From Technology‐Challenged Teachers to Empowered Digitalized Citizens: Exploring the Profiles and Antecedents of Teacher AI Literacy in the Chinese EFL Context

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1), P. 1 - 16

Published: Jan. 27, 2025

ABSTRACT Artificial Intelligence (AI) literacy has come to the spotlight, empowering individuals adeptly navigate modern digitalised world. However, studies on teacher AI in English as a Foreign Language (EFL) context remain limited. This study aims identify intraindividual differences and examine its associations with age years of teaching experience among 782 teachers. Given absence reliable instrument measure literacy, we first constructed validated scale encompassing five sub‐scales: Knowledge , Use Assessment Design Ethics . Subsequently, latent profile analysis (LPA) was conducted using Mplus 7.4, results revealing four distinct profiles: Poor (C1: 12.1%), Moderate (C2: 45.5%), Good (C3: 28.4%), Excellent (C4: 14.1%). Multinomial logistic regression analyses indicated significant between both experience. Additionally, 32 respondents participated semi‐structured interviews. The qualitative data analysed MAXQDA 2022 triangulated quantitative offered deeper insights into teachers’ perceptions their literacy. provides theoretical practical implications for understanding Chinese EFL context.

Language: Английский

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The Mediating Roles of Resilience and Flow in Linking Basic Psychological Needs to Tertiary EFL Learners’ Engagement in the Informal Digital Learning of English: A Mixed-Methods Study

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(1), P. 85 - 85

Published: Jan. 18, 2025

Resilience and flow are crucial in language education, yet most research focuses on formal learning environments, with limited studies their impact informal settings. This study explores the relationship between basic psychological needs engagement context of digital English (IDLE). Using a mixed-methods design, data were collected from 512 Chinese EFL learners. Structural equation modeling NVivo analysis applied to quantitative qualitative data, respectively. The findings reveal that resilience fully mediates engagement, serving as an adaptability enhancer, persistence promoter, stress buffer, self-efficacy builder, emotional regulation facilitator. Conversely, partially this relationship, though perceived competence does not significantly predict context. Building this, contributes intrinsic motivation driver, positive cycle creator, external pressure mitigator, efficiency enhancer. underscores important role IDLE among university students. By highlighting these mediating roles, provides valuable insights for enhancing effectiveness experiences, contributing broader discourse education age.

Language: Английский

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Investigating teachers’ attitude toward integration of ChatGPT in language teaching and learning in higher education

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

Published: Feb. 7, 2025

Abstract Understanding teachers’ perspectives is essential for successful technology adoption as plays an increasingly important role in education. The aim of this study to explore the nuanced dynamics using natural language processing models such ChatGPT higher education settings. complexity attitudes crucial creation supportive environments that enable them embrace a meaningful enhancement teaching. While chatbots have gained popularity various fields, tourism and medicine, their use sector, especially Romanian universities, has not yet been sufficiently explored. consisted focus group with 15 teachers. This led qualitative findings practical implications benefits incorporating into teaching, immediate correction, real-time practice continuous learning, were found positive impact on learning outcomes. In addition, teachers be valuable tool organizing work, providing efficient means managing tasks assessments, contributing more classroom process.

Language: Английский

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The Effect of Artificial Intelligence Tools on EFL Learners' Engagement, Enjoyment, and Motivation

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: 162, P. 108474 - 108474

Published: Oct. 12, 2024

Language: Английский

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Fostering Engagement in AI‐Mediate Chinese EFL Classrooms: The Role of Classroom Climate, AI Literacy, and Resilience

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

Published: Dec. 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.

Language: Английский

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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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Unlocking Foreign Language Enjoyment in GenAI-Assisted English Learning: A Q-Methodology Perspective from Chinese EFL Students

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

This study employs Q methodology to investigate Chinese EFL students' foreign language enjoyment in GenAI-assisted English learning environments. Through Q-sorting and follow-up written responses from university students, this research identified three distinct patterns: (1) Instrumental Support Orientation, characterized by derived GenAI's immediate assistance error correction features, but showing limited engagement with deeper processes; (2) Independent Learning Achievement, reflecting high satisfaction autonomous goal attainment efficiency while demonstrating resistance peer interaction collaborative learning; (3) Learning Feature Exploration, emphasizing through experimenting various GenAI functionalities expressing significant skepticism about outcomes anxiety reduction. These findings extend our understanding of FLE technology-enhanced revealing how learners experience different pathways interaction.

Language: Английский

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Implementing Vocabulary Assessment with Children with Disabilities in Saudi Arabia: Challenges and Recommendations

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e42002 - e42002

Published: Jan. 1, 2025

This study investigated the challenges professionals face in general field of disability when implementing vocabulary assessments with individuals disabilities Saudi Arabia, examining factors that might affect level such as workplace, education, training and support, years experience. Three hundred seventy-five male female completed Challenges Questionnaire Vocabulary Assessment (CQVA). A descriptive statistic was used to answer research questions. Findings indicated a serious difficulties facing assessments. Specifically, three emerged: professional mentoring time constraints using assessments, having few specialists customizing for sensory environment. In addition, findings revealed variables encounter disability.

Language: Английский

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On the relationship between music students' negative emotions, artificial intelligence readiness, and their engagement

Acta Psychologica, Journal Year: 2025, Volume and Issue: 253, P. 104760 - 104760

Published: Jan. 30, 2025

Language: Английский

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Does the instructional approach really matter? A comparative study of the impact of online and in-person instruction on learner engagement

Acta Psychologica, Journal Year: 2025, Volume and Issue: 253, P. 104772 - 104772

Published: Feb. 1, 2025

Language: Английский

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