References
- Ajzen, I., and M. Fishbein. 1980. Understanding Attitudes and Predicting Social Behavior. Michigan: Prentice-Hall.
- Al-Emran, M., I. Arpaci, and S. A Salloum. 2020. “An Empirical Examination of Continuous Intention to Use M-learning: An Integrated Model.” Education and Information Technologies: 1–20. doi:https://doi.org/10.1007/s10639-019-10094-2.
- Ananga, P. 2020. “Pedagogical Considerations of E-learning in Education for Development in the Face of COVID-19.” International Journal of Technology in Education and Science 4 (4): 310–321. doi:https://doi.org/10.46328/ijtes.v4i4.123.
- Arbaugh, J. B. 2000. “Virtual Classroom Characteristics and Student Satisfaction with Internet-based MBA Courses.” Journal of Management Education 24 (1): 32–54. doi:https://doi.org/10.1177/105256290002400104.
- Asiimwe, E. N., and A. Gronlund. 2015. “MLCMS Actual Use, Perceived Use, and Experiences of Use.” International Journal of Education and Development Using Information and Communication Technology (IJEDICT) 11 (1): 101–121.
- Awwal, M. 2011. An Empirical Investigation of the Relationship between Computer Self Efficacy and Information Privacy Concerns. Florida, USA: Nova Southeastern University.
- Bandura, A. 1977. “Self-efficacy: Toward a Unifying Theory of Behavioural Change.” Psychological Review 84 (2): 191–215. doi:https://doi.org/10.1037/0033-295X.84.2.191.
- Bhattacherjee, A., J. Perols, and C. Sanford. 2008. “Information Technology Continuance: A Theoretical Extension and Empirical Test.” Journal of Computer Information Systems 49 (1): 17–26. doi:https://doi.org/10.1080/08874417.2008.11645302.
- Bhattacherjee, A. 2001. “Understanding Information Systems Continuance: An Expectation-confirmation Model.” MIS Quarterly 25 (3): 351–370. doi:https://doi.org/10.2307/3250921.
- Bøe, T., B. Gulbrandsen, and Ø. Sørebø. 2015. “How to Stimulate the Continued Use of ICT in Higher Education: Integrating Information Systems Continuance Theory and Agency Theory.” Computers in Human Behavior 50: 375–384. doi:https://doi.org/10.1016/j.chb.2015.03.084.
- Castells, M. 2010. The Information Age: Economy, Society, and Culture. 2nd ed., Vol III: End of Millennium. West Sussex: Wiley-Blackwell.
- Chen, C. P., H. M. Lai, and C. Y. Ho. 2015. “Why Do Teachers Continue to Use Teaching Blogs? The Roles of Perceived Voluntariness and Habit.” Computers & Education 82: 236–249. doi:https://doi.org/10.1016/j.compedu.2014.11.017.
- Chiu, C. M., and E. T. Wang. 2008. “Understanding Web-based Learning Continuance Intention: The Role of Subjective Task Value.” Information & Management 45 (3): 194–201. doi:https://doi.org/10.1016/j.im.2008.02.003.
- Chomal, V. S., and J. R. Saini. 2013. “A Study and Analysis of Paradigm Shifts in Education Triggered by Technology.” International Journal of Research in Economics and Social Sciences 3 (1): 14–28.
- Collis, B., and J. Moonen. 2001. Flexible Learning in a Digital World: Experiences and Expectations. London: Kogan Page.
- Dabbagh, N. 2007. “The Online Learner: Characteristics and Pedagogical Implications.” Contemporary Issues in Technology and Teacher Education 7 (3): 217–226.
- Davis, F., R. Bagozzi, and P Warshaw. 1989. “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models.” Management Science 35 (8): 982–1003. doi:https://doi.org/10.1287/mnsc.35.8.982.
- Diwanji, S. 2020. “Number of Social Media Users in India 2015–2023.” Assessed 1 April 2020. https://www.statista.com/statistics/278407/number-of-social-network-users-in-india/
- Doyle, H., and C. Reading. 2012. “Building Teacher Educator TPACK: Developing Leaders as a Catalyst for Change in ICT Education .“ In: Future Challenges /Sustainable Futures 25–28 November 2012, edited by Brown, M., M. Hartnett, and T. Stewart, 272–282. Wellington, New Zealand: ASCILITE.
- Eveleth, L. B., and R. W. Stone. 2015. “Usability, Expectation, Confirmation, and Continuance Intentions to Use Electronic Textbooks.” Behaviour & Information Technology 34 (10): 92–1004.
- Financial Express. 2017. “Challenges and Opportunities for Indian Start-ups; Key Points to Note.” Accessed 12 February 2020. https://www.financialexpress.com/industry/challenges-and-opportunities-for-indian-start-ups-key-points-to-note/524728/
- Gavora, P. 2010. “Slovak Pre-service Teacher Self-efficacy: Theoretical and Research Considerations.” The New Educational Review 21 (2): 17–30.
- Goulão, M. F. 2020. “Online Learning Environments and Some Pedagogical Implications.” European Journal of Teaching and Education 2 (2): 35–44. doi:https://doi.org/10.33422/ejte.v2i2.198.
- Hair, J. F., W. C. Black, B. J. Babin, and R. E. Anderson. 2010. Multivariate Data Analysis. 7th ed. Upper Saddle River, NJ: Prentice Hall.
- Henson, R. K. 2001. “Teacher Self-efficacy: Substantive Implication and Measurement Dilemmas.” Paper presented as an invited keynote address given at the annual meeting of the Educational Research Exchange, College Station, TX: Texas A&M University.
- Hu, P. J., and W. Hui. 2012. “Examining the Role of Learning Engagement in Technology-mediated Learning and Its Effects on Learning Effectiveness and Satisfaction.” Decision Support Systems 53: 782–792. doi:https://doi.org/10.1016/j.dss.2012.05.014.
- Im, Y., and O. Lee. 2014. “Pedagogical Implications of Online Discussion for Preservice Teacher Training.” Journal of Research on Technology in Education 36 (2): 155–170. doi:https://doi.org/10.1080/15391523.2003.10782410.
- Jena, R. 2019. “The Power of Internet: Internet Penetration in India.” Accessed 18 January 2020. https://www.emarketeducation.in/power-internet-penetration-online-india/
- Jennifer, M. A., L.L. Eric, and A. S. James. 2006. “The Impact of Presentation Graphics on Students’ Experience in the Classroom.” Computer & Education 47 (1): 116–126. doi:https://doi.org/10.1016/j.compedu.2004.09.003.
- Kasat, K., N. Shaikh, M. Chandrachud, and J. R. Saini. 2019. “Impact of Flipped Classroom on Engagement of Post-graduate Students under the Faculty of Social Sciences.” Proceedings of 12th Annual International Conference of education, Research and Innovation (ICERI-2019), 7582–7590. Seville, Spain, November 12–13
- Kearney, M., S. Schuck, P. Aubusson, and P. F. Burke. 2018. “Teachers’ Technology Adoption and Practices: Lessons Learned from the IWB Phenomenon.” Teacher Development 22 (4): 481–496. doi:https://doi.org/10.1080/13664530.2017.1363083.
- Kim, T., Y. K. Suh, G. Lee, and B. G. Choi. 2010. “Modelling Roles of Task-technology Fit and Self-efficacy in Hotel Employees Usage Behaviours of Hotel Information Systems.” International Journal of Tourism Research 12 (6): 709–725. doi:https://doi.org/10.1002/jtr.787.
- Kline, R. B. 2011. Principles and Practice of Structural Equation Modelling. New York: Guilford Press.
- König, J., D. J. Jäger-Biela, and N. Glutsch. 2020. “Adapting to Online Teaching during COVID-19 School Closure: Teacher Education and Teacher Competence Effects among Early Career Teachers in Germany.” European Journal of Teacher Education 43 (4): 608–622. doi:https://doi.org/10.1080/02619768.2020.1809650.
- Lai, K. W. 2008. “ICT Supporting the Learning Process: The Premise, Reality, and Promise.” In International Handbook of Information Technology in Primary and Secondary Education, edited by J. Voogt and G. Knezek, 215–230. Berlin: Springer.
- Liaw, S. S. 2008. “Investigating Students’ Perceived Satisfaction, Behavioral Intention, and Effectiveness of E-learning: A Case Study of the Blackboard System.” Computers & Education 51 (2): 864–873. doi:https://doi.org/10.1016/j.compedu.2007.09.005.
- Limayem, M., and C. M Cheung. 2008. “Understanding Information Systems Continuance: The Case of Internet-based Learning Technologies.” Information & Management 45 (4): 227–232. doi:https://doi.org/10.1016/j.im.2008.02.005.
- Lin, C. S., S. Wu, and R. J. Tsai. 2005. “Integrating Perceived Playfulness into Expectation-confirmation Model for Web Portal Context.” Information & Management 42 (5): 683–693. doi:https://doi.org/10.1016/j.im.2004.04.003.
- Lin, W. S., and C. H. Wang. 2008. “Antecedences to Continued Intentions of Adopting E-learning System in Blended Learning Instruction: A Contingency Framework Based on Models of Information System Success and Task-technology Fit.” Computers & Education 58 (1): 88–99. doi:https://doi.org/10.1016/j.compedu.2011.07.008.
- Lin, W. S. 2012. “Perceived Fit and Satisfaction on Web Learning Performance: IS Continuance Intention and Task-technology Fit Perspectives.” International Journal of Human-Computer Studies 70 (7): 498–507. doi:https://doi.org/10.1016/j.ijhcs.2012.01.006.
- Lu, J., C. S. Yu, C. Liu, and J. E. Yao. 2003. “Technology Acceptance Model for Wireless Internet.” Internet Research 13 (3): 206–222. doi:https://doi.org/10.1108/10662240310478222.
- Mayberry, J., J. Hargis, L. Boles, A Dugas, D. O’Neill, A. Rivera, and M. Meler. 2012. “Exploring Teaching and Learning Using an iTouch Mobile Device.” Active Learning in Higher Education 13 (3): 203–217. doi:https://doi.org/10.1177/1469787412452984.
- Mondal, A., and J. Mete. 2012. “ICT in Higher Education: Opportunities and Challenges.” Institutions 21 (60): 4–9.
- Pituch, K. A, and Y. K. Lee. 2006. “The Influence of System Characteristics on E-learning Use.” Computers & Education 47 (2): 222–244. doi:https://doi.org/10.1016/j.compedu.2004.10.007.
- Roca, J. C., C. M. Chiu, and F. Z. Martínez. 2006. “Understanding E-learning Continuance Intention: An Extension of the Technology Acceptance Model.” International Journal of Human-computer Studies 64 (8): 683–696. doi:https://doi.org/10.1016/j.ijhcs.2006.01.003.
- Rumanyika, J., and R. Galan. 2015. “Challenges for Teaching and Learning Information and Communication Technology Courses in Higher Learning Institutions in Tanzania: A Review.” Information and Knowledge Management 5 (2): 1–12.
- Sarkar, S. 2012. “The Role of Information and Communication Technology (ICT) in Higher Education for the 21st Century.” Science 1 (1): 30–41.
- Sekaran, U. 2003. Research Methods for Business: A Skill Building Approach. 4th ed. New York, NY: John Wiley & Sons.
- Statista. 2020. “Internet Usage in India-Statistics & Facts.” Assessed January 2020. https://www.statista.com/topics/2157/internet-usage-in-india/
- Teo, T., and J. Noyes. 2014. “Explaining the Intention to Use Technology among Pre-service Teachers: A Multi-group Analysis of the Unified Theory of Acceptance and Use of Technology.” Interactive Learning Environments 22 (1): 51–66. doi:https://doi.org/10.1080/10494820.2011.641674.
- Teo, T, W. S. Luan, and C. C. Sing. 2008. “A Cross-cultural Examination of the Intention to Use Technology between Singaporean and Malaysian Pre-service Teachers: An Application of the Technology Acceptance Model (TAM).” Journal of Educational Technology & Society 11 (4): 265–280.
- Tschannen-Moran, M., and A. W. Hoy. 2001. “Teacher Efficacy: Capturing an Elusive Construct.” Teaching and Teacher Education 17 (7): 783–805. doi:https://doi.org/10.1016/S0742-051X(01)00036-1.
- UGC. 2021. “UGC Announces 83 UG, 40 PG SWAYAM Courses For July 2021 Semester.” Accessed 11 July 2021. https://www.ndtv.com/education/ugc-announces-83-ug-40-pg-swayam-courses-for-july-2021-semester
- UNESCO. 2012. “Institute for Information Technologies in Education, ‘ICT in Primary Education: Analytical Survey, Vol. 1: Exploring the Origins, Settings and Initiatives’.”
- UNESCO. 2020. “Education: From Disruption to Recovery.” Accessed 20 May 2020. https://en.unesco.org/covid19/educationresponse
- Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. “User Acceptance of Information Technology: Toward a Unified View.” MIS Quarterly 27 (3): 425–478. doi:https://doi.org/10.2307/30036540.
- Virani, S. R., J. R. Saini, and S. Sharma. 2020. “Adoption of Massive Open Online Courses (MOOCs) for Blended Learning: The Indian Educators’ Perspective.” Interactive Learning Environments 1–17. doi:https://doi.org/10.1080/10494820.2020.1817760.
- Wang, Y. S., and Y. W. Shih. 2009. “Why Do People Use Information Kiosks? A Validation of the Unified Theory of Acceptance and Use of Technology.” Government Information Quarterly 26 (1): 158–165. doi:https://doi.org/10.1016/j.giq.2008.07.001.
- Wong, K. T. 2013. “Understanding Student Teachers’ Behavioural Intention to Use Technology: Technology Acceptance Model (Tam) Validation and Testing.” International Journal of Instruction 6 (1): 89–104.
- Wu, B., and C. Zhang. 2014. “Empirical Study on Continuance Intentions Towards E-Learning 2.0 Systems.” Behaviour & Information Technology 33 (10): 1027–1038. doi:https://doi.org/10.1080/0144929X.2014.934291.
- Wu, J., R. J. Tsai, C. C. Chen, and Y. Wu. 2006. “An Integrative Model to Predict the Continuance Use of Electronic Learning Systems: Hints for Teaching.” International Journal on E-learning 5 (2): 287–302.
- Yim, J. S., C. P. Moses, and A. Azalea. 2019. “Predicting Teachers’ Continuance in a Virtual Learning Environment with Psychological Ownership and the TAM: A Perspective from Malaysia.” Educational Technology Research and Development 67 (3): 691–709. doi:https://doi.org/10.1007/s11423-019-09661-8.
- Zhang, D., L. Zhou, R. O. Briggs, and J. F. Nunamaker. 2006. “Instructional Video in E-learning: Assessing the Impact of Interactive Video on Learning Effectiveness.” Journal of Information & Management 43 (1): 15–27. doi:https://doi.org/10.1016/j.im.2005.01.004.