know What Workers Want.” 2019. https://workforce-resources.manpowergroup.com/closing-the-skills-gap-know-what-workers-want/closing-the-skills-gap-know-what-workers-want. Accessed: January 26, 2022

Levitz, Ruffalo Noel. “2018 National Student Satisfaction and Priorities Report.” 2018. http://learn.ruffalonl.com/rs/395-EOG-977/images/2018_National_Student_Satisfaction_Report_EM-031.pdf. Accessed: January 26, 2022

Roy, Robin, Stephen Potter, Karen Yarrow, and Mark Smith. “Towards Sustainable Higher Education: Environmental impacts of campus-based and distance higher education systems.” Design Innovation Group. March 2005. http://www3.open.ac.uk/events/3/2005331_47403_o1.pdf. Accessed: January 26, 2022

West, Robin L., Natalie C. Ebner, and Erin C. Hastings. “Linking Goals and Aging.” In New Developments in Goal Setting and Task Performance, edited by Edwin A. Locke and Gary P. Latham, 439–459. Routledge Taylor and Francis Group, 2013. https://www.researchgate.net/profile/Natalie-Ebner/publication/287491758_Linking_goals_and_aging_Experimental_and_life-span_approaches/links/56773c0008ae502c99d2f10a/Linking-goals-and-aging-Experimental-and-life-span-approaches.pdf. Accessed: January 26, 2022

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Lessons About Online Learning

By  Yoram Neumann and Edith Neumann

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In its infancy, online learning was viewed as a more accessible alternative for students unable to commit to the traditional higher education path. But in recent years online education has been gaining more acceptance. The most recent U.S. Department of Education data from fall 2014 indicate that 5.8 million students took at least one online course, with 2.85 million of them studying exclusively online. After thousands of online launches and millions of students, it is important to assess the advancement made in online learning as we look to further enhance online learning for future students.

Thirty years ago, we committed ourselves to a long-term program of research into higher education and how to improve it. Together, we have conducted several studies on student learning at colleges and universities.

Several factors emerged as determinants of students’ academic performance and related outcomes, such as retention, graduation, satisfaction and commitment toward their college or university. The four major predictors of student learning outcomes were:

• student engagement and involvement in a variety of activities aimed at different cognitive domains of learning;
• student-faculty contact, including faculty members’ helpfulness and accessibility -- as manifested through the immediacy of feedback and a concern for students and their problems;
• factors related to degree programs, including the integration and relevance of the various required and elective courses, as well as the quality of teaching focused on student learning and of academic advising; and
• learning opportunities beyond traditional courses, including opportunities to engage in self-directed learning and address critical issues in the course.

In addition to our interest in advancing policy-based knowledge in higher education, we have held leadership positions at several colleges and universities and have been involved in pioneering distance and online learning programs. In 1996, we developed a vision for a new online university in which all functions (academic, support, services and administrative) were directly linked to the development of a comprehensive online learning environment. We named it the Robust Learning Model , and all components of the model were designed to:

• enable systematic applications to all degree programs;
• be relevant for many groups of learners -- including adult and mobile learners;
• have a mechanism for accountability, transparency and quality assurance;
• use resources efficiently aimed at affordable tuition;
• develop a budget and resource-allocation plan based on projected enrollment growth and predefined quality improvements; and
• demonstrate a verifiable attainment of learning outcomes for students for each degree program.

The pedagogy included a completely interactive threaded discussion that allowed students to interact and engage with faculty members as well as each other. For each course, we introduced problem-based learning through case studies and project-based learning through a signature assignment. Self-reflection was included as part of the course as well as through a required essay at the end of the course. And when it came to assessment, the RLM was, to our knowledge, the first attempt to align institutional learning outcomes, program learning outcomes and course learning outcomes.

In 1998, we founded Touro University International, an independent branch campus of Touro College New York, using the RLM approach to online learning. It became a separately accredited institution and an academic and financial success. (Sold in 2007, it was later renamed Trident University International.)

Then, in 2012, we rejoined Touro in a new role of turnaround management for a division that it opened in 2008 named Touro University Worldwide. In the past four years, we have implemented a more advanced version of the RLM, based on our past experience with it and cloud and mobile technology, as well as on new developments in our conceptual map for an online university.

Throughout our two decades of experience, we have continued to improve the comprehensive learner-focused model using continuous assessment, experimentation and tests of new ideas and innovations. What have we learned about the factors in the online learning environment that directly or indirectly affect students’ learning performance?

Lessons Learned

• The major factor that consistently predicts successful performance outcomes is the student’s skill at learning to learn. By this we mean the student’s ability to persist in learning through an awareness of his or her learning needs, to effectively search for information and raise questions, to manage time to focus on learning, and to acquire or use support mechanisms to overcome challenges. Students with a high learning-to-learn ability will successfully prepare in advance how to progress and benefit from their learning experiences as well as persevere in finding the path to learning, despite adverse circumstances. We have continuously improved the learning model and the online learning environment by focusing  pedagogy, faculty-student interactions, student-to-student interactions, self-reflection and the variety of learning strategies and activities to support students in their improvement of this ability.
• Engagement in a variety of learning activities and assignments -- problem identification, problem solving, analytical tools, projects, reflective inquiry, discussions, critical thinking -- enhances learning outcomes when a component of self-assessment is added to each of those activities.
• Engagement in a variety of learning activities and assignments improves learning outcomes when the feedback received from the professor and/or other learners is immediate (less than 24 hours), constructive, substantial and (in case of professor feedback) guides students in how to strengthen their learning efficacy.
• The professor’s direct involvement in all facets of course development and management -- including design, instruction, meaningful and frequent interactions with the learners and assessment -- enhances student learning outcomes across all degree levels and programs. When the learning experience is divided (unbundled) among several segments, student learning outcomes are considerably lower. We have tried unbundling the learning process and have experimented with course developers and designers, teaching assistants, mentors, success coaches and a learning team, and we have always received inferior results compared to when a faculty member is fully involved in all facets of the course.
• Periodic course assessment and improvement based on self-reflection and peers’ and previous students’ comments can boost student learning outcomes. The key is to explicitly examine, for all courses across the institution, what worked well and what did not work previously for the same course.
• An eight-week session maximizes learning outcomes for adult learners (24 or older), compared to a four- or 12-week session. A 12-week session maximized learning outcomes for traditionally college-age students (23 or younger), compared to a four- or eight-week session.
• With all other learning activities and assignments remaining the same, courses without a problem-based learning component have resulted in lower learning outcomes compared with courses that include it.
• Similarly, courses without a project-based component, a threaded discussion or a self-reflective component result in lower learning outcomes compared with courses that include them.
• Students who receive either professors’ or peers’ constructive feedback at least twice a week substantially outperform those who do not.
• Students who perform mid-session self-assessment with the professor’s constructive feedback on that self-assessment outperform students who do not.
• Students who submit their learning assignment ahead of the deadline outperform students who wait until the last minute.
• Students who participate in precourse learning orientation activities (related to time planning, learning tips and a variety of supporting techniques) outperform students who do not.
• Students with high levels of student-faculty or student-to-student interactions in threaded discussions outperform students with lower levels of interactive learning.
• Students who received weekly tips directly from their professors encouraging them to take control of their learning activities outperform students who do not receive such tips. This finding led us to implement this practice as part of the threaded discussion.
• Students who can relate the signature assignment as well as the capstone to their work environment outperform students who cannot.
• Adding academic quality assurance -- staffed by an experienced senior faculty member who works collaboratively with all professors to study the lessons learned and implement the derived improvements into the online learning environment -- enhances student learning outcomes.
• When comparing online students using our model with students taking the same course with the same professor under the traditional classroom model, online students outperform their face-to-face counterparts.
• All the aforementioned factors that enhance learning outcomes also increase student retention rates as well as graduation rates, while reducing the time to degree across all degree levels and degree programs.

Of the various lessons that we have discussed in this piece, some are related to policy issues currently on the agenda of higher education and its future directions, such as MOOCs, competency-based education, the unbundling of the learning process and the like. Our lessons are based on the distinct learning model and web-based learning environment that we envisioned, developed and implemented -- and are important additions to the public discourse. That said, they are not intended to be the ultimate conclusion applied to all online learning environments, nor are they intended to end discussion of these important issues. As educators, it is our responsibility to continue to examine and improve how our students learn through online education.

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The Real Value of Online Education

Why low completion rates may not matter

Out of all the students who enroll in a MOOC, only about 5 percent complete the course and receive a certificate of accomplishment. This statistic is often cited as evidence that MOOCs are fatally flawed and offer little educational value to most students. Yet more than 80 percent of students who fill out a post-course survey say they met their primary objective. How do we reconcile these two facts?

We’re used to focusing on completion rates in higher education, but they’re not the only—or even the most meaningful—indicator of engagement in open online courses. With no cost to enroll, no penalty for dropping out, and little reward for actually earning a certificate, MOOCs are fundamentally different from traditional classes— and students use them in fundamentally different ways.

Data from more than 1.8 million students enrolled in 36 MOOCs offered by the University of Pennsylvania show that students treat MOOCs like a buffet, sampling the material according to their interests and goals. Some are curious about the subject matter and just watch one or two video lectures; others use the discussion forums to connect with their intellectual peers around the world. Of all enrolled students, nearly 60 percent watch at least one video, complete at least one assignment, or post at least once in a forum.

The data show a pattern we call the “rule of thirds”: approximately one-third of students who sign up for a course watch the first lecture. One-third of those students watch the Week Four lecture, and of those, another third watch the Week Eight lecture. Finally, one-third of the students who watch the Week Eight lecture go on to complete enough of the assignments, quizzes, and exams to pass the course and receive a certificate.

But focusing on the tiny fraction of students who complete a MOOC is misguided. The more important number is the 60 percent engagement rate. Students may not finish a MOOC with a certificate of accomplishment, but the courses nonetheless meet the educational goals of millions.

The “Rule of Thirds” in MOOCs (Yellow = Participate; Pink = Don't participate)

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10 Surprising Benefits of Online Learning in 2024

Interested in pursuing an online educational program? Find out about the specific benefits that come with pursuing an online education.

Whether you want to learn a language, strengthen a specific technical skill, or earn a full academic degree, there have never been quite so many options to learn online. In fact, more students have been taking advantage of online education in recent years. For example, forty-four percent of undergraduate students and 52 percent of graduate students in the United States were enrolled exclusively in online courses in 2020 [ 1 ].

Online learning is a popular alternative to in-person learning because it can remove major barriers to education, thereby making it more equitable and accessible. In this article, we'll discuss the major benefits of learning online, so you can determine whether it's the best option for you.

10 benefits you gain from learning online 

Online learning is expanding the reach of education and empowering more people than ever before to work toward their personal goals. Let’s go over some of the major benefits of online learning.  

1. You don’t have to relocate or commute.  

With online learning, the classroom comes to you. No matter what type of credential you’re interested in achieving—degree, professional certificate, qualification—you can access some of the most renowned educational institutions or industry leaders online. What’s more: you’re not limited by borders. You can find programs across the country or even across the globe, without having to factor in relocation costs to study elsewhere. 

Many colleges and universities also require students to pay parking fees to access campus, which can be costly. But you won’t have to worry about that additional cost, or the cost of commuting, with an online program. 

2. You can decide your learning space. 

Whether you’re learning synchronously or asynchronously online, you don’t have to worry about the hurdles of getting to class. All you have to do is turn on your computer. That may be a more comfortable option, especially if it means you don’t have to carry books, a laptop, or other necessities around. Instead, you’ll have what you need right in front of you.  

Tip: If you’re learning from home, create a dedicated learning space—whether that’s the corner of a room or the corner of a table—so that it’s easier to shift into learning mode when it comes time to sit down and study

Read more: 11 Good Study Habits to Develop

3. You can keep working while enrolled. 

A lot of students work part-time or full-time while attending college or completing other programs designed to enhance their education or skill set. But the rigid scheduling of many in-person programs can make it hard to balance your professional obligations with your educational ones. 

With online learning, courses are often designed to be more flexible so that you can work them into your work schedule. That way, you don’t have to put your professional life on hold while you pursue your education.  

4. You can build on skills you already have—or learn something entirely new.

You can change your entire career trajectory from your couch. Thanks to the range of courses, certificate programs, tutorials, and more that have been designed to teach you timely, career-relevant skills, you don’t have to go far to make a big change. Given that kind of focus, you also don’t have to spend time learning something you don’t need. 

Beyond a career change, you can strengthen your existing skill set by taking similar offerings designed to teach you a specific workplace skill or technical skill that will help you advance. And you’re not limited to the course catalog of any one particular school—the options for online learning are nearly endless. 

5. You can learn from top universities or industry-leading companies. 

Many prestigious colleges and universities now offer online degree options. An online degree from a major institution typically has the same value as one you earned in person and may even expose you to more rigorous coursework or skills development. On Coursera, you can find degrees from the University of London, University of Illinois, University of Michigan, Penn State, and HEC Paris. 

In addition to universities, many major companies now offer programs designed to help you learn a new aspect of a career—or bolster your skill set. Google , IBM , Meta , and Salesforce all offer Professional Certificates on Coursera. These focused programs can be an excellent way to expand your industry knowledge or get started in a new field. 

6. Your schedule tends to be flexible and you can learn at your own pace.

Online learning structures vary, but generally, they’re designed to be more flexible than in-person classes, which means you can access your program on your own time and, more often than not, work at your own pace. Studying takes time, so when you can fit it into your schedule, rather than adjust your schedule around your learning, it may create the flexibility you need to establish an education plan that works for you. 

7. You might save money compared to in-person learning. 

Beyond tuition and fees, there are a lot of costs associated with attending college or university—or a workshop, course, or certificate program—in person. With online learning, you tend to benefit from lower overall costs because there’s less overhead associated with operating each program. According to the Education Data Initiative, for instance, the cost per credit hour is often much lower for online courses than in-person ones [ 2 ]. 

Read more: How to Pay for Graduate School: 8 Ways

8. You can choose between self-paced and accelerated options.

Thanks to the pace you can often set with your online coursework and the growing spate of accelerated degree programs, it may be possible to complete an online education faster because you can move through courses more rapidly, as opposed to waiting for a new lesson each week. 

Learn how else you can speed up the process of earning your bachelor’s degree . 

9. You can engage with a global peer network. 

Diversity yields greater perspectives and insights. Thanks to the global availability of online learning, you may find yourself enrolled alongside students from around the world, which may in turn foster broader, more diverse opinions and learning. Moreover, depending on your program, you may have the opportunity to engage with your classmates as much as you want. Use the resources available in your program to connect with other students or maybe even start a virtual club to help stay in touch or keep each other on track.  

10. You may strengthen important transferable skills.

You can not only bolster your subject knowledge when you learn online, but you can also hone transferable skills , like communication , critical thinking , adaptability , and more. Specifically, learning online often requires greater time management and self-discipline because you are responsible for logging in to complete your lesson rather than following an in-person class schedule that dictates where and when to be. When you learn online, you also sharpen your ability to work independently, or without supervision, which is a valued skill among employers. 

Explore online learning

There’s never been a better time to learn online than now. Explore an array of educational options on Coursera, including bachelor’s degrees and master’s degrees from leading universities around the world. If you’re looking to gain career-ready skills, check out a Professional Certificate in computer science or IT , data science , business , or marketing .   

Alternately, check out a number of free courses , like the popular The Science of Well-Being from Yale University, which examines the nature of happiness, or something more career-focused like Introduction to User Experience Design from Georgia Tech.

Build job-ready skills with a Coursera Plus subscription

• Get access to 7,000+ learning programs from world-class universities and companies, including Google, Yale, Salesforce, and more
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Article sources

College Board. “ Trends in College Pricing and Student Aid 2021 ,  https://research.collegeboard.org/pdf/trends-college-pricing-student-aid-2021.pdf." Accessed December 21, 2023.

Education Data Initiative. “ Cost of Online Education vs. Traditional Education: Comparison , https://educationdata.org/cost-of-online-education-vs-traditional-education." Accessed December 21, 2023.

Keep reading

Coursera staff.

Editorial Team

Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact...

This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Home — Essay Samples — Education — Online Vs. Traditional Classes — Online Education And Its Benefits: Detailed Analysis

Online Education and Its Benefits: Detailed Analysis

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Published: May 17, 2022

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Flexibility, self-disciple and responsibility, lower costs and debts, more choice of course topics, convenient learning environment.

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Online Learning : The Value And Impact Of Online Education

Since the inception of the Internet and advances in computer and mobile device technologies, the ability and availability to take an online course from nearly anywhere and anytime have emerged. Online education is an internet based education system seemingly substituting the conventional face-to-face brick and mortar education system; this allows students to undertake their coursework without necessarily attending classes on college campuses. This education system offers a great deal of flexibility for those who wish to continue their studies while pursuing other commitments. Increasingly more, institutions are embracing the concept of online learning to facilitate distance learning programs. This indicates that society has recognized the value of online learning. The Value and Impact of Online Education Bakia, Shear, Toyama & Lasseter (2012) cited that educational systems are always being pressurized to reduce costs and improve the performance of students. Different states and learning institutions have discovered that online education can help them achieve that goal. Bakia et al. (2012) wrote, “Online learning broadens student access to courses taught by qualified teachers in schools that could otherwise not afford to provide these courses because of relatively small student demand locally or the costs associated with recruiting teachers with the necessary skills and credentials.” Apparently, this is the primary reason why online education was becoming popular in the

Online vs Traditional Learning Essay

Online degrees are becoming an ever more trendy method to receive a college education and many students are switching to online education due to the quality of material, ease, and the level of flexibility in distance education programs. Recently, the internet has developed into a reliable capital of information for college seekers. Everything from applying for financial assistance to taking a course can be done online. Now, a student can even obtain online degrees from one of many schools offering online education as a practical choice to a traditional classroom education. There’s a load of information regarding online education, and distance education is becoming increasingly popular for students everywhere.

Online Education Versus Traditional Education

Many students have a difficult time choosing between online education and traditional education. Both styles of education offer advantages and disadvantages to the student. There are many things to consider when making this life altering decision, such as, cost, convenience, time, social interaction, and technology. This information is meant to inform prospective students looking to further their education of the pros and cons of both online education and traditional education. Taking the steps to further your education is a big decision and one that should not be taken lightly. One should weigh all of his/her options and be well informed and certain of their choice before taking that leap.

Annotated Bibliography

The authors analyzed statistics of online learning to determine what they mean. They looked at the growth of online options in institutions. They also compared online learning with traditional learning to determine if it was as effective.

Online Learning Vs. Traditional Learning

Nowadays, education becomes one of the important things in human life. Most people are aware of the necessity of a higher education. In this present day with the technology there are more options to obtain education. Besides attending traditional schools, people can get an online education. Although there is a similarity between online education and traditional education, the differences between them are more noteworthy.

Online Learning Success

In today’s society, so many people are continuing their education beyond high school. We realize that in order to make a decent living, a degree is most likely a requirement. In some cases even a bachelor’s degree is not enough to qualify for many positions. Nevertheless, thanks to technology, we now have the option to learn online or in a traditional classroom setting. There are very few differences between the two, and students need to understand that as much time and energy will need to be devoted to the online courses as on a campus. “A 2010 meta-analysis and review of online-learning studies concluded that online learning was as good as or slightly more effective than traditional face-to-face instruction” (Mendenhall, 2011).

Online College Courses For Students

Online college courses are almost becoming traditional for students. Some may perceive that a student does not receive an equal education when taking an online class. People tend to think that if a teacher is not directly giving the information about the subject, the course learning experience is different or unjust. This assumption is wrong according to the perception of many online course takers. Online college courses offer students the advantage to learn on their own time. The skills that a student learns in self-discipline, scheduling to complete graded assignments, and advantages learned with technology gives online classes equal education experience compared to classes on campus.

Essay about Online Education Versus Traditional Education

• 3 Works Cited

According to Barbara Means, the study’s lead author and an educational psychologist at SRI International, online education ultimate goal, is to provide learning experiences that are more tailored to individual students than is possible in classrooms. That enables more “learning by doing,” which many students find more engaging and useful.

Benefits Of Online Education

Learning is more than just receiving information. Traditionally learning was to be in campus, where students would interact with one a another, there were no other ways for learners to get educated beside going to the classroom and listening to the instructor. Nowadays the Internet has brought different ways for people to receive information, such as getting education and degrees online. A few years ago online education was never thinkable, and yet it has become to reality and it is widely expanding with popularity. Online education is a type of educational instruction that delivers learning to individuals to their own homes, and it is getting very popular among nontraditional student and others. Individuals prefer online education

Essay on Distance Learning vs. the Traditional Classroom

• 5 Works Cited

Non-traditional students are finding it easier and easier to maintain a job, a family, and pursuing a college career at the same time. This is possible because more and more non-traditional students are receiving an education using distance learning, as opposed to traditional, in-the-classroom teaching. Distance learning is basically taking college level, credit-bearing courses via the Internet. One of the most obvious advantages of distance learning is that it puts the classroom in your home, office, or wherever you can find a computer and log on to the Internet. However, there is much controversy regarding the quality of the courses being offered on the Internet versus the quality of

The Negatives Of Online Education

Online education is a type of distance learning. The student is taking courses without attending a school or university. Instead, online students and teachers interact over the Internet. Online classes can teach students educational responsibility. By forcing them to access the online portal to participate in reading the textbooks/lectures and doing the assignments. Technical abilities is also learned with online classes. Students who lack the tech savvy knowledge can learn how to navigate through the online environment. Being able to access the online portal at any given time of the day is one other benefit to online education. Though online education may seem beneficial, there are more negatives than

Online Classes Vs. Traditional Classes Essay

Technology is changing every aspect in our lives, even the way we learn. Online classes are a rapidly growing trend it today’s society. Online classes are a cost-effective substitute for traditional courses and more convenient for many, so more schools and universities are offering this option. Due to the increase in online course enrollment, people are questioning if students truly learn something from online classes because it’s not a traditional learning environment. Online classes are just, if not more, effective as traditional classes because grades have increased and online discussions provide students with the chance to interact through networking while earning a degree for less than what it would cost to enroll at the same university.

To What Extent Can Online Learning Replace Traditional Classroom-Based Learning?

Education has undergone significant changes because of the development of information and communication technology over the 21st century (Lin & Jou, 2012:2). As a convenient and inexpensive way to gain knowledge while pursuing higher education, online learning, a form of training or teaching that takes place over the Internet, has been considered as an alternative to traditional classroom learning (Zhang et al, 2004). This essay will argue that even though online learning has benefit such as flexibility which could outweigh traditional learning, traditional classroom learning might still not be entirely replaced. This essay will discuss positive and negative aspects of online and traditional learning in terms of four criteria:

Online Education Essay

Education is an important part of people’s lives; it will either make them or break them in the future depending on the careers they choose. Education is greatly diverse today in comparison to the 1950s because of advancements in teaching and other great inventions that provide easier techniques of teaching. One major issue that has been raised is distant learning courses and online education.

Persuasive Essay On Online Classes

Andrew Simoncelli once said, “Students who take online classes must be motivated, independent learners.” This is relevant because independence and motivation is what it takes to succeed in an online course. Online learning will not only expand what students learn, but will also bring a number of positive changes in the way students are taught. Courses online have changed everyone’s look at learning all over the world. It allows more opportunities for observers to learn online rather than learning in class. Another affirmative of taking an online course is flexibility and convenience. Students who would like to experience some of these ideas should look into an online class!

Online education has grown since it first came about, there are mixed views on whether it is truly beneficial. The reasons for the huge growth of online education is money even though online education targeted working adults that have little or no time to sit in a traditional classroom for millions of men and women serving in the armed forces online education has made earning a degree much more possible.

Related Topics

• History of education

Value of Education Essay

500 words essay on value of education.

Education is a weapon for the people by which they can live a high-quality life. Furthermore, education makes people easy to govern but at the same time it makes them impossible to be enslaved. Let us take a look at the incredible importance of education with this value of education essay.

                                                                                                                        Value Of Education Essay

Importance of Education

Education makes people independent. Furthermore, it increases knowledge, strengthens the mind, and forms character. Moreover, education enables people to put their potentials to optimum use.

Education is also a type of reform for the human mind. Without education, the training of the human mind would always remain incomplete.

Education makes a person an efficient decision-maker and a right thinker. Moreover, this is possible only with the help of education. This is because education acquaints an individual with knowledge of the world around him and beyond, besides teaching the individual to be a better judge of the present.

A person that receives education shall have more avenues for the life of his choice. Moreover, an educated person will be able to make decisions in the best possible manner. This is why there is such a high demand for educated people over uneducated people for the purpose of employment .

Negative Impact of Lack of Education

Without education, a person would feel trapped. One can understand this by the example of a man who is confined to a closed room, completely shut from the outside world, with no way to exit it. Most noteworthy, an uneducated person can be compared to this confined man.

Education enables a person to access the open world. Furthermore, a person without education is unable to read and write. Consequently, a person without education would remain closed to all the knowledge and wisdom an educated person can gain from books and other mediums.

The literacy rate of India stands at around 60% in comparison to more than 80% literacy rate of the rest of the world. Moreover, the female literacy rate is 54.16% in accordance with the 2001 population census. These figures certainly highlight the massive problem of lack of education in India.

To promote education, the government of India takes it as a national policy. The intention of the government is to target the very cause of illiteracy. As such, the government endeavours to eradicate illiteracy, which in turn would lead to the eradication of poverty .

The government is running various literacy programmes like the free-education programme, weekend and part-time study programme, continuing education programme, mid-day meal programme, adult literacy programme, etc. With the consistent success rate of these programmes, hopefully, things will better.

Get the huge list of more than 500 Essay Topics and Ideas

Conclusion of Value of Education Essay

Education is one of the most effective ways to make people better and more productive. It is a tool that can make people easy to lead but at the same time difficult to drive. Education removes naivety and ignorance from the people, leaving them aware, informed, and enlightened.

FAQs For Value of Education Essay

Question 1: What is the importance of education in our lives?

Answer 1: Having an education in a particular area helps people think, feel, and behave in a way that contributes to their success, and improves not only their personal satisfaction but also enhances their community. In addition, education develops the human personality and prepares people for life experiences.

Question 2: Explain the meaning of true education?

Answer 2: True education means going beyond earning degrees and bookish knowledge when it comes to learning. Furthermore, true education means inculcating a helping attitude, optimistic thinking, and moral values in students with the aim of bringing positive changes in society.

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The Value of Education Essay

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Introduction

The education system in the United States has been a highly controversial topic for a long time. Many people argue its value and require serious reforms. However, others believe that the current situation is totally acceptable and emphasizes the strengths of educational institutions in the country. The main goal of this paper is to discuss the key aspects of the education system in the United States and highlight its value.

There are several benefits and drawbacks to the US education system. The fact that most college graduates have better salaries its main advantage. The average income for citizens aged 25 years and older with bachelor degrees is almost two times higher than for people with only high school diplomas (Snipp, 2015). Another reason to choose higher education is that many jobs require college degrees. However, there are significant cons, as well.

Student debt loans are a heavy burden for graduates. More than half of the students in the United States spend almost 60 percent of their annual income to pay off loan debts (Bok, 2015). In addition, in spite of the fact that most employers hire only college-educated specialists, many graduates cannot find a job.

My parents have already spent on my education more than $30,000. However, I believe that it is worth this money. Education offers many opportunities for students. They can interact with teachers, professors, and other professionals to gain very valuable experience and knowledge. Education helps to develop social and vocational skills that are necessary for modern society. Also, educational institutions narrow the gap between the rich and the poor.

Many specialists claim that education is one of the most prominent instruments that can serve as a social equalizer. First, more educated people have better chances to obtain higher-paying positions (Biddle, 2014). The most successful careers require many different qualities that are cultivated in educational institutions. Second, various studies show that there is a direct connection between a poverty level and the number of people with college and university degrees (Pavlakis, Noble, Pavlakis, Ali, & Frank, 2015). Educated citizens are more productive and reliable members of society. Such individuals are less likely to end up living in poverty. Therefore, education can reduce the difference between materially needy and wealthy people.

Evaluation is another important aspect that is necessary to discuss. Standardized tests are the major approach that is used by most educational institutes. There are many reasons for the application of such an assessment. First, standardized tests positively affect academic achievements. Second, they ensure an equal and complete evaluation of students. Third, standardized tests help to focus on the most important aspects of an educational program.

Therefore, this measure is highly objective, reliable, and fair. However, there are some additional evaluation methods like teachers’ reports or extracurricular activities. Teachers’ reports provide parents with information about the student’s achievements. It might help them to decide on certain steps aimed at enhancing their children’s performance. Such reports demonstrate the student’s strengths and weaknesses. Also, teachers might offer some recommendations, highlighting specific areas that need to be improved.

Extracurricular activities might serve as an evaluating tool, as well. It helps a college administration understand more deeply the personality of an applicant. However, these additional measures can also be overwhelming to students. Their effectiveness depends on a family’s socioeconomic background. Therefore, students from healthy families benefit from teachers’ reports and extracurricular activities as they have a strong and reliable support system. However, it might be a heavy burden for children who live in dysfunctional families.

Therefore, educational institutions should provide special treatment to people from a poor socio-economic environment. Colleges have to do much more to admit low-income students and help them to complete programs. There are many successful examples that demonstrate that needy people can get the necessary support from the education system. Such assistance improves academic achievements and, subsequently, chances to get a more favorable job.

Low-income students are faced with different barriers that prevent them from enrolling in and completing educational programs. Many colleges put their prestige too high, and it makes them unaffordable to most learners. Therefore, it is necessary to bring particular attention to such institutes. Also, some ethnic communities require additional support. Many African-American students ask for fair treatment. Although equal rights are guaranteed to all citizens, this ethnic group is still faced with unfair attitudes that lead to low enrolment rates.

In conclusion, the development of a nation depends on the quality of education. The lack of literacy among the general public leads to economic and intellectual stagnation. Many American citizens believe that the education system in their country is not effective and should be changed. Students cannot afford to study at colleges and universities due to high tuition. The financial status also has a direct impact on their academic achievements. In addition, many graduates cannot find appropriate jobs. However, education offers many different opportunities that let a young person become a decent member of society. Although this system is not ideal, it is still the major factor that makes the United States one of the most prosperous countries.

Biddle, B. (2014). Social class, poverty and education . New York, NY: Routledge.

Bok, D. (2015). Higher education in America . New Jersey, NJ: Princeton University Press.

Pavlakis, A. E., Noble, K., Pavlakis, S. G., Ali, N., & Frank, Y. (2015). Brain imaging and electrophysiology biomarkers: Is there a role in poverty and education outcome research? Pediatric Neurology , 52 (4), 383-388.

Snipp, C. (2015). A historical overview and current assessment . W. G. Tierney. (Ed.). Baltimore, Maryland: Johns Hopkins University Press.

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Strategically Conservative Q-Learning

• Shimizu, Yutaka
• Levine, Sergey
• Tomizuka, Masayoshi

Offline reinforcement learning (RL) is a compelling paradigm to extend RL's practical utility by leveraging pre-collected, static datasets, thereby avoiding the limitations associated with collecting online interactions. The major difficulty in offline RL is mitigating the impact of approximation errors when encountering out-of-distribution (OOD) actions; doing so ineffectively will lead to policies that prefer OOD actions, which can lead to unexpected and potentially catastrophic results. Despite the variety of works proposed to address this issue, they tend to excessively suppress the value function in and around OOD regions, resulting in overly pessimistic value estimates. In this paper, we propose a novel framework called Strategically Conservative Q-Learning (SCQ) that distinguishes between OOD data that is easy and hard to estimate, ultimately resulting in less conservative value estimates. Our approach exploits the inherent strengths of neural networks to interpolate, while carefully navigating their limitations in extrapolation, to obtain pessimistic yet still property calibrated value estimates. Theoretical analysis also shows that the value function learned by SCQ is still conservative, but potentially much less so than that of Conservative Q-learning (CQL). Finally, extensive evaluation on the D4RL benchmark tasks shows our proposed method outperforms state-of-the-art methods. Our code is available through \url{https://github.com/purewater0901/SCQ}.

• Computer Science - Machine Learning

The state of AI in early 2024: Gen AI adoption spikes and starts to generate value

If 2023 was the year the world discovered generative AI (gen AI) , 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey  on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. Respondents’ expectations for gen AI’s impact remain as high as they were last year , with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead.

About the authors

This article is a collaborative effort by Alex Singla , Alexander Sukharevsky , Lareina Yee , and Michael Chui , with Bryce Hall , representing views from QuantumBlack, AI by McKinsey, and McKinsey Digital.

Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value.

AI adoption surges

Interest in generative AI has also brightened the spotlight on a broader set of AI capabilities. For the past six years, AI adoption by respondents’ organizations has hovered at about 50 percent. This year, the survey finds that adoption has jumped to 72 percent (Exhibit 1). And the interest is truly global in scope. Our 2023 survey found that AI adoption did not reach 66 percent in any region; however, this year more than two-thirds of respondents in nearly every region say their organizations are using AI. 1 Organizations based in Central and South America are the exception, with 58 percent of respondents working for organizations based in Central and South America reporting AI adoption. Looking by industry, the biggest increase in adoption can be found in professional services. 2 Includes respondents working for organizations focused on human resources, legal services, management consulting, market research, R&D, tax preparation, and training.

Also, responses suggest that companies are now using AI in more parts of the business. Half of respondents say their organizations have adopted AI in two or more business functions, up from less than a third of respondents in 2023 (Exhibit 2).

Gen AI adoption is most common in the functions where it can create the most value

Most respondents now report that their organizations—and they as individuals—are using gen AI. Sixty-five percent of respondents say their organizations are regularly using gen AI in at least one business function, up from one-third last year. The average organization using gen AI is doing so in two functions, most often in marketing and sales and in product and service development—two functions in which previous research  determined that gen AI adoption could generate the most value 3 “ The economic potential of generative AI: The next productivity frontier ,” McKinsey, June 14, 2023. —as well as in IT (Exhibit 3). The biggest increase from 2023 is found in marketing and sales, where reported adoption has more than doubled. Yet across functions, only two use cases, both within marketing and sales, are reported by 15 percent or more of respondents.

Gen AI also is weaving its way into respondents’ personal lives. Compared with 2023, respondents are much more likely to be using gen AI at work and even more likely to be using gen AI both at work and in their personal lives (Exhibit 4). The survey finds upticks in gen AI use across all regions, with the largest increases in Asia–Pacific and Greater China. Respondents at the highest seniority levels, meanwhile, show larger jumps in the use of gen Al tools for work and outside of work compared with their midlevel-management peers. Looking at specific industries, respondents working in energy and materials and in professional services report the largest increase in gen AI use.

Investments in gen AI and analytical AI are beginning to create value

The latest survey also shows how different industries are budgeting for gen AI. Responses suggest that, in many industries, organizations are about equally as likely to be investing more than 5 percent of their digital budgets in gen AI as they are in nongenerative, analytical-AI solutions (Exhibit 5). Yet in most industries, larger shares of respondents report that their organizations spend more than 20 percent on analytical AI than on gen AI. Looking ahead, most respondents—67 percent—expect their organizations to invest more in AI over the next three years.

Where are those investments paying off? For the first time, our latest survey explored the value created by gen AI use by business function. The function in which the largest share of respondents report seeing cost decreases is human resources. Respondents most commonly report meaningful revenue increases (of more than 5 percent) in supply chain and inventory management (Exhibit 6). For analytical AI, respondents most often report seeing cost benefits in service operations—in line with what we found last year —as well as meaningful revenue increases from AI use in marketing and sales.

Inaccuracy: The most recognized and experienced risk of gen AI use

As businesses begin to see the benefits of gen AI, they’re also recognizing the diverse risks associated with the technology. These can range from data management risks such as data privacy, bias, or intellectual property (IP) infringement to model management risks, which tend to focus on inaccurate output or lack of explainability. A third big risk category is security and incorrect use.

Respondents to the latest survey are more likely than they were last year to say their organizations consider inaccuracy and IP infringement to be relevant to their use of gen AI, and about half continue to view cybersecurity as a risk (Exhibit 7).

Conversely, respondents are less likely than they were last year to say their organizations consider workforce and labor displacement to be relevant risks and are not increasing efforts to mitigate them.

In fact, inaccuracy— which can affect use cases across the gen AI value chain , ranging from customer journeys and summarization to coding and creative content—is the only risk that respondents are significantly more likely than last year to say their organizations are actively working to mitigate.

Some organizations have already experienced negative consequences from the use of gen AI, with 44 percent of respondents saying their organizations have experienced at least one consequence (Exhibit 8). Respondents most often report inaccuracy as a risk that has affected their organizations, followed by cybersecurity and explainability.

Our previous research has found that there are several elements of governance that can help in scaling gen AI use responsibly, yet few respondents report having these risk-related practices in place. 4 “ Implementing generative AI with speed and safety ,” McKinsey Quarterly , March 13, 2024. For example, just 18 percent say their organizations have an enterprise-wide council or board with the authority to make decisions involving responsible AI governance, and only one-third say gen AI risk awareness and risk mitigation controls are required skill sets for technical talent.

Bringing gen AI capabilities to bear

The latest survey also sought to understand how, and how quickly, organizations are deploying these new gen AI tools. We have found three archetypes for implementing gen AI solutions : takers use off-the-shelf, publicly available solutions; shapers customize those tools with proprietary data and systems; and makers develop their own foundation models from scratch. 5 “ Technology’s generational moment with generative AI: A CIO and CTO guide ,” McKinsey, July 11, 2023. Across most industries, the survey results suggest that organizations are finding off-the-shelf offerings applicable to their business needs—though many are pursuing opportunities to customize models or even develop their own (Exhibit 9). About half of reported gen AI uses within respondents’ business functions are utilizing off-the-shelf, publicly available models or tools, with little or no customization. Respondents in energy and materials, technology, and media and telecommunications are more likely to report significant customization or tuning of publicly available models or developing their own proprietary models to address specific business needs.

Respondents most often report that their organizations required one to four months from the start of a project to put gen AI into production, though the time it takes varies by business function (Exhibit 10). It also depends upon the approach for acquiring those capabilities. Not surprisingly, reported uses of highly customized or proprietary models are 1.5 times more likely than off-the-shelf, publicly available models to take five months or more to implement.

Gen AI high performers are excelling despite facing challenges

Gen AI is a new technology, and organizations are still early in the journey of pursuing its opportunities and scaling it across functions. So it’s little surprise that only a small subset of respondents (46 out of 876) report that a meaningful share of their organizations’ EBIT can be attributed to their deployment of gen AI. Still, these gen AI leaders are worth examining closely. These, after all, are the early movers, who already attribute more than 10 percent of their organizations’ EBIT to their use of gen AI. Forty-two percent of these high performers say more than 20 percent of their EBIT is attributable to their use of nongenerative, analytical AI, and they span industries and regions—though most are at organizations with less than $1 billion in annual revenue. The AI-related practices at these organizations can offer guidance to those looking to create value from gen AI adoption at their own organizations.

To start, gen AI high performers are using gen AI in more business functions—an average of three functions, while others average two. They, like other organizations, are most likely to use gen AI in marketing and sales and product or service development, but they’re much more likely than others to use gen AI solutions in risk, legal, and compliance; in strategy and corporate finance; and in supply chain and inventory management. They’re more than three times as likely as others to be using gen AI in activities ranging from processing of accounting documents and risk assessment to R&D testing and pricing and promotions. While, overall, about half of reported gen AI applications within business functions are utilizing publicly available models or tools, gen AI high performers are less likely to use those off-the-shelf options than to either implement significantly customized versions of those tools or to develop their own proprietary foundation models.

What else are these high performers doing differently? For one thing, they are paying more attention to gen-AI-related risks. Perhaps because they are further along on their journeys, they are more likely than others to say their organizations have experienced every negative consequence from gen AI we asked about, from cybersecurity and personal privacy to explainability and IP infringement. Given that, they are more likely than others to report that their organizations consider those risks, as well as regulatory compliance, environmental impacts, and political stability, to be relevant to their gen AI use, and they say they take steps to mitigate more risks than others do.

Gen AI high performers are also much more likely to say their organizations follow a set of risk-related best practices (Exhibit 11). For example, they are nearly twice as likely as others to involve the legal function and embed risk reviews early on in the development of gen AI solutions—that is, to “ shift left .” They’re also much more likely than others to employ a wide range of other best practices, from strategy-related practices to those related to scaling.

In addition to experiencing the risks of gen AI adoption, high performers have encountered other challenges that can serve as warnings to others (Exhibit 12). Seventy percent say they have experienced difficulties with data, including defining processes for data governance, developing the ability to quickly integrate data into AI models, and an insufficient amount of training data, highlighting the essential role that data play in capturing value. High performers are also more likely than others to report experiencing challenges with their operating models, such as implementing agile ways of working and effective sprint performance management.

About the research

The online survey was in the field from February 22 to March 5, 2024, and garnered responses from 1,363 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 981 said their organizations had adopted AI in at least one business function, and 878 said their organizations were regularly using gen AI in at least one function. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP.

Alex Singla and Alexander Sukharevsky  are global coleaders of QuantumBlack, AI by McKinsey, and senior partners in McKinsey’s Chicago and London offices, respectively; Lareina Yee  is a senior partner in the Bay Area office, where Michael Chui , a McKinsey Global Institute partner, is a partner; and Bryce Hall  is an associate partner in the Washington, DC, office.

They wish to thank Kaitlin Noe, Larry Kanter, Mallika Jhamb, and Shinjini Srivastava for their contributions to this work.

This article was edited by Heather Hanselman, a senior editor in McKinsey’s Atlanta office.

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