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Evaluating E-Learning Acceptance in Nepal: A Case Study of a Tribhuvan University Affiliated College
International Organization for Migration (IOM).
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0003-1153-1870
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0002-5972-1764
Rekke forfattare: 32024 (engelsk)Inngår i: Journal of business and social sciences research, ISSN 2542-2812, Vol. 9, nr 2, s. 139-156Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In Nepal, Tribhuvan University (TU) introduced a blended e-learning approach by implementing MOODLE, a learning management system. There is a concern of acceptance of e-learning among the students as well as among teachers due to barriers on technological up-to-date, scarcity of resource and technology know-how. The study analysed the perceptions of teachers and students on this change using qualitative methodology, especially empirical phenomenology. The results showed that both teachers and students at sampled one of the TU affiliated colleges, are positive about the e-learning system, but students are more likely to accept it than teachers. Senior teachers from non-ICT backgrounds and part-time teachers were less supportive. The e-learning system was recognised for its benefits, including providing extended learning opportunities, reducing additional burdens, facilitating effective sharing of ideas and knowledge, and enabling new forms of interaction. However, challenges in Nepal, such as inconsistent electricity supply, limited user resources, slow internet connectivity, and insufficient technical support, may hinder its acceptance. Addressing these challenges is crucial for the successful implementation of e-learning in Nepal.

sted, utgiver, år, opplag, sider
2024. Vol. 9, nr 2, s. 139-156
Emneord [en]
blended learning, developing country, e-learning, Moodle, user acceptance, UTAUT
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-237877DOI: 10.3126/jbssr.v9i2.72422OAI: oai:DiVA.org:su-237877DiVA, id: diva2:1927263
Tilgjengelig fra: 2025-01-14 Laget: 2025-01-14 Sist oppdatert: 2025-01-14bibliografisk kontrollert

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