Grouping Partners for Cooperative Learning Using Genetic Algorithm and Social Network Analysis

被引：17

作者：

Chen, Rong-Chang ^{[1
]}

Chen, Shih-Ying

Fan, Jyun-You

Chen, Yen-Ting ^{[1
]}

机构：

[1] Natl Taichung Inst Technol, Dept Logist Engn & Management, Taichung 404, Taiwan

来源：

2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷

关键词：

grouping; genetic algorithm; social network analysis; cooperative learning;

D O I：

10.1016/j.proeng.2012.01.589

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper employs a novel approach which is based on genetic algorithm (GA) and social network analysis to grouping partners for cooperative learning in the classroom. A social network analysis tool, i.e., sociometry, is used to measure social status of students. Subsequently, GA is used to optimize the grouping subject to the constraints of heterogeneous grades, social status, and gender in different levels. The results from GA are illustrated in the sociogram generated by a sociometry tool. Results show that the proposed approach can optimize the grouping well. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology

引用

页码：3888 / 3893

页数：6

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