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Factors Affecting Teacher Performance and Loyalty Of National Training Program in Yunnan, China |
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| รหัสดีโอไอ | |
| Creator | Wenwen Wang |
| Title | Factors Affecting Teacher Performance and Loyalty Of National Training Program in Yunnan, China |
| Publisher | Assumption University |
| Publication Year | 2566 |
| Journal Title | AU-GSB e-Journal |
| Journal Vol. | 16 |
| Journal No. | 1 |
| Page no. | 112-120 |
| Keyword | Leadership, Knowledge, Climate, Loyalty, Performance |
| URL Website | http://www.assumptionjournal.au.edu/index.php/AU-GSB/article/view/7099 |
| Website title | AU-GSB e-Journal |
| ISSN | 2775 868x |
| Abstract | Purpose: National Training Programme (NTP) an important initiative to promote teacher development in China. Therefore, this research aims to determine critical factors impacting teacher performance and loyalty in Yunnan, China. The conceptual framework presented cause-and-effect relationships between Leadership (LE), Emotion (EM), Commitment (CO), Knowledge (KN), Climate (CL), Loyalty (LO), and Performance (PE). Research design, data, and methodology: The researcher adopted a quantitative technique (n=500) to administer the questionnaire to primary and secondary school teachers in Yunnan Province, China. A non-probability sampling includes judgmental, quota, and convenience sampling to collect data. Before conducting the large-scale questionnaire, the researcher administered Item-Objective Consistency Index (IOC) and a pilot test to 50 respondents. The researcher applied confirmatory factor analysis (CFA) and structural equation modeling (SEM) to conduct the data analysis, including model fit, reliability, and construct validity. Results: The results show that leadership and emotion significantly impact commitment, teacher performance, and loyalty. Knowledge and climate have a significant impact on teacher performance. Climate strongly impacts teacher performance, followed by commitment and knowledge. Conclusions: This study suggests improving the level of training leadership of training leads by developing targeted measures to optimize resourcing options, spending resources on forming professional communities, and optimizing the proportion of investment. |