Abstract
Internet-based virtual learning environments allow participants to refine their knowledge by interacting with their peers. Besides, they offer ways to escape from the isolation seen in the CAI and ITS systems. However, simply allowing participants to interact is not enough to eliminate the isolation feeling and to motivate students. Recent research in Computer Supported Collaborative Learning has been investigating ways to minor the above problems. This paper presents the OXEnTCHÊ–Chat, a chat tool coupled with an automatic dialogue classifier which analyses on-line interaction and provides just-in-time feedback to both instructors and learners. Feedback is provided through reports, which can be user-specific or about the whole dialogue. The tool also counts on a chatterbot, which plays the role of an automatic coordinator. The implemented prototype of OXEnTCHÊ–Chat has been evaluated and the obtained results are very satisfactory.
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Vieira, A.C., Teixeira, L., Timóteo, A., Tedesco, P., Barros, F. (2004). Analyzing On-Line Collaborative Dialogues: The OXEnTCHÊ–Chat . In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2004. Lecture Notes in Computer Science, vol 3220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30139-4_30
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DOI: https://doi.org/10.1007/978-3-540-30139-4_30
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