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Mustafa Taktak – International Journal of Technology in Education, 2025
This study examines the potential and challenges of artificial intelligence applications like ChatGPT in higher education, drawing on the experiences of 24 academics from eight countries: Turkey, Sweden, Canada, Iran, Kenya, Pakistan, Afghanistan, and Japan. Employing the content analysis method, the findings reveal that ChatGPT provides…
Descriptors: Teaching Methods, Research Methodology, Higher Education, Artificial Intelligence
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Iraya Yánez-Pérez; Radu Bogdan Toma; Jesús Ángel Meneses-Villagrá – School Science and Mathematics, 2025
Teachers often struggle to implement inquiry-based science teaching. To support them, IndagApp--a 3D educational app that offers curriculum-aligned, inquiry-based lesson plans--was designed. The app is rooted in the inquiry phases recommended in best-practices literature, which arguably align with most international standards. This study describes…
Descriptors: Usability, Computer Software, Private Schools, Public Schools
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Cristina Portalés; Javier Sevilla; Pablo Casanova-Salas; Mar Gaitán; Sergio Casas – Journal of Geography in Higher Education, 2025
Data visualization is a complex matter and so is teaching it in the context of engineering and data science. Even more challenging is teaching in a midst of once in a century pandemic. In this paper, we show the results of a workshop conducted with second-year students on a university degree in data science, which took place in the context of…
Descriptors: Blended Learning, Geography Instruction, Learning Processes, Workshops
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Victor A. Barger; Pavan Rao Chennamaneni; Andrew J. Dahl; James W. Peltier – Marketing Education Review, 2025
The rapid rise of artificial intelligence (AI) presents both challenges and opportunities for marketing educators. This paper outlines a transformative process undertaken by our department to integrate AI across the marketing curriculum. We detail a strategic shift from initial resistance to acceptance, resulting in the successful integration of…
Descriptors: Business Education, Marketing, Artificial Intelligence, Teaching Methods
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Taichi Yamashita – Language Testing, 2025
With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
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Oluwadara Abimbade – Journal of Digital Learning in Teacher Education, 2025
Today's adolescents actively engage with media, not only as consumers but also as creators. Their media creation activities range from graphic design and video production to digital storytelling and game programming. These experiences enable youth to express their voices and promote individual and community development. However, media production…
Descriptors: Middle School Students, Information Literacy, Deception, Misinformation
Jonathan Brazil; Suijing Yang; Fabienne van der Kleij – Australian Council for Educational Research, 2025
This document provides guiding principles and practical examples for using AI in teaching and learning. Underpinned by a human-centred approach, the PATH principles serve as key guidance to ensure the ethical and effective integration of AI systems into teaching and learning. The PATH principles are: Promote teaching and learning; Advance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Principles
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Melanie W. Jensen; Peter J. Rich – International Journal of Designs for Learning, 2025
In the teaching of math-fact automaticity, most classroom teachers are unaware of research-based practices such as the use of a controlled response time, the scaffolded teaching of individual math facts, the limiting of exposure to new math facts, the separation of math facts with common operands, and even the definition of automaticity. As a…
Descriptors: Computer Software, Mathematics Instruction, Evidence Based Practice, Scaffolding (Teaching Technique)
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Nuchsara C. Thongsan; Neil J. Anderson – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study investigates the integration of ChatGPT, a generative AI tool, into critical reading instruction for university-level EFL learners. Recognizing the importance of higher-order reading skills such as evaluating arguments, recognizing bias, synthesizing information, and generating counterarguments, the research explores how AI-supported…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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Zeynep Yadigar Tosun; S. Ipek Kuru Gönen – Reading in a Foreign Language, 2025
This study investigates the impact of a seven-week extensive reading (ER) program integrated with a blended learning modality (face-to-face and online) on tertiary-level English as a Foreign Language (EFL) learners. In a mixed-methods research design, it investigated whether the systematic blended ER program affected learners' reading attitudes…
Descriptors: Blended Learning, Reading Instruction, Reading Programs, Second Language Learning
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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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Adriaan Lochner – Perspectives in Education, 2025
Higher education institutions have various and mostly well-established methods for students to consult with their lecturers. Lecturers have traditionally expected students to make use of face-to-face interaction through after-class consultations and asking questions in class. It is, however, imperative that higher education reflects on whether…
Descriptors: Age Groups, Teacher Student Relationship, Higher Education, Technology Integration
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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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Wiets Botes – European Journal of STEM Education, 2025
The use of VR-based OERs in STEM education has the potential to enhance teaching and learning by making it more immersive and interactive. Despite their increased availability in higher education, there is limited understanding of how these resources support pre-service life science teachers' subject knowledge and pedagogical skills. This study…
Descriptors: Preservice Teachers, Student Attitudes, Science Teachers, Biological Sciences
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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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