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

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

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The Impact of Adaptive Learning Technologies, Personalized Feedback, and Interactive AI Tools on Student Engagement: The Moderating Role of Digital Literacy

Sustainability, Год журнала: 2025, Номер 17(3), С. 1133 - 1133

Опубликована: Янв. 30, 2025

Using adaptive learning technologies, personalized feedback, and interactive AI tools, this study investigates how these tools affect student engagement what the mediating role of individuals’ digital literacy is at same time. The will target 500 students from different faculties such as science, engineering, humanities, social sciences. With changing trends in educational technology, it important to know if allow interact with materials. Through study, we explore which adapt content students’ progress, are influenced by motivation participation during process using that provide real-time feedback interaction. Also, presented a moderating factor may either accelerate or impede effectiveness tools. These findings demonstrate more have organized help improve engagement. Additionally, higher levels involved This research recognizes teachers should incorporate technologies into their courses manner synergizes student’s capabilities reap benefits technology on outcomes.

Язык: Английский

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Integrating ARCS-V and MST motivation models into AI-supported distance education design: A synergistic approach

Açıköğretim Uygulamaları ve Araştırmaları Dergisi, Год журнала: 2025, Номер 11(1), С. 38 - 61

Опубликована: Янв. 28, 2025

This article proposes a new framework that integrates the ARCS-V (Attention, Relevance, Confidence, Satisfaction, and Volition) model Motivational Systems Theory (MST) into AI-supported distance learning environments. The proposed shows how integration of these models can support student motivation in more holistic way. By combining AI tools with assessment, adaptive interventions synergistic mechanisms, customized environments be developed according to needs. Combining strengths model, which focuses on providing engaging satisfying experiences, MST, emphasizes importance personal goals, emotions, environmental factors, this approach suggests effective way sustain motivation. paper examines MST combined intervention dimensions Artificial Intelligence education settings. integrating two motivational ODL AI, not only presentation content but also increased engagement achieved.

Язык: 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), Год журнала: 2025, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

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Students' mindset to adopt AI chatbots for effectiveness of online learning in higher education

Future Business Journal, Год журнала: 2025, Номер 11(1)

Опубликована: Март 10, 2025

Abstract The rapid incorporation of Artificial Intelligence (AI) technologies into higher education is shifting the focus toward understanding students’ perspectives and factors affecting adoption AI chatbots to maximize their use in online virtual educational environments. This study fills an important gap literature by examining direct mediated relationships key constructs such as perceived usefulness, ease use, technical competency chatbot usage. aims investigate mindsets regarding adopting for effectiveness learning education. Data were collected from 429 university students analyzed using partial least squares-based structural equation modeling (PLS-SEM) technique. results revealed that usefulness (PU), (PEU), tech (TC) have a significant impact on capability. Subjective norm (SN) has no capability significantly influences effectiveness. findings indicated mediates effect PU, PEU, TC chatbots; however, there mediating relationship between SN Facilitating conditions moderate PU research addresses new insight within context education, particularly demonstrating moderating function tech-competent concepts.

Язык: Английский

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Perceptions Toward Artificial Intelligence (AI) Among Animal Science Students in Chinese Agricultural Institutions—From Perspectives of Curriculum Learning, Career Planning, Social Responsibility, and Creativity

Sustainability, Год журнала: 2025, Номер 17(6), С. 2427 - 2427

Опубликована: Март 10, 2025

As artificial intelligence (AI) technology continues to advance and iterate, various industries have undergone intelligent reformation. China’s animal husbandry industry, given its importance for people’s livelihoods, is no exception this transformation. Using AI in field becoming increasingly common since it not only improves production efficiency but also revolutionizes traditional business models. Animal science a fundamental discipline that drives the progress of by studying growth, breeding, nutritional needs, feeding management livestock poultry. This explores advanced veterinary theories technologies epidemic prevention control. The ultimate objective ensure high-quality sufficient products fulfill demands both daily life. It predicted deep integration into will bring unprecedented opportunities industry. study aims explore impact on students’ learning experiences future educational directions. By situating research within context current developments technology, we hope provide valuable insights educators policymakers employ questionnaire survey perceptions attitudes students majoring from agricultural institutions China toward integration. results practical references cultivation development talent

Язык: Английский

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Empowering creativity and engagement: The impact of generative artificial intelligence usage on Chines EFL students' language learning experience

Computers in Human Behavior Reports, Год журнала: 2025, Номер 18, С. 100627 - 100627

Опубликована: Март 10, 2025

Язык: Английский

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Towards a holistic integration of AI in EFL education: A mixed method empirical study

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100384 - 100384

Опубликована: Март 1, 2025

Язык: 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, Год журнала: 2025, Номер unknown, С. 100140 - 100140

Опубликована: Март 1, 2025

Язык: Английский

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AI-powered personalized learning: Enhancing self-efficacy, motivation, and digital literacy in adult education through expectancy-value theory

Learning and Motivation, Год журнала: 2025, Номер 90, С. 102129 - 102129

Опубликована: Апрель 15, 2025

Язык: Английский

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