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协作学习中协作小组分组系统的设计与开发研究
引用本文:李洁,王咸伟,李克东.协作学习中协作小组分组系统的设计与开发研究[J].华南师范大学学报(自然科学版),2007,1(3):0-0.
作者姓名:李洁  王咸伟  李克东
作者单位:1. 深圳大学信息工程学院,广东深圳,518060
2. 华南师范大学教育信息学院,广东广州,510631
摘    要:根据协作学习中学习者的关键特征类型,以异质分组为原则,设计了适用于计算机网络环境下的自动分组模型,给出了分组算法关键技术,进而采用PHP+Apache+MySQL组合技术开发了协作学习小组分组系统.该系统支持协作小组分组的自动实现,具有自主分组、异质分组、随机分组和同伴关系分组等功能.该系统为协作学习提供了一个自动分组的支撑环境,是CSCL教学和研究的一种有效支持工具.

关 键 词:协作学习    异质分组    学习者特征    分组系统    分组算法
文章编号:1000-5463(2007)03-0062-07
修稿时间:2006-09-14

THE RESEARCH ON DESIGN AND DEVELOPMENT OF COLLABORATIVE GROUP FORMATION SYSTEM IN CSCL
LI Jie,WANG Xian-wei,LI Ke-dong.THE RESEARCH ON DESIGN AND DEVELOPMENT OF COLLABORATIVE GROUP FORMATION SYSTEM IN CSCL[J].Journal of South China Normal University(Natural Science Edition),2007,1(3):0-0.
Authors:LI Jie  WANG Xian-wei  LI Ke-dong
Institution:1. School of Information Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China; 2. School of Educational Information Technology, South China Normal University, Guangzhou 510631, China
Abstract:Computer-Supported Collaborative Learning is based on the learning groups with the help of the computers. Proper method of grouping can promotes cooperation in learning procedure. The different forms of group formation produce different peer relationship and group structure that affect the quality of groups, including initiative, schedule, learning target and learning effect. Based on the students’ characteristics in CSCL, this paper presents the design of Group Formation System for collaborative learning groups in CSCL with the core of group formation the heterogeneous grouping. This paper gives the detailed heuristic algorithms to form groups. Finally,the paper describes the implementation of the system with PHP+Apache+MySQL technology to support the automatic group formation. The system has such functions as involuntary group formation, heterogeneous group formation, random group formation and partnership group formation, and so on. The system can apply to collaborative learning environment for automatic group formation independently and support the implementation and research of CSCL.
Keywords:collaborative learning  heterogeneous group formation  learner characteristic  group formation system  group formation algorithms
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