This applied study, Interpretable Teacher Engagement Profiles and Causal Effects in Math Matrix Micro-Credentials, examines engagement and causal evidence in Math Matrix micro-credentials through the AIMS EduData Initiative, University of Florida Lastinger Center track.
Within the lab, this applied study connects education data science with causal evaluation. It uses Math Matrix micro-credential data to study teacher engagement profiles and causal evidence in a digital learning setting.
Project Information
- Funding agency: Bill & Melinda Gates Foundation
- Initiative: AIMS EduData Initiative, University of Florida Lastinger Center track
- Role: Principal Investigator
- Co-PI: Katherine J. Strickland
- Project period: June 1, 2026-August 31, 2026
- Award amount: $19,753.83
Project Focus
- Develop interpretable teacher engagement profiles.
- Study causal effects in Math Matrix micro-credential participation.
- Produce evidence that can support digital learning improvement and decision-making.
Related Publications and Working Papers
- Li, W., & Strickland, K. J. Designing longitudinal quasi-experimental studies using staggered DID: Estimator selection, software implementation, and sample size planning. Working paper.
- Li, W., Gao, X., Ren, S., & Dong, N. (2026). Heterogeneous treatment effects for impact evaluations. Manuscript under review.
Related Presentations
- Li, W., & Strickland, K. J. (2026). Power analysis for difference-in-differences studies with staggered treatment adoption. Modern Modeling Methods Conference.
- Li, W., Strickland, K. J., Gao, X., & Huang, J. (2025). Designing longitudinal quasi-experimental studies using staggered difference-in-differences: Estimator selection, software implementation, and sample size planning. SREE Annual Meeting.