ERIC Number: EJ1402089
Record Type: Journal
Publication Date: 2024
Pages: 28
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0735-6331
EISSN: EISSN-1541-4140
Examining the Effect of the Task-Technology Fit of Game Mechanisms on Learning Outcomes in Online Gamification Platforms
Wang, Wei-Tsong; Kartika Sari, Mega
Journal of Educational Computing Research, v61 n8 p32-59 2024
The 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.
Descriptors: Gamification, Educational Technology, Design, Cognitive Processes, Difficulty Level, Behavioral Objectives, Student Attitudes, College Students, Foreign Countries
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Indonesia
Grant or Contract Numbers: N/A