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Autor/inn/enWang, Wei-Tsong; Kartika Sari, Mega
TitelExamining the Effect of the Task-Technology Fit of Game Mechanisms on Learning Outcomes in Online Gamification Platforms
QuelleIn: Journal of Educational Computing Research, 61 (2024) 8, S.32-59 (28 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Wang, Wei-Tsong)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0735-6331
DOI10.1177/07356331231187285
SchlagwörterGamification; Educational Technology; Design; Cognitive Processes; Difficulty Level; Behavioral Objectives; Student Attitudes; College Students; Foreign Countries; Indonesia
AbstractThe designs of gamification platforms are diverse and constantly evolving. Excessive use of various game mechanisms in learning platforms can distract from the learning process. However, the fit of game mechanisms is still uncertain. Thus, this study investigates the effect of achieving fit when implementing game mechanisms on learning outcomes by applying the well-known task-technology fit theory (TTF). TTF is frequently employed to improve fit between tasks to be completed and the technology applied. The findings indicate that achieving gamification fit can reduce the cognitive load of students and result in enhanced learning performance in terms of learning outcomes. Data collected from 266 participants were analyzed using the technique of the partial least squares to validate the developed research model. The findings of this study can aid educators and educational technology designers in identifying the design mechanisms and characteristics that can be used to ensure design fit on gamification platforms. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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