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

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