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Ernest Frimpong Akosah – International Journal of Technology in Education and Science, 2025
The integration of Artificial Intelligence (AI) in collaborative learning environments has transformed educational practices, yet little is known about preservice mathematics teachers' perceptions and engagement with such technology. This study aims to address this gap by exploring how pre-service teachers perceive and engage with AI-assisted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cooperative Learning, Mathematics Education
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Min Jou; Tzu-Hsuan Kuo; Yu-Chun Chiang; Yungwei Hao; Chun-Chiang Huang – Turkish Online Journal of Educational Technology - TOJET, 2025
This study investigates how generative AI technologies influence pre-service teachers' pedagogical thinking and instructional design practices within a vocational education context. Drawing on a qualitative framework, the research engaged students in a task-based learning environment that integrated tools such as ChatGPT and image generators into…
Descriptors: Artificial Intelligence, Preservice Teacher Education, Preservice Teachers, Pedagogical Content Knowledge
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Benjamin Panmei; Yaruingam Phungshok Shimray – TESL-EJ, 2025
Generative Artificial Intelligence (GenAI) is increasingly integrated into academic writing globally, but its impact on international students in ASEAN contexts, particularly those facing unique linguistic and cultural challenges, remains understudied. Addressing this gap, this study explores how international business students in Thailand utilize…
Descriptors: Foreign Countries, Artificial Intelligence, Academic Language, Technology Uses in Education
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Maria Zirenko; Ina Alexandra Machura; Sabine Fabriz; Lukas Schulze-Vorberg; Holger Horz – Journal of Interactive Media in Education, 2025
The introduction of artificial intelligence (AI) in people's lives, including in educational settings, is happening rapidly and on a massive scale. However, AI represents a complicated and abstract concept for laypeople and is, in its entirety, still quite unfamiliar to many, including students in higher education. Metaphors may facilitate the…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Helen Stokes, Editor; Larissa McLean Davies, Editor – Emerald Publishing Limited, 2025
This is a time of challenge for teachers with burgeoning workloads and unsustainable conditions, parental demands and challenging student behaviour. Within this climate of challenge, including that of teacher retention, education systems around the world have had to develop strategies to professionalise and improve the status of teaching. Divided…
Descriptors: Preservice Teacher Education, Inservice Teacher Education, Culturally Relevant Education, Artificial Intelligence
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Sujood Alkhraisat – Educational Process: International Journal, 2025
Background/purpose: The integration of Artificial Intelligence across creative fields, including Eastern animation, has the potential to contribute significantly to not only the development of production and narratives but also to the achievement of educational objectives. This article examines the impact of AI on culture, symbolism, and values…
Descriptors: Foreign Countries, Technology Integration, Animation, Artificial Intelligence
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Luai Al Labadi; Anna Ly – Teaching Statistics: An International Journal for Teachers, 2025
In the 1990s, educators advocated for projects in statistical courses to enrich student learning. Prior research showcases the positive impact of Project-Based Learning (PBL), where students complete course-driven projects. In agreement with this perspective, we implemented PBL methodologies within two statistical courses at a North American…
Descriptors: Statistics Education, Student Projects, Active Learning, Artificial Intelligence
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Sam O'Neill; David Mulgrew; Ovidiu Bagdasar – Open Education Studies, 2025
Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption. This article presents insights and use cases from the integration of LLMs into a first-year undergraduate computer science cohort. By employing LLMs as…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, College Faculty
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Muhammad Mooneeb Ali; Ahmed M. Alaa; Wael Alharbi; Issa Al Qurashi – International Journal of Technology in Education, 2025
Machine and prompt-based Artificial Intelligence (AI) learning has made significant evolution profusely. In education, it has revitalized researchers and educators to scout out subsequent advantages for optimizing learning results. Chiefly, Generative AI has exhibited substantial potential as a tool for language augmentation. This study aims to…
Descriptors: Foreign Countries, Grade 10, Artificial Intelligence, Natural Language Processing
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Shungo Suzuki; Hiroaki Takatsu; Ryuki Matsuura; Miina Koyama; Mao Saeki; Yoichi Matsuyama – Language Testing, 2025
The current study proposes a new approach to weakness identification in diagnostic language assessment (DLA) for speaking skills. We also propose to design actionable and contextualised diagnostic feedback through the systematic integration of feedback and remedial learning activities. Focusing on lexical use in second language speaking, the…
Descriptors: English (Second Language), Speech Skills, Artificial Intelligence, Second Language Learning
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Samra Maqbool; Hafiz Muhammad Ihsan Zafeer; Sufyan Maqbool; Ayesha Tariq; Amjad Islam Amjad – International Journal of Technology in Education, 2025
The integration of Artificial Intelligence (AI) in education offers transformative opportunities for personalized learning and efficient instructional practices. However, the successful adoption of AI in classrooms is contingent upon teachers' preparedness, technological literacy, and understanding of ethical considerations. This study examined…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Competencies, Readiness
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Rocio Garcia-Peinado – European Educational Researcher, 2025
This article examines the use of artificial intelligence (AI) in early childhood education from a rights-based perspective, drawing on a critical interpretive synthesis (CIS) of the literature published between 2019 and 2025. A typology of four uses in early childhood -- Tutor, Tool, Companion, and Tracker (THCR) -- is proposed and each category…
Descriptors: Artificial Intelligence, Technology Uses in Education, Childrens Rights, Early Childhood Education
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Morgan A. Vincent; Benjamin J. Lear – Journal of Chemical Education, 2025
We report an intervention, performed during the Fall of 2024, in which a large language model artificial intelligence chatbot was introduced as a tool for pre-exam study and postexam reflection within an honors general chemistry course (CHEM 110H) at Penn State University. Through a combination of a structured 75 min instructional session and…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Science, Honors Curriculum
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Mohammed Estaiteyeh; Michael Mindzak – Journal of Teaching and Learning, 2025
Preparing new teachers for the reality of artificial intelligence in education (AIEd) has become a pressing issue. This study was conducted in a Canadian teacher education program that offers a course on digital technologies incorporating a module on AIEd. This paper addresses two research questions: 1) What were teacher candidates' (TCs')…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Artificial Intelligence
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Oguz Cetin; Gizem Celen – Journal of Education in Science, Environment and Health, 2025
This study aims to investigate the artificial intelligence (AI) literacy levels of pre-service teachers and their views on the use of AI in education. Adopting a mixed-methods approach, the study employed both quantitative and qualitative techniques to ensure comprehensive analysis. The quantitative data were collected using the "Artificial…
Descriptors: Artificial Intelligence, Technological Literacy, Preservice Teachers, Student Attitudes
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