{"title":"Enhancing Flipped Learning With Convergent Feedback: The Impact of GPTutor on Knowledge Construction, Motivation and Engagement in Higher Education","authors":"Hsin-Yu Lee, Pin-Hui Li, Pei-Hua Chen, Yueh-Min Huang, Ting-Ting Wu","doi":"10.1111/ejed.70527","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>While flipped learning promotes active learning in higher education, students often struggle with self-regulation and motivation when facing complex content. Traditional search engines provide divergent feedback that can increase cognitive load and impede learning effectiveness. This study examined the impact of GPTutor, an AI-powered tool integrating ChatGPT and Apple's Shortcuts to provide convergent feedback, on knowledge construction, motivation and engagement. Using a quasi-experimental design, 72 Taiwanese educational technology students were divided into control (Google search) and experimental (GPTutor) groups. ANCOVA and <i>t</i>-tests revealed that GPTutor significantly improved post-test scores (<i>F</i> = 7.99, <i>p</i> < 0.01), intrinsic motivation (<i>t</i> = 2.993, <i>p</i> < 0.01) and reduced amotivation (<i>t</i> = −2.307, <i>p</i> < 0.05). The experimental group also demonstrated higher cognitive, behavioural and emotional engagement (all <i>p</i> < 0.01). The findings suggest that AI-powered convergent feedback can enhance flipped learning effectiveness in higher education, particularly for complex interdisciplinary content.</p>\n </div>","PeriodicalId":47585,"journal":{"name":"European Journal of Education","volume":"61 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2026-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Education","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ejed.70527","RegionNum":3,"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
While flipped learning promotes active learning in higher education, students often struggle with self-regulation and motivation when facing complex content. Traditional search engines provide divergent feedback that can increase cognitive load and impede learning effectiveness. This study examined the impact of GPTutor, an AI-powered tool integrating ChatGPT and Apple's Shortcuts to provide convergent feedback, on knowledge construction, motivation and engagement. Using a quasi-experimental design, 72 Taiwanese educational technology students were divided into control (Google search) and experimental (GPTutor) groups. ANCOVA and t-tests revealed that GPTutor significantly improved post-test scores (F = 7.99, p < 0.01), intrinsic motivation (t = 2.993, p < 0.01) and reduced amotivation (t = −2.307, p < 0.05). The experimental group also demonstrated higher cognitive, behavioural and emotional engagement (all p < 0.01). The findings suggest that AI-powered convergent feedback can enhance flipped learning effectiveness in higher education, particularly for complex interdisciplinary content.
期刊介绍:
The prime aims of the European Journal of Education are: - To examine, compare and assess education policies, trends, reforms and programmes of European countries in an international perspective - To disseminate policy debates and research results to a wide audience of academics, researchers, practitioners and students of education sciences - To contribute to the policy debate at the national and European level by providing European administrators and policy-makers in international organisations, national and local governments with comparative and up-to-date material centred on specific themes of common interest.