期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：22
出版社：Journal of Theoretical and Applied
摘要：Cooperative learning is an approach of learning that work together in small group to achieve goal together. This method has proven can increase student ability, confident and communication skill. One method of cooperative learning is Jigsaw method. Jigsaw method requires formation in heterogeneous groups, but remains homogeneous between groups. Unfortunately, determination of appropriate group formation according to the method is difficult, especially if the number of students is large. Therefore, this research attempts to propose an algorithm to set heterogeneous group formation of student properly. The right formation can encourage students to learn optimally and able to improve students' understanding well. In this study, the process of grouping students based on student dissimilarity. This paper contributes a group formation algorithm with the Centered-Optimization approach. For comparison, in this study the Centered-Optimization algorithms compared to Centered-Random algorithms. As result, the Centered-Optimization algorithm can provide the highest heterogeneous fitness value. Based on ANOVA Univariate analysis, the fitness value of fixed-root-optimization algorithm is significantly different from the two comparison algorithms.
关键词：Cooperative learning tools; computer science education; e-learning; group formation
