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Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
Assessing Collaborative Process in CSCL with an Intelligent Content Analysis Toolkit
Niigata, Japan
July 18-July 20
ISBN: 0-7695-2916-X
Yanyan Li, Beijing Normal University, China
Jing Wang, Beijing Normal University, China
Jian Liao, Beijing Normal University, China
Donglun Zhao, Beijing Normal University, China
Ronghuai Huang, Beijing Normal University, China
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.
Citation:
Yanyan Li, Jing Wang, Jian Liao, Donglun Zhao, Ronghuai Huang, "Assessing Collaborative Process in CSCL with an Intelligent Content Analysis Toolkit," icalt, pp.257-261, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007
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