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Meehyun Yoon; Koun Choi; Seonghye Yoon; Il-Hyun Jo – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) is becoming increasingly accessible and being utilized in various organizations to meet education and training needs. Despite its potential, research regarding VR applications has focused on measuring the effectiveness of VR programs relative to non-VR programs; consequently, the ways in which VR programs are…
Descriptors: Computer Simulation, Training, Program Effectiveness, Training Methods
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Meiyan Huang; Tang Yongquan – Journal of Computer Assisted Learning, 2025
Aim: In recent years, the integration of cutting-edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting-edge technology on enhancing performance, efficiency, and outcomes in professional ST programs. Purpose: The purpose of…
Descriptors: Athletics, Technology, Influence of Technology, Training
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Cynthia Y. Delgado; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Background: In recent years, immersive virtual reality in education has garnered attention, however, there have been mixed findings on the efficacy of IVR in education. Thus, exploring which strategies are effective in transferring learning from IVR to real-world applications is imperative. Objective: This study aims to investigate the efficacy of…
Descriptors: Computer Simulation, Experiential Learning, Instructional Effectiveness, Transfer of Training
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Timothy Gallagher; Bert Slof; Marieke van der Schaaf; Ryo Toyoda; Yusra Tehreem; Sofia Garcia Fracaro; Liesbeth Kester – Journal of Computer Assisted Learning, 2024
Background: The potential of learning analytics dashboards in virtual reality simulation-based training environments to influence occupational self-efficacy via self-reflection phase processes in the Chemical industry is still not fully understood. Learning analytics dashboards provide feedback on learner performance and offer points of comparison…
Descriptors: Learning Analytics, Self Efficacy, Reflection, Chemistry
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Tang, Yuk Ming; Ng, George Wing Yiu; Chia, Nam Hung; So, Eric Hang Kwong; Wu, Chun Ho; Ip, Wai Hung – Journal of Computer Assisted Learning, 2021
Nowadays, patients' safety is the top priority for medical services around the world. However, it is believed that many of the adverse events in hospitals are preventable. Type and screen (T&S) procedures require intense practical training by each medical practitioner in each hospital. This study applied an interactive Virtual Reality (VR)…
Descriptors: Computer Simulation, Medical Education, Readiness, Physicians
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Feng, Zhenan; González, Vicente A.; Mutch, Carol; Amor, Robert; Cabrera-Guerrero, Guillermo – Journal of Computer Assisted Learning, 2021
Children are vulnerable in earthquakes, but they are also essential to foster earthquake-resilient communities. It is critical to enhance the preparedness of children against earthquakes through effective education and training. Immersive virtual reality (IVR) and serious games (SGs) are innovative digital technologies that enable realistic and…
Descriptors: Computer Simulation, Educational Games, Seismology, Emergency Programs
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Sebastian, Katharina; Ghose, Tandra; Huff, Markus – Journal of Computer Assisted Learning, 2018
Humans segment naturalistic actions into meaningful units. These are hierarchically organized: multiple fine events are part of a coarse event. We investigated how repeated practice of a virtual sequential assembly task influences learning of coarse and fine assembly steps. In Experiment 1, participants (N = 10) parsed the task into coarse and…
Descriptors: Drills (Practice), Memory, Computer Simulation, Program Effectiveness