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Teo, Timothy; Ruangrit, Nammon; Khlaisang, Jintavee; Thammetar, Thapanee; Sunphakitjumnong, Kobkul – Journal of Educational Computing Research, 2014
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…
Descriptors: Foreign Countries, Electronic Learning, College Students, Student Surveys
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Kang, Minseok; Shin, Won sug – Journal of Educational Computing Research, 2015
This study proposes an extended technology acceptance model to predict acceptance of synchronous e-learning by examining relationships among variables associated with factors influencing the technology acceptance of synchronous e-learning. Learners at an online university participated through an online survey; there were 251 respondents in all.…
Descriptors: Foreign Countries, Graduate Students, Student Attitudes, Adoption (Ideas)
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Lu, Jiamei; Li, Daqi; Stevens, Carla; Ye, Renmin – Journal of Educational Computing Research, 2016
Using Program for International Student Assessment (PISA) 2012, an international education database, this study analyzed the evaluations of computer use for academic learning by 15-year-old students from seven Edu-systems (unit in PISA) in Eastern Asia. Six variables were identified in association with students' evaluations of computer use…
Descriptors: Foreign Countries, College Students, Computer Attitudes, Computer Uses in Education
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Samuel, Roy David; Kim, Chanmin; Johnson, Tristan E. – Journal of Educational Computing Research, 2011
The transition from classroom instruction to e-learning raises pedagogical challenges for university instructors. A controlled integration of e-learning tools into classroom instruction may offer learners tangible benefits and improved effectiveness. This design-based research (DBR) study engaged students in e-learning activities integrated into…
Descriptors: Student Attitudes, Self Efficacy, Negative Attitudes, Computers