معرفی
Jing Liu, Ph.D., is an Assistant Professor in the Department of Teaching and Learning, Policy and Leadership at the University of Maryland College Park. She holds a Ph.D. in Economics of Education from Stanford University (2018) and serves as an affiliate researcher with the Maryland Longitudinal Data Center and DC Education Research Collaborative. Her work focuses on leveraging computational methods and large-scale data to address critical education policies affecting marginalized students, particularly in urban settings. Key research areas include student absenteeism, exclusionary discipline, educator labor markets, and the integration of artificial intelligence tools into teacher practice.
Education:
- Ph.D., Economics of Education, Stanford University, 2018
- M.A., Economics of Education, Peking University, China, 2013
- B.A., Economics, Peking University, China, 2011
Her research employs quasi-experimental designs and computational linguistic analysis to uncover systemic inequities. Notable projects include studying racial disparities in disciplinary referrals and developing AI-driven feedback systems for teacher professional development. She has been honored with the Spencer Dissertation Fellowship and the 2023 US Chamber of Commerce Foundation Data Design Challenge award.
Current collaborations with school districts and policy organizations aim to translate research into actionable strategies for improving educational equity. Dr. Liu teaches courses on education economics, policy analysis, and quantitative methods, emphasizing rigorous evidence-based approaches.
