Research Fellow | Korea Research Institute for Vocational Education and Training (KRIVET) | South Korea
The research work primarily focuses on the intricate relationships between behavioral factors, psychological well-being, and life satisfaction, with a particular emphasis on adolescents and young individuals. At its core, the research investigates how daily lifestyle variables such as sleep duration, emotional regulation, and behavioral consistency shape overall well-being and mental health outcomes over time. By applying advanced data-driven approaches like the autoregressive cross-lagged (ARCL) model, the work provides valuable insights into the bidirectional and longitudinal dynamics between sleep patterns and life satisfaction, highlighting how one influences the other in both the short and long term.This research stands out for its interdisciplinary nature, combining perspectives from psychology, behavioral science, and quantitative analysis. It goes beyond descriptive studies by incorporating predictive statistical modeling to identify causal mechanisms and feedback loops that explain fluctuations in mental well-being. Such precision modeling enables a better understanding of how sleep habits, stress, and daily behavioral rhythms collectively affect emotional balance, especially during critical developmental stages like adolescence.The outcomes contribute to a growing body of knowledge supporting evidence-based policy and intervention strategies. For example, understanding the direct impact of sleep duration on satisfaction and productivity helps guide public health campaigns, educational guidelines, and youth welfare programs. The findings encourage institutions and policymakers to design holistic frameworks that prioritize mental wellness, balanced routines, and psychological stability among younger populations.Furthermore, this line of research has broader implications beyond adolescence. It lays a foundation for lifespan behavioral research, providing models that can be adapted to study adults and aging populations. By integrating quantitative modeling and behavioral observation, the work enhances the predictive capacity of social science research, bridging the gap between theory and practical application.Overall, this research field is devoted to promoting data-informed understanding of human behavior. It emphasizes the importance of lifestyle regulation, emotional awareness, and scientific analysis in fostering sustainable well-being and life satisfaction helping individuals, communities, and institutions align behavioral habits with psychological health for a more resilient and balanced society.
Profiles: Scopus | ORCID | Google Scholar
Featured Publications
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Jung, E. J., & Yoon, H. J. (2025). Issues of AI and human resource development: Applications in education and the arts. Frontiers in AI, 8, 1619980. [Scopus, ESCI]
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Jung, E. J. (2025). Academic control ability as a predictor of life satisfaction in adolescents. EducacionXX1, 28(1), forthcoming. [SSCI, Q1, Impact Factor = 3.0]
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Jung, E. J. (2025). The effects of adolescents’ sleep duration on life satisfaction: Utilizing the autoregressive cross-lagged (ARCL) model. Frontiers in Sleep, 3, 1483543. [Scopus]
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Jung, E. J. (2024). The effects of sleep duration on academic performance satisfaction: The mediating role of study habit control. International Journal of Early Childhood Education (KCI), 30(1), 57–74.
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Jung, E. J., Na, D. M., Park, S. O., & Jang, Y. H. (2021). Improvement measures for the employer support system for workers with industrial disabilities. Health and Welfare, 23(2), 81–105.
Eun Jin Jung’s research advances scientific understanding of behavioral and psychological factors influencing well-being, particularly in youth. By integrating data-driven modeling with human development studies, her work informs educational innovation, mental health policy, and global approaches to sustainable human resource development in the AI era.