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Article: Player Types in Gamified Learning: Conceptualization, Validation, and Profiling

TitlePlayer Types in Gamified Learning: Conceptualization, Validation, and Profiling
Authors
KeywordsGamification
personalize
player type
profiling
validate
Issue Date15-Apr-2024
PublisherTaylor and Francis Group
Citation
International Journal of Human-Computer Interaction, 2024 How to Cite?
Abstract

Personalized gamification is often considered a superior approach to a one-size-fits-all method. This study addresses three limitations of previous personalized gamification research: (1) conceptual overlap in previous player type models, (2) lack of empirically validated questionnaires, and (3) inadequate profiling methods that only consider the dominant player type. We conducted two interlocking studies. Study One focused on accurately conceptualizing and measuring player types. It synthesized key attributes from previous models and proposed a new model, along with a questionnaire that underwent rigorous development and validation. Study Two focused on comprehensive player type profiling. It employed a new method, cognitive diagnostic models, which produced finer-grained profiles enabling multiple player attributes. Key contributions include a new player type model with five main archetypes, a valid questionnaire for the proposed model, and a feasible method for player type profiling. These contributions advance our understanding of player types and facilitate future personalized gamification practices.


Persistent Identifierhttp://hdl.handle.net/10722/348053
ISSN
2023 Impact Factor: 3.4
2023 SCImago Journal Rankings: 1.025

 

DC FieldValueLanguage
dc.contributor.authorXiao, Ya-
dc.contributor.authorChen, Xueliang-
dc.contributor.authorJin, Yi-
dc.contributor.authorHew, Khe Foon-
dc.date.accessioned2024-10-04T00:31:09Z-
dc.date.available2024-10-04T00:31:09Z-
dc.date.issued2024-04-15-
dc.identifier.citationInternational Journal of Human-Computer Interaction, 2024-
dc.identifier.issn1044-7318-
dc.identifier.urihttp://hdl.handle.net/10722/348053-
dc.description.abstract<p>Personalized gamification is often considered a superior approach to a one-size-fits-all method. This study addresses three limitations of previous personalized gamification research: (1) conceptual overlap in previous player type models, (2) lack of empirically validated questionnaires, and (3) inadequate profiling methods that only consider the dominant player type. We conducted two interlocking studies. Study One focused on accurately conceptualizing and measuring player types. It synthesized key attributes from previous models and proposed a new model, along with a questionnaire that underwent rigorous development and validation. Study Two focused on comprehensive player type profiling. It employed a new method, cognitive diagnostic models, which produced finer-grained profiles enabling multiple player attributes. Key contributions include a new player type model with five main archetypes, a valid questionnaire for the proposed model, and a feasible method for player type profiling. These contributions advance our understanding of player types and facilitate future personalized gamification practices.</p>-
dc.languageeng-
dc.publisherTaylor and Francis Group-
dc.relation.ispartofInternational Journal of Human-Computer Interaction-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectGamification-
dc.subjectpersonalize-
dc.subjectplayer type-
dc.subjectprofiling-
dc.subjectvalidate-
dc.titlePlayer Types in Gamified Learning: Conceptualization, Validation, and Profiling-
dc.typeArticle-
dc.identifier.doi10.1080/10447318.2024.2338664-
dc.identifier.scopuseid_2-s2.0-85190960198-
dc.identifier.eissn1532-7590-
dc.identifier.issnl1044-7318-

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