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Al-Maroof, Rana; Al-Qaysi, Noor; Salloum, Said A.; Al-Emran, Mostafa – Technology, Knowledge and Learning, 2022
Examining the blended learning (b-learning) acceptance is not a new research topic, and it has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) models that are used to study the acceptance of b-learning is regarded as a topic of great importance. To examine these models and afford scholars a holistic view of…
Descriptors: Blended Learning, Information Systems, Models, Holistic Approach
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Rau, Martina A. – Educational Psychology Review, 2020
In most STEM instruction, students interact with visual representations, which can be presented in either in a physical or a virtual mode or in a blended form that combines both modes. While much research has compared the effects of physical and virtual representations on students' learning, the field is far from being able to predict when and why…
Descriptors: Learning Theories, Visual Aids, STEM Education, Blended Learning
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Saqr, Mohammed; Jovanovic, Jelena; Viberg, Olga; Gaševic, Dragan – Studies in Higher Education, 2022
Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…
Descriptors: Meta Analysis, Learning Analytics, Predictor Variables, Correlation
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McGee, Patricia; Valdes, Erin; Bullis, Danica – International Journal on E-Learning, 2016
While online course offerings have steadily risen over the last decade and it is estimated that 32% of college students have taken an online course (Allen & Seaman, 2013), the process of preparing students for blended and online courses has varied and is inconsistent across institutions. Attrition rates for online courses have been…
Descriptors: Blended Learning, Electronic Learning, Online Courses, College Students
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Abrami, Philip C.; Bernard, Robert M.; Wade, Anne; Schmid, Richard F.; Borokhovski, Eugene; Tamim, Rana; Surkes, Michael; Lowerison, Gretchen; Zhang, Dai; Nicolaidou, Iolie; Newman, Sherry; Wozney, Lori; Peretiatkowicz, Anna – Canadian Journal of Learning and Technology, 2006
This review provides a rough sketch of the evidence, gaps and promising directions in e-learning from 2000 onwards, with a particular focus on Canada. The authors searched a wide range of sources and document types to ensure that we represented, comprehensively, the arguments surrounding e-learning. Overall, there were 2,042 entries in their…
Descriptors: Foreign Countries, Electronic Learning, Evidence, Barriers