Perceptual and Motor Skills, Год журнала: 2025, Номер 132(1), С. 8 - 15
Опубликована: Фев. 1, 2025
Язык: Английский
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
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
European Journal of Education, Год журнала: 2025, Номер 60(1)
Опубликована: Янв. 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.
Язык: Английский
Процитировано
1
Acta Psychologica, Год журнала: 2025, Номер 253, С. 104708 - 104708
Опубликована: Янв. 14, 2025
Язык: Английский
Процитировано
0
European Journal of Education, Год журнала: 2025, Номер 60(1)
Опубликована: Янв. 27, 2025
ABSTRACT Due to the frequent use of artificial intelligence (AI) technologies in daily life, it is thought that primary school students acquire information about this concept from various sources. The way these sources present AI may affect students' perceptions AI. In study, was aimed examine third and fourth grade through metaphors drawings. This research, which conducted with participation 262 students, phenomenological design. When participants were analysed, determined they produced 100 metaphors, evaluated 17 categories as humanistic feature, source, danger, development, superhuman service, source happiness, productivity, orientation, commitment, pervasiveness, necessity, security, speed, difficulty, virtual environment uncertainty. Accordingly, many different perspectives most danger. It human, brain living prominent human characteristic category; teacher, wise book finally, enemy, weapon monster danger category. drawing findings 37 codes represented four categories: purpose, object, interaction environment. purpose category, information, happiness; object mostly humanoid robot; emphasising interaction; not specified. line obtained, literature discussions made suggestions made.
Язык: Английский
Процитировано
0
European Journal of Education, Год журнала: 2025, Номер 60(1)
Опубликована: Фев. 18, 2025
ABSTRACT The arrival of generative artificial intelligence (GAI) technologies marks a significant transformation in the educational landscape, with implications for teaching and learning performance. These can generate content, simulate interactions, adapt to learners' needs, offering opportunities interactive experiences. In China's education sector, incorporating GAI address challenges, enhance practices, improve This study scrutinises impact on performance focusing mediating roles e‐learning competence (EC), desire (DL), beliefs about future (BF), as well moderating role facilitating conditions amongst Chinese educators. Data was collected from 411 teachers across various institutions China using purposive sampling. PLS‐SEM ANN were employed assess suggested structural model. results indicate that significantly influence by EC, DL, BF roles. Furthermore, positively moderate association BF. underscores critical self‐determination theory shaping effective incorporation education, valuable insights outcomes sector.
Язык: Английский
Процитировано
0
Perceptual and Motor Skills, Год журнала: 2025, Номер 132(1), С. 8 - 15
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0