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Enhancing the Automatic Generation of Hints with Expert Seeding

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IJAIE Volume 21, Number 1, ISSN 1560-4292


The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation process. We show that just a few expert solutions give significant coverage (over 50%) for hints. This seeding method greatly speeds up the time needed to reliably generate hints. We discuss how this feature can be integrated into the Hint Factory and some potential pedagogical issues that the expert solutions introduce. (Contains 9 tables and 5 figures.)


Stamper, J., Barnes, T. & Croy, M. (2011). Enhancing the Automatic Generation of Hints with Expert Seeding. International Journal of Artificial Intelligence in Education, 21(1), 153-167. Retrieved February 24, 2020 from .

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