
STUDENT PERCEPTIONS AND TECHNOLOGY ACCEPTANCE FOR ONLINE LEARNING IN HIGHER EDUCATION: AN EMPIRICAL STUDY
Dr Somesh Tripathy , Assistant Professor (Stage-II), Department of Industrial Relations & Personnel Management Berhampur University, Odisha, IndiaAbstract
This empirical study explores student perceptions and technology acceptance regarding online learning in higher education. Utilizing the Technology Acceptance Model (TAM) as the theoretical framework, we surveyed 500 university students across various disciplines to assess their attitudes towards online learning platforms. The survey measured perceived ease of use, perceived usefulness, behavioral intention to use, and actual usage of online learning technologies. Results indicate a generally positive reception, with perceived usefulness and ease of use significantly influencing students' intentions to engage with online learning. However, challenges such as technical issues and lack of interaction were also identified. This study highlights critical factors that influence technology acceptance and offers insights for educators and institutions aiming to enhance the effectiveness and adoption of online learning systems.
Keywords
Technology acceptance, Online learning, Higher education
References
Lawrence, A., Bamber, C., &Elezi, E. (2017). E-learning Solutions for a Changing Global Market. An Analysis of Two Comparative Case Studies. Management Dynamics in the Knowledge Economy, 5(4), 597-618.
Duart, J. M., &Mengual-Andrés, S. (2015). Transformations in the University Today: Integrating formative models. Revista Española de EducaciónComparada, (26), 15-39.
Boelens, R., Voet, M., & De Wever, B. (2018). The design of blended learning in response to student diversity in higher education: Instructors’ views and use of differentiated instruction in blended learning. Computers & Education, 120, 197-212.
Dziuban, C., Graham, C. R., Moskal, P. D., Norberg, A., & Sicilia, N. (2018). Blended learning: the new normal and emerging technologies. International Journal of Educational Technology in Higher Education, 15(1), 3.
Protopsaltis, S., & Baum, S. (2019). Does online education live up to its promise? A look at the evidence and implications for federal policy. Center for Educational Policy Evaluation.
Keller, C., &Cernerud, L. (2002). Students’ perceptions of e‐learning in university education. Journal of Educational Media, 27(1-2), 55-67.
Marquardt, M. J. (1996). Building the learning organization: A systems approach to quantum improvement and global success. McGraw-Hill Companies.
Lim, H., Lee, S. G., & Nam, K. (2007). Validating E-learning factors affecting training effectiveness. International Journal of Information Management, 27(1), 22-35.
Bagozzi, R. P., Davis, F. D., &Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human relations, 45(7), 659-686.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
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