An Empirical Study of A Smart Education Model Enabled by the Edu-Metaverse to Enhance Better Learning Outcomes for Students
Abstract
:1. Introduction
2. Potential of the Edu-Metaverse in the Reconstruction of a Smart Education Model
2.1. Current Status of the Edu-Metaverse
2.2. Current Status of Smart Education
2.3. The Use of the Edu-Metaverse in Smart Education
3. The Architecture and Realization of a Smart Education Model Enabled by the Edu-Metaverse
3.1. Theoretical Framework
3.2. Realization of a Smart Education Model in the Edu-Metaverse
3.2.1. The Construction of Smart Teaching Environments
3.2.2. Multimodal Course Resources
3.2.3. Smart Pedagogy in the Context of the Edu-Metaverse
4. Methodology
4.1. Participants
4.2. Research Instruments
4.3. Study Process
4.3.1. Pre-Class: Pushing Multimodal Teaching Resources and Redesigning Teaching Scenario
4.3.2. In-Class: Online Student–Teacher Interaction Phase
4.3.3. After-Class: Online Learning Evaluation Phase
5. Results
5.1. Results of Post-Test
5.2. Results of Questionnaires and Interviews
6. Discussion
6.1. Improve the Design of Teaching Scenarios and Pave the Way for New Knowledge
6.2. Focus on Learning Assessment, Based on Core Competency, from the Perspective of the Edu-Metaverse
6.3. Enhance and Improve Teachers’ Knowledge Architecture in the Edu-Metaverse
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
References
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Effect | Value | F | Hypothesis df | Error df | Sig. | |
---|---|---|---|---|---|---|
Intercept | Pillai’s Trace | 0.995 | 1763.860 b | 6.000 | 53.000 | 0.000 |
Wilks’ Lambda | 0.005 | 1763.860 b | 6.000 | 53.000 | 0.000 | |
Hotelling’s Trace | 199.682 | 1763.860 b | 6.000 | 53.000 | 0.000 | |
Roy’s Largest Root | 199.682 | 1763.860 b | 6.000 | 53.000 | 0.000 | |
Groups | Pillai’s Trace | 0.769 | 29.477 b | 6.000 | 53.000 | 0.000 |
Wilks’ Lambda | 0.231 | 29.477 b | 6.000 | 53.000 | 0.000 | |
Hotelling’s Trace | 3.337 | 29.477 b | 6.000 | 53.000 | 0.000 | |
Roy’s Largest Root | 3.337 | 29.477 b | 6.000 | 53.000 | 0.000 |
Source | Dependent Variable | Type III Sum of Squares | df | Mean Square | F | Sig. |
---|---|---|---|---|---|---|
Group | Reading | 212.817 | 1 | 212.817 | 146.887 | 0.000 |
Role Play | 43.350 | 1 | 43.350 | 60.392 | 0.000 | |
Translation | 64.067 | 1 | 64.067 | 98.130 | 0.000 | |
Vocabulary and Grammar | 114.817 | 1 | 114.817 | 88.989 | 0.000 | |
Reading Comprehension | 129.067 | 1 | 129.067 | 57.290 | 0.000 | |
Writing | 166.667 | 1 | 166.667 | 133.641 | 0.000 | |
Overall Results | 4116.817 | 1 | 4116.817 | 150.612 | 0.000 |
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Shu, X.; Gu, X. An Empirical Study of A Smart Education Model Enabled by the Edu-Metaverse to Enhance Better Learning Outcomes for Students. Systems 2023, 11, 75. https://doi.org/10.3390/systems11020075
Shu X, Gu X. An Empirical Study of A Smart Education Model Enabled by the Edu-Metaverse to Enhance Better Learning Outcomes for Students. Systems. 2023; 11(2):75. https://doi.org/10.3390/systems11020075
Chicago/Turabian StyleShu, Xiaoyang, and Xiaoqing Gu. 2023. "An Empirical Study of A Smart Education Model Enabled by the Edu-Metaverse to Enhance Better Learning Outcomes for Students" Systems 11, no. 2: 75. https://doi.org/10.3390/systems11020075
APA StyleShu, X., & Gu, X. (2023). An Empirical Study of A Smart Education Model Enabled by the Edu-Metaverse to Enhance Better Learning Outcomes for Students. Systems, 11(2), 75. https://doi.org/10.3390/systems11020075