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A Canonicalizing Model for Building Programming Tutors

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Intelligent Tutoring Systems (ITS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7315))

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Abstract

It is difficult to build intelligent tutoring systems in the domain of programming due to the complexity and variety of possible answers. To simplify this process, we have constructed a language-independent canonicalized model for programming solutions. This model allows for much greater overlap across different students than a basic text model, which enables more self-sustaining hint generation methods in programming tutors.

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References

  1. Pears, A., Seidman, S., Malmi, L., Mannila, L., Adams, E., Bennedsen, J., Devlin, M., Paterson, J.: A survey of literature on the teaching of introductory programming. ACM SIGCSE Bulletin 39(4), 204–223 (2007)

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© 2012 Springer-Verlag Berlin Heidelberg

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Rivers, K., Koedinger, K.R. (2012). A Canonicalizing Model for Building Programming Tutors. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_80

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  • DOI: https://doi.org/10.1007/978-3-642-30950-2_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30949-6

  • Online ISBN: 978-3-642-30950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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