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Information Measures of Knowledge Contribution: A New Method to Measure Knowledge Contribution in Collaborative Knowledge Building: An Information Theory Perspective
Journal of Educational Computing Research ( IF 4.345 ) Pub Date : 2021-02-11 , DOI: 10.1177/0735633121994939
Linjing Wu 1 , Jing Li 1 , Qingtang Liu 1, 2 , Liming He 1 , Weiqing Yang 1 , Yaosheng Zhang 1 , Yun Cheng 3
Affiliation  

The measurement of knowledge contribution in collaborative knowledge building is an important research topic in computer-supported collaborative learning. The information measures of knowledge contribution based on information theory are proposed in this study, which includes two measures: amount of information and information gain. Discourse data collected from a collaborative knowledge building activity were analyzed to validate these measures. The results showed that our information measures can complement the traditional behavioral. With the help of the two measures, community-level variation tendency and individual-level knowledge contribution characteristics could be analyzed in collaborative knowledge building activities. A log function was used to fit the community knowledge variation tendency to measure the convergence of knowledge building. Students were clustered into five types according to their behaviors and contributions in collaborative knowledge building. Both teachers and researchers can benefit from these two information measures by using them in practice.



中文翻译:

知识贡献的信息量度:协作知识构建中测量知识贡献的新方法:信息论视角

协作知识构建中知识贡献的度量是计算机支持的协作学习中的重要研究主题。本文提出了基于信息论的知识贡献的信息测度,包括信息量和信息获取两方面。分析了从协作知识构建活动中收集的话语数据,以验证这些措施。结果表明,我们的信息手段可以补充传统的行为方式。借助这两种措施,可以在协作式知识构建活动中分析社区级别的变化趋势和个人级别的知识贡献特征。使用对数函数来拟合社区知识的变化趋势,以衡量知识构建的趋同性。根据学生的行为和在协作知识构建中的贡献,将他们分为五类。通过在实践中使用这两种信息手段,教师和研究人员都可以从中受益。

更新日期:2021-02-12
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