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Reduction of Academic Burnout in Preservice Teachers: PLS-SEM Approach


Tommy Tanu Wijaya

Mohammad Fauziddin
doi: 10.3390/su142013416
Academic stress and burnout are the predominant factors that can negatively affect student performance and sustainable learning. Therefore, it is important to analyze the factors related to student academic burnout in preservice teachers in western China. 212 respondents from public universities in Guangxi Province participated, and the data were analyzed using partial least-squares structural equation modeling (PLS-SEM) to check reliability, validity, and initial hypothesis testing. The results show that perfectionism, excessive self-efficacy, and workload are the main factors causing academic stress and burnout in preservice teachers. These problems can be reduced by increasing self-efficacy and coping strategies of preservice teachers. In addition, this study provides important knowledge to universities based on factors related to preservice teachers’ academic stress and burnout, as well as strategies and solutions to reduce these problems in students.
- BEIJING NORMAL UNIVERSITY China (People's Republic of)
- Universitas Pahlawan Tuanku Tambusai Indonesia
- Guangxi Normal University China (People's Republic of)
- Qinzhou University China (People's Republic of)
- Universitas Pahlawan Tuanku Tambusai Indonesia
academic stress, Environmental effects of industries and plants, TJ807-830, academic burnout, coping strategies, TD194-195, Renewable energy sources, workload, Environmental sciences, GE1-350, self-efficacy
academic stress, Environmental effects of industries and plants, TJ807-830, academic burnout, coping strategies, TD194-195, Renewable energy sources, workload, Environmental sciences, GE1-350, self-efficacy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
