Proceedings of the Fuzzy System Symposium
37th Fuzzy System Symposium
Session ID : TD1-3
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Learning support system using multiple agents with different characteristics
*Tetsufumi NakataEmmanuel AyedounMasataka Tokumaru
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Abstract

In recent years, there has been a growing interest in self-actualization. In order to achieve self-actualization, it is necessary to be highly motivated in learning. In this paper, we propose an environment in which learners learn with multiple agents with different characteristics. We propose a learning environment in which learners learn with multiple agents with different characteristics. The learners can take turns giving quizzes to the agents, and the agents can give advice to the learners while observing them solve the quizzes. By using the agents, the learner can perform cooperative learning alone at any time. In addition, by adding a game element to the learning method, we gave the learner an incentive to learn and a goal to cooperate with the agent. In the experiment, we evaluated the proposed system to see if it was useful for learning. As a result, we found that most of the subjects felt that the proposed system facilitated their learning.

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© 2021 Japan Society for Fuzzy Theory and Intelligent Informatics
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