Incorporating customization and personalization into game-based learning: A cognitive style perspective

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Network Learning Technology > journal & Dissertation > Item 987654321/107439

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107439

Title:	Incorporating customization and personalization into game-based learning: A cognitive style perspective
Authors:	陳攸華;Ku, Oskar;Hou, Chi-Chen;Chen, Sherry Y.
Contributors:	資訊電機學院網路學習科技研究所
Keywords:	Cognition & reasoning;Cognitive style;Cognitive styles;Customization;Game-based learning;Games;Learning;Personalization;Studies
Date:	2016-12-01
Issue Date:	2026-04-23 14:12:58 (UTC+8)
Publisher:	Elsevier Ltd.;Elmsford: Elsevier Ltd
Abstract:	摘要： In recent years, customization and personalization were widely applied to accommodate the needs of different cognitive style groups. Such two approaches have different advantages and disadvantages but there is a lack of studies to compare these two approaches from the perspective of game-based learning, which is currently popular in educational settings. To this end, we developed a customized game-based learning system and a personalized game-based learning system and conducted two empirical studies to examine how cognitive styles affected learner's reactions to these two game-based learning systems. The results from the customized game-based learning system showed that Holists might not always favor to listen to music because they frequently switched on/off music. On the other hand, Serialists did not prefer to use hints. In addition, learners with the customized game-based learning system had more positive perceptions while learners with the personalized game-based learning system had more negative perceptions though both systems were useful to enhance learners' learning performance, regardless of their cognitive styles. •We investigated learners' reactions to customized and personalized game-based learning system.•Holists may not always favor to listen to music.•Serialists may not prefer to use hints.•Both customization and personalization were useful to student learning. 出版者： Elmsford: Elsevier Ltd 出版日期： 2016-12 出處： Computers in human behavior, 2016-12, Vol.65, p.359-368 資源來源： ScienceDirect (Elsevier) Journals 版權： 2016 Elsevier Ltd 版權： Copyright Elsevier Science Ltd. Dec 2016 識別號： ISSN: 0747-5632 識別號： EISSN: 1873-7692 識別號： DOI: 10.1016/j.chb.2016.08.040
Appears in Collections:	[Graduate Institute of Network Learning Technology] journal & Dissertation

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