[1]尹晨.E-Learning协作学习中分组策略研究[J].计算机技术与发展,2012,(12):55-58.
　YIN Chen.Research of Grouping Strategy in E-Learning Collaborative Learning[J].,2012,(12):55-58.
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E-Learning协作学习中分组策略研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年12期
页码:
55-58
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research of Grouping Strategy in E-Learning Collaborative Learning
文章编号:
1673-629X（2012）12-0055-04
作者:
尹晨
南京工业大学信息中心
Author(s):
YIN Chen
Network Information Center, Nanjing University of Technology
关键词:
E-Learning; 协作学习; 分组; 聚类
Keywords:
E-Learning;  collaborative learning;  grouping;  clustering
分类号:
TP311
文献标志码:
A
摘要:
随着多媒体技术和互联网的快速发展，E—Learning作为一种新型的学习方式正在被广泛采纳，协作学习是E—Learning系统中重要的学习机制，合适的分组方式是协作学习顺利展开的前提条件，目前现有的协作学习分组方式大都存在着一些不合理的情况。文中结合南京工业大学“工大教学在线”的实际应用背景，详细分析了协作学习的分组模型，提出一种基于聚类算法的分组方法，并通过实验辅佐证明了此方法能够显著提高E-Learning协作学习的效率，具备较强的实用性和可行性
Abstract:
With the rapid development of multimedia and internet technology,E-Learning is widely adopted as a new way of learning. Collaborative learning is an important mechanism of E-Learning system. Proper method of grouping is a prerequisite for the smooth de velopment＇of collaborative learning. But now most of grouping methods of collaborative learning are unreasonable. So it proposes a new grouping method based on clustering arithmetic under the practical application background of E-Learning in NJUT. This method analyzes the grouping model of collaborative learning in detail, and is proved that it can significantly imProve the efficiency of the collaborative learning with strong practicality and feasibility by means of experiments

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备注/Memo

备注/Memo:
江苏省高校自然科学基金项目（05KJB120041）尹晨（1979-），女，江苏南京人，工程师，从事自动化系统网络信息化的研究
更新日期/Last Update: 1900-01-01