Improving education systems and outcomes
through more effective use of data science, technology, and AI
Kimberly A. Griffin
Professor and Dean of the College of Education
The Center for Educational Data Science and Innovation, also known as EDSI, aligns well with UMD's commitment to innovation and exploration in the areas of data science and AI. EDSI will be a unique interdisciplinary center, committed to research, practice, and dissemination of critical information to ensure the ethical use of AI to enhance equity, effectiveness, and efficiency in education.
Jennifer King Rice
Senior Vice President and Provost
This center holds great potential for improving education systems and outcomes through more effective use of data science, technology, and AI. I am particularly excited about the cutting edge research that this center will enable, and the potential for that research to drive data-informed policy and practice, technological advances, and ultimately, more effective and equitable educational opportunities for all learners.
Recent Publications
2026. Anika Alam, Nicolas Dominguez-Mel, Jing Liu. EdWorkingPapers.com. https://doi.org/10.26300/vcdh-yc23
The Effects of Course-Integrated AI Tutoring on Student Performance and Engagement: A Randomized University Trial
2026. Jing Liu, Tracy Sweet, Marty Haoyuan Chen, Jonathan Engelberg, Martyn Clark, Axel Persaud, Alia Lancaster, Jeffrey Hollingsworth, Jennifer King Rice, Megan Masters. EdWorkingPapers.com. https://doi.org/10.26300/y3f8-vh05
Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates
2026. Paiheng Xu, Jing Liu, Wei Ai. arXiv. https://doi.org/10.48550/arXiv.2606.03029
Discipline Beyond Suspensions: Racial/Ethnic Disparities Across the Spectrum of Disciplinary Actions
2026. Youngsun Lee, Jing Liu, Emily K. Penner. EdWorkingPapers.com. https://doi.org/10.26300/1g31-3j56