Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7167
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dc.contributor.authorDr. LEE Tin Yun, Philipen_US
dc.contributor.authorLui, Richard Wing Cheungen_US
dc.contributor.authorChau, Michaelen_US
dc.date.accessioned2022-06-20T08:20:04Z-
dc.date.available2022-06-20T08:20:04Z-
dc.date.issued2019-
dc.identifier.citationJournal of Information Systems Education, 2019, vol. 30(3), pp. 167-177.en_US
dc.identifier.issn2574-3872-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7167-
dc.description.abstractSerious games, many of which are multi-player games, have been commonly used in information technology education and training. Competition can be intuitively associated with games; however, it is not always considered as a necessary attribute of serious games. Particularly, the learning impact results of competition are mixed. Challenge and control are two game attributes that are highly relevant to competition. With the use of a multi-player serious game, SEO War, this study aims to explore the relationships among competition, perceived control, perceived challenge, and self-efficacy in a game-based learning environment. Particularly, it investigates whether competition leads to self-efficacy. It also examines whether perceived challenge and perceived control mediate the relationship between competition and self-efficacy in serious games. This study contributes to the expanding literature on selecting important attributes for serious games, and it advances our understanding of the mechanism of how competition leads to self-efficacy. Moreover, it will help game designers decide on important game attributes through which games can be enhanced.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Information Systems Educationen_US
dc.titleHow does competition help future learning in serious games? An exploratory study in learning search engine optimizationen_US
dc.typePeer Reviewed Journal Articleen_US
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Economics and Finance-
Appears in Collections:Applied Data Science - Publication
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