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International Conference on Intelligent Tutoring Systems

ITS 2018: Intelligent Tutoring Systems pp 78–87Cite as

Gaze Feedback and Pedagogical Suggestions in Collaborative Learning

Investigation of Explanation Performance on Self’s Concept in a Knowledge Integration Task

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10858))

Abstract

Learning by doing, such as when learners give explanations to peer learners in collaborative learning, is known to be an effective strategy for gaining knowledge. This study used two types of facilitation technology in a simple explanation task to experimentally investigate those influence on the performance of understanding self’s concept during collaborative explanation activity. Dyads were given a topic about cognitive psychology and were required to use two different theoretical concepts, each of which was provided separately to one or the other of them, and explain the topic to each other. Two types of facilitation were examined: (1) use of a pedagogical conversational agent (PCA) and (2) visual gaze feedback using eye-track sensing. The PCA was expected to enable greater support of task-based activity (task-work) and visual gaze feedback to support learner coordination within the dyads (team-work). Results show that gaze feedback was effective when there was no PCA, and the PCA was effective when there was no gaze feedback on explaining self’s concept. This work provides preliminary implications on designing collaborative learning technologies using tutoring agents and sensing technology.

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Acknowledgments

This work was supported by Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number 16K00219.

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Authors and Affiliations

  1. College of Comprehensive Psychology, Ritsumeikan University, 2-150 Iwakura-cho, Ibaraki, Osaka, 567-8570, Japan

    Yugo Hayashi

  2. Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA

    Yugo Hayashi

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  1. Yugo Hayashi
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Correspondence to Yugo Hayashi .

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Editors and Affiliations

  1. Université du Québec, Montreal, Québec, Canada

    Roger Nkambou

  2. NCSU, Raleigh, North Carolina, USA

    Roger Azevedo

  3. University of Saskatchewan, Saskatoon, Saskatchewan, Canada

    Julita Vassileva

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Hayashi, Y. (2018). Gaze Feedback and Pedagogical Suggestions in Collaborative Learning. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds) Intelligent Tutoring Systems. ITS 2018. Lecture Notes in Computer Science(), vol 10858. Springer, Cham. https://doi.org/10.1007/978-3-319-91464-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-91464-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91463-3

  • Online ISBN: 978-3-319-91464-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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