Impact analysis of e-learning on students of higher education institutions during COVID-19: A structural equation modelling approach

Author:

Bhiwaniwala Sneh,Shetty Dasharathraj K.,Sighania Naman,Naik Nithesh,Vaz Sonia,Dubey Sukanya

Publisher

AIP Publishing

Reference108 articles.

1. Abdullah, F., & Ward, R. (2016). Developing a general extended technology acceptance model for e-learning (GETAMEL) by analyzing commonly used external factors. Computers in Human Behavior, 56, 238–256.

2. Alenezi, A.R., & Karim, A. (2010). An empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students’ intention to use e-learning: A case study from Saudi arabian governmental universities. Turkish Online Journal of Educational Technology-TOJET, 9(4), 22–34.

3. Al-Fraihat, D., Joy, M., & Sinclair, J. (2017). Identifying success factors for e-learning in higher education. International conference on e-learning (pp.247–255). Academic Conferences International Limited.

4. Ali, A., & Ahmad, I. (2011). Key factors for determining students’ satisfaction in distance learning courses: A study of Allama Iqbal open university. Contemporary Educational Technology, 2(2).

5. Allen, I. E., & Seaman, J. (2008). Staying the course: Online education in the United States, 2008. Retrieved from http://sloanconsortium.org/publications/survey/staying_course

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