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Annie: Automated Generation of Adaptive Learner Guidance for Fun Serious Games

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2 Author(s)
Thomas, J.M. ; Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA ; Young, R.M.

This paper describes some of the difficulties inherent in building intelligent educational games, specifically the challenge of integrating pedagogy with core game play. We introduce a plan-based knowledge representation that provides a novel framework for infusing the core mechanics of a game with pedagogical content. We describe, in detail, a system that leverages this framework to dynamically adapt a game to individual learners at runtime.

Published in:

Learning Technologies, IEEE Transactions on  (Volume:3 ,  Issue: 4 )