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Updated: Jun 4, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Developing institution-specific admission competency criteria for prospective health sciences students
Eunhee Kang1, Ryan Jin Young Kim2, Young-Seok Park3
1Center for Future Dentistry, School of Dentistry, Seoul National University, Seoul, Republic of Korea.
Background:
Given the critical role of health professionals in societal health, the development of robust and effective selection methods is of fundamental concern for educational institutions within the field of health sciences education. Conventionally, admission competencies have been determined by institutional authorities. Developing institution-specific competency criteria enables an admission process that is mission- and value-aware, evidence-based, and strategically adaptable. However, few schools have established their admission competency criteria, although the majority possess their own models of graduation competencies. This study reports the process of developing and validating an institution-specific admission competency model that addresses the need for evidence-based and mission-aligned selection processes that are distinct from standardized models.
Methods:
This study was conducted in two phases, using both qualitative and quantitative analyses. Phase I involved constructing an admission competency model through a qualitative approach facilitated by workshops with 17 faculty members and 92 first-year pre-doctoral students of a dental school. Through constant comparative analysis, this phase focused on the extraction and refinement of competencies for entering dental students. In Phase II, a questionnaire developed from the workshops asked respondents to rate the importance of 47 attributes across 10 constructs on a 5-point Likert scale. A total of 301 individuals participated in the survey. Exploratory Factor Analysis (EFA) identified the factor structure, and Confirmatory Factor Analysis (CFA) examined construct validity and assessed the model fit with the data.
Results:
The EFA of the 47 attributes identified 10 factors, and the CFA results indicated a good-to-acceptable level of fit for the ten-factor model. Aligned with the American Association of Medical Colleges Premed competencies, this study identified unique attributes specific to the institution, such as confidence, leadership, and entrepreneurship. These findings highlight the importance of developing tailored competencies reflecting the unique needs of institutions and their fields.
Conclusions:
This study demonstrates the feasibility and value of creating institution-specific admission competency models, offering a methodology that aligns with evidence-based mission-driven selection processes. The distinct competencies identified emphasize the need for educational institutions to consider unique institutional and field-specific requirements and move beyond standardized models to enhance the selection of medical students.
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