Biographical Info

Curriculum Vitae

Yoon Soo Park is the Ilene B. Harris Endowed Professor and Head of the Department of Medical Education. He holds a Ph.D. in Measurement, Evaluation, and Statistics from Columbia University. Park’s experiences include both academic and industry settings, with research interests and experiences across multiple disciplines in psychometrics, biostatistics, educational psychology, and medicine.

Park’s research agendas have focused on data science and learning analytics methodologies in health professions education. He has also actively engaged in interdisciplinary research in the social sciences, collaborating with diverse researchers and practitioners across disciplines. His work in the health professions education has advanced the preparation of learners in clinical reasoning and measurement of competencies through validity studies.

Park served as Vice President of the American Educational Research Association (AERA; 2018-2021) and Chair of Research in Medical Education for the Association of American Medical Colleges (AAMC; 2019-2020). Park is active in international collaborations, in both research and teaching, by organizing and leading partnerships with researchers and institutions in North America, Europe, Middle East, and Asia.

RESEARCH INTERESTS

• Data Science and Learning Analytics, Artificial Intelligence and Machine Learning in Education, Psychometrics and Measurement, Statistical Modeling of Psychological and Social Processes, Disaster and Recovery Research, Assessment Methods
• ORCID: https://orcid.org/0000-0001-8583-4335 

SELECTED PUBLICATIONS

      Learning Analytics – Assessment Systems

• Park, Y. S., Ryan, M. S., Hogan, S. O., Berg, K., Eickmeyer, A., Fancher, T., Farnan, J., Lawson, L., Turner, L., Westervelt, M., Holmboe, E., & Santen, S. A. (2023). Transition to Residency: National Study of Factors Contributing to Variability in Learner Milestones Ratings in Emergency Medicine and Family Medicine. Academic Medicine. Advance online publication (Aug 03, 2023). doi: 10.1097/ACM.0000000000005366
• Park, Y. S., Sachdeva, A. K., Liscum, K., Alseidi, A., Gesbeck, M., Blair, G. B., Salcedo, E., Sullivan, M., & Bordage, G. (2023). The American College of Surgeons Entering Resident Readiness Assessment (ACS ERRA): Validity Evidence from a Three-Year National Study. Annals of Surgery, 277(4), 704-711 doi: 10.1097/SLA.0000000000005358
• Park, Y. S., Hamstra, S., Yamazaki, K., & Holmboe, E. (2021). Longitudinal Reliability of Milestones-Based Learning Trajectories in Family Medicine Residents. JAMA Network Open, 4(12):e2137179. doi: 10.1001/jamanetworkopen.2021.37179
• Park, Y. S., Zar, F. A., & Tekian, A. (2020). Synthesizing and reporting milestones-based learner analytics: Validity evidence from a longitudinal cohort of internal medicine residents. Academic Medicine, 95(4), 599-608. doi: 10.1097/ACM.0000000000002959
• Park, Y. S., Hicks, P. J., Carraccio, C., Margolis, M., & Schwartz, A. (2018). Does incorporating a measure of clinical workload improve workplace-based assessment scores? Insights for measurement precision and longitudinal score growth from ten pediatrics residency programs. Academic Medicine, 93, S21-S29.

     Data Science – Psychometrics and Statistics

• Park, Y. S., Lin, Q., & Xing, K. (2023). Evaluating modes of observations using hierarchical signal detection rater models. Multivariate Behavioral Research, 58(4), 843-858. doi: 10.1080/00273171.2022.2138253
• Park, Y. S., & Xing, K. (2019). Rater model using signal detection theory for latent differential rater functioning. Multivariate Behavioral Research, 54(4), 492-504.  doi: 10.1080/00273171.2018.1522496.
• Park, Y. S., Xing, K., & Lee, Y.-S. (2018). Explanatory cognitive diagnostic models: Incorporating latent and observed predictors. Applied Psychological Measurement, 42(5), 376-392.
• Park, Y. S., Lee, Y.-S., Xing, K. (2016). Investigating the impact of item parameter drift for item response theory models with mixture distributions. Frontiers in Psychology. Advance online publication (February 24, 2016). doi: 10.3389/fpsyg.2016.00255.
• Park, Y. S., & Lee, Y.-S. (2014). An extension of the DINA model using covariates: Examining factors affecting response probability and latent classification. Applied Psychological Measurement, 38(5), 376-390.

     Book – Assessment Methods 

• Yudkowsky, R., Park, Y. S., & Downing, S. M. (2019). Assessment in Health Professions Education. 2nd Edition. New York, NY: Routledge.