{"title":"The role of AI tools on EFL students’ motivation, self-efficacy, and anxiety: Through the lens of control-value theory","authors":"Shuai Shao","doi":"10.1016/j.lmot.2025.102154","DOIUrl":null,"url":null,"abstract":"<div><div>Incorporating Artificial Intelligence (AI) into education has unveiled changing opportunities, especially for English as a Foreign Language (EFL) learners. Moreover, promoting learner motivation and self-efficacy and minimizing learners' anxiety regarding AI-based education is vital for achieving effective learning results. This study delved into how AI tools affect EFL learners’ motivation, anxiety, and self-efficacy. A total of 168 university learners in two classes participated in this research, 82 were assigned to the experimental group and 86 were assigned to the control group. The cases utilized the AI tool, namely Duolingo, whereas the controls received conventional language teaching. Three scales were used as post-tests and pre-tests. Using One-way Analysis of Covariance (ANCOVA), findings revealed significant improvements in motivation, self-efficacy, and anxiety reduction among the experimental group, while the control group exhibited only minor changes. These results highlight the effectiveness of AI-based language learning in fostering engagement and emotional resilience. This is consistent with the Control-Value Theory (CVT), suggesting that a greater sense of perceived control results in positive educational emotions, resulting in lower anxiety while increasing self-efficacy and motivation. The present research adds to the growing research on AI in language teaching, providing information on the effective integration of AI tools to optimize learner learning, boost motivation, and promote emotional resilience within EFL settings.</div></div>","PeriodicalId":47305,"journal":{"name":"Learning and Motivation","volume":"91 ","pages":"Article 102154"},"PeriodicalIF":1.7000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Learning and Motivation","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S002396902500061X","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, BIOLOGICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Incorporating Artificial Intelligence (AI) into education has unveiled changing opportunities, especially for English as a Foreign Language (EFL) learners. Moreover, promoting learner motivation and self-efficacy and minimizing learners' anxiety regarding AI-based education is vital for achieving effective learning results. This study delved into how AI tools affect EFL learners’ motivation, anxiety, and self-efficacy. A total of 168 university learners in two classes participated in this research, 82 were assigned to the experimental group and 86 were assigned to the control group. The cases utilized the AI tool, namely Duolingo, whereas the controls received conventional language teaching. Three scales were used as post-tests and pre-tests. Using One-way Analysis of Covariance (ANCOVA), findings revealed significant improvements in motivation, self-efficacy, and anxiety reduction among the experimental group, while the control group exhibited only minor changes. These results highlight the effectiveness of AI-based language learning in fostering engagement and emotional resilience. This is consistent with the Control-Value Theory (CVT), suggesting that a greater sense of perceived control results in positive educational emotions, resulting in lower anxiety while increasing self-efficacy and motivation. The present research adds to the growing research on AI in language teaching, providing information on the effective integration of AI tools to optimize learner learning, boost motivation, and promote emotional resilience within EFL settings.
期刊介绍:
Learning and Motivation features original experimental research devoted to the analysis of basic phenomena and mechanisms of learning, memory, and motivation. These studies, involving either animal or human subjects, examine behavioral, biological, and evolutionary influences on the learning and motivation processes, and often report on an integrated series of experiments that advance knowledge in this field. Theoretical papers and shorter reports are also considered.