A System for Extracting Discussion Circumstances on Social Media to Promote Inexperienced Students Understand Discussion Cases

H. Nakayama, R. Onuma, Kota Chiba, H. Kaminaga, Y. Miyadera, Shoichi Nakamura
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Abstract

Opportunities are increasing for students to conduct discussions in problem-based learning (PBL) while observing discussions on social media. However, they often lack experience in examining actual discussion cases. We aim to develop methods for extracting discussion circumstances on social media to provide them to students so that they can use them as clues to understanding actual discussion cases. Specifically, we extract what kind of topics exist and how utterances are exchanged as discussion circumstances. In this paper, we describe methods for extracting the discussion circumstances and an overview of a support system that we developed. Moreover, we describe an experiment on extracting the circumstances from actual conversation data and discuss the effectiveness of our methods on the basis of the results.
社交媒体讨论情境提取系统,促进无经验学生理解讨论案例
学生在基于问题的学习(PBL)中进行讨论的机会越来越多,同时观察社交媒体上的讨论。然而,他们往往缺乏审查实际讨论案例的经验。我们的目标是开发提取社交媒体上讨论情况的方法,提供给学生,使他们能够将其作为理解实际讨论案例的线索。具体来说,我们提取存在什么样的话题以及话语如何交换作为讨论环境。在本文中,我们描述了提取讨论环境的方法,并概述了我们开发的支持系统。此外,我们描述了一个从实际会话数据中提取情境的实验,并在实验结果的基础上讨论了我们方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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