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Karim Ragab; Enrique Martínez-Jiménez; Elvira Fernandez-Ahumada – Contemporary Educational Technology, 2025
This study explores students' perceptions of their engagement with interactive technologies in STEM classes at an applied technology school in the United Arab Emirates (UAE). Specifically, the interactive technology (IT) involves artificial intelligence and virtual reality, along with collaborative digital platforms that incorporate AI elements…
Descriptors: Student Attitudes, Technology Uses in Education, STEM Education, Artificial Intelligence
Andy Nguyen; Anh Thi Duong; Diep Thi Bich Nguyen; Van Thi Thanh Lai; Belle Dang – Information and Learning Sciences, 2025
Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…
Descriptors: Artificial Intelligence, Instructional Design, Public Policy, Educational Policy
Silvia Osman – International Association for Development of the Information Society, 2025
In the rapidly evolving digital landscape, artificial intelligence (AI) is fundamentally redefining English for Specific Purposes (ESP) education across disciplines such as Political Studies, International Relations, Sociology, and Psychology. This paper explores how AI-powered tools enhance personalized, immersive, and authentic learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, English for Special Purposes, Second Language Instruction
Zhu Chun; Yimin Ning; Jihe Chen; Tommy Tanu Wijaya – Education and Information Technologies, 2025
With the rapid advancement of artificial intelligence technology, the artificial intelligence literacy, creativity, self-efficacy, and academic achievement of college students have increasingly garnered attention from the global educational community. This study, based on cognitive behavioral theory, employs Partial Least Squares Structural…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Digital Literacy
Nazir Ahmed Jogezai; Muhammad Jaffar; Fozia Ahmed Baloch; Gulab Khan Khilji – International Journal of Information and Learning Technology, 2025
Purpose: This study is aimed at explaining university teachers' behavioral intentions to use generative artificial intelligence (GAI) in their instruction, considering the effect of their AI literacy (AIL), organizational guidelines (OG), pedagogical relevance (PR) of GAI and their previous experiences (PE) with AI. Design/methodology/approach:…
Descriptors: Artificial Intelligence, Teacher Behavior, Teaching Methods, Technology Uses in Education
Wei Dai; Jionghao Lin; Flora Ji-Yoon Jin; Yi-Shan Tsai; Namrata Srivastava; Pierre Le Bodic; Dragan Gasevic; Guanliang Chen – Journal of Learning Analytics, 2025
Supporting academically at-risk students has attracted much attention in the field of learning analytics. However, much of the research in this area has focused on developing advanced machine learning models to predict students' academic performance, which alone is insufficient to improve student learning without the implementation of timely…
Descriptors: Learning Analytics, Identification, At Risk Students, Feedback (Response)
Laszlo Bognar; Myint Swe Khine – Journal of Education and e-Learning Research, 2025
This study investigates the shift in the use of AI-based chat tools in higher education focusing on changes in student engagement, learning behavior, and perceptions during a heavily AI-integrated semester. The research is based on pre- and post-semester surveys conducted among students from diverse demographic backgrounds and academic disciplines…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
Rand Al-Dmour; Hani Al-Dmour; Yazeed Al-Dmour; Ahmed Al-Dmour – Journal of International Students, 2025
In this study, we examine the role of AI-driven marketing in international student recruitment, focusing on how perceived usefulness, trust, and personalization influence decision-making. Grounded in the Technology Acceptance Model (TAM), the Trust-Based Decision-Making Model, and the Personalization--Privacy Paradox, we studied how AI-powered…
Descriptors: Foreign Students, Student Recruitment, Trust (Psychology), Privacy
Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
Danielle do Nascimento Rezera; Agenor Bevilacqua Sobrinho – Journal for Critical Education Policy Studies, 2025
Socioeconomic expropriations (Landnahme) have a direct impact on democracy and the processes of struggle of the working class, precisely because they impose a certain common sense and normalization of social relations, which, according to Marx and Engels, act in the "taking" of social consciousness. In this line, we seek to discuss the…
Descriptors: Technology Uses in Education, Artificial Intelligence, Educational Technology, Creativity
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
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
Meilan Li; Kizito Tekwa – European Journal of Psychology of Education, 2025
Despite AI's contributions to academic writing, concerns about over-reliance and diminished critical thinking skills persist, particularly among learners with low English proficiency (LEP). This study addresses the gap by investigating the writing process stage where AI intervention can best enhance LEP students' performance, motivation, and…
Descriptors: Artificial Intelligence, Writing Processes, Time Factors (Learning), Language Proficiency
Zhiqiang Yuan; Xueting Zhong; Wenyen Huang; Zhiyi Li; Xin Tang; Qi Tan – International Journal for Lesson and Learning Studies, 2025
Purpose: This study aims to explore the impact and mechanisms of an online summer camp incorporating generative AI (GenAI)-enabled microteaching lesson study on the technological pedagogical content knowledge (TPACK) of prospective secondary mathematics teachers (PSMTs). Design/methodology/approach: A mixed-methods research approach was employed,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Summer Programs, Online Courses
Iris Heung Yue Yim; Jiahong Su – International Journal of Technology and Design Education, 2025
Artificial intelligence (AI) has become an important part of 21st-century life and this requires that students understand how to adapt to this change. Despite calls to extend AI literacy education from university to young students, there remains a lack of evidence-based research informing educators and researchers on the content of AI literacy…
Descriptors: Artificial Intelligence, Digital Literacy, Literacy Education, Elementary Education

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