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Park, Enoch; Martin, Florence; Lambert, Richard – Quarterly Review of Distance Education, 2019
The purpose of this study was to identify the potential factors that could predict college students' success in a large-size undergraduate hybrid learning course. Predictive values of students' demographic and academic background variables were examined to establish standardized models of contribution toward final grades. Next, patterns of student…
Descriptors: Predictor Variables, Academic Achievement, Undergraduate Students, Student Participation
Yen, Cherng-Jyh; Abdous, M'hammed – International Journal of Distance Education Technologies, 2011
The confluence of technology convergence, market forces, and student demand for greater access is reshaping higher education institutions. Indeed, the convergence of technological innovations in hardware, software, and telecommunications, combined with the ubiquity of learning management systems, is reconfiguring and strengthening traditional…
Descriptors: Learner Engagement, Blended Learning, Distance Education, Educational Technology
Abdous, M'hammed; Yen, Cherng-Jyh – Internet and Higher Education, 2010
This study was conducted to assess the predictive relationships among delivery mode (DM), self-perceived learner-to-teacher interaction, self-rated computer skill, prior distance learning experience, and learners' satisfaction and outcomes. Participants were enrolled in courses which used three different DMs: face-to-face, satellite broadcasting,…
Descriptors: Distance Education, Interaction, Educational Technology, Predictive Measurement

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