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Robot-Assisted Language Learning: A Case Study on Interdisciplinary Collaboration Design and Development Process

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Innovative Technologies and Learning (ICITL 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14099))

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Abstract

This study is a case study that focuses on the interdisciplinary collaboration design and development process of a robot-assisted Chinese daily-life measure words learning course, which involves collaboration between three parties: the CSL teachers, the technology experts, and the educational and user experience design experts. We use Technological Pedagogical Content Knowledge (TPACK) and Activity Theory (AT) as the framework to analyze the knowledge of needed and the processes. Cross-disciplinary collaboration is the integration of professional knowledge from different fields. Each field has different perspectives, and the process requires communication, adjustment, and re-adjustment, especially in the conceptual design period. The knowledge and division of labor of each domain can be used as a reference for future cross-disciplinary development teams.

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Author information

Authors and Affiliations

  1. National Quemoy University, Kinmen County, Taiwan R.O.C.

    Hsuan Li

  2. National Taiwan Normal University, Taipei City, Taiwan R.O.C.

    Nian-Shing Chen

Authors
  1. Hsuan Li
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  2. Nian-Shing Chen
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Correspondence to Nian-Shing Chen .

Editor information

Editors and Affiliations

  1. National Cheng-Kung University, Tainan City, Taiwan

    Yueh-Min Huang

  2. University of Trás-os-Montes and Alto Douro, Villa Real, Portugal

    Tânia Rocha

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Li, H., Chen, NS. (2023). Robot-Assisted Language Learning: A Case Study on Interdisciplinary Collaboration Design and Development Process. In: Huang, YM., Rocha, T. (eds) Innovative Technologies and Learning. ICITL 2023. Lecture Notes in Computer Science, vol 14099. Springer, Cham. https://doi.org/10.1007/978-3-031-40113-8_61

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  • DOI: https://doi.org/10.1007/978-3-031-40113-8_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40112-1

  • Online ISBN: 978-3-031-40113-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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