Please use this identifier to cite or link to this item: https://dspace.rmutk.ac.th/jspui/handle/123456789/4972
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dc.contributor.authorNa ZHANG-
dc.date.accessioned2026-02-25T13:38:24Z-
dc.date.available2026-02-25T13:38:24Z-
dc.date.issued2024-
dc.identifier.urihttps://dspace.rmutk.ac.th/jspui/handle/123456789/4972-
dc.descriptionA Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Management in Management Science Institute of Science Innovation and Culture Rajamangala University of Technology Krungthep Academic Year 2024 Copyright of Rajamangala University of Technology Krungthep, Thailanden_US
dc.description.abstractIn the era of globalization and the knowledge economy, vocational education is crucial for developing highly skilled professionals, with teaching quality closely tied to the stability and vitality of the teaching staff. Vocational school teachers, who play a central role in skill transmission, face numerous pressures stemming from their responsibilities in teaching, research, and community service. Emotional labor, self-adaptability, and social support have a significant impact on their mental health and work fatigue levels. Educational reforms, such as the implementation of the 108 curriculum guidelines, have increased work stress for teachers. A survey by the King Car Education Foundation (2019) revealed that only 20% of teachers felt prepared for these reforms, highlighting the unpreparedness and pressure felt by the majority. Teachers face challenges, including time-consuming assessments, interdisciplinary collaboration, and difficulties in parent-teacher communication. This study, therefore, aims to investigate the factors influencing work fatigue across four key aspects: demographic factors, emotional labor, self-resilience, and social support. The quantitative method based on questionnaires is applied. Descriptive statistics, including frequency, percent frequency, mean, and standard deviation, are introduced. Various inferential statistical methods are used to test hypotheses, particularly the independent samples t-test, the one-way ANOVA, and the multiple linear regression analysis. The results obtained from the study indicate that differences in age and primary teaching subjects generate differences in work fatigue, while differences in gender, marital status, work experience, and work position generate no differences in work fatigue. The results obtained from the multiple linear regression analyses indicate that surface acting has a significant positive impact on work fatigue. All aspects of self-resilience (recovery orientation and exploration orientation) are found to have positive impacts on work fatigue. All aspects of social support (direct effect and buffering effect) are found to have positive impacts on work fatigue. Finally, emotional labor, self-resilience, and social support are found to have positive impacts on work fatigue.en_US
dc.description.sponsorshiplibrary.oarit@mail.rmutk.ac.then_US
dc.language.isoenen_US
dc.publisherRajamangala University of Technology Krungthep, the Institute of Science, Innovation, and Cultureen_US
dc.subjectMaster' degreeen_US
dc.subjectEmotionsen_US
dc.subjectSelf -- resilienceen_US
dc.subjectLaboren_US
dc.subjectResilience (Personality trait)en_US
dc.subjectSocial Supporten_US
dc.subjectWork Fatigueen_US
dc.titleThe Study of Positive Work Environment Towards Work Fatigue of Vocational School Teachersen_US
dc.typeThesisen_US
Appears in Collections:Master’s Thesis

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