International Journal of Artificial Intelligence in Education, Год журнала: 2025, Номер unknown
Опубликована: Апрель 7, 2025
Язык: Английский
International Journal of Artificial Intelligence in Education, Год журнала: 2025, Номер unknown
Опубликована: Апрель 7, 2025
Язык: Английский
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
43International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 10
Опубликована: Сен. 10, 2024
Язык: Английский
Процитировано
19Learning and Motivation, Год журнала: 2024, Номер 87, С. 102025 - 102025
Опубликована: Июль 17, 2024
Язык: Английский
Процитировано
17Journal of Second Language Writing, Год журнала: 2024, Номер 65, С. 101130 - 101130
Опубликована: Июль 29, 2024
Язык: Английский
Процитировано
17European 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
2European 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
11Computers in Human Behavior, Год журнала: 2024, Номер 162, С. 108474 - 108474
Опубликована: Окт. 12, 2024
Язык: Английский
Процитировано
11European 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
9Computers in Human Behavior, Год журнала: 2024, Номер 161, С. 108429 - 108429
Опубликована: Авг. 31, 2024
Язык: Английский
Процитировано
8Innovation 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
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