| 基于贝叶斯分类的CSCL自动异质分组策略研究 |
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| 引用本文： | 马玉慧,孙双,白滨,马江舰.基于贝叶斯分类的CSCL自动异质分组策略研究[J].现代远距离教育,2008(5):38-40. |
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| 作者姓名： | 马玉慧 孙双 白滨 马江舰 |
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| 作者单位： | 1. 渤海大学,辽宁,锦州,121000
2. 北京师范大学,北京,100875 |
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| 摘 要： | 异质分组是计算机支持的协作学习（CSCL）普遍采用的分组方式。研究表明，异质分组更有利于学生提高协作学习效果。但是目前较少有CSCL系统能够依据学习者个性特征对其成员实现自动异质分组。本文旨在依据学习者个性特征，利用贝叶斯分类方法实现CSCL系统中的自动异质分组。
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| 关 键 词： | CSCL 贝叶斯分类 自动异质分组 个性特征 |
Study on the Strategy of Bayesian Classification of CSCL Automatic Heterogeneous Group |
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| MA Yu-hui,SUN Shuang,BAI Bin,MA Jiang-jian.Study on the Strategy of Bayesian Classification of CSCL Automatic Heterogeneous Group[J].Modern Distance Education,2008(5):38-40. |
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| Authors: | MA Yu-hui SUN Shuang BAI Bin MA Jiang-jian |
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| Institution: | MA Yu - hui, SUN Shuang, BAI Bin, MA Jiang - jian (1. Bohai University, Jinzhou, Liaoning, 121000, China; 2. Beijing Normal University, Beijing, 100875, China) |
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| Abstract: | Heterogeneous groups is generally applied in the computer supported collaborative learning （CSCL）. Heterogeneity in learning groups is said to improve academic performance. However, there is less CSCL system base on the personality of its learners to achieve automatic heterogeneous group. This article based on the personality characteristics of learners, use of Bayesian classification system to achieve CSCL automatic heterogeneous group. |
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| Keywords: | CSCL |
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