Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
Proceedings of the 14th Western Canadian Conference on Computing Education
Enhancing the automatic generation of hints with expert seeding
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Program representation for automatic hint generation for a data-driven novice programming tutor
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
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Intelligent tutoring systems have been shown to significantly aid in student learning without requiring extensive instructor intervention. One feature of intelligent tutors is their ability to provide hints to students who get stuck, but the production of hints by hand is prohibitively expensive. Hint Factory (Stamper et al., 2008) is a domain-independent technique for generating hints from interaction graphs. In this work, we explore approaches for creating graphs that represent interactions in an educational programming game called BOTS. We use data from seven programming puzzles that contain a total of 1100 interactions with the game. We believe that we can begin by seeing what works in the small language of a programming game to inform how we can scale the techniques for "real" languages in "real" tutors.