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Sarin Sok; Kimkong Heng; Mengkorn Pum – SAGE Open, 2025
Recently, there has been a plethora of studies about students' attitudes toward the use of artificial intelligence (AI) technologies in education, particularly in higher education and language education; however, research on AI use in high school settings has gained relatively little attention, leaving a huge research gap in the literature. This…
Descriptors: Foreign Countries, High School Students, Student Attitudes, Artificial Intelligence
Ferit Kiliçkaya; Joanna Kic-Drgas – SAGE Open, 2025
The study explores the role of AI-driven chatbots in fostering collaborative learning among English as a Foreign Language (EFL) teachers. By examining the experiences of 25 pre-service EFL teachers who used a chatbot as part of their teacher training, the study investigates how the tool supports peer interactions, enhances collaborative learning,…
Descriptors: Cooperative Learning, English (Second Language), Artificial Intelligence, Language Teachers
Sonay Caner-Yildirim – SAGE Open, 2025
While Generative Artificial Intelligence (GenAI) technologies like ChatGPT are revolutionizing education by offering unique interaction opportunities and prompting legislative shifts toward AI literacy, there remains a significant gap in understanding the factors that influence their acceptance and effective use in educational settings. In…
Descriptors: Artificial Intelligence, Adoption (Ideas), Undergraduate Students, Computer Uses in Education
Yahya Hiçyilmaz – SAGE Open, 2025
This study aimed to identify the experiences of students on the reflections of arts education supported by generative artificial intelligence in their abstract art practices. As a qualitative research method, the case study design was used in the study. The sample of the study included 12 last-year students in the Art Education Program of a state…
Descriptors: Art Education, Artificial Intelligence, Computer Uses in Education, Student Experience
Yang Gao; Qikai Wang; Xiaochen Wang; Quan Quan – SAGE Open, 2025
This study explores Chinese EFL university teachers' beliefs regarding the integration of Large Language Models (LLMs) into language education, drawing on the Expectancy-Value-Cost (EVC) theory. A total of 298 valid responses were collected via an online questionnaire, and Latent Profile Analysis (LPA) was employed to identify distinct belief…
Descriptors: College Faculty, Language Teachers, English (Second Language), Teacher Attitudes

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