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Direct linkAcharya, Anal; Sinha, Devadatta – Journal of Educational Technology Systems, 2018
This study uses homogeneity in personal learning styles and heterogeneity in subject knowledge for collaborative learning group decomposition indicating that groups are "mixed" in nature. Homogeneity within groups was formed using K-means clustering and greedy search, whereas heterogeneity imbibed using agenda-driven search. For checking…
Descriptors: Cooperative Learning, Outcomes of Education, Multiple Regression Analysis, Cognitive Style
The Effects of Learners' Differences on Variable Manipulation Behaviors in Simulation-Based Learning
Liew, Tze Wei; Tan, Su-Mae; Seydali, Rouzbeh – Journal of Educational Technology Systems, 2014
The present study examined the relationship among learners' differences, behaviors in manipulating variables, and learning achievements in a simulation-based program that supports discovery learning in the subject of C-programming algorithm. Participants (n = 66) took the Group Embedded Figures Test, Action Control Scale, and Computer…
Descriptors: Computer Simulation, Individual Differences, Self Efficacy, Student Behavior
Adams, Ruifang Hope; Strickland, Jane – Journal of Educational Technology Systems, 2011
This study investigated the effects of computer-assisted feedback strategies that have been utilized by university students in a technology education curriculum. Specifically, the study examined the effectiveness of the computer-assisted feedback strategy "Knowledge of Response feedback" (KOR), and the "Knowledge of Correct…
Descriptors: Feedback (Response), Control Groups, Technology Education, Experimental Groups
