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Modeling teachers acceptance of learning management system in higher education during COVID ‐19 pandemic: A developing country perspective
Author(s) -
Waris Idrees,
Hameed Irfan
Publication year - 2023
Publication title -
journal of public affairs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 20
eISSN - 1479-1854
pISSN - 1472-3891
DOI - 10.1002/pa.2821
Subject(s) - technology acceptance model , learning management , usability , knowledge management , management system , globe , pandemic , psychology , virtual learning environment , covid-19 , perspective (graphical) , higher education , medical education , business , computer science , engineering , mathematics education , pedagogy , operations management , political science , medicine , disease , pathology , artificial intelligence , infectious disease (medical specialty) , human–computer interaction , neuroscience , law
The ubiquity of the World Wide Web has provided massive opportunities to teachers and learners around the globe to share knowledge anytime anywhere via learning management system. Hence, considering the needs of the students; universities have arranged the facilities of the learning management system. This study is an empirical evaluation of university faculty members' intention to use a learning management system. We extended Davis's (1989) Technology Acceptance Model (TAM) to evaluate faculty members' intention to use learning management system amid COVID‐19. Data were obtained from the faculty members of Pakistani universities through the convenience sampling technique and analyzed using PLS‐SEM. The outcomes of the study revealed that perceived ease of using a learning management system, user‐interface design, and faculty members' innovativeness have a favorable impact on their intention to use learning management system. Facilitating conditions positively influenced intention to use learning management system. However, the positive relationship between facilitating conditions and perceived ease of using the learning management system was insignificant. The results indicate that the extended TAM model has effectively predicted faculty members' intention to use the learning management system. The findings of the current study can be used for the training and development of faculty members by institutions and regulatory bodies in developing countries.