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Li, Kun; Li, Yanju; Franklin, Teresa – Journal of Educational Computing Research, 2016
This study examined four factors that influence preservice teachers' intentions to adopt technology in classrooms based on the Theory of Planned Behavior and Technology Acceptance Model. These four factors--technology self-efficacy, attitudes toward technology, perceived ease of use of technology, and perceived barriers of technology…
Descriptors: Preservice Teachers, Teaching Models, Technology Integration, Teacher Attitudes
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Friedrich, Helmut Felix; Hron, Aemilian – Journal of Educational Computing Research, 2010
The present study aims at investigating which factors are significant for pupils' acceptance of an E-Learning system introduced into secondary schools. The E-Learning system consisted of interactive learning modules for several school subjects and a Learning Management System (LMS). Research on IT acceptance and attitudes guided the specification…
Descriptors: Electronic Learning, Secondary Schools, Management Systems, Self Efficacy
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Lee, Chun-Hsiung; Yeh, Dowming; Kung, Regina J.; Hsu, Chin-Shan – Journal of Educational Computing Research, 2007
This study mainly investigates the factors affecting the learning effects in a blended e-Learning course for Mathematics. The research targets of this study are 48 junior high school students. After they had received traditional lessons in class as well as the accompanied e-Learning lessons, the influences of their learning portfolios and learning…
Descriptors: Portfolios (Background Materials), Multiple Regression Analysis, Data Analysis, Gender Differences
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Hefford, Nigel A.; Keef, Stephen P. – Journal of Educational Computing Research, 2004
This analysis of gender performance differences in a first-level New Zealand university course in computer science is predicated on the model of academic ability proposed by Charles Spearman, the eminent educational psychologist and statistician. The regression model is based on the theoretical constructs of general academic ability and specific…
Descriptors: Foreign Countries, Academic Ability, Multiple Regression Analysis, Evaluation Methods