Department of Computer Science
Community adaptive educational games
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. © 2011 Springer-Verlag.
community adaptive games, educational game, genetic algorithms
Source Publication Title
New Horizons in Web-Based Learning - ICWL 2010 Workshops: ICWL 2010 Workshops: STEG, CICW, WGLBWS, and IWKDEWL, Shanghai, China, December 7-11, 2010 Revised Selected Papers
Link to Publisher's Edition
Leung, C., Li, Y., Liu, J., & Milani, A. (2010). Community adaptive educational games. New Horizons in Web-Based Learning - ICWL 2010 Workshops: ICWL 2010 Workshops: STEG, CICW, WGLBWS, and IWKDEWL, Shanghai, China, December 7-11, 2010 Revised Selected Papers, 45-54. https://doi.org/10.1007/978-3-642-20539-2_6