| Literature DB >> 36033041 |
Songpu Li1, Ruilin Xu1, Zijian Zhao1.
Abstract
Among the beliefs related to teaching work, self-efficacy stands out and encourage innovation across the global education systems. Specifically, the lack of interest among instructors in introducing innovative techniques in physical education is a concern across China. Therefore, this study intends to investigate the role of cognitive indicators (mental workload, decision-making process, innovation in physical education, and self-efficacy) of innovation in physical education across China. This study opted for quantitative techniques, including using a structured questionnaire to collect data from targeted respondents through the survey techniques. Moreover, 800 questionnaires were circulated, and as a result, 420 usable responses were attained, making the overall response rate stand at 40%. The results indicate that the above-stated cognitive factors, along with self-efficacy, have a positive role in causing innovation across the physical education exchequer of China. Likewise, self-efficacy played the mediating role between cognitive indicators and innovation in physical education in China. The study has notable theoretical and practical implications for the policymakers in terms of introducing policies that could help increase the cognitive state of educationists, which in turn possibly will help make them pursue innovation within the education system of China.Entities:
Keywords: bright sides; decision-making process; intention; mental workload; self-efficacy
Year: 2022 PMID: 36033041 PMCID: PMC9399811 DOI: 10.3389/fpsyg.2022.959979
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Research model.
Results of confirmatory factor analysis.
| Variables | Constructs | Loadings | |
| Mental workload | MW1 | I managed to plan my work so that I finished it on time | 0.520 |
| MW2 | I kept in mind the work results I needed to achieve | 0.491 | |
| MW3 | I was able to carry out my work efficiently | 0.877 | |
| MW4 | I took on extra responsibilities | 0.471 | |
| Intention | IN1 | Getting physical education makes me comfortable | 0.926 |
| IN2 | I have avoided physical education innovation | 0.917 | |
| IN3 | Working with a trainer makes me comfortable | 0.859 | |
| Self-efficacy | SE1 | I managed to achieve a fixed objective | 0.805 |
| SE2 | I manage a difficult situation | 0.466 | |
| SE3 | I decide with the risk to fail | 0.457 | |
| SE4 | React adequately facing a failure | 0.484 | |
| Innovation in physical education | IPE1 | I accept new ideas in physical education | 0.715 |
| IPE2 | I want physical education as inventive and creative | 0.662 | |
| IPE3 | I enjoy new methods of physical education | 0.618 | |
| Decision making process | DMP1 | My decision-making is knowledge-based | 0.656 |
| DMP2 | I consider uncertainty and unknowns in my decision-making approach | 0.817 | |
| DMP3 | My decision-making is consistent | 0.794 | |
MW, mental workload; IN, intention; SE, self-efficacy; IPE, innovation in physical education; DMP, decision-making process.
Validity analysis.
| CR | AVE | MSV | MaxR (H) | DMP | MW | IN | SE | IPE | |
| DMP | 0.801 | 0.676 | 0.733 | 0.817 |
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| MW | 0.890 | 0.676 | 0.939 | 0.812 | 0.600 |
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| IN | 0.928 | 0.612 | 0.986 | 0.934 | 0.490 | 0.969 |
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| SE | 0.843 | 0.626 | 0.986 | 0.728 | 0.698 | 0.962 | 0.993 | 0.771 | |
| IPE | 0.705 | 0.644 | 0.837 | 0.710 | 0.856 | 0.859 | 0.715 | 0.915 |
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MW, mental workload; IN, intention; SE, self-efficacy; IPE, innovation in physical education; DMP, decision-making process. The bold values indicate the results for the corresponding statistics for the whole variable, not the items.
***Denotes significance at 1%.
FIGURE 2Measurement model. MW, mental workload; IN, intention; SE, self-efficacy; IPE, innovation in physical education; DMP, decision-making process.
Confirmatory factor analysis model.
| Measure | Recommended threshold | Abbr. | Scores |
| Chi-square/df (CMIN/DF) | <3.0 | 2/df | 2.0018 |
| Comparative fit index | >0.90 | CFI | 0.81 |
| The normed fit index | >0.90 | NFI | 0.78 |
| Goodness of fit | >0.90 | GFI | 0.85 |
| Adjusted goodness of fit | >0.80 | AGFI | 0.79 |
| Root mean square residual | <0.08 | RMR | 0.08 |
| Standardized root mean square residual | <0.08 | SRMR | 0.08 |
| Root mean-square error of approximation | <0.08 | RMSEA | 0.08 |
Discriminant validity—Heterotrait-Monotrait (HTMT).
| DMP | MW | IN | SE | IPE | |
| DMP | |||||
| MW | 0.807 | ||||
| IN | 0.512 | 0.750 | |||
| SE | 0.843 | 0.728 | 0.769 | ||
| IPE | 0.734 | 0.709 | 0.756 | 0.755 |
MW, mental workload; IN, intention; SE, self-efficacy; IPE, innovation in physical education; DMP, decision-making process. The shaded cells are the main results.
Standardized path coefficient.
| Hypotheses | Relationship | Beta | Decision | ||
| H1 | Direct | 0.421 | 3.723 | 0.000 | Accepted |
| H2 | Direct | 0.212 | 3.721 | 0.000 | Accepted |
| H3 | Direct | 0.475 | 3.689 | 0.000 | Accepted |
| H4 | Direct | 0.267 | 3.912 | 0.000 | Accepted |
| H5 | Direct | 0.442 | 4.413 | 0.000 | Accepted |
| H6 | Direct | 0.459 | 3.921 | 0.000 | Accepted |
| H7 | Direct | 0.252 | 4.712 | 0.000 | Accepted |
| H8 | Mediation | 0.432 | 4.627 | 0.000 | Accepted |
| H9 | Mediation | 0.098 | 3.721 | 0.000 | Accepted |