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Exploring e-learning acceptance among university students in Thailand: A national survey
Journal article   Peer reviewed

Exploring e-learning acceptance among university students in Thailand: A national survey

T. Teo, N. Ruangrit, J. Khlaisang, T. Thammetar and K. Sunphakitjumnong
Journal of Educational Computing Research, Vol.50(4), pp.489-506
2014
DOI: https://doi.org/10.2190/EC.50.4.c
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Abstract

This study surveys the e-learning acceptance of university students in Thailand. One thousand nine hundred and eighty-one (1,981) participants completed the E-Learning Acceptance Measure (Teo, 2010) which measures three constructs that predict e-learning acceptance (tutor quality, perceived usefulness, and facilitating conditions). Data analysis was performed using structural equation modeling (SEM). The results of this study showed that the three constructs were significant predictors of e-learning acceptance. Further analysis with MIMIC (multiple indicators, multiple causes) modeling revealed that university students' e-learning acceptance was significantly different by age and perceived technology competence. Younger students and those who perceived themselves to be technologically more competent reported a higher level of e-learning acceptance than older students and those who perceived themselves as less competent in using technology.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#4 Quality Education

Source: InCites

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27 Record Views
12 Times Cited - Web of Science

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
6 Social Sciences
6.3 Management
6.3.368 Technology Acceptance Model
Web Of Science research areas
Education & Educational Research
ESI research areas
Social Sciences, general
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