基于案例的推理方法,利用过去的评论作为协作学习的建议

T. Kojiri, Shuto Ohata, Yuki Hayashi
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引用次数: 0

摘要

作为过去积极讨论的触发点的协作学习评论称为讨论促进评论,在言语模式相似的当前讨论情境中同样有效。本研究的目的是构建协作学习的建议系统,利用过去协作学习的讨论促进言论作为建议来解决当前的不适当情况。讨论具有多种特点,因此很难为每一种讨论促进语定义合适的言语模式。本研究采用基于案例的推理方法提取过去的讨论促销员话,以解决当前不恰当的情况。本文描述了实现基于案例的推理系统的两个步骤。首先,介绍了几个表征讨论情况的参数,并附加到过去的讨论促进注释中。其次,基于附加参数构建讨论推广评论数据库作为决策树;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Case-based reasoning approach for utilisation of past remarks as advice for collaborative learning
The collaborative learning remarks that were triggers of the past active discussion, which is called discussion promotion remark, can also be effective in the current discussion situation whose speech patterns are similar. The objective of this research is to construct the advising system for the collaborative learning which utilises discussion promotion remarks of the past collaborative learning as advice to solve current inappropriate situation. Discussion consists of various characteristics, so it is difficult to define appropriate speech pattern for each type of discussion promotion remark. This research introduces case-based reasoning approach to extract past discussion promotion remark which can solve current inappropriate situation. This paper describes two of the steps to accomplish the case-based reasoning system. First, several parameters that characterise the discussion situation are introduced and attached to past discussion promotion remarks. Second, discussion promotion remark database is constructed as a decision tree based on the attached parameters.
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