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Rubyric: an online assessment tool for effortless authoring of personalized feedback

Published:06 July 2009Publication History

ABSTRACT

Writing feedback can be very time-consuming on large Computer Science courses. Evolving from years of research on computer-assisted grading tools, we present the Rubyric assessment tool which allows graders to effortlessly construct feedback with reusable phrases. The tool can be used to facilitate the manual assessment of assignments varying from essays to programming projects.

References

  1. T. Ahoniemi, E. Lahtinen, and T. Reinikainen. Improving pedagogical feedback and objective grading. In SIGCSE '08: Proceedings of the 39th SIGCSE technical symposium on Computer science education, pages 72--76, New York, NY, USA, 2008. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. T. Auvinen. Rubyric -- a rubrics-based online assessment tool for effortless authoring of personalized feedback. Master's thesis, Faculty of Information and Natural Sciences, Helsinki University of Technology, March 2009.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        ITiCSE '09: Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
        July 2009
        428 pages
        ISBN:9781605583815
        DOI:10.1145/1562877

        Copyright © 2009 Copyright is held by the owner/author(s)

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 July 2009

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        ITiCSE '09 Paper Acceptance Rate66of205submissions,32%Overall Acceptance Rate552of1,613submissions,34%

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