Document Type
Conference Paper
Department/Unit
Department of Computer Science
Title
Community adaptive educational games
Language
English
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. © 2011 Springer-Verlag.
Keywords
community adaptive games, educational game, genetic algorithms
Publication Date
2010
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
Start Page
45
End Page
54
Conference Location
Shanghai, China
Publisher
Springer
DOI
10.1007/978-3-642-20539-2_6
Link to Publisher's Edition
http://dx.doi.org/10.1007/978-3-642-20539-2_6
ISBN (print)
9783642205385
ISBN (electronic)
9783642205392
Recommended Citation
Leung, Clement, Yuanxi Li, Jiming Liu, and Alfredo Milani. "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 (2010): 45-54.