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Ulyshen, Tianyi Zhang; Koehler, Matthew J.; Gao, Fei – Journal of Educational Computing Research, 2015
Within the context of exploring an ill-structured task using the Google search engine, this study examined (a) the connections between general epistemic beliefs and the complexity of learners' knowledge exploration processes (i.e., learning complexity) and (b) the role of activating learners' task-oriented epistemic beliefs (i.e., epistemic…
Descriptors: Beliefs, Internet, Online Searching, Learning Processes
Samruayruen, Buncha; Enriquez, Judith; Natakuatoong, Onjaree; Samruayruen, Kingkaew – Journal of Educational Computing Research, 2013
This study identified five effective self-regulated learning (SRL), investigated the correlation of demographic information and SRL, and measured significant predictor of prior experiences on SRL. Eighty-eight Thai learners participated in the SRL survey, which was adapted from the MSLQ. The findings indicated that Intrinsic Goal and Self-Efficacy…
Descriptors: Foreign Countries, Web Based Instruction, Electronic Learning, Internet
Fusilier, Marcelline; Durlabhji, Subhash; Cucchi, Alain – Journal of Educational Computing Research, 2008
National background of users may influence the process of technology acceptance. The present study explored this issue with the new, integrated technology use model proposed by Sun and Zhang (2006). Data were collected from samples of college students in India, Mauritius, Reunion Island, and United States. Questionnaire methodology and…
Descriptors: Foreign Countries, Data Analysis, Internet, Technology Integration
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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