A latent growth curve modeling of Chinese EFL learners’ emotional fluctuations in AI-mediated L2 education: is positivity or negativity on the rise?

Innovation in Language Learning and Teaching, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Jan. 1, 2025

The role of artificial intelligence (AI) tools in promoting different aspects second language (L2) education has recently obtained increasing attention. However, there is insufficient evidence about the contribution AI-mediated L2 instruction to English as a foreign (EFL) learners' positive and negative emotions. To address gap, this study conducted latent growth curve modeling (LGCM) analysis find out changes 350 Chinese EFL classroom engagement enjoyment. Two questionnaires were used collect data at points semester that was taught through AI tools. results showed both enjoyment significantly increased learners over time. While grew steadily participants, rate not equal among them. Furthermore, it found student had going-togetherness time, from beginning end course. are discussed implications for adoption classes provided teachers teacher educators.

Language: Английский

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Developing and Validating a Scale of Artificial Intelligence Anxiety Among Chinese EFL Teachers

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Jan. 7, 2025

ABSTRACT As artificial intelligence (AI) technology continues to advance, its influences across various industries have grown, leading increasing levels of anxiety, including that in education. Nonetheless, terms current knowledge, the literature lacks a valid scale measure AI anxiety among EFL teachers, particularly university teachers. Moreover, underlying dimensions this construct yet be clarified. Against these gaps, study aims develop and validate assess teachers China. We used qualitative interviews quantitative surveys combined identify key In so doing, 251 Chinese completed newly designed scale. The result exploratory factor analyses indicated five 21 items questionnaire. Five were identified: technical proficiency, job displacement, technological support, student experience research development. Next, another 415 participated validating confirmatory analysis demonstrated strong reliability, validity an acceptable model fit. This new provides useful tool for assessing highlights unique challenges they face adapting AI, offering basis future targeted support.

Language: Английский

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Application of artificial intelligence tools in foreign language teaching: A theoretical review

Philology Theory & Practice, Journal Year: 2025, Volume and Issue: 18(1), P. 384 - 392

Published: Jan. 31, 2025

The paper presents a review of foreign English-language and Russian scientific pedagogical literature, seeking to consider the pressing problems application artificial intelligence tools in modern language education. analyses potential, prospects implementing sphere teaching. novelty lies identifying most significant research tasks promising directions this area. As result, works 2021-2024 on subject under consideration are analyzed, described.

Language: Английский

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Investigating the Role of AI Tools in Enhancing Translation Skills, Emotional Experiences, and Motivation in L2 Learning

European Journal of Education, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

ABSTRACT The integration of artificial intelligence (AI) in L2 teaching and learning is poised to revolutionise educational practices by enhancing both instructional methods language development for learners. This study employed a mixed‐methods design comprehensively examine the impact AI tools, machine translation systems, traditional approaches on students' accuracy, emotions, motivation. A total forty‐nine undergraduate English majors were divided into three groups: Group (AIG; N = 16) using group (MTG; 20) (TG; 13) manual methods. Participants completed four tasks with varying levels linguistic complexity, their performance was evaluated quantitative metrics such as meaning retention, grammatical correctness, fluency, naturalness. Additionally, semi‐structured interviews conducted gather qualitative insights participants' emotional motivational experiences. Quantitative data analysis included Kruskal‐Wallis test assess differences amongst groups, revealing that AIG students achieved highest accuracy. Qualitative thematic interview indicated emotions curiosity, anxiety, excitement prevalent across all groups. While tools fostered motivation MTG, some participants expressed concerns about over‐reliance technology leading reduced engagement. These findings highlight AI's dual role accuracy shaping dynamics learners, suggesting its should be balanced optimise outcomes.

Language: Английский

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What Deserve Studying the Most? A Q‐Methodology Approach to Explore Stakeholders' Perspectives on Research Priorities in GenAI‐Supported Second Language Education

European Journal of Education, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 27, 2024

ABSTRACT Recently, there has been a significant increase in research on Generative Artificial Intelligence (GenAI) the domain of second language (L2) education. Given limited resources, it is essential for GenAI to focus key areas. However, still uncertainty about which topics should be prioritised. Research priorities are often shaped by individual researchers' personal interests, can skew many studies. Additionally, stakeholder perspectives these vary widely. Therefore, this study employs Q methodology reveal consensus among different groups. To end, total 19 participants, including six researchers, teachers and seven students, engaged Q‐sort exercise involving 34 statements. Through KADE software, subsequent Centroid Factor Analysis varimax rotation were used extract patterns. The analysis revealed three common across groups: psychological factors multiple scenarios measurement improvement L2 competence. These findings provide valuable insights that inform refine agendas education, optimising allocation resources.

Language: Английский

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A longitudinal analysis of physical exercise in shaping language learners’ emotional well-being: a comparative analysis between L1 and L2 students

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 16, 2025

Students' psychological wellness is one of the key elements that improve their well-being and shape academic progress in realm language learning. Among various strategies, physical exercise emerges as an effective approach, allowing learners to manage emotions considerably. Employing a quasi-experimental research design, this study examines impact three-month running intervention on emotional regulation behaviors among L1 (Arabic language) L2 (English foreign learning) students. Data was collected at three (pre-test, mid-test, post-test) intervals, focusing cognitive reappraisal (CR) expressive suppression (ES) constructs regulation. The results showed abilities both groups were considerably impacted by exertion differed significantly, with students' CR skills significantly improving ES decreasing over time. However, no significant interaction effect between time (L1 L2) groups' observed, suggesting universally benefits regardless learning context. Conversely, observed ES, students experiencing more reduction compared counterparts, highlighting unique challenges faced effectiveness activity mitigating these challenges. highlight importance enhancing students, particularly second Given this, regular programs should be incorporated into educational curricula support success. It further offers insightful recommendations for teachers, administrators, policymakers optimize integration higher education.

Language: Английский

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Modelling College Students' Acceptance to Use Generative Artificial Intelligence for Second Language Learning: A Theory of Planned Behaviour Perspective

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Jan. 17, 2025

ABSTRACT The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners willing to adopt the technology. This study, grounded Theory Planned Behaviour (TPB), investigated factors influencing behavioural intention use GenAI among 337 Chinese college L2 using five validated scales. A Structural Equation Modelling (SEM) approach with Amos 24 yielded several key findings. Notably, demographic encompassing gender and age did not significantly affect TPB components. Subjective norm attitude were found have a positive significant impact on intention, while perceived control demonstrate effect. Furthermore, literacy emerged as predictor both directly indirectly through its influence attitude. Collectively, variables accounted for 51.6% variance intention. study also discusses theoretical pedagogical implications offers suggestions future research.

Language: Английский

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Secondary school English teachers’ application of artificial intelligence-guided chatbot in the provision of feedback on student writing: An activity theory perspective

Journal of Second Language Writing, Journal Year: 2025, Volume and Issue: 67, P. 101179 - 101179

Published: Jan. 30, 2025

Language: Английский

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Unboxing the intersections between self‐esteem and academic mindfulness with test emotions, psychological wellness and academic achievement in artificial intelligence‐supported learning environments: Evidence from English as a foreign language learners

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

Published: Feb. 22, 2025

Abstract The integration of artificial intelligence (AI) into language education is rapidly transforming English as a foreign (EFL) learning environments, presenting both opportunities and challenges. While AI‐supported tools offer potential benefits, they can also trigger complex test‐related emotions that may impact learners’ psychological academic well‐being. Therefore, understanding the interplay between internal resources like self‐esteem mindfulness, alongside these emotions, becomes crucial. This study investigated correlations mindfulness with test well‐being achievement among EFL learners in contexts China. To meet this purpose, quantitative approach was employed, using data collected from sample 305 university students (155 males 150 females) China selected through stratified random sampling. analysis conducted via confirmatory factor structural equation modelling SMART PLS software. results indicated were strong predictors wellness achievement. Higher levels linked to higher These findings stress necessity incorporating socio‐emotional skills AI‐enhanced learning, considering students’ when deploying AI designing interventions address emotional challenges within environments.

Language: Английский

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‘‘If ChatGPT can do it, where is my creativity?’’ Generative AI boosts performance but diminishes experience in a creative writing task

Computers in Human Behavior Artificial Humans, Journal Year: 2025, Volume and Issue: unknown, P. 100140 - 100140

Published: March 1, 2025

Language: Английский

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