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Sophia Mavridi – Technology in Language Teaching & Learning, 2025
This article proposes a critical typology of five emerging responses to artificial intelligence (AI) in language education, from prohibition and hype to critical engagement, highlighting the assumptions, tensions, and possibilities each orientation embodies. This typology serves as a reflective tool to examine how educators and institutions are…
Descriptors: Artificial Intelligence, Classification, Responses, Language Teachers
Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
Michelle Xin Yi Tan; Yao Qu; Jue Wang – Higher Education Quarterly, 2025
The rapid adoption of generative artificial intelligence (GenAI) in higher education has raised questions about student use, academic integrity, and institutional regulation. This study examines students' perceptions of and compliance with GenAI regulations in higher education, using a Singaporean university as a case study. Adopting a…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Nur Faizin; Muhammad Alfan; Abdul Basid; Mochammad Rizal Ramadhan; Siti Aisyah Panatik; Akhmad Nurul Kawakip – Discover Education, 2025
The emergence of artificial intelligence (AI) in education and religion in today's world has presented various challenges, such as plagiarisms, the credibility of AI and, its acceptance by students. This study uses an extended Technology Acceptance Model (TAM) framework to analyse Muslim students' perceptions towards the use of artificial…
Descriptors: Foreign Countries, Muslims, College Students, Student Attitudes
Amin Davoodi – Professional Development in Education, 2025
This study introduces a novel Connectivist model for professional development (PD) aimed at enhancing AI literacy among bilingual/ESL teachers in K-12 education. As AI technologies rapidly reshape educational landscapes, effective PD programs are essential to equip educators with the skills to integrate AI responsibly and equitably. Grounded in…
Descriptors: Bilingual Education, Artificial Intelligence, Faculty Development, Language Teachers
Sankaranarayanan Paleeri; Sneha Parambath – Journal of Educational Technology, 2025
This study explored the perceptions of learners, teachers, and administrators on the role of artificial intelligence (AI) in the higher secondary school education scenario of Kerala. The study was a comprehensive survey, and sample groups included 360 students, 60 teachers, and 5 administrators. Both qualitative methods and quantitative techniques…
Descriptors: Artificial Intelligence, Computer Uses in Education, Student Attitudes, Teacher Attitudes
Benjamin Brummernhenrich; Christian L. Paulus; Regina Jucks – British Journal of Educational Technology, 2025
Generative AI systems like chatbots are increasingly being introduced into learning, teaching and assessment scenarios at universities. While previous research suggests that users treat chatbots like humans, computer systems are still often perceived as less trustworthy, potentially impairing their usefulness in learning contexts. How are…
Descriptors: Higher Education, Artificial Intelligence, College Students, Feedback (Response)
Boxuan Ma; Li Chen; Shin’ichi Konomi – International Association for Development of the Information Society, 2024
Generative artificial intelligence (AI) tools like ChatGPT are becoming increasingly common in educational settings, especially in programming education. However, the impact of these tools on the learning process, student performance, and best practices for their integration remains underexplored. This study examines student experiences and…
Descriptors: Artificial Intelligence, Computer Science Education, Programming, Computer Uses in Education
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
Chaoran Wang – Technology, Knowledge and Learning, 2025
Generative artificial intelligence (AI) can create sophisticated textual and multimodal content readily available to students. Writing intensive courses and disciplines that use writing as a major form of assessment are significantly impacted by advancements in generative AI, as the technology has the potential to revolutionize how students write…
Descriptors: Artificial Intelligence, Computer Uses in Education, Writing (Composition), Writing Processes
Schofield, Janet Ward – 1995
This book explores the meaning of computer technology in schools. The book is based on data gathered from a two-year observation of more than 30 different classrooms in an urban high school: geometry classes in which students used artificially intelligent tutors; business classes in which students learned word processing; and computer science…
Descriptors: Academically Gifted, Artificial Intelligence, Change, Classroom Research

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