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Phil Seok Oh; Gyeong-Geon Lee – Science & Education, 2025
How and why science education scholars and practitioners might use artificial intelligence (AI) in the classroom has been a controversial agenda for decades. ChatGPT, a state-of-the-art (SOTA) AI released in November 2022, has attracted global interest for its exceptionally high performance in generating human-like natural language answers to…
Descriptors: Science Education, Artificial Intelligence, Cognitive Processes, Affective Behavior
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Ce Song – European Journal of Education, 2025
This study examines the role of AI-powered learning tools in influencing cognitive load, well-being and academic success among music education students, with a focus on technology acceptance as a key factor. Data were collected through a random sampling of 454 Chinese music students (192 males, 262 females) aged 18-24, with varying levels of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Music Education
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Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
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Ricardo Alberto Reza Flores; Citlali Michélle Reza-Flores; Cristinao Galafassi; Abril Acosta-Ochoa; Rosa Maria Vicari – Journal of Pedagogy, 2025
This study examines how secondary-school students recognize and relate to artificial intelligence (AI) and the meanings they attribute to it in their everyday lives. Using a quantitative, descriptive, cross-sectional design, we explore the subjectivities of a purposive sample of 576 students from both public and private schools. The analysis…
Descriptors: Secondary School Students, Artificial Intelligence, Ethics, Moral Values
Ashley Hampton – ProQuest LLC, 2021
Hashim, Tan, and Rashid's (2015) study, "Adult Learners' Intention to Adopt Mobile Learning: A Motivational Perspective," was intriguing because there were so many adult learners, also known as nontraditional students, who struggled with online or m-learning because it did not appeal to the desires and/or needs of students with families…
Descriptors: Electronic Learning, Adult Students, Adult Learning, Student Attitudes
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Stiller, Klaus D. – Journal of Educational Multimedia and Hypermedia, 2019
In three experiments, learners used computerized learning material, which consisted of static pictures and on-screen text relating to the physiology of vision in one of two formats. The formats differed in method of access to text. Accessing text by clicking on picture components was hypothesized to produce superior learning to linear access…
Descriptors: Educational Technology, Technology Uses in Education, Visual Stimuli, Pictorial Stimuli