Fuzzy dialog analysis in reciprocal learning

S. S. Yang, T. W. Chan, J. S. Heh

Research output: Contribution to conferencePaperpeer-review


The dialog behavior between two learning companions in RTS (Reciprocal Tutoring System) is analyzed through fuzzy set theory. RTS is a collaborative learning system with two learning companions playing two roles: tutor and tutee. By communication, these two learners share their ideas and solve programming exercises cooperatively. Each linguistic sentence of their talks belongs to a fuzzy set that indicates different-kinds of dialog style. Through processing the experimental data, the fuzzy dialog vectors of different styles can be calculated and all the fuzzy transition relations can also be estimated to find out all kinds of dialog path. As results, students use different dialog styles to express their intention, instead of just using one dialog mode and tutee tikes to ask tutor ″Why″ to make tutor find some correct key point. All these results can also be useful in studying student model and implementing a good virtual learning companion.

Original languageEnglish
Number of pages7
StatePublished - 1996
EventProceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan
Duration: 11 Dec 199614 Dec 1996


ConferenceProceedings of the 1996 Asian Fuzzy Systems Symposium
CityKenting, Taiwan


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