The emergence of online education has transformed the study process, with digital media now being how students acquire knowledge. This paper critically analyzes digital consumer behaviours regarding the online education market. Through analysis of engagement trends, preferences and decision-making processes, the article intends to discover the complexities of how individuals interact with digital learning. By applying different theoretical frameworks like Web 2.0, neoliberalism, biopolitics and surveillance capitalism, the essay tries to provide a deeper understanding of digital consumption in online education.
Evolution of Online Education
The early history of online education can be traced back to the middle of the 20th century when universities started developing computer-based learning technology (OnlineSchools.org, 2023). However, it was only with the introduction of the Internet in the 1980s and 1990s that e-learning became formidable. During this time, universities and educational organizations began to provide classes and programs entirely delivered through websites, thus marking the start of online learning. The early 2000s brought a massive growth of web platforms for learning, which ultimately provided teachers with the means of administering and facilitating online instruction (del Campo et al., 2012). Sites such as Blackboard and Moodle also originated and gained acceptance of their usage as they provided asynchronous learning environments in which students could access the course materials and participate in discussions at any convenient time. This period set the foundation for the creation of the digital infrastructure to support the future growth of e-learning.
The great potential of changing the face of contemporary online education was proven together with the advent of Massive Online Open Courses or MOOCs (Stephen, 2013). Platforms such as Coursera, Udacity, and edX pioneered the idea of providing free or affordable courses from prestigious universities to students worldwide. MOOCs established global access to highly educational information, thus creating a communion of learners dedicated to improving their abilities and broadening their horizons. With the development of online education, traditional universities started implementing blended learning academic strategies in which online and face-to-face classes are combined (Watson, 2008). This strategy enabled teachers to integrate digital resources and equipment into traditional classrooms, which improved the quality of learners’ experiences by making them more focused and interactive. Institutional blended learning became a trend as higher authorities recognized the benefits of integrating the two learning methods in a new format by mixing flexible online learning and the support of traditional classroom settings. Moving ahead, the future of online education is characterized by continued innovation and expansion. Microlearning, gamification, and virtual reality are poised to reshape the online learning landscape, offering immersive and interactive educational experiences.
Digital Consumption in Online Education
Digital consumption within online education encompasses various activities, ranging from course selection and engagement with instructional materials to interaction with peers and educators (Haleem et al., 2022). With the proliferation of online learning platforms like Coursera and edX, learners are empowered to curate personalized learning journeys tailored to their interests, schedules, and career aspirations. Online education has experienced exponential growth, with a 900% increase in the global market since 2000 (Peck, 2024). The COVID-19 pandemic accelerated the adoption of online education, especially during the lockdown period. In the fall of 2019, just 2.4 million students were exclusively pursuing their education online. However, during the COVID-19 pandemic, this number surged nearly 200% to 7 million students (Peck, 2024). Universities worldwide shifted to online learning to ensure continuity of education, exemplifying the resilience and adaptability of digital consumption behaviour in times of crisis. Platforms like Coursera became indispensable tools for remote learning, offering courses ranging from STEM subjects to humanities. Coursera partners with over 300 leading university and industry partners to offer content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees (Coursera, 2023). Institutions worldwide use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business.
The consumption behaviour of digital consumers in online education encompasses a range of activities, from course selection and interaction with course content to participation in online discussions and engagement with support services.
Course Selection and Enrollment: Digital consumers engage in online education by selecting and enrolling in courses that align with their interests, career goals, and learning objectives (Haleem et al., 2022). This learning experience is marked by the choice on the part of the learner to find out the skills and techniques using the many course options offered and available from online learning platforms. Students can look at a course list, check reviews, and rate different features while selecting the appropriate course that matches their needs and preferences.
Interaction with Course Content: Students participating in a digital course actively interact with the course content using videos, readings, quizzes, and assignments (King & South, 2017). The surrounding environment in this particular context pertains to the consumption and assimilation of educational materials during which learners devote their time and effort to come to terms with course ideas. This could include watching training videos, reading books, and interactive courses which enable them to grasp the concepts better.
Participation in Online Discussions: Online learners in digital education generally submit their learning experience through online discussions and forums, which may include posting content, participating in the forums and sharing educational resources (Haleem et al., 2022). Such interactive behaviour in in-classroom activities creates opportunities for peer-to-peer interactions and collaborative learning, where learners can share insight, ask questions, and actively involve in fruitful discussions with other students and instructors. Through engaging in online debate, individuals contribute to the joint creation of knowledge and have the chance to get abundant perspectives from peers in their learning community.
Utilization of Support Services: Online learners may also interact with support services provided by online learning platforms like tutoring, academic advising and technical support services (Haleem et al., 2022). Learners with these behavioural learning patterns are proactive as they actively seek assistance and resources to enhance their overall learning experience. Digital consumers can find specialized instructional and personalized assistance that helps them find solutions, clear uncertainty, and succeed in education through various support services.
Feedback and Iterative Learning: The consumption patterns in online education also demonstrate the pursuit of feedback to ameliorate learning outcomes (King & South, 2017). Digital customers can proactively acquire feedback from instructors, peers and self-assessment tools to measure their achievements and highlight the place for improvement. Such a learning and renewal process implies a dynamic approach to knowledge opening. As the adapting process continues, the learners’ skills grow and develop based on the feedback and self-reflection they acquire.
Engagement with Supplementary Resources: The boundaries of formal courses can be transcended by digital consumers who also use supplementary resources to deepen their knowledge and pursue their areas of personal interest. Learners may follow these behaviours through accessing education podcasts, attending webinars, or utilizing open educational resources (OERs) online, all now possible through the Internet (Haleem et al., 2022). Taking on a well-rounded approach, learners contribute to their knowledge of the subject, which inducesent of perseverance towards continuous growth.
Theoretical Perspectives
Web 2.0 Theory
The Web 2.0 theory focuses on the interactive and participatory nature of the Internet, where users not only consume content but also generate it actively and engage in virtual communities (Yasar, 2023). This theory is of great importance in the online education environment because it has much meaning for digital consumers. Web 2.0 theory departs from previous education models where learning is primarily passive in favor of active engagement and collaboration among learners, leading to a more dynamic and interactive learning environment. Platforms such as Coursera are actualizing this paradigm shift by providing video lectures, interactive assignments, discussion forums, and other peer-to-peer learning opportunities. Human actors in the digital space turn from spectators of information to proactive players in the knowledge enrichment process and actively develop knowledge and dialogue with coursecourse peers and instructors.
In addition, the educational informatization model 2.0, linked to Web 2.0 theory, requires a more diversified support for educational resources, including their optional and multimodal use (Yan & Yang, 2021). It entails purchasing software/services for home/outdoor devices to integrate the basic software packages with digital materials from notable authors and learning institutions. For instance, adaptive learning algorithms on platforms like Khan Academy modify education according to individual student performance so that educational practice can be fitted to different learning types and preferences. In contrast with Education Informatization 1.0, whose principal objective was improving network infrastructure and hardware equipment, Education Informatization 2.0 gives due consideration to software platforms and the learning process to have the best results. Through interactive features, educational institutions and online platforms in distance learning co-create an experience that stimulates digital consumers to share their way of learning online, which, eventually, becomes a driving force of consumer behaviour in the realm of online education.
Neoliberalism and Biopolitics
The huge growth in online learning, especially during the COVID-19 era, can be effectively outlined from the perspectives of neoliberalism and biopolitics. Neoliberalism, a concept related to economic and social activities that emphasize the role of the market as a competition player, is essential in the consumption behaviour formation among digital learners in virtual education (Hamann, 2009). The neoliberal approach suggests the shift of education into the form of a market-oriented commodity, whereby people invest in their human capital for better job market competition. This privatization philosophy is exemplified the number of private online learning platforms such as Coursera and Udemy, which have a diverse course range tailored to personal interests and career goals. Through these platforms, digital consumers interact by seeing education as an avenue to make themselves more competitive in a dynamic international marketplace, developing their skills and, ultimately, their careers.
On the other hand, the transition to online education due to COVID-19 shows the blatant biopolitical characteristics of neoliberalism. AsBiopolitics developed by Michel Foucault, biopolitics pays attention to how power works upon population bodies and behaviours (Foucault et al., 2008). Governments and educational institutions strive to ensure that virtual education is continued through facilities such that individuals acquire skills that make them productive and adaptive in the labour market. Through incentives for people to take on online learning activities, governments and institutions spread the belief of constant individual betterment and adaptability,, which aligns with the neoliberal ideals of taking individual responsibility and self-reliance (Zwick & Bradshaw,2016). The digital world and people governed by such biopolitical imperatives actively resort to online educational platforms to gain new skills and knowledge, which in turn conform to the neoliberal concept of lifelong learning and personal growth.
Big Data and Surveillance Capitalism
Moreover, the impact of big-data–dominance in surveillance capitalism on the online consumption behaviour of digital consumers in e-learning is significant (Manyika et al., 2011). With an explosion of online learning platforms, the commodification of student data is more popular than ever, raising serious concerns about privacy, autonomy, and ethical issues. Digitalization of education gives birth to the rapid progression of data on student habits, interests, and results. Online platforms such as Coursera use this information to provide learners with customized experiences, and suggestions are made for web pages or online courses that might be relevant to their learning interests. Algorithstudents’ing data on sts progress and theiareengagement metrics to improve educational outcomes optimization.
At the same time, the monetization of student data by online learning platforms brings about serious questions about the surveillance capital. As defined by Zuboff (2015), surveillance capitalism means turning sonal data into commodities for profit, which results in a continuous examination of customers’ online behaviours and turning their activities into business sources. In the case of online education, digital consumers unknowingly contribute to this economy of data unwillingly through their interplay and engagement with educational content. Although it has been seen that users’ contributions on online learning platforms provide much value, the users are to have no say on how their data is used or monetized. This stress on the divergence between generated content from users and the financial greed of corporate capitalism confounds the conflicts encountered in surveillance capitalism. Although online students create value by participating in digital education services, they may not share in the income from their data monetization.
The extent of surveillance capitalism’s impact on online education behaviour is way beyond just the privacy of data. It is a factor that could lead to digital consumers’ that online learning platforms are profit-driven entities rather than for the public good thus influencing their trust and engagement levels (Zuboff, 2015). Besides, the question surrounding the unequal power relationship between online end users and service providers brings broader ethical issues about the commercialization of education and users’ private data to accrue profit for the companies.
Conclusion
In conclusion, the consumption behaviour of digital customers in online education is a clash of advanced technology, sociocultural ideals and academic procedures. By critically examining this phenomenon through Web 2.0 theory, neoliberalism, biopolitics, and surveillance capitalism, one can understand the complexities of online learning and how it contributes to social transformation. Although online learning provides convenience and participation, it also contains challenges like the digital gap, algorithmic bias, and difficulties related to data security. In the future, it is vital to recognize challenges and opportunities that arise from online education and thus produce a suitable environment for learning in a digital world.
References
OnlineSchools.org. 2023. The history of online schooling – OnlineSchools.org. https://www.onlineschools.org/visual-academy/the-history-of-online-schooling/
del Campo, J.M., Negro, V. and Núñez, M., 2012. The history of technology in education. A comparative study and forecast. Procedia-Social and Behavioral Sciences, 69, pp.1086–1092. https://doi.org/10.1016/j.sbspro.2012.12.036
Stepan, A., (2013). Massive open online courses (MOOC) Disruptive impact on higher education. https://core.ac.uk/download/pdf/56377226.pdf
Watson, J., (2008). Blended Learning: The Convergence of Online and Face-to-Face Education. Promising Practices in Online Learning. North American Council for Online Learning. https://files.eric.ed.gov/fulltext/ED509636.pdf
Haleem, A., Javaid, M., Qadri, M.A. and Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, pp.275–285. https://doi.org/10.1016/j.susoc.2022.05.004
Zuboff, S., (2015). Big other: surveillance capitalism and the prospects of an information civilization. Journal of information technology, 30(1), pp. 75–89. https://doi.org/10.1057/jit.2015.5
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C. and Hung Byers, A., (2011). Big data: The next frontier for innovation, competition, and productivity. http://dln.jaipuria.ac.in:8080/jspui/bitstream/123456789/14265/1/mgi_big_data_full_report.pdf
Peck, D. 2024. eLearning Statistics and Facts: The Ultimate list in 2024 https://www.devlinpeck.com/content/elearningstatistics#:~:text=The%20eLearning%20industry%20has%20witnessed%20a%20growth%20rate%20of%20900%25%20since%202000&text=The%20eLearning%20industry%20grew%20by,over%2030%25%20annual%20growth%20rates
Coursera. (2023). Coursera’s latest Learner Outcomes report highlights the Real-World impact of online learning. https://investor.coursera.com/news/news-details/2023/Courseras-Latest-Learner-Outcomes-Report-Highlights-the-Real-World-Impact-of-Online-Learning/default.aspx
King, J. and South, J., 2017. Reimagining the role of technology in higher education: A supplement to the national education technology plan. U.S. Department of Education, Office of Educational Technology. https://static.politico.com/20/ac/688279f247f695c1ea2c37063fc8/obama-administration-outlines-recommendations-for-using-technology-in-higher-education.05%5B1%5D%20copy.pdf
Yasar, K. 2023. Web 2.0. WhatIs. https://www.techtarget.com/whatis/definition/Web-20-or-Web-2
Yan, S. and Yang, Y., 2021. Education informatization 2.0 in China: Motivation, framework, and vision. ECNU Review of Education, 4(2), pp.410-428. https://doi.org/10.1177/2096531120944929
Hamann, T.H., 2009. Neoliberalism, governmentality, and ethics. Foucault studies, pp.37-59. https://doi.org/10.22439/fs.v0i0.2471
Zwick, D. and Bradshaw, A., 2016. Biopolitical marketing and social media brand communities. Theory, Culture & Society, 33(5), pp.91–115. https://doi.org/10.1177/0263276415625333
Foucault, M., Davidson, A.I. and Burchell, G., 2008. The birth of biopolitics: lectures at the Collège de France, 1978-1979. Springer. https://1000littlehammers.files.wordpress.com/2010/02/birth_of_biopolitics.pdf