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Radovan Šikl; Karla Brücknerová; Hana Švedová; Filip Dechterenko; Pavel Ugwitz; Jirí Chmelík; Hana Pokorná; Vojtech Jurík – Journal of Computer Assisted Learning, 2024
Introduction: Media comparison studies examining the effectiveness of immersive virtual reality in education have yielded inconclusive findings, leaving the question of its impact on learning compared to conventional media unanswered. To address this issue, our study employs a novel approach that combines media comparison with an investigation on…
Descriptors: Computer Simulation, Educational Technology, Secondary School Students, Topography
Daniela Decker; Martin Merkt – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) offers much potential for learning, but it challenges learners' orientation. Objectives: This paper investigates whether it is possible to use light or movement cues to facilitate orientation in a search task in a desktop-VR environment so that participants can better attend to the learning content presented…
Descriptors: Cues, Educational Technology, Computer Simulation, Light
Ronald L. Reyes; Kristina P. Isleta; Jennifer D. Regala; Daisy Mae R. Bialba – Journal of Computer Assisted Learning, 2024
Background: The adoption of virtual laboratories (VLs) has experienced a significant surge, catalysed by the global changes in the educational landscape, notably influenced by the COVID-19 pandemic. Originally supplementary to traditional in-person laboratory experiments, VLs swiftly transitioned into a primary source of hands-on laboratory…
Descriptors: Science Laboratories, Computer Simulation, Educational Technology, Science Instruction
Kang, Youn Gu; Song, Hae-Deok; Yun, Hyejoo; Jo, Yunseong – Journal of Computer Assisted Learning, 2022
Background: This study aims to establish the mechanism by which virtual reality (VR) media characteristics affect learning transfer in a VR-based job-training environment. The two main determinants of learning transfer are the technology and the learner, but not many studies have considered both factors simultaneously. Objectives: This study aims…
Descriptors: Computer Simulation, Job Training, Transfer of Training, Engineering
Shilpi Harnal; Gaurav Sharma; Anupriya; Anand Muni Mishra; Deepak Bagga; Nikhil Saini; Pankaj Kumar Goley; Kumar Anupam – Journal of Computer Assisted Learning, 2024
Background: An innovative and interactive real-world environment can be presented with augmented reality (AR) that comprises digital visual elements, audio, or other sensory information delivered via technology to enhance one's experience. AR has numerous potential applications in various everyday fields. The education sector is one such arena…
Descriptors: Bibliometrics, Computer Simulation, Artificial Intelligence, Educational Technology
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
Han, Insook; Shin, Hyoung Seok; Ko, Yujung; Shin, Won Sug – Journal of Computer Assisted Learning, 2022
Background: Immersive VR is still rarely used as an intervention for meeting the affective end goals of student learning despite its positive impact on affection. Also, studies regarding the use of immersive VR as an intervention for affective achievement in broader educational contexts are still lacking. Objectives: This study aimed to examine…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Program Effectiveness
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
Tingting Wang; Alejandra Ruiz-Segura; Shan Li; Susanne P. Lajoie – Journal of Computer Assisted Learning, 2024
Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…
Descriptors: Problem Solving, Educational Environment, Efficiency, Student Behavior
Valentina Nachtigall; Selina Yek; Nikol Rummel – Journal of Computer Assisted Learning, 2024
Background: With the increasing availability of immersive technologies such as 360° videos for educational purposes, research needs to shift from media comparison studies to value-added studies in order to identify conditions for effective learning with such technologies. For the educational use of history-related virtual reality media, which are…
Descriptors: Computer Simulation, Video Technology, Technology Uses in Education, Educational Technology
Huang, Wen; Roscoe, Rod D.; Johnson-Glenberg, Mina C.; Craig, Scotty D. – Journal of Computer Assisted Learning, 2021
This study investigated changes in learners' motivation, engagement, performance, and spatial reasoning over time and across different levels of virtual reality (VR) immersion. Undergraduate participants explored a virtual solar system via a moderately immersive or highly immersive VR platform over three sessions. In a third condition,…
Descriptors: Student Motivation, Learner Engagement, Academic Achievement, Computer Simulation
Arici, Faruk; Yilmaz, Mehmet – Journal of Computer Assisted Learning, 2023
Background: Augmented reality (AR) is a widely used technology in science education today. Problem-based learning (PBL) is one of the teaching methods employed in science education for a long time. Studies where AR and PBL are used together are new and rare. PBL and AR technology are used together in the study because it is believed that…
Descriptors: Computer Simulation, Problem Based Learning, Science Education, Educational 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
Cheng, Ching-I. – Journal of Computer Assisted Learning, 2023
Background: Taiwan's higher education institutions prioritize interdisciplinary knowledge and cultural competence in cultural design, emphasizing the value of immersion in the local environment to develop cultural competence. However, challenges arise from the disappearance of traditional local lifestyles and limitations of traditional outdoor…
Descriptors: Foreign Countries, Learning Analytics, Handheld Devices, Computer Oriented Programs
Pieter Vanneste; Kim Dekeyser; Luis Alberto Pinos Ullauri; Dries Debeer; Frederik Cornillie; Fien Depaepe; Annelies Raes; Wim Van den Noortgate; Sameh Said-Metwaly – Journal of Computer Assisted Learning, 2024
Background: Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it is unclear how instructional support affects performance in AR. Objectives: This study sought to explore how varying the instructional support in AR can affect performance-related behaviours of…
Descriptors: Computer Simulation, Artificial Intelligence, Cognitive Ability, Student Behavior