Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
37th (2023)
Session ID : 3R1-GS-3-02
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Development of a chatbot system based on learning and discussion status in pair work
*Toshiki NISHIOKousuke MOURIYukihiro MATSUBARAMasaru OKAMOTOTakafumi TANAKA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Recently, digital textbook systems and various exercise support systems have been introduced to educational institutions, and research has been conducted to collect and analyze logs in order to improve teaching and learning. In addition, research has been conducted to incorporate group work into exercises in order to prevent differences in the level of understanding in conceptual modeling lectures, and effective pairing methods have been proposed based on the learners' level of understanding. In the previous studies on pairing methods, logs of learning behaviors such as the results of exercises and the status of reading textbooks as well as dialogues were analyzed and surveyed. In this study, we propose a chatbot system that supports learners in preventing the modification of their work and correcting it by incorporating a third party's opinion into the discussion based on the learner's understanding and the discussion situation.

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© 2023 The Japanese Society for Artificial Intelligence
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