计算机科学
任务(项目管理)
过程(计算)
基于游戏的学习
认知
教育技术
教学设计
人机交互
多媒体
数学教育
心理学
工程类
操作系统
神经科学
系统工程
作者
Wei‐Tsong Wang,Mega Kartika Sari
标识
DOI:10.1177/07356331231187285
摘要
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.
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