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Anamika Chandra; Sarthak Sengupta; Anurika Vaish – Education and Information Technologies, 2025
E-learning systems have strengthened the learning process among students by providing online learning opportunities to them. With the diminishing difference between the academic world and the job markets, students must get the full benefits of e-learning platforms. The disparity in online learning opportunities due to a lack of resources has…
Descriptors: College Students, Intention, Electronic Learning, Student Behavior
Ching-Yi Chang; Hui-Chen Lin; Chengjiu Yin; Kai-Hsiang Yang – Educational Technology & Society, 2025
The emergence of Generative AI such as ChatGPT--a cutting-edge pre-trained language model--has garnered unprecedented attention from educational researchers worldwide. Its remarkable performance in knowledge generation and natural language dialogue has sparked global scholarly interest in its implications for education. Research on higher-order…
Descriptors: Artificial Intelligence, Thinking Skills, Skill Development, Reflection
Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Julia Jochim; Vera Kristina Lenz-Kesekamp – Information and Learning Sciences, 2025
Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…
Descriptors: Artificial Intelligence, Student Needs, Higher Education, Technology Uses in Education
Ethan P. McNaughton; Liam Bilbie; Matea Zuljevic; Lauren K. Allen; Daiana-Roxana Pur; Roy Eagleson; Sandrine Ribaupierre – Anatomical Sciences Education, 2025
In this article, we introduce a new virtual application that offers an interactive model of the brain for neuroanatomy education. Through a dual-platform architecture, the application can be downloaded on both desktop and mobile devices, with the mobile app leveraging unique capacities of modern handheld systems to deploy the brain model in…
Descriptors: Undergraduate Students, Anatomy, Brain, Science Instruction
Potsirin Limpinan; Ampawan Yindeemak; Rungfa Pasmala; Manop Nammanee; Thada Jantakoon – Higher Education Studies, 2025
This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) research for Multimedia in Education from 2020 to 2024. Using the Dimensions AI database, VOSviewer software and Scimago Graphica, we examined 45 publications to identify key trends, influential contributors, and emerging directions in this rapidly evolving…
Descriptors: Bibliometrics, Artificial Intelligence, Authors, Network Analysis
Fatima Algharbawi; Alaa Al-Taii – Educational Process: International Journal, 2025
Background/purpose: This study aims to determine the preferences and opinions of University of Sharjah students about hybrid learning, taking into account its increasing use globally, especially during and after the pandemic. Materials/methods: Participants were invited to complete a voluntary web-based questionnaire (Google Form), which was…
Descriptors: Foreign Countries, College Students, Student Attitudes, Blended Learning
Niaz Ahmed Bhutto; Minahil Khaliq; Niaz Hussain Ghumro; Ume Salma Akbar – Higher Education Quarterly, 2025
It is crucial to assess the digital transformation readiness of students in order to develop knowledgeable, capable and qualified alumnus who can enhance the qualified personnel within a country. This study will help HEIs in examining whether their students have the skills they need to survive in the 4IR era. Data have been collected from Higher…
Descriptors: Foreign Countries, College Faculty, College Students, Digital Literacy
Jan Bamford; Elena Moschini – Higher Education Research and Development, 2025
This paper explores the use of a gamified digital intervention to build connected and relational spaces for students in higher education which reach beyond the places and spaces of the traditional learning environment. These informal learning spaces can be seen to facilitate the development of students' transferable skills. The project…
Descriptors: Gamification, Educational Technology, Technology Uses in Education, College Students
Martin East – Language Learning Journal, 2025
Task-based language teaching (TBLT) emerged in the 1980s as a learner-centred and experiential alternative to more established and teacher-led approaches to acquiring an additional language (L2). Two decades ago, a paper published in "The Language Learning Journal" discussed the advantages and drawbacks of TBLT that had become apparent…
Descriptors: Second Language Instruction, Student Centered Learning, Experiential Learning, Instructional Effectiveness
Zuhan Liu; Lili Wang – Education and Information Technologies, 2025
With the continuous development of embodied cognition theory and virtual reality (VR) technology, its application in teaching has been paid more and more attention by researchers. However, there are still few practical studies on the combination of VR technology and embodied learning. Starting from literature research, the paper analyzes the…
Descriptors: Cognitive Processes, Computer Simulation, Human Body, Experiential Learning
Leonidas Gavrilas; Konstantinos T. Kotsis – International Journal of Research & Method in Education, 2025
Educational robotics activities have proven instrumental in creating a dynamic learning environment that provides students with hands-on experiences, aligning with the interdisciplinary principles advocated by STEM education. The integration of educational robotics into the educational process significantly impacts students of various age groups,…
Descriptors: Test Construction, Test Validity, Surveys, Measures (Individuals)
Dongkwang Shin; Suh Keong Kwon; Wonjun Izac Noh; Yohan Hwang – Journal of Computer Assisted Learning, 2025
Background: This study examines the evolution of English speaking proficiency test methods, which have traditionally relied on face-to-face interactions to assess communicative language competence. Recently, computer-based language tests have also been used on a larger scale, albeit with concerns about their impact on measurement. Objectives: This…
Descriptors: Computer Simulation, Technology Uses in Education, English (Second Language), Second Language Learning
Elisabeth Bauer; Samuel Greiff; Arthur C. Graesser; Katharina Scheiter; Michael Sailer – Educational Psychology Review, 2025
Artificial intelligence (AI) holds significant potential for enhancing student learning. This reflection critically examines the promises and limitations of AI for cognitive learning processes and outcomes, drawing on empirical evidence and theoretical insights from research on AI-enhanced education and digital learning technologies. We critically…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Learning Processes
Lei Tao; Hao Deng; Yanjie Song – Educational Technology & Society, 2025
Information and communication technologies have transformed education, driving it towards intelligent teaching and learning. With the rise of generative artificial intelligence (AI), represented by tools such as ChatGPT, there is also a growing body of literature on generative AI in education. In this study, we searched the Scopus, ERIC, and Web…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods

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