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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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Hans G. K. Hummel; Rob Nadolski; Hugo Huurdeman; Giel van Lankveld; Konstantinos Georgiadis; Aad Slootmaker; Hub Kurvers; Mick Hummel; Petra Neessen; Johan van den Boomen; Ron Pat-El; Julia Fischmann – Journal of Computer Assisted Learning, 2024
Background: Complex skills, like analytical thinking, are essential in preparing students for future professions. Serious games hold potential to stimulate the online acquisition of such professional skills in an active and experiential way. Objective: Rubrics are proven assessment and evaluation instruments, but were never directly integrated…
Descriptors: Game Based Learning, Scoring Rubrics, Educational Games, Computer Simulation
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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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Carl Boel; Tijs Rotsaert; Martin Valcke; Tammy Schellens – Journal of Computer Assisted Learning, 2025
Background: As immersive virtual reality (IVR) is increasingly being used by teachers worldwide, it becomes pressing to investigate how this technology can foster learning processes. Several authors have pointed to this need, as results on the effectiveness of IVR for learning are still inconclusive. Objectives: To address this gap, we first…
Descriptors: Artificial Intelligence, Computer Simulation, Learning Strategies, Middle School Students
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Ade-Ojo, Gordon O.; Markowski, Marianne; Essex, Ryan; Stiell, Marlon; Jameson, Jill – Journal of Computer Assisted Learning, 2022
Background: Due to recent lockdown conditions, which restricted opportunities for face-to-face contact and the ability to be physically in schools, the need for novel, safe ways to train pre-service teachers emerged even more pressingly. Whilst virtual simulation has received some attention in pedagogy and its benefits have been demonstrated in…
Descriptors: Simulated Environment, Computer Simulation, Preservice Teacher Education, Teaching Methods
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Zhao, Jia-Hua; Yang, Qi-Fan – Journal of Computer Assisted Learning, 2023
Background: As adequate support, virtual reality (VR) has been increasingly introduced into the classroom to help students learn a new language. However, empirical studies exploring the educational potential of using 360° spherical video-based virtual reality (SVVR) in high-school Chinese language classrooms are still lacking. Objectives: A mind…
Descriptors: Foreign Students, High School Students, Foreign Countries, Second Language Learning
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Andersen, Martin Stolpe; Klingenberg, Sara; Petersen, Gustav Bøg; Creed, Peter A.; Makransky, Guido – Journal of Computer Assisted Learning, 2023
Background: Research suggests that head-mounted displays (HMD) can spark situational interest when they are used to provide science learning experiences that are not possible in traditional classroom settings. However, few studies have investigated the lasting effects of using HMDs in an authentic instructional intervention. Objectives: We…
Descriptors: Science Interests, Computer Simulation, Science Instruction, Authentic Learning
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Lin, Xiao-Fan; Liang, Zhong-Mei; Chan, Kan Kan; Li, Wenyi; Ling, Xiaolan – Journal of Computer Assisted Learning, 2022
Background: The contextual and interactive learning research was motivated by the need to enhance the healthcare training effect of caregivers of patients with suspected COVID-19 infection during quarantine. However, there is a lack of effective approaches to integrating mobile contextual learning into interactive learning. Objectives: Therefore,…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
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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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Baceviciute, Sarune; Cordoba, Ainara Lopez; Wismer, Philip; Jensen, Tine Vitved; Klausen, Mikkel; Makransky, Guido – Journal of Computer Assisted Learning, 2022
Background: Immersive virtual reality (VR) is increasingly used in organizational training interventions. However, few studies have systematically investigated VR compared to standard training methods in actual organizational contexts. Objectives: The focus of this study was to evaluate the effectiveness of a VR simulation for training…
Descriptors: Foreign Countries, Computer Simulation, Organizational Learning, Biotechnology
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Makransky, Guido; Borre-Gude, Stefan; Mayer, Richard E. – Journal of Computer Assisted Learning, 2019
The main objective of this study was to examine the effectiveness of immersive virtual reality (VR) as a medium for delivering laboratory safety training. We specifically compare an immersive VR simulation, a desktop VR simulation, and a conventional safety manual. The sample included 105 first year undergraduate engineering students (56 females).…
Descriptors: Computer Simulation, Self Efficacy, Learning Motivation, Comparative Analysis