Journal of Advanced Computational Intelligence and Intelligent Informatics
Online ISSN : 1883-8014
Print ISSN : 1343-0130
ISSN-L : 1883-8014
Regular Papers
Learning Effects of Robots Teaching Based on Cognitive Apprenticeship Theory
Kenya MiyauchiFelix JimenezTomohiro YoshikawaTakeshi FuruhashiMasayoshi Kanoh
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2020 年 24 巻 1 号 p. 101-112

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In recent years, educational support robots that assist learners have attracted attention. The main role of teacher-type robots in previous research has been to teach students how to solve problems and to explain learning material. Under such conditions, students may not learn the material adequately due to their reliance on the support of the robot; this paper utilizes the cognitive apprenticeship theory in order to prevent this problem. The cognitive apprenticeship theory asserts that the support provided to a student should change according to the student’s learning situation. Previous studies have reported that pedagogy based on the cognitive apprenticeship theory can improve students’ learning skills. Therefore, we hypothesize that students’ learning will improve when robots teach them how to solve questions based on the cognitive apprenticeship theory. In this paper, we investigate the learning effects of robot teaching based on the cognitive apprenticeship theory in collaborative learning with junior high-school and university students. The results of this experiment suggest that collaborative learning with robots that employ the cognitive apprenticeship theory improves the learning of high-school and university students.

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