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Assessing Learners’ Reasoning Using Eye Tracking and a Sequence Alignment Method

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10362))

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Abstract

In this paper we aim to assess students’ reasoning in a clinical problem-solving task. We propose to use students’ eye movements to measure the scan path followed while resolving medical cases, and a sequence alignment method, namely, the pattern searching algorithm to evaluate their analytical reasoning. Experimental data were gathered from 15 participants using an eye tracker. We present by using gaze data that the proposed approach can be reliably applied to eye movement sequence comparison. Our results have implications for improving novice clinicians’ reasoning abilities in particular and enhancing students’ learning outcomes in general.

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Acknowledgment

We acknowledge SSHRC (Social Science and Human Research Council) through the LEADS project and NSERC (National Science and Engineering Research Council) for funding this research. Thanks to Issam Tanoubi from the University of Montreal for his collaboration on the experimental design.

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Authors and Affiliations

  1. University of Montreal, Montreal, QC, Canada

    Asma Ben Khedher, Imène Jraidi & Claude Frasson

Authors
  1. Asma Ben Khedher
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  2. Imène Jraidi
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  3. Claude Frasson
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Corresponding author

Correspondence to Asma Ben Khedher .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

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Ben Khedher, A., Jraidi, I., Frasson, C. (2017). Assessing Learners’ Reasoning Using Eye Tracking and a Sequence Alignment Method. In: Huang, DS., Jo, KH., Figueroa-García, J. (eds) Intelligent Computing Theories and Application. ICIC 2017. Lecture Notes in Computer Science(), vol 10362. Springer, Cham. https://doi.org/10.1007/978-3-319-63312-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-63312-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63311-4

  • Online ISBN: 978-3-319-63312-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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