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Yeo, Jun-Hui; Cho, I.-Hsuan; Hwang, Gwo-Haur; Yang, Hsi-Hsun – Educational Technology Research and Development, 2022
Gender and prior knowledge may affect students' performance and motivation when simulations and games are used for learning. Accommodations should be made for students of different genders and with different levels of prior knowledge. A simulation digital game about the food chain concept geared for elementary school students was developed for…
Descriptors: Gender Differences, Prior Learning, Food, Biology
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Broadbent, Jaclyn; Fuller-Tyszkiewicz, Matthew – Educational Technology Research and Development, 2018
This study examines a person-centered approach to self-regulated learning among 606 University students (140 online, and 466 in blended learning mode). Latent profile analysis revealed five distinct profiles of self-regulated learning: minimal regulators, restrained regulators, calm self-reliant capable regulators, anxious capable collaborators,…
Descriptors: Metacognition, Blended Learning, Online Courses, Profiles
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McNaught, Carmel; Lam, Paul; Cheng, Kin Fai – Educational Technology Research and Development, 2012
This article reports a study of eLearning in 21 courses in Hong Kong universities that had a blended design of face-to-face classes combined with online learning. The main focus of the study was to examine possible relationships between features of online learning designs and student learning outcomes. Data-collection strategies included expert…
Descriptors: Foreign Countries, Electronic Learning, Blended Learning, Internet
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Means, Tammy Babe; And Others – Educational Technology Research and Development, 1997
This study compared the effects of intrinsic relevance with embedded, extrinsic relevance-enhancing strategies based on the ARCS (attention, relevance, confidence, and satisfaction) model of instruction on perceived motivation and the learning outcomes of identification, terminology, comprehension, and drawing. Both intrinsic and extrinsic…
Descriptors: Academic Achievement, Comparative Analysis, Correlation, Higher Education