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International Conference on Intelligent Tutoring Systems

ITS 2016: Intelligent Tutoring Systems pp 48–58Cite as

Informing Authoring Best Practices Through an Analysis of Pedagogical Content and Student Behavior

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9684))

Abstract

Among other factors, student behavior during learning activities is affected by the pedagogical content they are interacting with. In this paper, we analyze this effect in the context of a problem-solving based online Physics course. We use a representation of the content in terms of its position, composition and visual layout to identify eight content types that correspond to problem solving sub-tasks. Canonical examples as well as a sequence model of these tasks are presented. Student behaviors, measured in terms of activity, help-requests, mistakes and time on task, are compared across each content type. Students request more help while working through complex computational tasks and make more mistakes on tasks that apply conceptual knowledge. We discuss how these findings can inform the design of pedagogical content and authoring tools.

This research was funded by the US Office of Naval Research (ONR) contracts N00014-12-C-0535 and N00014-16-C-0643

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Author information

Authors and Affiliations

  1. Raytheon BBN Technologies, Cambridge, MA, USA

    Matthew Roy & Rohit Kumar

Authors
  1. Matthew Roy
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  2. Rohit Kumar
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Corresponding author

Correspondence to Rohit Kumar .

Editor information

Editors and Affiliations

  1. Roma Tre University , Rome, Italy

    Alessandro Micarelli

  2. Carnegie Mellon University , Pittsburgh, Pennsylvania, USA

    John Stamper

  3. Neoanalysis Ltd , Athens, Greece

    Kitty Panourgia

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© 2016 Springer International Publishing Switzerland

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Roy, M., Kumar, R. (2016). Informing Authoring Best Practices Through an Analysis of Pedagogical Content and Student Behavior. In: Micarelli, A., Stamper, J., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2016. Lecture Notes in Computer Science(), vol 9684. Springer, Cham. https://doi.org/10.1007/978-3-319-39583-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-39583-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39582-1

  • Online ISBN: 978-3-319-39583-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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