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Variables affecting first-year student commitment during the transition to college in Ireland
Natasha Daniels1, Jerome Sheahan2, Pádraig MacNeela1
1School of Psychology.
Health Promotion International
|July 21, 2019
Summary
Student well-being is crucial for academic persistence and commitment during the first year of college. Integrating well-being into retention models enhances student success and addresses public health concerns.
Area of Science:
- Higher Education
- Student Affairs
- Public Health
Background:
- High international student attrition rates necessitate improved retention strategies.
- Student well-being is increasingly recognized as a critical public health issue.
- Traditional academic models for student persistence often overlook well-being factors.
Purpose of the Study:
- To investigate the role of student well-being as a predictor in models of student persistence.
- To examine the impact of well-being and persistence variables on first-year student commitment.
- To explore the integration of well-being into academic retention frameworks.
Main Methods:
- A cross-sectional web-based survey was administered to 574 first-year university students (aged 17-22) in Ireland.
- Data analysis focused on the relationships between academic, social, and well-being variables and student commitment.
- Statistical models were employed to assess the predictive power of various factors on student persistence.
Main Results:
- Student well-being significantly influences persistence and commitment during the college transition.
- Key variables impacting commitment include depression, self-rated health, academic environment, and peer connections.
- Perceiving the academic program as a suitable personal choice also emerged as a significant factor.
Conclusions:
- Educational institutions must adopt an integrated approach to student persistence and well-being.
- Student well-being is a vital component for ensuring student persistence and academic success.
- Retention models should evolve to incorporate student well-being alongside traditional academic metrics.
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