Transforming EFL Teaching with AI: A Systematic Review of Empirical Studies

International Journal of Artificial Intelligence in Education, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Language: Английский

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Exploring students’ emotions towards programming: Analysing sentiments using concurrent conversion mixed methods

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Abstract Understanding the emotions experienced by programming students, particularly concerning gender and education level, is increasingly critical. However, only limited research has used text data to examine these differences within context of emotions. This study aims determine students’ any based on in secondary higher compare performances algorithms prediction with sentiment analysis. The uses concurrent conversion mixed methods from two groups. first group consisted 444 school students who completed an electronic questionnaire created for this study. second comprised 202 first-year software engineering computer science students. results independent sample t-tests revealed significant enjoyment, anxiety, boredom, hope scores among gender. t-values each category were as follows: enjoyment (t = 2.333, p < .05), anxiety 2.519, boredom 3.841, .01), -3.829, .01). Among middle girls reported compared boys, while their lower. no statistical occurred between females males at levels. Sentiment analysis that BERTurk achieved accuracy than machine learning. BERT produced 96% 92% hope, 97% support vector machines random forest 94% predicting positive negative

Language: Английский

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The role of ChatGPT and grammarly in promoting emotion regulation, psychological well-being, motivation, and academic writing in Chinese college students: A self-determination theory perspective

Learning and Motivation, Journal Year: 2025, Volume and Issue: 90, P. 102131 - 102131

Published: April 19, 2025

Language: Английский

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To be in AI‐integrated language classes or not to be: Academic emotion regulation, self‐esteem, L2 learning experiences and growth mindsets are in focus

British Educational Research Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Abstract This study aimed to investigate whether an artificial intelligence (AI)‐supported learning environment significantly boosts academic emotion regulation, self‐esteem, second language (L2) experiences and growth mindsets among English as foreign (EFL) learners in China. For this purpose, a quasi‐experimental design was employed, involving 120 participants (60 males 60 females) aged 18–25, who were randomly assigned either experimental group (EG) or control (CG). The EG experienced AI‐integrated classes, while the CG received traditional instruction. Pre‐ post‐tests conducted measure key variables, data analysed using analysis of covariance independent samples t ‐tests. Findings documented that demonstrated higher levels L2 compared on post‐tests. These findings underline potential environments positively shape learners' emotional, psychological cognitive outcomes. concludes with important implications for EFL instructors, students policymakers by stressing need develop targeted interventions leveraging AI‐powered technologies support holistic learner development.

Language: Английский

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Dynamic reciprocal associations of AI-assisted L2 writing task emotions in data-driven learning: a dynamic structural equation modeling

Computer Assisted Language Learning, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 30

Published: May 5, 2025

Language: Английский

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