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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67132
Volume:
10 |
9 |
Sep 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
PG & Research Department of Commerce
Sacred Heart College (Autonomous), Thevara, Kochi
PG & Research Department of Commerce
Sacred Heart College (Autonomous), Thevara, Kochi
The COVID-19 pandemic had a significant impact on practically every country in the world. One of the repercussions of this pandemic was the shutdown of educational institutions to prevent the virus from spreading. The government urged instructors to use a variety of online educational tools to carry out teaching and learning procedures during the pandemic. However, the abrupt change in the nature of education compelled teachers to prepare themselves to deliver online education in an instant. The study aimed at evaluating the relationship that exists between antecedents of behavioral intentions, and how it impact on the usage of E-learning systems in various autonomous colleges. The research contends that content and pedagogy need, self-efficacy, and availability to infrastructure and online resources all influenced individuals' behavioral intents to use e-learning systems. However, the data suggest that self-efficacy is the most powerful factor influencing individuals' behavioral intentions to use e-learning systems in educational institutions, after perceived usefulness and perceived ease of use. The result also implies that easy availability and usage is the one of the main factors that trigger the teaching fraternity to adopt online mode even after the lifting of online classes. Also, the study demonstrates the factors hindering teacher’s from adopting online educational technologies in colleges from e-learning system usage.
KEYWORDS
The study makes important advances in our understanding of how higher education institutions in Cochin City use e-learning technologies. According to the study, self-efficacy has a significant role in enhancing the use of e-learning systems in educational settings. The study's conclusions were found to be compatible with and in agreement with many earlier research that had also concluded that pedagogic needs are important predictors of technology use. According to the study, self-efficacy had the greatest ability to predict behavioural intention-to-use when compared to other characteristics. This finding suggests that, in the context of higher education, self-efficacy is the key behavioural intention component influencing the use of e-learning systems. The main driving force behind the adoption of the online mode, even after the ban on online classes, is its accessibility and ease of use. This shows that when E-learning systems are perceived as being simple to use, people are more likely to use them. The findings show that 25% of respondents believe that a lack of technological resources is the main barrier preventing the implementation of online learning technology. Another key barrier to online education is the lack of institutional infrastructure. 90% of respondents said they planned to employ e-technologies in the teaching and learning process even after the lockdown was lifted. Moodle is the major online educational platform used in most of the institutions as a part of teaching - learning process. The development of technology has made it more difficult for instructors to adapt and incorporate it in the classroom. Teachers face more of a problem when attempting to integrate technology into classroom activities than simply network PCs. The review has revealed aspects that either favourably or negatively influence teachers' usage of ICT in order to successfully integrate ICT into education. Numerous elements at the individual level affect how teachers use ICT. Teachers' attitudes, knowledge, and sentiments affect how they use ICT in the classroom. According to research, teachers' self-efficacy affects whether or not they believe technology is valuable and should be incorporated into the classroom. The adoption and integration of ICT into teaching and learning processes can be simply explained by teachers if they have a positive attitude toward the use of educational technology. On a technical level, in order for ICT to be successfully adopted and integrated into teaching, teachers must believe it to be superior to current practices, consistent with their values, past experiences, and needs, easy to use, and capable of being tested out in small doses before adoption. Finally, the innovation's effects must be evident to others. Even yet, some educators are cautious to switch from a current programme to one they have only learned about through literature and conversation, not from direct observation. These three qualities or aspects of how instructors embrace and incorporate ICT into their instruction give information about the variables that encourage their use of technology as well as the obstacles that stand in the way of ICT integration. Lack of infrastructure and technology is the main factor cited in the studies. Teachers must therefore be convinced that technology may make their instruction more engaging, simple, entertaining for both them and their students, and more motivating.
Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems, 8(4), 211–218. Chang, C. C. (2013). Exploring the determinants of e-learning systems continuance intention in academic libraries. Library Management, 34(1/2), 40–55. Chang, S.-C., & Tung, F.-C. (2008). An empirical investigation of students' behavioural intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71–83. Chen, H. R., & Tseng, H. F. (2012). Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. Evaluation and Program Planning, 35(3), 398–406. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Tabar, M. J. S. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62–78. Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91–112. Huang, E. Y., Lin, S. W., & Huang, T. K. (2012). What type of learning style leads to online participation in the mixed-mode e-learning environment? A study of software usage instruction. Computers & Education, 58(1), 338–349.
Publication Date
9/7/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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