Computer-Supported Content Analysis for Collaborative Knowledge Building in CSCL

نویسندگان

  • Jian Liao
  • Yanyan Li
  • Ying Zhou
  • Ronghuai Huang
  • Jingjing Wang
چکیده

Interaction analysis plays an important role in computer-supported collaborative learning. This paper proposes an interaction analysis model CSCAC composed of three dimensions: group building level, member contribution, member support, which lays the foundation for interaction content analysis. Based on the model and domain ontology, this paper explores the text mining and semantic analysis technologies to automatically analyze the interaction content for collaborative knowledge building. An experiment is conducted to compare the auto-analysis result with that of manual analysis, which shows the the proposed approach is feasible and effective mostly to automatically analyze the interaction content in CSCL.

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تاریخ انتشار 2006