協作學習交互分析工具及其案例研究

A Tool for Analyzing Interaction in CSCL and a Case Study

在CSCL领域中，对协作学习过程中的交互进行分析和评价是研究的重点和关键。本文首先回顾了评价协作学习过程的不同方法和相关的支持工具，并指出了这些工具的不足之处。随后，文章结合领域主体、自然语言处理和关联规则挖掘技术，设计并开发了一个兼具智能化和可视化的功能完备的整合性工具VINCA。文章最后以案例展示了该工具如何在协作学习中，有效支持研究者分析交互本文和理解协作学习的过程。

Based on interaction analysis， unveiling the collaborative process is of central importance in CSCL research. This paper firstly reviews the different methods to assess the collaborative process and corresponding supporting tools， and points out the existing weaknesses of such tools. Afterwards， by incorporating the domain ontology， NLP and association rules mining technologies， an integrated toolkit with comprehensive functionalities is designed and implemented to support content analysis with intelligence and visualization. A case study is also conducted to show the functionalities of the tool. The results show that the toolkit is portable， versatile， and effective to assist researchers analyzing the discourse transcripts for enhancing our understanding of the collaborative process.