Toward a Taxonomy Linking Game Attributes to Learning: An Empirical Study

Autor/inn/en	Bedwell, Wendy L.; Pavlas, Davin; Heyne, Kyle; Lazzara, Elizabeth H.; Salas, Eduardo
Titel	Toward a Taxonomy Linking Game Attributes to Learning: An Empirical Study
Quelle	In: Simulation & Gaming, 43 (2012) 6, S.729-760 (32 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1046-8781
DOI	10.1177/1046878112439444
Schlagwörter	Taxonomy; Comparative Analysis; Video Games; Computer Games; Computer Simulation; Computer Assisted Instruction; Educational Technology; Instructional Design; Internet; Online Surveys; Questionnaires; Design Requirements; Classification; Training Methods; Expertise; Evaluation Criteria; Definitions; Literature Reviews; Evaluation Methods; Federal Aid; Adults; Educational Games; Instructional Materials; Instructional Effectiveness; Adolescents + Suchen Sie Ihr Suchwort? Taxonomie; Video game; Videospiel; Videospiele; Computer game; Computerspiel; Computerspiele; Computergrafik; Computersimulation; Computer based training; Computerunterstützter Unterricht; Unterrichtsmedien; Lesson concept; Lessonplan; Unterrichtsentwurf; Fragebogen; Design preferences; Gestaltungsmittel; Classification system; Klassifikation; Klassifikationssystem; Didaktik; Trainingsmaßnahme; Expert appraisal; Begriffsbestimmung; Educational game; Lernspiel; Lehrmaterial; Lehrmittel; Unterrichtserfolg; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher
Abstract	The serious games community is moving toward research focusing on direct comparisons between learning outcomes of serious games and those of more traditional training methods. Such comparisons are difficult, however, due to the lack of a consistent taxonomy of game attributes for serious games. Without a clear understanding of what truly constitutes a game, scientific inquiry will continue to reveal inconsistent findings, making it hard to provide practitioners with guidance as to the most important attribute(s) for desired training outcomes. This article presents a game attribute taxonomy derived from a comprehensive literature review and subsequent card sorts performed by subject matter experts (SMEs). The categories of serious game attributes that emerged represent the shared mental models of game SMEs and serve to provide a comprehensive collection of game attributes. In order to guide future serious games research, the existing literature base is organized around the framework of this taxonomy. (Contains 4 tables and 1 figure.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10