| Literature DB >> 36176532 |
Juanjuan Zang1, Youngsoon Kim2, Jihe Dong1.
Abstract
Despite significant research on student learning performance, the literature on preschool education is limited. The learning performance of different institutes in China has not been satisfactory, and students are not given enough technological resources to help them improve their learning performance. Although Chinese preschool students are active learners, their learning performance is inadequate. As a result, this research aimed to discover how project-based learning, semi-immersive virtual reality, and mental health influence learning performance. For data collection, 800 questionnaires were distributed to high schools, and 290 valid questionnaires were considered for the data analysis using Smart PLS-SEM. According to the study's findings, project-based learning is critical for improving learning performance. This study's findings are significant because they show that mental health and semi-immersive virtual reality significantly mediate the relationship between project-based learning and learning performance. The study's findings are critical for educational institutions interested in improving student performance through project-based learning opportunities. Furthermore, because it employs an innovative technology acceptance model, this study has significant practical implications for project-based learning and student learning performance.Entities:
Keywords: learning performance; mental health; project-based learning; semi-immersive virtual reality; technological acceptance
Mesh:
Year: 2022 PMID: 36176532 PMCID: PMC9513368 DOI: 10.3389/fpubh.2022.964320
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Theoretical framework.
Skewness and kurtosis.
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| MH1 | 1 | 0 | 3.895 | 0.968 | 0.503 | −0.847 |
| MH2 | 2 | 0 | 3.69 | 1.08 | −0.245 | −0.627 |
| MH3 | 3 | 0 | 3.488 | 1.155 | −0.56 | −0.489 |
| MH4 | 4 | 0 | 3.919 | 0.989 | 0.756 | −0.981 |
| LP1 | 5 | 0 | 4.093 | 0.822 | 1.331 | −1.157 |
| LP2 | 6 | 0 | 3.813 | 1.004 | 0.191 | −0.768 |
| LP3 | 7 | 0 | 3.771 | 1.134 | −0.2 | −0.75 |
| LP4 | 8 | 0 | 3.596 | 1.106 | −0.512 | −0.467 |
| PBL1 | 9 | 0 | 3.608 | 1.178 | −0.535 | −0.533 |
| PBL2 | 10 | 0 | 3.729 | 1.092 | −0.379 | −0.562 |
| PBL3 | 11 | 0 | 3.69 | 1.077 | 0.06 | −0.651 |
| PBL4 | 12 | 0 | 3.97 | 0.915 | 1.394 | −1.079 |
| SIVR1 | 13 | 0 | 3.747 | 1.01 | −0.445 | −0.445 |
| SIVR2 | 14 | 0 | 3.958 | 0.968 | 0.05 | −0.695 |
| SIVR3 | 15 | 0 | 3.831 | 0.932 | 0.26 | −0.666 |
MH, mental health; SIVR, semi-immersive virtual reality; PBL, project-based learning; and LP, learning performance.
Constructs, factor loadings, CR, and AVE.
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| Learning performance | LP1 | I enjoy learning about new topics. | 0.708 | 0.726 | 0.827 | 0.546 |
| LP2 | I like to read diverse topics. | 0.772 | ||||
| LP3 | I find pleasure in learning. | 0.787 | ||||
| LP4 | I feel very good when I know I have outperformed other students. | 0.682 | ||||
| Mental health | MH1 | I am calm and balanced in studies. | 0.756 | 0.707 | 0.817 | 0.528 |
| MH2 | I manage well to learn effectively. | 0.683 | ||||
| MH3 | All in all, I am satisfied with my studies. | 0.799 | ||||
| MH4 | In general, I am confident. | 0.660 | ||||
| Project based learning | PBL1 | I expect myself to support the group's goals. | 0.887 | 0.856 | 0.906 | 0.710 |
| PBL2 | I expect to complete my assignments for the group on time. | 0.914 | ||||
| PBL3 | I expect that I will contribute to the group's success. | 0.904 | ||||
| PBL4 | I expect to learn more on my own than from other group members. | 0.634 | ||||
| Semi-immersive virtual reality | SIVR1 | I was completely captivated by the virtual world. | 0.834 | 0.836 | 0.90 | 0.751 |
| SIVR2 | I felt like it was real in virtual reality. | 0.870 | ||||
| SIVR3 | I had a sense of acting in virtual environment. | 0.895 |
MH, mental health; SIVR, semi-immersive virtual reality; PBL, project-based learning; and LP, learning performance.
Discriminant validity (heterotrait–monotrait—HTMT).
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| 0.814 | |||
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| 0.836 | 0.864 | ||
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| 0.765 | 0.54 | 0.425 |
MH, mental health; SIVR, semi-immersive virtual reality; PBL, project-based learning; and LP, learning performance.
Figure 2Measurement model. MH, mental health; SIVR, semi-immersive virtual reality; PBL, project-based learning; and LP, learning performance.
Figure 3Structural model. MH, mental health; SIVR, semi-immersive virtual reality; PBL, project-based learning; and LP, learning performance.
Hypothesis testing.
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| Direct | PBL -> LP | 0.328 | 0.049 | 6.653 | 0.000 | Significant |
PBL, project-based learning; and LP, learning performance.
Hypothesis moderation testing.
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| Moderation | Moderating Effect 1 -> LP | 0.097 | 0.026 | 3.730 | 0.000 | Significant |
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| Moderation | Moderating Effect 2 -> LP | 0.068 | 0.018 | 3.777 | 0.000 | Significant |
LP, learning performance.
Figure 4Moderation 1. MH, mental health; SIVR, semi-immersive virtual reality; PBL, project-based learning; and LP, learning performance.
Figure 5Moderation 2. MH, Mmental Hhealth; SIVR, Ssemi-Iimmersive Vvirtual Rreality; PBL, Pproject-Bbased Llearning; and LP = Llearning Pperformance.
Predictive relevance.
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| LP | 1,328 | 878.107 | 0.339 |
| MH | 1,328 | 1,328 | |
| PBL | 1,328 | 1,328 | |
| SIVR | 996 | 996 |
MH, mental health; SIVR, semi-immersive virtual reality; PBL, project-based learning; and LP, learning performance.