Community adaptive educational games

Clement H C LEUNG; Yuanxi Li; Jiming LIU; Alfredo Milani

doi:10.1007/978-3-642-20539-2_6

Community adaptive educational games

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

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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.

Original language	English
Title of host publication	New Horizons in Web-Based Learning - ICWL 2010 Workshops
Subtitle of host publication	STEG, CICW, WGLBWS, and IWKDEWL, Revised Selected Papers
Pages	45-54
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-20539-2_6
Publication status	Published - 2011
Event	STEG, CICW, WGLBWS, and IWKDEWL, ICWL 2010 Workshops - Shanghai, China Duration: 7 Dec 2010 → 11 Dec 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6537 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	STEG, CICW, WGLBWS, and IWKDEWL, ICWL 2010 Workshops
Country/Territory	China
City	Shanghai
Period	7/12/10 → 11/12/10

Scopus Subject Areas

Theoretical Computer Science
General Computer Science

User-Defined Keywords

community adaptive games
educational game
genetic algorithms

Access to Document

10.1007/978-3-642-20539-2_6

Cite this

LEUNG, C. H. C., Li, Y., LIU, J., & Milani, A. (2011). Community adaptive educational games. In New Horizons in Web-Based Learning - ICWL 2010 Workshops: STEG, CICW, WGLBWS, and IWKDEWL, Revised Selected Papers (pp. 45-54). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6537 LNCS). https://doi.org/10.1007/978-3-642-20539-2_6

@inproceedings{72d1cb7980f440acbd5ce90f200b1559,

title = "Community adaptive educational games",

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.",

keywords = "community adaptive games, educational game, genetic algorithms",

author = "LEUNG, {Clement H C} and Yuanxi Li and Jiming LIU and Alfredo Milani",

year = "2011",

doi = "10.1007/978-3-642-20539-2_6",

language = "English",

isbn = "9783642205385",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "45--54",

booktitle = "New Horizons in Web-Based Learning - ICWL 2010 Workshops",

}

LEUNG, CHC, Li, Y , LIU, J & Milani, A 2011, Community adaptive educational games. in New Horizons in Web-Based Learning - ICWL 2010 Workshops: STEG, CICW, WGLBWS, and IWKDEWL, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6537 LNCS, pp. 45-54, STEG, CICW, WGLBWS, and IWKDEWL, ICWL 2010 Workshops, Shanghai, China, 7/12/10. https://doi.org/10.1007/978-3-642-20539-2_6

Community adaptive educational games. / LEUNG, Clement H C; Li, Yuanxi ; LIU, Jiming et al.
New Horizons in Web-Based Learning - ICWL 2010 Workshops: STEG, CICW, WGLBWS, and IWKDEWL, Revised Selected Papers. 2011. p. 45-54 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6537 LNCS).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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T1 - Community adaptive educational games

AU - LEUNG, Clement H C

AU - Li, Yuanxi

AU - LIU, Jiming

AU - Milani, Alfredo

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - community adaptive games

KW - educational game

KW - genetic algorithms

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U2 - 10.1007/978-3-642-20539-2_6

DO - 10.1007/978-3-642-20539-2_6

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SN - 9783642205385

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 45

EP - 54

BT - New Horizons in Web-Based Learning - ICWL 2010 Workshops

T2 - STEG, CICW, WGLBWS, and IWKDEWL, ICWL 2010 Workshops

Y2 - 7 December 2010 through 11 December 2010

ER -

LEUNG CHC, Li Y , LIU J, Milani A. Community adaptive educational games. In New Horizons in Web-Based Learning - ICWL 2010 Workshops: STEG, CICW, WGLBWS, and IWKDEWL, Revised Selected Papers. 2011. p. 45-54. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-20539-2_6

Community adaptive educational games

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User-Defined Keywords

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