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Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
Idit Adler; Liat Liberman; Ilana Dubovi – Journal of Computer Assisted Learning, 2025
Background: This study investigates the effect of immersion levels in virtual reality (VR) learning environments on the acquisition of declarative and procedural knowledge. Prior research indicates that immersion affects cognitive load, but its impact on declarative and procedural knowledge outcomes remains unclear. This study utilises a…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Outcomes of Education
Janetta Adelle Robins Boone – ProQuest LLC, 2024
This dissertation aimed to expand knowledge and practical uses of educational technology tools in high-stakes team training environments. This study depicted the real-world impacts of virtual reality (VR) technology on learning and training for the Royal New Zealand Police Academy and those training teams in high-stakes environments.…
Descriptors: Cognitive Processes, Difficulty Level, Police Education, Police
Yuko Suzuki; Fridolin Wild; Eileen Scanlon – Journal of Computer Assisted Learning, 2024
Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Physiology
Jingjing Ma; Qingtang Liu; Shufan Yu; Xiaojuan Li; Jindian Liu – Educational Technology Research and Development, 2025
In science education, the abstraction and complexity of scientific concepts are usually stumbling blocks that prevent students from learning science. Recently, augmented reality (AR) has offered transformative potential to support scientific concept learning by visualizing scientific phenomena and enhancing students' experiences. However, the lack…
Descriptors: Scientific Concepts, Concept Mapping, Cognitive Structures, Cognitive Processes
Buchner, Josef; Buntins, Katja; Kerres, Michael – Journal of Computer Assisted Learning, 2022
Background: Previous studies on augmented reality-enriched learning and training indicated conflicting results regarding the cognitive load involved: some authors report that AR can reduce cognitive load, others have shown that AR is perceived as cognitively demanding and can lead to poorer performance. Objectives: The aim of this study is to…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Difficulty Level
Mohammed Ali Mohsen; Tahani Salman Alangari – Education and Information Technologies, 2024
This study aims to analyze the research outputs of immersive technology in the field of education for the past two decades. To this end, we retrieved 2665 articles that contained 75674 valid references from the Scopus database for the period between 2001-2021. Several structural and temporal metrics were used to find out the emerging topics…
Descriptors: Technology Uses in Education, Educational Research, Educational Trends, Computer Simulation
Jiaxu Liu; Qingtang Liu; Shufan Yu; Jingjing Ma; Mengfan Liu; Linjing Wu – Education and Information Technologies, 2024
Virtual reality learning environment (VRLE), which allow students to transcend time and space and provide them with a sense of immersion, is becoming more common in education. Although many studies have explored the effects of VRLE on learners' learning outcomes as well as learning experiences, the results of these studies indicate that the…
Descriptors: Personal Autonomy, Student Characteristics, Outcomes of Education, Cognitive Processes
Huda S. Alazmi; Ghader M. Alemtairy – Education and Information Technologies, 2024
There is increasing educational interest in immersive virtual reality (IVR) applications which aid student learning and performance. However, few empirical studies have investigated the potential for implementing the technology in middle-school social studies classrooms. This study employed a quasi-experimental approach to address this issue,…
Descriptors: Computer Simulation, Field Trips, Middle School Students, Social Studies
Süleyman Özdel; Can Sarpkaya; Efe Bozkir; Hong Gao; Enkelejda Kasneci – International Educational Data Mining Society, 2025
Transforming educational technologies through the integration of large language models (LLMs) and virtual reality (VR) offers the potential for immersive and interactive learning experiences. However, the effects of LLMs on user engagement and attention in educational environments remain open questions. In this study, we utilized a fully…
Descriptors: Technology Uses in Education, Educational Technology, Artificial Intelligence, Computer Simulation
Bin Shen; Weili Xing; Ziqian Lin; Michael Yi-Chao Jiang; Di Zou; Morris Siu-Yung Jong – Asia-Pacific Education Researcher, 2025
Writing is closely related to contextual experiences about the topics. However, in traditional EFL writing classes, learners' lack of in-depth experience in learning contexts may be the leading cause rendering students' poor writing performance. To address this problem, a quasi-experimental study was conducted to investigate the impacts of a…
Descriptors: Technology Uses in Education, Video Technology, Computer Simulation, Technology Integration
Tingting Wang; Juan Zheng; Susanne P. Lajoie – Educational Technology & Society, 2025
Previous studies have confirmed the pivotal roles of student engagement in predicting learning achievements; however, only a few emphasized the patterns of different engagement dimensions within individuals (i.e., co-occurrences of behavioral, cognitive, and emotional engagement). Thus, this study identifies engagement profiles and explores their…
Descriptors: Medical Students, Technology Uses in Education, Educational Technology, Computer Simulation
Avatars vs. Video Presence: Effects of Instructor Presence on Cognitive Load in Video-Based Learning
Yuli Sutoto Nugroho; Marie-Luce Bourguet; Hamit Soyel; Isabelle Mareschal – Electronic Journal of e-Learning, 2025
This study examines the impact of instructor presence on cognitive load and learning outcomes in video-based learning environments, addressing a significant gap in optimising instructional design for digital education. Utilising eyetracking technology to measure pupil dilation, a reliable proxy for cognitive load, this research compares three…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Video Technology
Baceviciute, Sarune; Lucas, Gordon; Terkildsen, Thomas; Makransky, Guido – Journal of Computer Assisted Learning, 2022
Background: The increased availability of immersive virtual reality (IVR) has led to a surge of immersive technology applications in education. Nevertheless, very little is known about how to effectively design instruction for this new media, so that it would benefit learning and associated cognitive processing. Objectives: This experiment…
Descriptors: Computer Simulation, Simulated Environment, Eye Movements, Diagnostic Tests
Chou, Yin-Yu; Wu, Pei-Fen; Huang, Chun-Yen; Chang, Shan-Hsi; Huang, Hwa-Shan; Lin, Wei-Min; Lin, Man-Li – Asia-Pacific Education Researcher, 2022
This study explores whether learning approaches combining augmented reality and multidimensional concept maps (ARMCMs) would improve learning effectiveness, learning motivation, learning satisfaction, and cognitive load more than multidimensional concept maps (MCMs) and augmented reality (AR) learning do. The study employed a quasi-experimental…
Descriptors: Computer Simulation, Concept Mapping, Learning Motivation, Instructional Effectiveness

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