School of Education

Education

• Ph.D. in educational policy, Michigan State University
• Ph.D. in curriculum, instruction, and teacher education, Michigan State University
• B.A. in history, The College of Wooster
  
  

Research interests

Experimental and quasi-experimental design, multilevel modeling, longitudinal data analysis, social network analysis, machine learning, artificial intelligence

Recent publications

• Broda, M.D., Wang, T.-W., Hui, J., Ross, E., McGinnis, H., Chan, D.M., Tomlinson, C.A., & Luce, C. (2026, in press). Exploring Relationships Between College Students' Social Networks, Social Support, and Mental Health during the Covid-19 Pandemic. Public Library of Science: Mental Health.
• Broda, M.D., Granger, K.L., Chow, J.C., Sayers, R., Washington-Nortey, M., Dear, E., Sutherland, K.S., & Conroy, M.A. (2025). Profiles of Practice Delivery, Relationships, and their Longitudinal Associations with Challenging Behavior and Engagement for Students with EBD. Teacher Education and Special Education. https://doi.org/10.1177/08884064251356658
• Broda, M.D., Bogenschutz, M., Dinora, P., Prohn, S., Lineberry, S., & West, A. (2025). Understanding COVID-19 infection among people with intellectual and developmental disabilities using machine learning. Disability and Health Journal, 17(3). https://doi.org/10.1016/j.dhjo.2024.101607
• Broda, M., Bogenschutz, M., Lineberry, S., Dinora, P., Prohn, S., & West, A. (2023). Comparing employment, employment services, and employment goals in propensity-matched samples of people with intellectual and developmental disabilities with and without autism. Journal of Vocational Rehabilitation, 58(3), 307-316. https://doi.org/10.3233/jvr-230019
• Broda, M., Granger, K., Chow, J., & Ross, E. (2023). Using Social Network Analysis in Applied Psychological Research: A Tutorial. Psychological Methods, 28(4), 791-805. https://doi.org/10.1037/met0000451
• Broda, M., Bogenschutz, M., Dinora, P., Lineberry, S., & Ross, E. (2021). Using Machine Learning to Predict Patterns of Employment and Day Program Participation. American Journal on Intellectual and Developmental Disabilities, 126(6), 477-491. https://doi.org/10.1352/1944-7558-126.6.477
  
  

Bio

Dr. Michael Broda teaches courses in educational statistics and advanced quantitative research methods. As a former elementary and middle school teacher, he is particularly interested in applying advanced quantitative methods — including machine learning — to practical challenges faced by schools, communities, and vulnerable populations.

Recently, this has included using machine learning to investigate health disparities and service utilization among adults with intellectual and developmental disabilities, using social network analysis to study how teachers share resources and support student outcomes, and using randomized controlled trials to evaluate the effectiveness of classroom-based interventions. Dr. Broda also has a strong interest in how generative AI tools might be ethically and responsible used to support the work of school professionals.

Dr. Broda is the founder and Co-Director of the Centroid Applied Machine Learning Lab in the VCU School of Education.

Curriculum Vitae