互惠学习中的模糊对话分析

Shixiao Yang, T. Chan, J. Heh
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引用次数: 1

摘要

利用模糊集理论分析了互惠教学系统中学习伙伴之间的对话行为。RTS是一个协作学习系统,有两个学习伙伴扮演两个角色:导师和学生。通过交流,这两个学习者分享他们的想法,合作解决编程问题。他们谈话的每个语言句子都属于一个模糊集合,该集合表示不同类型的对话风格。通过对实验数据的处理,可以计算出不同风格的模糊对话向量,并估计出所有的模糊过渡关系,从而找到各种类型的对话路径。因此,学生使用不同的对话风格来表达他们的意图,而不是仅仅使用一种对话模式,学生喜欢问导师“为什么”,让导师找到一些正确的重点。这些结果对研究学生模型和实现一个良好的虚拟学习伙伴也有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy dialog analysis in reciprocal learning
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 likes 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.
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