Assessing Collaborative Process in CSCL with an Intelligent Content Analysis Toolkit
Assessing Collaborative Process in CSCL with an Intelligent Content Analysis Toolkit
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DOI:
10.1109/icalt.2007.73
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发表时间:
2007-07
期刊:
影响因子:
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通讯作者:
Yanyan Li;Jing Wang;Jian Liao;Dong Zhao;Ronghuai Huang
中科院分区:
文献类型:
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作者:
Yanyan Li;Jing Wang;Jian Liao;Dong Zhao;Ronghuai Huang
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 features. 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.