NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Tingting Wang; Juan Zheng; Susanne P. Lajoie – Educational Technology & Society, 2025
Previous studies have confirmed the pivotal roles of student engagement in predicting learning achievements; however, only a few emphasized the patterns of different engagement dimensions within individuals (i.e., co-occurrences of behavioral, cognitive, and emotional engagement). Thus, this study identifies engagement profiles and explores their…
Descriptors: Medical Students, Technology Uses in Education, Educational Technology, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Mengyuan Chen; Lan Wu; Baoping Li; Yang Liu – Educational Technology & Society, 2024
Students in the 21st century are expected to possess the ability to solve ill-defined complex problems (ICPs). One challenge to understanding students' ability to solve ICPs is the lack of methods for measuring noncognitive and metacognitive behaviors and relating those behaviors to cognitive behaviors with the goal of investigating differences in…
Descriptors: Foreign Countries, Elementary School Students, Grade 6, 21st Century Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Tzu-Chi; Hwang, Gwo-Jen; Yang, Stephen Jen-Hwa – Educational Technology & Society, 2013
In this study, an adaptive learning system is developed by taking multiple dimensions of personalized features into account. A personalized presentation module is proposed for developing adaptive learning systems based on the field dependent/independent cognitive style model and the eight dimensions of Felder-Silverman's learning style. An…
Descriptors: Cognitive Style, Experimental Groups, Control Groups, Cognitive Ability