Co-Reflection Versus Self-Reflection in Graphic Organizer-Facilitated Training in the Metaverse: Evidence From Students’ Knowledge Gains, Perceptions, and Case-Handling Performances

In vocational education and training, developing students’ communication, teamwork, reflection, and problem-solving skills has become increasingly important. Previous studies have integrated practical cases into metaverse-based courses using the Problem-Guiding, Exploration, and Reflection (PER) process supported by graphic organizers; however, students’ critical thinking depth has remained limited. To address this issue, this study proposed a graphic organizer-supported, co-reflection-based PER metaverse (GCR-PERM) learning model. An experimental study was conducted with 81 third-year nursing students enrolled in a Pediatric Epilepsy Management course at a university of science and technology in northern Taiwan. Forty-two students in the experimental group used GCR-PERM, while 39 students in the control group used a graphic organizer-supported self-reflection-based PER model (GSR-PERM). The results showed that GCR-PERM significantly improved students’ learning achievement, problem-solving tendencies, and collaboration tendencies compared with GSR-PERM. In terms of cognitive load, GCR-PERM did not increase mental workload, although it required greater mental effort. Regarding case-handling performance, the experimental group demonstrated significant improvements in judgment, accuracy, and application, but no significant difference was found in analysis. These findings indicate that GCR-PERM is an effective approach for enhancing nursing students’ case-handling and problem-solving abilities in metaverse-based learning environments.

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Publication Details

Journal
Journal of Educational Computing Research
Published
2026-08-21
DOI
https://doi.org/10.1177/07356331261479576
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

Co-Reflection Versus Self-Reflection in Graphic Organizer-Facilitated Training in the Metaverse: Evidence From Students’ Knowledge Gains, Perceptions, and Case-Handling Performances

Gwo‐Jen Hwang, Chun‐Chun Chang
Journal of Educational Computing Research
Simulation-Based Education in Healthcare
article

Co-Reflection Versus Self-Reflection in Graphic Organizer-Facilitated Training in the Metaverse: Evidence From Students’ Knowledge Gains, Perceptions, and Case-Handling Performances

Gwo‐Jen Hwang, Chun‐Chun Chang
article en

Abstract

In vocational education and training, developing students’ communication, teamwork, reflection, and problem-solving skills has become increasingly important. Previous studies have integrated practical cases into metaverse-based courses using the Problem-Guiding, Exploration, and Reflection (PER) process supported by graphic organizers; however, students’ critical thinking depth has remained limited. To address this issue, this study proposed a graphic organizer-supported, co-reflection-based PER metaverse (GCR-PERM) learning model. An experimental study was conducted with 81 third-year nursing students enrolled in a Pediatric Epilepsy Management course at a university of science and technology in northern Taiwan. Forty-two students in the experimental group used GCR-PERM, while 39 students in the control group used a graphic organizer-supported self-reflection-based PER model (GSR-PERM). The results showed that GCR-PERM significantly improved students’ learning achievement, problem-solving tendencies, and collaboration tendencies compared with GSR-PERM. In terms of cognitive load, GCR-PERM did not increase mental workload, although it required greater mental effort. Regarding case-handling performance, the experimental group demonstrated significant improvements in judgment, accuracy, and application, but no significant difference was found in analysis. These findings indicate that GCR-PERM is an effective approach for enhancing nursing students’ case-handling and problem-solving abilities in metaverse-based learning environments.

Journal of Educational Computing Research
Chang Gung University of Science and Technology (TW), National Taiwan University of Science and Technology (TW), National Taichung University of Education (TW), Yuan Ze University (TW)
Ministry of Education, India, National Taiwan University, National Taiwan University of Science and Technology, National Science and Technology Council
Quality Education
Openalex Percentile: Top 10%
Simulation-Based Education in Healthcare
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