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Fengjuan Wang; Azilawati Jamaludin; Aik Lim Tan – Learning: Research and Practice, 2025
The neurocognitive mechanisms underlying prevalent learning disorders, such as dyslexia, dyscalculia, and their comorbidity, remain unclear and are the subject of ongoing debate. The core-deficit hypothesis has long been the dominant theory explaining these mechanisms across various learning disorders. However, this hypothesis faces criticism for…
Descriptors: Dyslexia, Learning Disabilities, Artificial Intelligence, Computer Simulation
Esen Gökçe Özdamar – Sport, Education and Society, 2025
Three-dimensional thinking, observation, and practice have long been an important part of architectural education. Reduced awareness of corporeality and the senses can impair a student's capacity to create and develop an architectural environment holistically. Simulation programmes are an important tool to fill this gap, as they can broaden a…
Descriptors: Architectural Education, Spatial Ability, Aquatic Sports, Kinesthetic Methods
Malte Rolf Teichmann – IEEE Transactions on Learning Technologies, 2025
Due to the rise of virtual reality and the--at least now--hypothetical construct of the Metaverse, learning processes are increasingly transferred to immersive virtual learning environments. While the literature provides few design guidelines, most papers miss an application and evaluation description of the design and development processes. As a…
Descriptors: Instructional Design, Computer Simulation, Educational Environment, Learning Processes
Megan E. Welsh; Kayce L. Mastrup – Educational Technology Research and Development, 2025
This paper explores the potential of new, technology enriched teaching simulations (Simulations) to support learning. Using the principles of evidence-centered design (ECD; Mislevy et al., Measurement: Interdisciplinary Research and Perspectives. 1:3-62, 2003), we provide a roadmap for the design of: (a) simulation-based assessments (SBAs) and (b)…
Descriptors: Computer Simulation, Technology Uses in Education, Student Evaluation, Instructional Effectiveness
Austin C. Kozlowski; James Evans – Sociological Methods & Research, 2025
Large language models (LLMs), through their exposure to massive collections of online text, learn to reproduce the perspectives and linguistic styles of diverse social and cultural groups. This capability suggests a powerful social scientific application--the simulation of empirically realistic, culturally situated human subjects. Synthesizing…
Descriptors: Artificial Intelligence, Social Science Research, Computer Simulation, Research Methodology
Mark Mohan Kaggwa; Precious Agboinghale; Diana Marginean; Gary Andrew Chaimowitz; Andrew Toyin Olagunju – Discover Education, 2025
This article explores the integration of virtual reality (VR) in medical education, highlighting its transformative potential and benefits over traditional teaching methods. While VR enhances skills acquisition and patients interaction competencies, challenges such as high upfront costs, misconceptions, and unequal access remain. The incorporation…
Descriptors: Computer Simulation, Medical Education, Technology Uses in Education, Physical Environment
Chenghao Wang; Bin Zou – TESOL Journal, 2025
Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Uses in Education, Second Language Instruction
Evaluative Feedback Isn't Enough: Harnessing the Power of Consequential Feedback in Higher Education
Kathleen M. Quinlan; Edd Pitt – Assessment & Evaluation in Higher Education, 2025
Most research on feedback in higher education focuses on evaluative feedback and its recipience, uptake, and enactment. Evaluative feedback information includes judgments, critiques and suggestions for improvement provided by a teacher, peer, self, pre-programmed automatic feedback, or artificial intelligence tutoring systems. In contrast, we…
Descriptors: Feedback (Response), Concept Formation, Higher Education, Health Education
Alanna L. Peebles; Godfried A. Asante; Rati Kumar – Communication Teacher, 2025
In our globalized interconnected world, intercultural and interpersonal communication competencies are essential. Virtual reality (VR) narrative-based scenarios offer a unique opportunity to foster these competencies by simulating quality contact with people of different races, religions, and other identities. This activity had students meet and…
Descriptors: Intercultural Communication, Computer Simulation, Personal Narratives, Technology Uses in Education
Yushan Kuerban; Solomon Sunday Oyelere; Ismaila Temitayo Sanusi – International Journal of Technology in Education and Science, 2025
Dyslexia is a learning disability that significantly hinders students' abilities to read and comprehend educational materials, posing a substantial challenge within educational environments. This paper introduces an innovative educational system, ReadSmart, that integrates both Augmented Reality (AR) and Generative Artificial Intelligence (GenAI)…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Simulation
Emmanuel Dumbuya – Online Submission, 2025
The exponential growth of online learning has catalyzed significant pedagogical innovations and transformed the educational landscape. This paper explores the emerging trends in online learning, including the shift towards blended learning, the rise of personalized learning, and the integration of technology-enhanced pedagogical practices. The…
Descriptors: Educational Trends, Electronic Learning, Educational Innovation, Teaching Methods
Silvia Heubach; Tuyetdong Phan-Yamada – Journal of Statistics and Data Science Education, 2025
We describe a hands-on project in which students collect data on the impact of distracted driving on driver reaction time. Initially they do this in class via a virtual driving applet, using themselves and fellow students as test subjects. Different applet versions simulate driving with and without distraction and measure the time it takes to…
Descriptors: Statistics, Relevance (Education), Student Projects, Experiential Learning
David Tomczyk; Atul Teckchandani – Management Teaching Review, 2025
Despite the many theories supporting experiential learning, there is little guidance on how to design effective experiential exercises. To address this gap, we adapt insights from gamification research to devise a step-by-step process that management instructors may use to design effective experiential exercises for use in face-to-face and virtual…
Descriptors: Experiential Learning, Gamification, In Person Learning, Electronic Learning
Mukesh Kumar Rohil; Saksham Mahajan; Trishna Paul – Education and Information Technologies, 2025
Intelligent Tutoring Systems (ITS) and Augmented Reality (AR) have become greatly popular in current scenario, especially for helping students in mastering difficult subjects through a variety of different methods with the implementation of smart algorithms. There are many papers in the current literature that discuss the ITS architecture and the…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Physical Environment, Simulated Environment
Michael Hast – Higher Education Studies, 2025
The rapid shift towards online learning in higher education has transformed the landscape of essential academic skills, with presentation abilities emerging as a crucial competency for student success. This paper addresses the challenges and opportunities associated with teaching presentation skills in a distance education context. Traditional…
Descriptors: Distance Education, Computer Simulation, Online Courses, Outcomes of Education
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