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Towards Embodied Wearable Intelligent Tutoring Systems

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Augmented Intelligence and Intelligent Tutoring Systems (ITS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13891))

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Abstract

Embodied cognition posits that human-environment interaction positively impacts thinking and learning, making it a valuable pedagogical tool. Technology in teaching and learning has seen tremendous maturation, such as the development of Intelligent Tutoring Systems (ITS). However, most ITS provide static learning experiences that do not incorporate embodiment, movement, and interaction with the space around the learner. This paper examines the results of using an embodied tutoring system across three case studies with different dimensions of embodiment. In all cases, we found trends highlighting how embodied tutoring systems can support learning. We also discuss different ways to incorporate embodiment into future research on ITS.

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Notes

  1. 1.

    WearableLearning: http://wearablelearning.org/.

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Author information

Authors and Affiliations

  1. University of Massachusetts Amherst, Amherst, USA

    Injila Rasul, Francisco Castro & Ivon Arroyo

Authors
  1. Injila Rasul
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  2. Francisco Castro
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  3. Ivon Arroyo
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Corresponding author

Correspondence to Injila Rasul .

Editor information

Editors and Affiliations

  1. University of Montreal, Montreal, Canada

    Claude Frasson

  2. University of West Attica, Athens, Greece

    Phivos Mylonas

  3. University of West Attica, Athens, Greece

    Christos Troussas

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Rasul, I., Castro, F., Arroyo, I. (2023). Towards Embodied Wearable Intelligent Tutoring Systems. In: Frasson, C., Mylonas, P., Troussas, C. (eds) Augmented Intelligence and Intelligent Tutoring Systems. ITS 2023. Lecture Notes in Computer Science, vol 13891. Springer, Cham. https://doi.org/10.1007/978-3-031-32883-1_26

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  • DOI: https://doi.org/10.1007/978-3-031-32883-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-32882-4

  • Online ISBN: 978-3-031-32883-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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