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Link to original content: https://doi.org/10.1007/978-3-319-07221-0_38
Data-Driven Program Synthesis for Hint Generation in Programming Tutors | SpringerLink
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Data-Driven Program Synthesis for Hint Generation in Programming Tutors

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Intelligent Tutoring Systems (ITS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8474))

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Abstract

One of the main functions of intelligent tutoring systems is providing feedback to help students solve problems. We present a novel approach to program synthesis that can be used as a basis for automatic hint generation in programming tutors. Instead of using a state-space representation of the problem-solving process, our method finds a set of textual edits commonly used by students on program code. Given an incorrect program it then synthesizes new programs by applying sequences of edits until a solution is found. The edit sequence can be used to provide hints with varying levels of detail. Experimental results confirm the feasibility of our approach.

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References

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Author information

Authors and Affiliations

  1. Faculty of Computer and Information Science, University of Ljubljana, Slovenia

    Timotej Lazar & Ivan Bratko

Authors
  1. Timotej Lazar
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  2. Ivan Bratko
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Editor information

Editors and Affiliations

  1. Computer Science Department, University Politehnica of Bucharest, Splaiul Independentei 313, 060042, Bucharest, Romania

    Stefan Trausan-Matu

  2. North Carolina State University, 890 Oval Dr., Campus Box 8206, 27695-8206, Raleigh, NC, USA

    Kristy Elizabeth Boyer

  3. Department of Information and Computer Sciences, University of Hawaii, 1680 East-West Road, POST 317, 96822, Honolulu, HI, USA

    Martha Crosby

  4. Neoanalysis Ltd., Marni 56, 10437, Athens, Greece

    Kitty Panourgia

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© 2014 Springer International Publishing Switzerland

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Lazar, T., Bratko, I. (2014). Data-Driven Program Synthesis for Hint Generation in Programming Tutors. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, vol 8474. Springer, Cham. https://doi.org/10.1007/978-3-319-07221-0_38

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  • DOI: https://doi.org/10.1007/978-3-319-07221-0_38

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07220-3

  • Online ISBN: 978-3-319-07221-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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