EDTECH PLATFORMS, E-LEARNING AND ENTREPRENEURSHIP IN INDIA: AN EMPIRICAL STUDY ON STUDENT ENGAGEMENT IN THE DIGITAL AGE
Keywords:
EdTech Platforms, Student Engagement, Entrepreneurial Aspirations, Online Learning Outcomes, Digital EntrepreneurshipAbstract
India’s EdTech industry has rapidly evolved into a global leader, transforming the educational landscape for over 400 million learners, including 40 million students in higher education. The COVID-19 pandemic significantly accelerated the adoption of digital learning platforms, highlighting both their potential and limitations. While EdTech platforms offer substantial opportunities for enhancing student engagement, improving learning outcomes, and fostering entrepreneurial aspirations, their widespread implementation continues to face challenges such as the digital divide, limited accessibility, inadequate infrastructure, and parental concerns. This study critically examines the impact of EdTech adoption on student engagement, academic performance, and entrepreneurial orientation within India’s digital education ecosystem. A mixed-methods research design is employed, combining quantitative surveys and qualitative interviews. The study surveys 471 students from K–12 and higher education institutions across metropolitan and semi-urban regions of India, along with 25 EdTech entrepreneurs and 15 operational managers from leading firms. Secondary data from government reports, industry whitepapers, and academic literature further support the analysis. Descriptive statistics are used to identify adoption trends, while multiple linear regression assesses the relationship between EdTech usage and student engagement. T-tests and ANOVA examine demographic differences in engagement levels. Additionally, Partial Least Squares–Structural Equation Modelling (PLS-SEM) explores causal relationships among digital accessibility, AI-driven personalization, gamification, learning outcomes, entrepreneurial aspirations, and student engagement. Preliminary findings indicate a strong positive correlation between EdTech usage and improved motivation, engagement, academic performance, and retention rates compared to traditional e-learning models. The study also anticipates increased student interest in EdTech-driven entrepreneurship. The research concludes with strategic recommendations to bridge digital accessibility gaps, enhance AI-based personalization, address parental concerns, and integrate entrepreneurial learning frameworks to empower the next generation of digital entrepreneurs.References
Akyol, Z., Vaughan, N., & Garrison, D. R. (2011). The impact of course duration on the development of a community of inquiry. Interactive Learning Environments.
Anderson, T. (2017). How communities of inquiry drive teaching and learning in the digital age. In Emerging Technologies in Distance Education.
Arbaugh, J. B., Cleveland-Innes, M., Diaz, S., Garrison, D. R., Ice, P., Richardson, J. C., & Swan, K. P. (2008). Developing a community of inquiry instrument: Testing a measure of the Community of Inquiry framework using a multi-institutional sample. The Internet and Higher Education.
Baker, J. D. (2010). Instructor immediacy increases student enjoyment and perception of learning. Journal of Online Learning and Teaching.
Banik, B. G., & Gullapelly, A. (2025). AI-powered gamification and interactive learning tools for enhancing student engagement. In Driving Quality Education Through AI and Data Science (pp. 283–310). IGI Global Scientific Publishing.
Bansal, A., Pophalkar, S., & Vidani, C. (2023). A review of the Ed-Tech sector in India. International Journal of Management Analytics (IJMA), 1(1), 63–84.
Bansal, S., Sharma, S., & Kapoor, S. (2023). EdTech in India: Trends, challenges, and future outlook. Journal of Educational Technology.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Bond, M., Zawacki-Richter, O., & Nichols, M. (2019). Revisiting five decades of educational technology research: A content and authorship analysis of the British Journal of Educational Technology, 50(1), 12–63.
Borup, J., West, R. E., Thomas, R., & Graham, C. R. (2014). Examining the impact of video feedback on instructor social presence in blended courses. The International Review of Research in Open and Distributed Learning.
Chiu, T. K. (2022). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(sup1), S14–S30.
Dabral, S. (2023). Leveraging digital innovation for enhanced employee engagement: A theoretical exploration. IITM Journal of Management and IT, 14(1–2), 50–55.
Davis, F. D. (1989). Technology acceptance model: TAM. In M. N. Al-Suqri & A. S. Al-Aufi (Eds.), Information Seeking Behavior and Technology Adoption (pp. 205–219).
Dichev, C., & Dicheva, D. (2017). Gamifying education: What is known, what is believed, and what remains uncertain: A critical review. International Journal of Educational Technology in Higher Education, 14, 1–36.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.
Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2, 87–105.
Gray, J. A., & DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online environments. International Journal of Educational Leadership Preparation, 11(1).
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135.
Huang, R., Adarkwah, M. A., Liu, M., Hu, Y., Zhuang, R., & Chang, T. (2024). Digital pedagogy for sustainable education transformation. Frontiers of Digital Education, 1–16.
Liñán, F., & Chen, Y. W. (2009). Development and cross-cultural application of a specific instrument to measure entrepreneurial intentions. Entrepreneurship Theory and Practice, 33(3), 593–617.
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68.
Swan, K., Garrison, D. R., & Richardson, J. (2014). A constructivist approach to online learning: The Community of Inquiry framework. In Emerging Technologies in Distance Education.
Veletsianos, G. (2020). Learning online: The student experience. JHU Press.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Williamson, B. (2019). New power networks in educational technology. Learning, Media and Technology, 44(4), 395–398.
Yeung, K. L., Carpenter, S. K., & Corral, D. (2021). A comprehensive review of educational technology on objective learning outcomes in academic contexts. Educational Psychology Review, 1–48.
Zainuddin, Z., Shujahat, M., Haruna, H., & Chu, S. K. W. (2020). The role of gamified e-quizzes on student learning and engagement. Computers & Education, 145, 103729.
