Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Original Papers
A Motivating Robot for Existing e-Learning Systems
Pengfei LYUToshio EISAKA
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2023 Volume 35 Issue 3 Pages 712-719

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Abstract

Although e-Learning has advantages such as individualized and flexible program construction, education quality assurance, its passive and monotony interaction makes it difficult to sustain learning motivation. Recently, social robots taking over entire job functions are attracting a great deal of attention. Most educational robots have been developed for each learning system, intended for infant or elementary education. In this paper, we propose a motivating robot for higher education applicable to existing e-Learning systems. The efficacy of the proposed robot was verified through two-months demonstration experiment.

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© 2023 Japan Society for Fuzzy Theory and Intelligent Informatics
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