A canonicalizing model for building programming tutors

  • Authors:
  • Kelly Rivers;Kenneth R. Koedinger

  • Affiliations:
  • Carnegie Mellon University;Carnegie Mellon University

  • Venue:
  • ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
  • Year:
  • 2012

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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.