Transforming EFL Teaching with AI: A Systematic Review of Empirical Studies DOI
Arnab Kundu, Tripti Bej

International Journal of Artificial Intelligence in Education, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Язык: Английский

Modelling Generative AI Acceptance, Perceived Teachers' Enthusiasm and Self‐Efficacy to English as a Foreign Language Learners' Well‐Being in the Digital Era DOI

Fangwei Huang,

Yongliang Wang, Haijing Zhang

и другие.

European Journal of Education, Год журнала: 2024, Номер unknown

Опубликована: Сен. 28, 2024

ABSTRACT As artificial intelligence (AI) has been integrated into foreign language (FL) education, learners' well‐being is influenced by various factors, including technological, personal and contextual elements. However, few studies explored how external internal factors jointly shape FL in the era of generative AI. To fill this gap, study explores effects AI acceptance, perceived teachers' enthusiasm self‐efficacy on investigating 613 university learners English as a (EFL). The structural equation modelling results reveal that (1) acceptance positively predicts EFL self‐efficacy; (2) does not predict (3) for receptive skills mediates relationship between acceptance/perceived well‐being, whereas productive play mediation role. This research broadens understanding antecedents extends application theory AI‐driven educational environment, providing significant pedagogical implications.

Язык: Английский

Процитировано

43

Exploring Engagement, Self-Efficacy, and Anxiety in Large Language Model EFL Learning: A Latent Profile Analysis of Chinese University Students DOI
Qikai Wang, Yang Gao,

Xiaochen Wang

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 10

Опубликована: Сен. 10, 2024

Язык: Английский

Процитировано

19

A self-determination perspective on the relationships between EFL learners’ foreign language peace of mind, foreign language enjoyment, psychological capital, and academic engagement DOI
Ali Derakhshan, Mostafa Azari Noughabi

Learning and Motivation, Год журнала: 2024, Номер 87, С. 102025 - 102025

Опубликована: Июль 17, 2024

Язык: Английский

Процитировано

17

Graduate students’ use of ChatGPT for academic text revision: Behavioral, cognitive, and affective engagement DOI
Svetlana Koltovskaia, Payam Rahmati, Hooman Saeli

и другие.

Journal of Second Language Writing, Год журнала: 2024, Номер 65, С. 101130 - 101130

Опубликована: Июль 29, 2024

Язык: Английский

Процитировано

17

How AI‐Enhanced Social–Emotional Learning Framework Transforms EFL Students' Engagement and Emotional Well‐Being DOI Open Access

Yue Zong,

Lei Yang

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 12, 2025

ABSTRACT This study explores the transformative role of AI‐enhanced social–emotional learning (SEL) frameworks in improving engagement and emotional well‐being English as a foreign language (EFL) students China. A survey was conducted among 816 undergraduate postgraduate from universities across five provinces, utilising convenience sampling. The research focused on how AI tools integrated into contribute to student stability. Data were analysed using SPSS for descriptive regression analyses AMOS structural equation modelling. findings highlight that SEL significantly boosts well‐being. By providing tailored experiences based students' cognitive needs, systems facilitate better regulation, increased focus improved academic performance. results suggest offer personalised support not only enhances outcomes but also creates more emotionally supportive environment, contributing overall success

Язык: Английский

Процитировано

2

Disclosing the Correlation Between Using ChatGPT and Well‐Being in EFL Learners: Considering the Mediating Role of Emotion Regulation DOI Creative Commons
Afsheen Rezai, Ali Soyoof, Barry Lee Reynolds

и другие.

European Journal of Education, Год журнала: 2024, Номер unknown

Опубликована: Сен. 17, 2024

ABSTRACT Artificial Intelligence (AI)‐driven chatbots, such as ChatGPT, have significantly impacted education, especially for English a Foreign Language (EFL) learners. However, there is paucity of empirical evidence concerning the role chatbots in psycho‐emotional constructs like well‐being and emotion regulation. It important to address this issue because it can further our understanding ways through which using ChatGPT affects EFL This study aimed unpack intersection between well‐being, with focus on mediating regulation context Iran. Using convenience sampling, 492 learners (205 males 287 females) were invited complete validated scales measuring use, The outcomes structural equation modelling revealed strong mediation effect relationship well‐being. Additionally, significant positive correlations found both Besides, was established among results imply that integration into Iranian learning environment be beneficial, considering its

Язык: Английский

Процитировано

11

The Effect of Artificial Intelligence Tools on EFL Learners' Engagement, Enjoyment, and Motivation DOI
Lingjie Yuan, Xiaojuan Liu

Computers in Human Behavior, Год журнала: 2024, Номер 162, С. 108474 - 108474

Опубликована: Окт. 12, 2024

Язык: Английский

Процитировано

11

Fostering Engagement in AI‐Mediate Chinese EFL Classrooms: The Role of Classroom Climate, AI Literacy, and Resilience DOI
Xiaochen Wang, Yang Gao, Qikai Wang

и другие.

European Journal of Education, Год журнала: 2024, Номер unknown

Опубликована: Дек. 13, 2024

ABSTRACT The rise of artificial intelligence (AI) has significantly impacted education, yet few scholars have explored AI‐assisted classrooms, particularly in language education China. Understanding the roles classroom climate, AI literacy, and resilience is essential, as these factors foster positive learning environments enhance student engagement. In this sense, study, grounded Social Cognitive Theory, employs structural equation modelling to investigate influencing engagement Chinese English a Foreign Language (EFL) classrooms. It examines data from 606 university EFL learners explore interactions among variables mediating role resilience. findings indicate that all predict engagement, highlighting importance both environmental cognitive fostering active participation. Furthermore, serves crucial mediator, linking climate literacy This study provides some insights for educators policymakers, emphasising need cultivate supportive environments, promote programs, strengthen students' optimise educational settings.

Язык: Английский

Процитировано

9

“I feel AI is neither too good nor too bad”: Unveiling Chinese EFL teachers’ perceived emotions in generative AI-Mediated L2 classes DOI

Yumin Shen,

Guo Hong-yu

Computers in Human Behavior, Год журнала: 2024, Номер 161, С. 108429 - 108429

Опубликована: Авг. 31, 2024

Язык: Английский

Процитировано

8

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

Guofeng Zhao

Innovation in Language Learning and Teaching, Год журнала: 2025, Номер unknown, С. 1 - 14

Опубликована: Янв. 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.

Язык: Английский

Процитировано

1