Bibliography

As we launch the education data warehouse effort, this bibliography is intended as a reference for any interested parties, including the faculty, administrative staff, and IT staff who support the education mission and related administrative processes at the UNC School of Medicine. The sections below break out sources based on audience and topic. Please send additional relevant references to Michael Vavlitis (michael_vavlitis@med.unc.edu). Any articles that are behind firewalls should be accessible via UNC Libraries.

Big picture publications for academic medicine leaders on the drivers for an education data warehouse

• Boscardin, C., Fergus, K. B., Hellevig, B., & Hauer, K. E. (2018). Twelve tips to promote successful development of a learner performance dashboard within a medical education program. Medical Teacher, 40(8), 855–861.
• Carney, P. A., Sebok-Syer, S. S., Pusic, M. V., Gillespie, C. C., Westervelt, M., & Goldhamer, M. E. J. (2023). Using learning analytics in clinical competency committees: Increasing the impact of competency-based medical education. Medical Education Online, 28(1).
• Chan, T., Sebok-Syer, S., Thoma, B., Wise, A., Sherbino, J., & Pusic, M. (2018). Learning Analytics in Medical Education Assessment: The Past, the Present, and the Future. In AEM Education and Training (Vol. 2, Issue 2, pp. 178–187). John Wiley and Sons Inc.
• Cirigliano, M. M., Guthrie, C., Pusic, M. V., Cianciolo, A. T., Lim-Dunham, J. E., Spickard, A., & Terry, V. (2017). “Yes, and …” Exploring the Future of Learning Analytics in Medical Education. Teaching and Learning in Medicine, 29(4), 368–372.
• Cutrer, W. B., Spickard, W. A., Triola, M. M., Allen, B. L., Spell, N., Herrine, S. K., Dalrymple, J. L., Gorman, P. N., & Lomis, K. D. (2021). Exploiting the power of information in medical education. Medical Teacher, 43(S2), S17–S24.
• Ellaway, R. H., Topps, D., & Pusic, M. (2019). Data, Big and Small: Emerging Challenges to Medical Education Scholarship. Academic Medicine, 94(1), 31–36.
• Hedrick, J. S., Cottrell, S., Stark, D., Brownfield, E., Stoddard, H. A., Angle, S. M., Buckley, L. A., Clinch, C. R., Esposito, K., Krane, N. K., Park, V., Teal, C. R., & Ferrari, N. D. (2019). A Review of Continuous Quality Improvement Processes at Ten Medical Schools. Medical Science Educator, 29(1), 285–290.
• Stuart, G., & Triola, M. (2015). Proceedings of a conference chaired by Enhancing Health Professions Education through Technology: Building a Continuously Learning Health System.
• Thelen, A. E., George, B. C., Burkhardt, J. C., Khamees, D., Haas, M. R. C., & Weinstein, D. (2023). Improving Graduate Medical Education by Aggregating Data Across the Medical Education Continuum. Academic Medicine.
• Thoma, B., Warm, E., Hamstra, S. J., Cavalcanti, R., Pusic, M., Shaw, T., Verma, A., Frank, J. R., & Hauer, K. E. (2020). Next Steps in the Implementation of Learning Analytics in Medical Education: Consensus From an International Cohort of Medical Educators. Journal of Graduate Medical Education, 12(3), 303–311.
• Triola, M. M., & Burk-Rafel, J. (2023). Precision Medical Education. Academic Medicine, 98(7), 775–781.
• Triola, M. M., Hawkins, R. E., & Skochelak, S. E. (2018). The Time Is Now: Using Graduates’ Practice Data to Drive Medical Education Reform. Academic Medicine, 93(6), 826–828.

Relevant Standards Activities

• Patton, J. (2021). MedBiquitous ® 2030: Building the Digital Ecosystem for Health Professions Education.

Use Cases/Implementations

• Chan, T. M., Sebok-Syer, S. S., Yilmaz, Y., & Monteiro, S. (2022). The Impact of Electronic Data to Capture Qualitative Comments in a Competency-Based Assessment System. Cureus.
• García-Peñalvo, F. J. (n.d.). Lecture Notes in Educational Technology Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality.
• Knosp, B., Campion, M., Patton, J., Macfarlane, H., & Corral, J. (2020). What’s in your medical education data warehouse? Interviews with 12 US medical schools. In Digital Innovations in Healthcare Education and Training (pp. 153–167). Elsevier.

Higher Education Analytics

• Dahlstrom, E. (2016, September). Moving the Red Queen Forward: Maturing Analytics Capabilities in Higher Education.
• EDUCAUSE. (2022). 2022 EDUCAUSE Horizon Report: Data and Analytics Edition.
• Hodgkin, J. (2023, June 8). Use one platform as your bridge to data maturity. JISC.
• Teasley, S. D. (2019). Learning analytics: where information science and the learning sciences meet. In Information and Learning Science (Vol. 120, Issues 1–2, pp. 59–73). Emerald Group Holdings Ltd.
• Weil, D., Kendall, C., & Snyder, R. (2023). A Modern Framework for Institutional Analytics. EDUCAUSE Review.