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Lucas Paulsen; Jacob Davidsen – International Journal of Computer-Supported Collaborative Learning, 2025
The development of immersive virtual reality (IVR) hardware and software has accelerated in recent years. The conceptual vocabulary has, however, not received the same amount of attention, especially in the context of collaborative learning settings. Existing concepts such as immersion, presence and interactivity focus predominantly on the…
Descriptors: Cooperative Learning, Computer Simulation, Simulated Environment, Learning Activities
Ali Geris; Nesrin Özdener – Educational Technology Research and Development, 2024
Numerous studies have been carried out in recent years on the use of virtual reality (VR) technologies and environments in education. On the other hand, many researchers have drawn attention to the inadequacy of studies that deal with the education process in virtual reality environments from a broad perspective. In this research, the process of…
Descriptors: Computer Simulation, Educational Environment, Technology Uses in Education, Simulated Environment
Lucas Kohnke – SpringerBriefs in Education, 2024
This book examines teacher professional development (TPD) models to integrate microlearning into TPD training and serves as a concise but comprehensive introduction to the field. This book covers critical teacher professional development and microlearning aspects, including artificial intelligence, virtual reality, augmented reality, and mixed…
Descriptors: Digital Literacy, Competence, Microteaching, Teacher Education Programs
Marjorie Ceballos; Maria Gaspar; Krista Bixler; Kate Ingraham – International Journal of Educational Leadership Preparation, 2025
Simulations are a pedagogical learning tool that supports the preparation of future school leaders for a broad scope of leadership tasks, including instructional leadership. Educational leadership programs are tasked with preparing future leaders to apply effective instructional leadership practices in various types of interactions with teachers,…
Descriptors: Leadership Styles, Communities of Practice, Leadership Training, Computer Simulation
Daniel Sundquist; Maxence Mercier; Samira Bourgeois-Bougrine; Todd Lubart – Journal of Creative Behavior, 2025
Environmental characteristics that have been empirically shown to improve creative outcomes in organizations include furniture and greenery. Virtual environments (VEs) are emerging as new work environments, but their potential to promote creativity has yet to be studied in detail. This work aims to explore which aspects in the holistic perception…
Descriptors: Work Environment, Creativity, Teleworking, Environmental Influences
Dennis Beck; Leonel Morgado; Patrick O'Shea – IEEE Transactions on Learning Technologies, 2024
The educational metaverse promises fulfilling ambitions of immersive learning, leveraging technology-based presence alongside narrative and/or challenge-based deep mental absorption. Most reviews of immersive learning research were outcomes-focused, few considered the educational practices and strategies. These are necessary to provide theoretical…
Descriptors: Educational Practices, Educational Strategies, Computer Simulation, Simulated Environment
Matthew Moreno; Lucia Patino Melo; Keerat Grewal; Negar Matin; Sayed Azher; Jason M. Harley – Metacognition and Learning, 2024
Medical simulations allow trainees to work within teams to develop their self-regulated learning (SRL) and socially-shared regulated learning (SSRL) skills (Bransen et al., 2022). Both skillsets help to better prepare medical trainees for the multifaceted challenges inherent in clinical practice. SRL skills are imperative in empowering learners to…
Descriptors: Data Analysis, Medical Students, Trainees, Self Control
Otman Jaber; Sara Bagossi; Michael N. Fried; Osama Swidan – ZDM: Mathematics Education, 2024
This paper describes how students conceptualize real-life phenomena in which two or more quantities are covarying in an augmented reality environment. With this technology, real-world phenomena and virtual representations may be connected simultaneously. We aim to investigate how students connect elements of the two worlds when conceptualizing…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Qin Wang; Yanping Li – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR), augmented reality (AR) and mixed reality (MR) have sparked recently in improving the effectiveness of teacher education. However, there is a lack of review regarding the utilisation of these technologies in this field. These three technologies, namely VR, AR and MR, can be collectively referred to as extended…
Descriptors: Computer Simulation, Technology Uses in Education, Teaching Methods, Educational Improvement
Skulmowski, Alexander – Mind, Brain, and Education, 2023
Cognitive load measurement is a methodological issue of high importance in all learning settings involving a high perceptual richness, such as virtual and augmented reality. As a result of the growing number of cognitive load measurement methods and surveys, it can be difficult to choose the optimal measurement instrument for learning tasks in…
Descriptors: Cognitive Processes, Difficulty Level, Measurement, Measurement Techniques
Chen, Xu; Zhong, Zheng; Wu, Di – IEEE Transactions on Learning Technologies, 2023
As a third-generation Internet form, the Metaverse has received widespread attention for its spatio-temporal expansion, high immersion, sensory extension, and human--computer integration. Considering the prospect of application in the field of education, a series of studies on the design of Education Metaverse frameworks and applications have…
Descriptors: Computer Simulation, Simulated Environment, Design, Technology Uses in Education
Nawaz, Sadia; Srivastava, Namrata; Yu, Ji Hyun; Khan, Anam Ahmad; Kennedy, Gregor; Bailey, James; Baker, Ryan Shaun – International Journal of Artificial Intelligence in Education, 2022
Task difficulty (TD) reflects students' subjective judgement on the complexity of a task. We examine the TDs data of 236 undergraduate students in a simulation-based "Predict-Observe-Explain (POE)" environment using three different labels "easy," "medium" and "hard." Generally, the students who perceive the…
Descriptors: Difficulty Level, Undergraduate Students, Simulated Environment, Student Behavior
Yilmaz, Oguz; Hebebci, Mustafa Tevfik – International Journal on Social and Education Sciences, 2022
This study examines the scientific studies on the use of virtual environments and simulation programs in teacher training programs. Firstly, a search was made in the Web of Science database using the keywords simSchool and TeachLive. Four of the studies obtained as a result of the screening were excluded for various reasons (such as duplicate or…
Descriptors: Computer Simulation, Simulated Environment, Teacher Education, Preservice Teachers
Yu-Ting Chen; Xin-Xiang Wang; Ming Li; Mutlu Cukurova; Morris Siu-Yung Jong – Education and Information Technologies, 2025
Augmented reality (AR) has been regarded as a useful tool in writing education, with the goal of enhancing students' learning. However, questions still exist about the consistency of student motivation and their writing performance when participating in educational activities driven by AR. This study focused on AR-based writing courses, employing…
Descriptors: Computer Simulation, Simulated Environment, Physical Environment, Synthesis
Ana M. Gallardo-Guerrero; María J. Maciá-Andreu; Noelia González-Gálvez; Raquel Vaquero-Cristóbal; Marta García-Tascón – Education and Information Technologies, 2025
The main objectives of this research were to analyze the impact of the use of augmented reality (AR) for analyzing the safety of sport equipment, on the motivational climate, behavior, and intention to use, and to validate a theoretical model for predicting continuance intention to use AR among students. The sample consisted of 254 university…
Descriptors: Simulated Environment, Safety, Athletics, Equipment

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