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Approaches to Detecting and Utilizing Play and Learning Styles in Adaptive Educational Games
Vrije Universiteit Brussel.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-5966-992X
2017 (English)In: Computers Supported Education: 8th International Conference, CSEDU 2016, Rome, Italy, April 21-23, 2016, Revised Selected Papers / [ed] Gennaro Costagliola; James Uhomoibhi; Susan Zvacek; Bruce M. McLaren, Cham: Springer, 2017, 336-358 p.Conference paper, Published paper (Refereed)
Abstract [en]

Games have emerged as promising tools to make learning more fun. Pedagogical effectiveness of an educational game can increase if its behavior changes according to learners’ play and learning styles. Several models for categorizing learning and play styles exist, but not many studies simultaneously detect and utilize both style groups. To alleviate this, as the first contribution, we analyzed and compared existing learning and play style models, and chose the most suitable one from each group. Personality style models were also discussed. We then created a questionnaire based on Honey and Mumford’s Learning Style Questionnaire and Bartle’s Player Types, and collected data from 127 South Korean elementary school children. The results indicated that specific play styles were clearly more dominant (Killer 18%, Achiever 24%, Explorer 32%, Socializer 41%), whereas dominant learning styles were distributed more evenly (Activist 33%, Reflector 37%, Theorist 20% and Pragmatist 25%). As the second contribution, we presented the foundations of a generic adaptation model for utilizing learning and play styles for designing adaptive educational games.

Place, publisher, year, edition, pages
Cham: Springer, 2017. 336-358 p.
Series
Communications in Computer and Information Science, ISSN 1865-0929 ; 739
Keyword [en]
Learning styles, Play styles, Personality types, Educational games, Adaptation, Questionnaire
National Category
Interaction Technologies Learning Information Systems, Social aspects Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-64947DOI: 10.1007/978-3-319-63184-4_18Scopus ID: 2-s2.0-85028318602ISBN: 978-3-319-63183-7 (print)ISBN: 978-3-319-63184-4 (electronic)OAI: oai:DiVA.org:ltu-64947DiVA: diva2:1131174
Conference
8th International Conference on Computer Supported Education,Rome, Italy, 21 - 23 April, 2016
Available from: 2017-08-13 Created: 2017-08-13 Last updated: 2017-11-24Bibliographically approved

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Publisher's full textScopushttps://link.springer.com/chapter/10.1007/978-3-319-63184-4_18

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CiteExportLink to record
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Citation style
  • apa
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