{"title":"Design fit in gamified online programming learning environment","authors":"Wei-Tsong Wang , Mega Kartika Sari","doi":"10.1016/j.learninstruc.2025.102087","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The strategy for designing online programming learning through a gamified learning environment and its effects on learning outcomes remains a subject of debate.</div></div><div><h3>Objective</h3><div>Using Task-Technology Fit (TTF) theory, this study investigates the impact of design fit on learning programming that supports game characteristics on learning outcomes.</div></div><div><h3>Methods</h3><div>The technique of component-based structural equation modeling was used to examine the research hypotheses.</div></div><div><h3>Results</h3><div>Learning performance is influenced by cognitive load and student perception of TTF. Additionally, task complexity affects students' applicability of learning strategies and perceptions on TTF.</div></div><div><h3>Conclusion</h3><div>The research findings can be used as guidelines for developing gamified online programming learning platforms by considering the features of the learning contexts to enhance students’ learning outcomes.</div></div>","PeriodicalId":48357,"journal":{"name":"Learning and Instruction","volume":"96 ","pages":"Article 102087"},"PeriodicalIF":4.7000,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Learning and Instruction","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959475225000106","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Background
The strategy for designing online programming learning through a gamified learning environment and its effects on learning outcomes remains a subject of debate.
Objective
Using Task-Technology Fit (TTF) theory, this study investigates the impact of design fit on learning programming that supports game characteristics on learning outcomes.
Methods
The technique of component-based structural equation modeling was used to examine the research hypotheses.
Results
Learning performance is influenced by cognitive load and student perception of TTF. Additionally, task complexity affects students' applicability of learning strategies and perceptions on TTF.
Conclusion
The research findings can be used as guidelines for developing gamified online programming learning platforms by considering the features of the learning contexts to enhance students’ learning outcomes.
期刊介绍：
As an international, multi-disciplinary, peer-refereed journal, Learning and Instruction provides a platform for the publication of the most advanced scientific research in the areas of learning, development, instruction and teaching. The journal welcomes original empirical investigations. The papers may represent a variety of theoretical perspectives and different methodological approaches. They may refer to any age level, from infants to adults and to a diversity of learning and instructional settings, from laboratory experiments to field studies. The major criteria in the review and the selection process concern the significance of the contribution to the area of learning and instruction, and the rigor of the study.
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