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Ulzhamal Konakbayeva; Perizat Baltasheva; Bakyt Kuanysheva; Indira Dauletova; Galiya Kydyrbayeva; Tatyana Karataeva – Educational Process: International Journal, 2025
Background/purpose: The marginalization of art education globally has prompted concerns about the instructional competence of art teachers. This study probed the potential of microteaching lesson study as a remedy, with a novel integration of generative artificial intelligence. Materials/methods: This was a pre-test/post-test controlled study with…
Descriptors: Artificial Intelligence, Microteaching, Teacher Effectiveness, Self Efficacy
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Thomas K. F. Chiu; Murat Çoban; Ismaila Temitayo Sanusi; Musa Adekunle Ayanwale – Educational Technology Research and Development, 2025
Nurturing student artificial intelligence (AI) competency is crucial in the future of K-12 education. Students with strong AI competency should be able to ethically, safely, healthily, and productively integrate AI into their learning. Research on student AI competency is still in its infancy, primarily focusing on theoretical and professional…
Descriptors: Artificial Intelligence, Digital Literacy, Competence, Self Efficacy
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Yan Zhang – European Journal of Education, 2025
In recent years, an increasing body of research has reported the contributions of artificial intelligence (AI) technologies to various aspects of second/foreign language (L2) education. However, there is a shortage of evidence on the interplay of AI and teacher-student classroom rapport. To fill this void, this study used a qualitative design…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Instruction, Second Language Learning
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Sheejamol P. T.; Anu Mary Chacko; S. D. Madhu Kumar – Electronic Journal of e-Learning, 2025
Traditional education, characterized by rigid curricula and inflexible teaching methods, often fails to accommodate the diverse cognitive profiles of neurodivergent learners, including those with Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), and dyslexia. Although e-Learning has introduced greater flexibility and…
Descriptors: Individualized Instruction, Gamification, Electronic Learning, Students with Disabilities
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Zeineb Mezghani; Ahmed Turki – International Journal of Adult Education and Technology, 2025
This study investigates the long-standing employability gap among Tunisian civil engineering graduates, where mismatching between university education and construction industry demands irks labor market readiness. Through a mixed-methods approach, entailing semi-structured interviews with 25 industry leaders and action research within a leading…
Descriptors: Foreign Countries, Employment Potential, Construction Industry, Engineering Education
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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
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Youssef Baba Khouya, Editor; Abderrahmane Ismaili Alaoui, Editor – IGI Global, 2025
The application of artificial intelligence (AI) in the teaching and learning of English as a Foreign Language (EFL) transforms traditional educational practices by offering more personalized, efficient, and interactive learning experiences. AI-powered tools enable learners to receive instant feedback, engage in conversational practice, and tailor…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, English (Second Language)
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Gamze Erdem Cosgun – British Educational Research Journal, 2025
The role of artificial intelligence (AI) in education plays a crucial role in teacher training digitalisation. Although AI has enormous potential, not much is known about how pre-service teachers perceive and utilise AI tools in professional practice. Hence, this study, guided by the Unified Theory of Acceptance and Use of Technology framework,…
Descriptors: Artificial Intelligence, Digital Literacy, Preservice Teachers, Test Construction
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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Journal of Research in Science Teaching, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
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Jiraporn Chano; Curtis J. Bonk; Bahtiar Mohamad – International Journal of Language Education, 2025
This study examines the evolution of blended learning (BL) research in higher education, focusing on its impact on English language proficiency (ELP) and alignment with Sustainable Development Goals. Using 200 Scopus-indexed articles published from 2020 to 2025, we applied Publish or Perish and VOSviewer for bibliometric analysis. Results show a…
Descriptors: Blended Learning, Higher Education, Language Proficiency, English (Second Language)
Georgios Roussos; Angeliki Agorogianni; Ioannis Salmatzidis; Thrasyvoulos Tsiatsos; Patrik Maltush; Evelien Renders; Thierry Koscielniak; Raimund Vogl; Wolfgang Nejdl; Christos-Nikolaos Anagnostopoulos; ?artín López Nores; Gill Ferrell; John O'Brien – Online Submission, 2025
The development of AI, at an above benchmark pace, has become a worldwide worrying issue and a central narrative in the tertiary level learning institutions. Digital transformation, on the other hand, is updating the educational systems, which necessitates effective governance to steer these improvements. This paper provides an integrated overview…
Descriptors: Global Approach, Artificial Intelligence, Technology Uses in Education, Educational Change
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Li Wang; Jianchun Dai – European Journal of Education, 2025
As artificial intelligence (AI) technologies become increasingly embedded in language education, it is essential to move beyond perception-based research and examine teachers' actual experiences with AI integration. Drawing on Expectancy Value Theory (EVT), this qualitative study explores how Chinese EFL teachers have engaged with AI tools in…
Descriptors: Foreign Countries, Language Teachers, Second Language Instruction, English (Second Language)
Hoel, Tore; Chen, Weiqin; Pawlowski, Jan M. – Research and Practice in Technology Enhanced Learning, 2020
There is a gap between people's online sharing of personal data and their concerns about privacy. Till now, this gap is addressed by attempting to match individual privacy preferences with service providers' options for data handling. This approach has ignored the role different contexts play in data sharing. This paper aims at giving privacy…
Descriptors: Privacy, Engineering, Context Effect, Information Security
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Kucirkova, Natalia; Mackey, Margaret – London Review of Education, 2020
This conceptual article discusses the role of digital literacies in personalized books, in relation to children's developing sense of self, and in terms of assessing the potential impact of artificial intelligence (AI). Personalized books contain children's data, such as their name, gender or image, and they can be created by readers or…
Descriptors: Childrens Literature, Technological Literacy, Self Concept, Artificial Intelligence
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Nicoletti, Maria do Carmo; de Oliveira, Osvaldo Luiz – Higher Education Studies, 2020
In the literature related to higher education, the concept of dropout has been approached from several perspectives and, over the years, its definition has been influenced by the use of diversified semantic interpretations. In a general higher education environment dropout can be broadly characterized as the act of a student engaged in a course…
Descriptors: Artificial Intelligence, Man Machine Systems, Computation, Prediction
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