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Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Aloys Iyamuremye; Innocent Twagilimana; Francois Niyongabo Niyonzima – Discover Education, 2025
Organic chemistry education serves as a cornerstone in various scientific disciplines, yet its instruction is often dominated by rote memorization over deep conceptual understanding, resulting in limited conceptual understanding and disengagement among students. This aimed at investigating the impact of integrating a web-based discussion tools on…
Descriptors: Organic Chemistry, Computer Assisted Instruction, Science Instruction, Discussion (Teaching Technique)
Erika L. Thompson; Toufeeq Ahmed Syed; Zainab Latif; Katie Stinson; Damaris Javier; Gabrielle Saleh; Jamboor K. Vishwanatha – Journal for STEM Education Research, 2025
Given the differences in trajectory for under-represented minorities in biomedical careers, we sought to explore how a virtual mentoring program, the National Research Mentoring Network (NRMN), and its platform (MyNRMN), may facilitate transitions in the science, technology, engineering, mathematics, and medicine (STEMM) pipeline. The purpose of…
Descriptors: College Students, STEM Education, STEM Careers, Medical Education
Marjan Ebadijalal; Shahab Moradkhani – Computer Assisted Language Learning, 2025
The present mixed-methods study aimed at investigating the effects of three writing conditions, including collaborative writing (CW), collaborative prewriting (CPW), and individual writing (IW), on the performance and motivation of 66 Iranian EFL learners in a computer-mediated communication (CMC) context. Data were obtained through a background…
Descriptors: Computer Assisted Instruction, Collaborative Writing, Prewriting, Writing (Composition)
Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
Yijia Hao; Yushi Liu; Bo Liu; George Amarantidis; Rami Ghannam – IEEE Transactions on Education, 2025
Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Artificial Intelligence
Amina Bashir; Aamir Aziz; Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2025
With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…
Descriptors: Computer Assisted Instruction, Second Language Learning, Learning Motivation, Intention
Linjing Wu; Shuang Yu; Qingtang Liu; Junmin Ye; Xinxin Zheng; Jianhu Wang – Journal of Computing in Higher Education, 2025
Interdisciplinary collaboration is widely used in research, industry, and education. Understanding the differences in cognitive processes between cross-discipline and same-discipline groups can improve instruction in collaborative learning. In this study, students volunteered to participate in cross-discipline or same-discipline collaborative…
Descriptors: Intellectual Disciplines, Cooperative Learning, Comparative Analysis, Interdisciplinary Approach
Yiluo Wang; Lifang Pan – Education and Information Technologies, 2025
At present, when the educational process takes place both in classrooms and remotely, the role of innovative technologies is rapidly increasing. The purpose of the study is to determine the influence of immersive virtual reality in teaching on predictors of emotional intelligence development in university students. The questionnaire method was…
Descriptors: College Students, Computer Simulation, Emotional Intelligence, Technology Integration
Alexandra S. Dylman; Marie-France Champoux-Larsson; Candice Frances – Educational Psychology, 2025
We report four experiments investigating the effect of prosody on listening comprehension in 11-13-year-old children. Across all experiments, participants listened to short object descriptions and answered content-based questions about said objects. In Experiments 1-3, the descriptions were read in an emotionally positive or neutral tone of voice.…
Descriptors: Intonation, Middle School Students, Foreign Countries, Listening Comprehension
Suna-Seyma Uçar; Inigo Lopez-Gazpio; Josu Lopez-Gazpio – Education and Information Technologies, 2025
Recent advancements in large language models (LLMs) have shown potential in enhancing educational practices, particularly in technology-assisted learning environments. This study critically evaluates the reasoning capabilities of LLMs, such as ChatGPT, within the context of chemistry education. We designed targeted adversarial prompts that…
Descriptors: Abstract Reasoning, Thinking Skills, Artificial Intelligence, Technology Uses in Education
Nicholas C. Hindy; Anthony J. Bishara; John R. Pani – Anatomical Sciences Education, 2025
Advances in brain imaging have led to a paradigm shift in neuroscience research, moving from focusing on individual brain structures to investigating neural networks and connections. However, neuroanatomy education still tends to concentrate on discrete brain regions. Two separate experiments in undergraduate neuroscience courses investigated…
Descriptors: Anatomy, Undergraduate Students, Neurosciences, Learning Processes
Abrahamson, Dor; Abdu, Rotem – Educational Technology Research and Development, 2021
Designers of educational modules for conceptual learning often rely on procedural frameworks to chart out interaction mechanics through which users will develop target understandings. To date, however, there has been no systematic comparative evaluation of such frameworks in terms of their consequences for learning. This lack of empirical…
Descriptors: Educational Technology, Mathematics Instruction, Computer Assisted Instruction, Geometry
Berti, Margherita – The EUROCALL Review, 2021
Educational technology tools that improve learning and foster engagement are constantly sought by teachers and researchers. In the domain of Computer-Assisted Language Learning a variety of tools, for instance blogs and podcasts, have been used to promote language and cultural learning (Shih, 2015). More recently, virtual reality has been…
Descriptors: Computer Simulation, Cultural Education, Computer Assisted Instruction, Second Language Learning
Baker, Michael J.; Schwarz, Baruch B.; Ludvigsen, Sten R. – International Journal of Computer-Supported Collaborative Learning, 2021
We present a critical perspective on the current state of research on educational dialogues, within and without Computer-Supported Collaborative Learning environments, in order to propose research perspectives in the intersection of these two domains. Our main proposal is that in order to integrate different types of human or machine analyzed data…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Data Analysis, Man Machine Systems