RESEARCH ON THE INFLUENCE OF TEACHER SATISFACTION IN THE DIGITAL TRANSFORMATION OF SHANDONG HUAYU UNIVERSITY OF TECHNOLOGY, CHINA

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Di Pan

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This research article aims to:collect data from 532 full-time teachers at Shandong Huayu Institute of Technology, a private higher education institution in China, to examine the key factors influencing teachers’ job satisfaction (TJS);explore the impact of six specific factors-Management Style (MS), Regulation of Emotion in the Self (RES), Result Feedback and Motivation (RFM), Work Environment (WE), Self-emotional Appraisal (SEA), and Respect (R)-on teachers’ job satisfaction;verify the effectiveness of a 14-week strategic intervention in improving the identified influencing factors and teachers’ job satisfaction.The data were analyzed by:Multiple linear regression analysis, which was used to examine the relationship between the six influencing factors (MS, RES, RFM, WE, SEA, R) and teachers’ job satisfaction (TJS), and to determine the explanatory power of the model and the strength of the impact of each factor; Paired sample t-tests, which were used to compare the pre-intervention and post-intervention scores of all variables (the six influencing factors and TJS) to verify whether there were statistically significant differences after the intervention.The results of the research were:1.Multiple linear regression analysis showed that all six variables (MS, RES, RFM, WE, SEA, R) had a significant positive influence on teachers’ job satisfaction (TJS), and the regression model explained 57.2% of the variance in TJS (R²=0.572). Among the six factors, Regulation of Emotion in the Self (RES) had the strongest impact (β=0.467), followed by Self-emotional Appraisal (SEA) (β=0.359), and then Respect (R), Management Style (MS), Work Environment (WE), and Result Feedback and Motivation (RFM) in sequence.2.After the implementation of the 14-week strategic intervention (which included group guidance, consultation, improved communication, policy optimization, and improved working conditions), post-intervention data revealed significant improvements in all variables, including the six influencing factors (MS, RES, RFM, WE, SEA, R) and teachers’ job satisfaction (TJS).3.Paired sample t-tests confirmed that there were statistically significant differences (p < .01) between the pre-test and post-test scores of all variables, further verifying the effectiveness of the intervention in enhancing the relevant factors and teachers’ job satisfaction.

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