NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Klingenberg, Sara; Fischer, Rachel; Zettler, Ingo; Makransky, Guido – Journal of Computer Assisted Learning, 2023
Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of…
Descriptors: Computer Simulation, Computer Uses in Education, Secondary School Students, STEM Education
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Makransky, Guido; Klingenberg, Sara – Journal of Computer Assisted Learning, 2022
Objective: Many industries struggle with training dynamic risk assessment, and how to bridge the gap between safety training and behavior in real life scenarios. In this article, we focus on dynamic risk assessment during a mooring operation and investigate the potential value of using immersive virtual reality (VR) simulations compared to…
Descriptors: Computer Simulation, Safety Education, Marine Education, Job Training
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Andersen, Martin S.; Makransky, Guido – Journal of Computer Assisted Learning, 2021
Measuring cognitive load is important in virtual learning environments (VLE). Thus, valid and reliable measures of cognitive load are important to support instructional design in VLE. Through three studies, we investigated the validity and reliability of Leppink's Cognitive Load Scale (CLS) and developed the extraneous cognitive load (EL)…
Descriptors: Test Construction, Test Validity, Test Reliability, Cognitive Processes
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Makransky, Guido; Wismer, Philip; Mayer, Richard E. – Journal of Computer Assisted Learning, 2019
The main objective of this study is to determine whether boys and girls learn better when the characteristics of the pedagogical agent are matched to the gender of the learner while learning in immersive virtual reality (VR). Sixty-six middle school students (33 females) were randomly assigned to learn about laboratory safety with one of two…
Descriptors: Educational Technology, Technology Uses in Education, Gender Differences, Computer Simulation