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Ambroise Baillifard; Maxime Gabella; Pamela Banta Lavenex; Corinna S. Martarelli – Education and Information Technologies, 2025
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with learning sciences. A semester-long study was conducted at UniDistance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Effectiveness, Learning Strategies
Lingfei Luan; Xi Lin; Yan Dai – Open Praxis, 2025
This paper investigates how ChatGPT, an AI chatbot developed by OpenAI, can be introduced to STEM education, specifically, an "Introduction to Cognitive Neuroscience" class. Using mixed-method research, the study conducted an experiment to collect students' performance scores and their feedback to examine the potential impacts from…
Descriptors: Artificial Intelligence, STEM Education, Neurosciences, Student Attitudes
Claude, ChatGPT, Copilot, and Gemini Performance versus Students in Different Topics of Neuroscience
Volodymyr Mavrych; Ahmed Yaqinuddin; Olena Bolgova – Advances in Physiology Education, 2025
Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical neuroscience. This research compared the performances of Claude 3.5 Sonnet (Anthropic), GPT-3.5 and…
Descriptors: Artificial Intelligence, Computer Software, Neurosciences, Medical Education
David A. Sousa – Corwin, 2024
In a world where technology is increasingly dominant, it is critical to understand how it affects students' brains and behavior--for better and for worse. This new edition from bestselling educational neuroscience author David Sousa offers research-based, practical solutions and serves as a framework for educators who want to effectively leverage…
Descriptors: Brain, Neurosciences, Educational Technology, Cognitive Processes
Julien S. Murphy; Constance Mui – Educational Philosophy and Theory, 2025
A leading critic of the disruptive force of technology in education, Bernard Stiegler saw the counter-effects of artificial intelligence in undermining human agency, autonomy and individuality, rendering the role of education ever more critical. Stiegler believes that our goal is not to abandon technology but to focus our attention on its power…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Writing (Composition)
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)
Adi Korisky; Ido Davidesco; Ofek Ben-Abu; Orel Levy; Klil Abrahami; Orly Geri; Elana Zion Golumbic – Mind, Brain, and Education, 2024
Students' school requirements and learning activities engage many different cognitive processes, including language processing, memory, learning, attention, reasoning, decision-making, and social interaction. However, students rarely learn about these cognitive processes, or the brain mechanisms underlying them and therefore lack the critical…
Descriptors: Neurosciences, Artificial Intelligence, Computer Software, Learning Activities
Zhao Wanli; Tang Youjun; Ma Xiaomei – SAGE Open, 2025
Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…
Descriptors: Bibliometrics, Second Language Learning, Computer Science, Educational Research
Claudia De Barros Camargo; Antonio Hernández Fernández – Educational Process: International Journal, 2024
Background/Purpose: This study investigates the integration of neuropedagogy, neuroimaging, artificial intelligence (AI), and deep learning in educational systems. The research aims to elucidate how these technologies can be synergistically applied to optimize learning processes based on individual neurocognitive profiles, thereby enhancing…
Descriptors: Artificial Intelligence, Educational Practices, Intelligent Tutoring Systems, Neurosciences