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Mutual Learning for Second Language Education and Language Acquisition of Robots

  • Conference paper
Advances in Autonomous Mini Robots

Abstract

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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Author information

Authors and Affiliations

  1. Tokyo Metropolitan University, Tokyo, Japan

    Akihiro Yorita & Naoyuki Kubota

Authors
  1. Akihiro Yorita
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  2. Naoyuki Kubota
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Corresponding author

Correspondence to Akihiro Yorita .

Editor information

Editors and Affiliations

  1. Centre of Excellence, Cognitronics and Sensor Systems, Cognitive Interaction Technology, Universitaetsstrase 21 – 23, Bielefeld, 33615, Germany

    Ulrich Rückert

  2. , Faculty of Information Technology, Queensland University of Technology, GPO Box 2434, Brisbane, 4001, Queensland, Australia

    Sitte Joaquin

  3. Centre of Excellence, Cognitronics and Sensor Systems, Cognitive Interaction Technology, Universitaetsstrase 21 – 23, Bielefeld, 33615, Germany

    Werner Felix

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Yorita, A., Kubota, N. (2012). Mutual Learning for Second Language Education and Language Acquisition of Robots. In: Rückert, U., Joaquin, S., Felix, W. (eds) Advances in Autonomous Mini Robots. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27482-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-27482-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27481-7

  • Online ISBN: 978-3-642-27482-4

  • eBook Packages: EngineeringEngineering (R0)

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