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Identifying Problem Localization in Peer-Review Feedback

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Intelligent Tutoring Systems (ITS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6095))

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Abstract

In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural Language Processing techniques, the learned model significantly outperforms a standard baseline. Our work suggests that it is feasible for future tutoring systems to generate assessments regarding the use of localization in student peer reviews.

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References

  1. Nelson, M.M., Schunn, C.D.: The nature of feedback: how different types of peer feedback affet writing performance. Instructional Science 37, 375–401 (2009)

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  2. Ernst-Gerlach, A., Crane, G.: Identifying quotations in reference works and primary materials. In: Christensen-Dalsgaard, B., Castelli, D., Ammitzbøll Jurik, B., Lippincott, J. (eds.) ECDL 2008. LNCS, vol. 5173, pp. 78–87. Springer, Heidelberg (2008)

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Author information

Authors and Affiliations

  1. University of Pittsburgh,  

    Wenting Xiong & Diane Litman

Authors
  1. Wenting Xiong
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  2. Diane Litman
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Editor information

Editors and Affiliations

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

    Vincent Aleven  & Jack Mostow  & 

  2. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

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© 2010 Springer-Verlag Berlin Heidelberg

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Xiong, W., Litman, D. (2010). Identifying Problem Localization in Peer-Review Feedback. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_93

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  • DOI: https://doi.org/10.1007/978-3-642-13437-1_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13436-4

  • Online ISBN: 978-3-642-13437-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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