Community adaptive educational games

Clement H C LEUNG*, Yuanxi Li, Jiming LIU, Alfredo Milani

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review


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.

Original languageEnglish
Title of host publicationNew Horizons in Web-Based Learning - ICWL 2010 Workshops
Subtitle of host publicationSTEG, CICW, WGLBWS, and IWKDEWL, Revised Selected Papers
Number of pages10
Publication statusPublished - 2011
EventSTEG, CICW, WGLBWS, and IWKDEWL, ICWL 2010 Workshops - Shanghai, China
Duration: 7 Dec 201011 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6537 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceSTEG, CICW, WGLBWS, and IWKDEWL, ICWL 2010 Workshops

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • community adaptive games
  • educational game
  • genetic algorithms


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