Community adaptive educational games

Authors:
Clement Leung;Yuanxi Li;Jiming Liu;Alfredo Milani
Affiliations:
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China;Department of Computer Science, Hong Kong Baptist University, Hong Kong, China;Department of Computer Science, Hong Kong Baptist University, Hong Kong, China;Department of Computer Science, Hong Kong Baptist University, Hong Kong, China and Department of Mathematics and Computer Science, University of Perugia, Italy
Venue:
ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
Year:
2010

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Abstract

This paper presents an adaptive architecture for educational games which are evolved and optimized in order to fulfill the educational goals while reflecting the specific requirements and features of the user community. The approach is based on an online genetic framework where typical genetic operators like crossover and mutation are designed to evolve a population of games, and the online fitness driving the evolution is given by a metric of user behavior/performance, evaluated on the actual community of users. The evolutionary structure adapt can also be applied for continuous game adaptation in dynamical domains where the user community and/or the educational goals are changing over the time.