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Rebecca Roberts; James Stacey; Susannah Jenner; Eloise Maguire – Review Journal of Autism and Developmental Disorders, 2023
Autistic children's social skills do not always align with those of their neurotypical peers and research suggests that this can negatively impact quality of life. This review aimed to assess the effectiveness of extended reality (XR) interventions in helping autistic children to enhance their social skills. Five electronic databases were…
Descriptors: Autism Spectrum Disorders, Children, Interpersonal Competence, Intervention
Yunxiao Chen; Chengcheng Li; Jing Ouyang; Gongjun Xu – Grantee Submission, 2023
We consider the statistical inference for noisy incomplete binary (or 1-bit) matrix. Despite the importance of uncertainty quantification to matrix completion, most of the categorical matrix completion literature focuses on point estimation and prediction. This paper moves one step further toward the statistical inference for binary matrix…
Descriptors: Statistical Inference, Matrices, Voting, Federal Government
Swan, Garrett; Xu, Jing; Baliutaviciute, Vilte; Bowers, Alex – Cognitive Research: Principles and Implications, 2022
Individuals with homonymous visual field loss (HVFL) fail to perceive visual information that falls within the blind portions of their visual field. This places additional burden on memory to represent information in their blind visual field, which may make visual changes in the scene more difficult to detect. Failing to detect changes could have…
Descriptors: Visual Impairments, Simulation, Visual Perception, Change
Gorney, Kylie; Wollack, James A. – Journal of Educational Measurement, 2022
Detection methods for item preknowledge are often evaluated in simulation studies where models are used to generate the data. To ensure the reliability of such methods, it is crucial that these models are able to accurately represent situations that are encountered in practice. The purpose of this article is to provide a critical analysis of…
Descriptors: Prior Learning, Simulation, Models, Reaction Time
Sun Kyung Kim; Mihyun Lee; Youngho Lee; Younghye Go; Mi Hyeon Park – Education and Information Technologies, 2025
The development of best strategies for improving learning engagement in the field of mental health nursing education, is a challenge for teachers. Using self-reflection, students are facilitated to actively participate in their own learning process, improving their efforts to understand and perform best practice for patients. This study aimed to…
Descriptors: Mental Health, Nursing Education, Computer Simulation, Undergraduate Students
Cynthia Y. Delgado; Richard E. Mayer – Journal of Educational Computing Research, 2025
This study examined whether answering focused explanative questions during pauses in an immersive virtual reality (IVR) lesson on pipetting procedures could enhance learning. The goal was to take a generative learning activity, known to be effective for declarative knowledge with conventional media, to the context of procedural knowledge with…
Descriptors: Computer Simulation, Computer Uses in Education, Laboratory Procedures, Learning Activities
María del Mar Montoya Rodríguez; Francisco J. Molina Cobos; Vanesa Martínez-Valderrey; Pablo Molina Moreno; Sofía Pizzarossa; Julieta Feris; Valentina Compá; Vanessa A. de Souza – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study explores the effectiveness of a virtual reality (VR) application designed to teach Theory of Mind (ToM) skills to children aged 5-6, addressing the gap in research on the use of VR for typically developing children. Background: ToM is a critical skill for social interaction and understanding others' perspectives. Despite…
Descriptors: Theory of Mind, Computer Simulation, Preschool Children, Interpersonal Relationship
Khaleel Asyraaf Mat Sanusi; Deniz Iren; Nardie Fanchamps; Mai Geisen; Roland Klemke – Educational Technology Research and Development, 2025
Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…
Descriptors: Psychomotor Skills, Skill Development, Computer Simulation, Electronic Learning
Kevin Mentzer; Mark Frydenberg; Suhong Li – Information Systems Education Journal, 2025
Virtual Reality has the potential to transform educational experiences. This evolution, from the earliest days of projecting and viewing stereoscopic static images to the immersive headset experiences possible today, allows VR to transport students to new locations, enable them to participate in virtual spaces and simulations, and design 3-D…
Descriptors: Computer Simulation, Business Education, Educational Technology, Technology Uses in Education
Darby Drageset; Yu-Chia Kao; Nigel A. Newbutt; Kent J. Crippen – Research in Science Education, 2025
This exploratory study, framed by the Contextual Model of Learning, sought to define the personal context of autistic visitors and their families attending a sensory-friendly natural history museum event as a science learning experience. The study focused on the motivations and expectations for visiting the museum, as well as how the inclusion of…
Descriptors: Museums, Computer Simulation, Exhibits, Family (Sociological Unit)
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
Harikesh Singh; Li-Minn Ang; Dipak Paudyal; Mauricio Acuna; Prashant Kumar Srivastava; Sanjeev Kumar Srivastava – Technology, Knowledge and Learning, 2025
Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Prediction
Alexis L. d'Amato; Emma Theobald; Madison N. Scott; Joel S. Elson; Samuel T. Hunter – Journal of Creative Behavior, 2025
Through the lens of the similarity-attraction principle, we conducted a pair of studies to examine how perceived physical similarity influences the role similarity and ingroup affinity drives malevolent creativity ideation. Study 1 (N = 305) participants were assigned to teams using the minimal group paradigm and then were given a social threat…
Descriptors: Creativity, Negative Attitudes, Computer Simulation, Psychological Patterns
Tomomi Kubota – Educational Studies in Japan: International Yearbook, 2025
Schools face a range of complex and diverse challenges that are difficult for teachers to address on their own. In response, since 2015, there has been growing demand to promote the concept of the "school as a team,"whereby teachers and other professionals actively collaborate to support students. However, concrete strategies for…
Descriptors: Interprofessional Relationship, Decision Making, School Personnel, Visualization
Rongjuan Zhu; Xiaoliang Ma; Ziyu Wang; Qi Hui; Xuqun You – Cognitive Research: Principles and Implications, 2025
Auditory alarm deafness is a failure to notice a salient auditory signal in a high-load context, which is one of the major causes of flight accidents. Therefore, it is of great practical significance for aviation safety to explore ways to avoid auditory alarm deafness under a high-load scenario. One potential reason for its occurrence could be the…
Descriptors: Short Term Memory, Sensory Experience, Decision Making, Aviation Education

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