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EXPLORING E-LEARNING ACCEPTANCE AMONG UNIVERSITY STUDENTS IN THAILAND: A NATIONAL SURVEY.

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Bibliographic Details
Title: EXPLORING E-LEARNING ACCEPTANCE AMONG UNIVERSITY STUDENTS IN THAILAND: A NATIONAL SURVEY.
Authors: TIMOTHY TEO1 timothyteo@umac.mo, NAMMON RUANGRIT2, JINTAVEE KHLAISANG3, THAPANEE THAMMETAR2, KOBKUL SUNPHAKITJUMNONG4
Source: Journal of Educational Computing Research. 2014, Vol. 50 Issue 4, p489-506. 18p. 2 Diagrams, 2 Charts.
Subjects: College students, Online education, College student attitudes, Higher education, Technology Acceptance Model
Geographic Terms: Thailand
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. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
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. [ABSTRACT FROM AUTHOR]
ISSN:07356331
DOI:10.2190/EC.50.4.c