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Luis Medina-Gual; José-Luis Parejo – European Journal of Education, 2025
The present research explores AI's impact on education among Mexican undergraduate students through a non-experimental, correlational, cross-sectional study. A validated public questionnaire was distributed to 840 students via Google Forms from February to May 2024. Analysis revealed significant AI exposure and use patterns, primarily influenced…
Descriptors: Artificial Intelligence, Teaching Methods, Ethics, Learning Processes
Fan Zhang; Xiangyu Wang; Xinhong Zhang – Education and Information Technologies, 2025
Intersection of education and deep learning method of artificial intelligence (AI) is gradually becoming a hot research field. Education will be profoundly transformed by AI. The purpose of this review is to help education practitioners understand the research frontiers and directions of AI applications in education. This paper reviews the…
Descriptors: Learning Processes, Artificial Intelligence, Technology Uses in Education, Educational Research
Ailsa Zayyan Salsabila; R. Yugo Kartono Isal; Harry B. Santoso – Journal of Educators Online, 2025
This study aims to provide recommendations for interaction design to enhance students' task interpretation, as one of the crucial aspects of Self-Regulated Learning (SRL) in online learning environments. Utilizing the Engineering Design Metacognitive Questionnaire (EDMQ), open-ended questions, and in-depth interviews, this study examines the…
Descriptors: Learning Processes, Electronic Learning, College Students, Computer Science Education
Glenn Hardaker; Liyana Eliza Glenn – International Journal of Information and Learning Technology, 2025
Purpose: The purpose of this systematic literature review is to identify the antecedents that have enabled the adoption of artificial intelligence (AI) in Higher Education (HE) institutions at both a macro and micro level. The term adoption is in reference to the diffusion of technology that is actively chosen for use by the targeted demographic.…
Descriptors: Artificial Intelligence, Individualized Instruction, Technology Uses in Education, Higher Education
Yinglin Liu; Rui Li; Yue Diao; Meixue Hou; Hua Yuan; Xiuying Zhang – Education and Information Technologies, 2025
Virtual reality (VR) technology has been widely used in nursing laboratory courses to effectively making up for the shortcomings of traditional teaching. However, challenges such as cell phone addiction, negative emotions, and reduced communication between teachers and students still exist during the application process, which makes it difficult…
Descriptors: Undergraduate Students, Learning Processes, Preferences, Nursing Students
Maurizio Costabile; Connie Caruso; Chris Della Vedova; Sheree Bailey; Layla Mahdi – Advances in Physiology Education, 2025
Science, technology, engineering, and mathematics (STEM) students are typically taught content delivered didactically and closely aligned with the laboratory demonstration of concepts, which facilitates the development of experimental skills. Because of the volume of content delivered across multiple courses, student cognitive abilities can be…
Descriptors: Computer Simulation, Computer Software, Learning Processes, Laboratory Training
Liangliang Xia; Kexin Shen; Herui Sun; Xin An; Yan Dong – Education and Information Technologies, 2025
While generative artificial intelligence (AI) empowers students in their learning, it may also have the potential to undermine their learning agency. Understanding student learning agency in the generative AI-supported contexts (SLA-GAI) has become critical for educators. However, student learning agency is a domain-specific construct, current…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
Henry Matovu; Mihye Won; Roy Tasker; Mauro Mocerino; David Franklin Treagust; Dewi Ayu Kencana Ungu; Chin-Chung Tsai – Chemistry Education Research and Practice, 2025
Immersive Virtual Reality (iVR) can help students visualise and explore complex chemical concepts, such as protein enzyme structures and interactions. We designed a set of collaborative iVR-based learning tasks on the interaction between a protein enzyme and its substrate. We investigated how 18 pairs (36 students) in undergraduate chemistry…
Descriptors: Biochemistry, Science Education, Computer Simulation, Technology Uses in Education
Msafiri Mgambi Msambwa; Zhang Wen; Kangwa Daniel – European Journal of Education, 2025
Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…
Descriptors: Influence of Technology, Technology Uses in Education, Artificial Intelligence, Cooperative Learning
Feyzi Kaysi – International Journal of Technology in Education and Science, 2025
Due to the frequent utilization of technological applications in contemporary times, the quality of educational processes is rapidly evolving. This study examines students' experiences through simulation software applications. A mixed-method design is employed due to the combined use of qualitative and quantitative data collection methods.…
Descriptors: Computer Simulation, Computer Software, Learning Processes, Technology Uses in Education
The Imagineering Learning via Metaverse: ILM Model via Metaverse to Promote Creative Thinking Skills
Atthaphon Wongla; Pinanta Chatwattana – Journal of Education and Learning, 2024
The ILM model to promote creative thinking skills is concerning the application of the concepts of virtual technology in the instruction management, which is consistent and appropriate for learners in the digital age, so that they are able to learn anywhere and anytime by means of the brand-new teaching innovations. The objectives of this research…
Descriptors: Creative Thinking, Thinking Skills, Imagination, Models
Jan Delcker; Joana Heil; Dirk Ifenthaler; Sabine Seufert; Lukas Spirgi – International Journal of Educational Technology in Higher Education, 2024
The influence of Artificial Intelligence on higher education is increasing. As important drivers for student retention and learning success, generative AI-tools like translators, paraphrasers and most lately chatbots can support students in their learning processes. The perceptions and expectations of first-years students related to AI-tools have…
Descriptors: Artificial Intelligence, Learning Processes, Higher Education, College Freshmen
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Guido Makransky; Ban M. Shiwalia; Tue Herlau; Steven Blurton – Educational Psychology Review, 2025
Generative artificial intelligence (GenAI) has emerged as a transformative tool in education, offering scalable individualized learning. However, there is a lack of theoretically informed and methodologically rigorous research on how GenAI can effectively augment learning. This manuscript addresses this gap by investigating the potential of a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Processes, College Students
Jinhee Kim; Rita Detrick; Seongryeong Yu; Yukyeong Song; Linda Bol; Na Li – Education and Information Technologies, 2025
Supporting learners in achieving high-level socially shared regulation of learning (SSRL) in the online collaborative learning (OCL) context presents challenges that the utilization of artificial intelligence (AI) technologies may help solve. However, the effective uses of AI to support multifaceted areas (cognition, metacognition, and motivation)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, Cooperative Learning