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An Intelligent Tutoring System to Teach Debugging

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Artificial Intelligence in Education (AIED 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7926))

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Abstract

Although several Intelligent Tutoring Systems (ITS) have been built to teach students how to write programs, few focus on teaching students the skills required to debug faulty code. Indeed, outside of general debugging advice, it is also a skill seldom outright taught in the classroom. This paper discusses a web-based ITS to teach introductory level Computer Science students debugging skills, using and teaching case-based reasoning.

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References

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, Lehigh University, 19 Memorial Drive West, Bethlehem, PA, 18015, USA

    Elizabeth Carter & Glenn D. Blank

Authors
  1. Elizabeth Carter
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  2. Glenn D. Blank
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Editor information

Editors and Affiliations

  1. Institute for Creative Technologies, University of Southern California, 12015 Waterfront Dr., 90094, Playa Vista, CA, USA

    H. Chad Lane

  2. School of Information Technologies, University of Sydney, 2006, Sydney, NSW, Australia

    Kalina Yacef

  3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Jack Mostow

  4. Department of Psychology, University of Memphis, 38152, Memphis, TN, USA

    Philip Pavlik

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© 2013 Springer-Verlag Berlin Heidelberg

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Carter, E., Blank, G.D. (2013). An Intelligent Tutoring System to Teach Debugging. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_134

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  • DOI: https://doi.org/10.1007/978-3-642-39112-5_134

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39111-8

  • Online ISBN: 978-3-642-39112-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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