CSCL中基于数据挖掘的角色分析研究

Data Mining-Based Role Analysis in CSCL

尽管计算机支持的协作学习(CSCL)在理论研究领域和教育实践领域已经取得很大的进展,但协作学习过程中学习者所扮演的角色、所处的地位和特征还不明确。以往在用户角色研究领域大都采用社会网络分析方法,先假设多种类型的用户角色再进行验证。这种方法依赖于主观经验,忽略言论内容本身,导致角色种类有所限制。以"信息技术与教育"和"E-Learning导论"在线课程异步讨论区中的交互言论作为研究对象,通过数据挖掘方法来分析CSCL中的用户角色,发现:在线协作学习过程中一般存在着咨询者、参与讨论者、创新者、贡献者和论证者5种用户角色,但是不同的协作任务中,用户角色种类也有其差异性。数据挖掘有助于帮助研究者发现在线交互的特点。

Although much theoretical and practical progress has been made in Computer Supported Collaborative Learning （CSCL）, the role, position and characteristics of collaborative learners are still not clearly defined. Social network analysis method, which assumes and verifies various kinds of user＇s roles, is widely applied in user＇ role research. This method relies too much on subjective experience, but neglects the actual content, and limits role types. A study is made on the contents in discussion forums of the two courses of Information Technology and Education, and Guide to E-Learning, and the data mining method is applied to analyze CSCL user＇s roles. It is revealed that there are five user roles in CSCL： the question raiser, the discussion participant, the innovator, the contributor and the demonstrator, though difference in role types exists in different collaborative tasks. Data mining can help researchers discover characteristics of online interaction.