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Does a Robot Tutee Increase Children’s Engagement in a Learning-by-Teaching Situation?

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10498))

Abstract

This paper presents initial attempts to combine a humanoid robot with the teachable agent approach. Several design choices are discussed, including the decision to use a robot instead of a virtual agent and which behaviours to implement in the robot. A pilot study explored how the interaction with a robot seemed to influence children’s engagement as well as their attribution of mental states to a robot and to a virtual agent. Eight children participated and the interaction was measured via an observational protocol and a conversational interview. A main outcome was large individual differences between the children’s interaction with the robot compared to the virtual agent.

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References

  1. Seneca, L.A.: Moral letters to Lucilius I, 7. 8

    Google Scholar 

  2. Chase, C., Chin, D., Oppezzo, M., Schwartz, D.: Teachable agents and the protégé effect: Increasing the effort towards learning. J. of Science Education and Technology 18, 334–352 (2009)

    Article  Google Scholar 

  3. Lindström, P., Gulz, A., Haake, M., Sjödén, B.: Matching and mismatching between pedagogical design principles and actual practices of play. J. of Computer Assisted Learning 27, 90–102 (2011)

    Article  Google Scholar 

  4. Haake, M., Axelsson, A., Clausen-Bruun, M., Gulz, A.: Scaffolding mentalizing via a play-&-learn game for preschoolers. Computers & Education 90, 13–23 (2015)

    Article  Google Scholar 

  5. Werfel, J.: Embodied teachable agents: learning by teaching robots. In Proc. 13th Int. Conf. on Intelligent Autonomous Systems (2013)

    Google Scholar 

  6. Pareto, L.: Robot as tutee. In: Merdan, M., Lepuschitz, W., Koppensteiner, G., Balogh, R. (eds.) Robotics in education. AISC, vol. 457, pp. 271–277. Springer, Cham (2017). doi:10.1007/978-3-319-42975-5_24

    Chapter  Google Scholar 

  7. Lemaignan, S., Jacq, A., Hood, D., Garcia, F., Paiva, A., Dillenbourg, P.: Learning by teaching a robot: The case of handwriting. IEEE Robotics & Automation Magazine 23(2), 56–66 (2016)

    Article  Google Scholar 

  8. Husain, L., Gulz, A., Haake, M.: Supporting Early Math – Rationales and Requirements. J. of Computers in Mathematics and Science Teaching 34(4), 409–429 (2015)

    Google Scholar 

  9. Bartneck, C., Croft, E., Kulic, D.: Measuring the anthropomorphism, animacy, likeability, perceived intelligence and perceived safety of robots. In: Metrics for HRI Workshop, Technical Report, vol. 471, pp. 37–44, March 2008

    Google Scholar 

  10. Lindberg, M.: Design and Influence of a Robot as Teachable Agent in an Educational Game. Master thesis. Lund University (2017)

    Google Scholar 

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Correspondence to Markus Lindberg .

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Lindberg, M., Månsson, K., Johansson, B., Gulz, A., Balkenius, C. (2017). Does a Robot Tutee Increase Children’s Engagement in a Learning-by-Teaching Situation?. In: Beskow, J., Peters, C., Castellano, G., O'Sullivan, C., Leite, I., Kopp, S. (eds) Intelligent Virtual Agents. IVA 2017. Lecture Notes in Computer Science(), vol 10498. Springer, Cham. https://doi.org/10.1007/978-3-319-67401-8_31

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  • DOI: https://doi.org/10.1007/978-3-319-67401-8_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67400-1

  • Online ISBN: 978-3-319-67401-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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