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Adaptive Peer Review Based on Student Profiles

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Intelligent Tutoring Systems (ITS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4053))

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Abstract

Intelligent tutoring systems cover a wide range of educational processes. However, in the context of peer review methodology, there is no previous work about adaptation of the process according to the student’s profile. In this paper, a methodology for adaptive peer review is introduced. Experimental application of adaptive peer review through two courses allows to confirm pedagogical benefits with actual students’ results.

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Author information

Authors and Affiliations

  1. Departamento de Ingeniería Telemática, Universidad Carlos III de Madrid, Spain

    Raquel M. Crespo García, Abelardo Pardo & Carlos Delgado Kloos

Authors
  1. Raquel M. Crespo García
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  2. Abelardo Pardo
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  3. Carlos Delgado Kloos
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Editor information

Editors and Affiliations

  1. JAIST, 1-1, Asahi-dai, Nomi, 923-1292, Ishikawa, Japan

    Mitsuru Ikeda

  2. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USA

    Kevin D. Ashley

  3. Graduate Institute of Network Learning Technology, National Central University, 300, Jhongda Rd., 32001, Jhongli City,Taoyuan County, Taiwan

    Tak-Wai Chan

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© 2006 Springer-Verlag Berlin Heidelberg

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García, R.M.C., Pardo, A., Kloos, C.D. (2006). Adaptive Peer Review Based on Student Profiles. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_99

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  • DOI: https://doi.org/10.1007/11774303_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35159-7

  • Online ISBN: 978-3-540-35160-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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