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Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
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Shi, Yinghui; Yang, Huiyun; MacLeod, Jason; Zhang, Jingman; Yang, Harrison Hao – Journal of Educational Computing Research, 2020
Technology-enabled active learning environments (TE-ALEs) have attracted considerable research interest, particularly in higher education. However, research shows inconsistent results describing the influence of TE-ALEs toward students' cognitive learning outcomes. This study was designed to identify high-quality empirical research examining…
Descriptors: College Students, Educational Objectives, Active Learning, Technology Uses in Education
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Vogel, Jennifer J.; Vogel, David S.; Cannon-Bowers, Jan; Bowers, Clint A.; Muse, Kathryn; Wright, Michelle – Journal of Educational Computing Research, 2006
Substantial disagreement exists in the literature regarding which educational technology results in the highest cognitive gain for learners. In an attempt to resolve this dispute, we conducted a meta-analysis to decipher which teaching method, games and interactive simulations or traditional, truly dominates and under what circumstances. It was…
Descriptors: Teaching Methods, Educational Technology, Simulation, Computers