| Literature DB >> 35874418 |
Yi Zhang1.
Abstract
The study's objective is to examine the impact of teacher ability on student academic performance, identification (self-valued goals; personal importance), and self-regulation skills. Additionally, the study examines the mediating effect of identification (self-valued goals; personal importance) and self-regulation skills between teacher ability and student academic performance. The data was collected by the teachers at different colleges and universities in China and 341 samples were used to analyze the data through a convenient sampling technique. Moreover, partial least square structural equation modeling is used in data analysis with Smart PLS software. This research indicates that teacher ability has a positive and significant effect on student academic performance, identification (self-valued goals; personal importance), and self-regulation skills. Further, the study also discovers that identification (self-valued goals; personal importance) and self-regulation skills significantly mediate between teacher ability and student academic performance. The study is helpful for the teachers to adopt the better strategies and abilities in themselves when they are engaged with the student in teaching activities.Entities:
Keywords: identification; personal importance; positive psychology; self-regulation skills; self-valued goals; student academic performance; teacher ability
Year: 2022 PMID: 35874418 PMCID: PMC9301270 DOI: 10.3389/fpsyg.2022.904731
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Study conceptual framework.
Demographic characteristics.
| Items | Frequency ( | (%) |
|
| ||
| Male | 172 | 50.4 |
| Female | 169 | 49.6 |
|
| ||
| 18–20 | 47 | 13.8 |
| 21–23 | 122 | 35.8 |
| 24–26 | 124 | 36.4 |
| 27–30 | 48 | 14.1 |
|
| ||
| Intermediate | 27 | 7.9 |
| Bachelor | 142 | 41.6 |
| Master | 140 | 41.1 |
| MPhil/Others | 32 | 9.4 |
Reliability and validity analysis.
| Construct | Items | Loading | α | CR | AVE |
| Teacher ability | TA_1 | 0.748 | 0.783 | 0.783 | 0.547 |
| TA_2 | 0.767 | ||||
| TA_3 | 0.702 | ||||
| Identification | ID_1 | 0.680 | 0.846 | 0.846 | 0.524 |
| ID_2 | 0.704 | ||||
| ID_3 | 0.722 | ||||
| ID_4 | 0.714 | ||||
| ID_5 | 0.793 | ||||
| Self-regulation skills | SRS_1 | 0.693 | 0.822 | 0.823 | 0.538 |
| SRS_2 | 0.713 | ||||
| SRS_3 | 0.743 | ||||
| SRS_4 | 0.782 | ||||
| Student academic performance | SAP_1 | 0.730 | 0.867 | 0.866 | 0.566 |
| SAP_10 | 0.844 | ||||
| SAP_11 | 0.746 | ||||
| SAP_2 | 0.811 | ||||
| SAP_3 | 0.717 | ||||
| SAP_4 | 0.740 | ||||
| SAP_5 | 0.766 | ||||
| SAP_6 | 0.706 | ||||
| SAP_7 | 0.643 | ||||
| SAP_8 | 0.775 | ||||
| SAP_9 | 0.723 |
FIGURE 2Graphical representation of assessment of measurement model.
Discriminant validity analysis (Fornell-Larcker and HTMT).
| Constructs | 1 | 2 | 3 | 4 |
| 1. Identification | 0.724 | 0.661 | 0.648 | 0.627 |
| 2. Student academic performance | 0.663 | 0.747 | 0.626 | 0.636 |
| 3. Self-regulation skills | 0.647 | 0.626 | 0.734 | 0.686 |
| 4. Teacher ability | 0.629 | 0.638 | 0.687 | 0.740 |
Variance influence factor.
| Constructs | 1 | 2 | 3 | 4 |
| 1. Identification | 1.936 | |||
| 2. Student academic performance | ||||
| 3. Self-regulation skills | 2.216 | |||
| 4. Teacher ability | 1 | 2.132 | 1 |
Hypotheses testing direct effect.
| Hypothesis | Direct relationships | Std. | Std. error | ||
| H1 | TA → SAP | 0.268 | 0.091 | 2.96 |
|
| H2 | TA → ID | 0.629 | 0.063 | 9.953 |
|
| H3 | TA → SRS | 0.687 | 0.059 | 11.594 |
|
| H4 | ID → SAP | 0.358 | 0.077 | 4.633 |
|
| H5 | SRS → SAP | 0.21 | 0.088 | 2.383 |
|
*Indicates significant paths: *p < 0.05, **p < 0.01, ***p < 0.001.
Hypotheses testing mediation effect.
| Hypothesis | Indirect relationships | Std. | Std. error |
| |
| H4a | TA → SRS → SAP | 0.144 | 0.064 | 2.246 |
|
| H5a | TA → ID → SAP | 0.225 | 0.057 | 3.986 |
|
*Indicates significant paths: *p < 0.05, ***p < 0.001.
FIGURE 3Graphical representation of the structural model.
Quality criteria.
| Latent variables |
|
| Q2 |
|
| ID | 0.396 | 0.394 | 0.16 | |
| SAP | 0.54 | 0.536 | 0.272 | |
| SRS | 0.472 | 0.471 | 0.196 | |
| ID → SAP | 0.144 | |||
| SRS → SAP | 0.043 | |||
| TA → ID | 0.656 | |||
| TA → SAP | 0.073 | |||
| TA → SRS | 0.895 |