Bianca Montrosse-Moorhead

Department Head and Professor

Educational Psychology

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Dr. Montrosse-Moorhead is accepting graduate students for Fall 2027. I am specifically interested in working with doctoral students who want to advance the science of (1) evaluating STEM curriculum and systems, and (2) AI-supported evaluation methods. Please get your application in by December 1, 2026, for full consideration.

Current Funded Projects:

• Advancing Computational Thinking and Microelectronics Education through GenerativeAI within an Engineering Design Framework [NSF award #2509108]
• External Evaluation of the NSF Quantum Technologies Engine in Connecticut (QuantumCT) [NSF award #2531869]

Sample of Recent Scholarship:

Full list included on CV. An * denotes graduate or undergraduate student co-author.

• Mason, S., Melvin, O., *David, T. & Montrosse-Moorhead, B. (2026). Aiding evaluator ethical decision making about how and when to use AI in evaluation. Canadian Journal of Program Evaluation, 40(1), 1–33. https://doi.org/10.18357/cjpe.2026.40.1.1223
• *Boczar, D. P., Montrosse-Moorhead, B., & Davidesco, I. (2025). Refining nascent interventions through emergent design evaluation. Evaluation and Program Planning,111, 1–11. https://doi.org/10.1016/j.evalprogplan.2025.102564
• Montrosse-Moorhead, B., *Sutter, A., *Phiri, C., & *Perdomo, L. D. L. C. (2024). Describing youth participatory evaluation of educational interventions as a key domain of the social determinants of health: protocol for a scoping review. BMJ Open, 14(10), e081978. https://doi.org/10.1136/bmjopen-2023-081978
• Montrosse-Moorhead, B., Schröter, D., & Becho, L. W. (2024). The garden of evaluation approaches. American Journal of Evaluation, 45(2), 166–185. https://doi.org/10.1177/10982140231216667
• Montrosse-Moorhead, B., & *Bitar, K. (2024). Amending the architectural blueprints for evaluation. In L. A. Wingate, A. Boyce, L. W. Becho, & K. Robertson (Eds.), Core Concepts in Evaluation: Contemporary Commentary on Classic Writings. Los Angeles, CA: Sage.
• Montrosse‐Moorhead, B. (2023). Evaluation criteria for artificial intelligence. New Directions for Evaluation, 178-179, 123–134. https://doi.org/10.1002/ev.20566

Academic Degrees:

• Ph.D., Psychology (Evaluation and Research Methods Concentration), Claremont Graduate University, 2009
  
• M.A., Psychology (Evaluation and Organizational Behavior Concentration), Claremont Graduate University, 2003
  
• B.A., Psychology, University of South Carolina at Columbia, 2001

Areas of Expertise:

• Evaluation design
• Evaluation methodology and methods
• Evaluation of STEM programs, policies, and systems

Useful Links:

• Google Scholar
• LinkedIn
• Dr. Montrosse-Moorhead Bio and CV
• Dr. Montrosse-Moorhead’s Open Science Framework (OSF) page for pre-prints, data, etc.