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International Conference on Intelligent Tutoring Systems

ITS 2018: Intelligent Tutoring Systems pp 339–344Cite as

Determining What the Student Understands - Assessment in an Unscaffolded Environment

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10858))

Abstract

Assessment of skills and process knowledge is difficult and quite different from assessing knowledge of content. Many assessment systems use either multiple choice questions or other frameworks that provide a significant amount of scaffolding and this can influence the results. One reason for this is that they are easy to administer and the answers can be automatically graded. This paper describes an assessment tool that does not provide scaffolding (and therefore hints) and yet is able to automatically grade the free form answers through the use of domain knowledge heuristics. The tool has been developed for a tutoring system in the domain of red black trees (a data structure in computer science) and has been evaluated on three semesters of students in a computer science course.

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References

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Author information

Authors and Affiliations

  1. Lafayette College, Easton, PA, 18042, USA

    C. W. Liew & H. Nguyen

Authors
  1. C. W. Liew
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  2. H. Nguyen
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Corresponding author

Correspondence to C. W. Liew .

Editor information

Editors and Affiliations

  1. Université du Québec, Montreal, Québec, Canada

    Roger Nkambou

  2. NCSU, Raleigh, North Carolina, USA

    Roger Azevedo

  3. University of Saskatchewan, Saskatoon, Saskatchewan, Canada

    Julita Vassileva

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© 2018 Springer International Publishing AG, part of Springer Nature

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Cite this paper

Liew, C.W., Nguyen, H. (2018). Determining What the Student Understands - Assessment in an Unscaffolded Environment. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds) Intelligent Tutoring Systems. ITS 2018. Lecture Notes in Computer Science(), vol 10858. Springer, Cham. https://doi.org/10.1007/978-3-319-91464-0_37

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  • DOI: https://doi.org/10.1007/978-3-319-91464-0_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91463-3

  • Online ISBN: 978-3-319-91464-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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