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…

This study examines the influences of learners' characteristics on the development of computer self-efficacy using the GOMS (goal, operators, methods, and selection rules) model. Students' learning style, prior computer course experience, and computer self-efficacy were measured in the pretest, and computer self-efficacy was measured in the…