Mutual Learning for Second Language Education and Language Acquisition of Robots

Recently, language education has great demand from elementary school to adults. The robot is used as a teaching assistant in Robot-Assisted Language Learning (RALL). It is very effective to use robots for language education. But robots have some problems. One of the problems is to get bored with interacting with robots. This paper discusses the role of robots based on mutual learning in language education. Next we explain the concept of self-efficacy using evaluation for learning condition of robots. We propose a conversation system for language education. The essence of the proposed method is mutual learning of humans and robots. The experimental results show the applicability of the system used for education.

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