K-12 education policy; computational social science; artificial intelligence & education

Jing Liu is an Assistant Professor in Education Policy at the 糖心少女 College Park. Named as a National Academy of Education Sciences/Spencer Dissertation Fellow, he earned his Ph.D. in Economics of Education from Stanford University in 2018. Before he joined UMD, he was a Postdoctoral Research Associate at Brown University鈥檚 Annenberg Institute. Dr. Liu's research uses rigorous quantitative evidence to evaluate and inform education policies at the national, state, and local levels, with the goal of improving learning opportunities for historically marginalized students in urban areas. His work broadly engages with critical policy issues including student absenteeism, exclusionary discipline, educator鈥檚 labor market, school reform, and higher education. Grounded in economic theory and policy analysis, he uses both quasi-experimental designs and data science methods such as computational linguistic analysis to analyze large administrative data and unstructured information. Most of his current projects focus on understanding the development of student engagement, behavior, and social-emotional skills, how these skills and dispositions contribute to student success in the short and long run, and what the implications are for improving equal educational opportunities. His work has appeared in peer-reviewed journals such as the Journal of Public Economics, Journal of Human Resources, Journal of Policy Analysis and Management,  and Educational Evaluation and Policy Analysis. Please visit his or for his most recent publications and projects.

Watch Dr. Liu's EdTalk entitled "".

Watch a by AERA in which Dr. Liu shared his findings from "Troublemakers? The Role of Frequent Teacher Referrers in Expanding Racial Disciplinary Disproportionalities", published by Educational Researcher

  • 2023            Winner, the Future of K-12 Education Data Design Challenge,  US Chamber of Commerce Foundation
  • 2023            Honoree, Maryland Research Excellence Celebration (2023)
  • 2023-2024   EdResearch for Action Writing Fellows, Results for America & Annenberg Institute, Brown University
  • 2019-2020   Emerging Education Policy Scholar by the Thomas B. Fordham Institute and the American Enterprise Institute
  • 2017-2018   National Academy of Education/Spencer Dissertation Fellowship 
  • 2017-2018   Shultz Graduate Student Fellowship in Economic Policy, Stanford Institute for Economic Policy Research 
  • 2017-2018   Dissertation Support Grant, Stanford Graduate School of Education 
  • 2017-2018   Dissertation Grant, Stanford Freeman Spogli Institute
  • 2017-2018   Technology for Equity in Learning Opportunities Award, Stanford Graduate School of Education 
  • 2015-2016   The Karr Family Fellowship, Stanford Center for Education Policy Analysis
  • 2013-2014   The I. James and Viola Quillen Fellowship, Stanford Graduate School of Education
  • 2011             Best Paper Award, Deloitte Tax Championship, China
  • 2011             Outstanding Graduate, Department of Public Finance, Peking University
  • 2011             Excellent Graduate Thesis, Department of Public Finance, Peking University

Liu, J., Penner, E., Gao, W. (Forthcoming), 鈥淭roublemakers? The Role of Frequent
Teacher Referrers in Expanding Racial Disciplinary Disproportionalities鈥. Educational Re-
searcherLiu, J., r, E., Gao, W. (Forthcoming), 鈥淭roublemakers? The Role of Frequent
Teacher Referrers in Expanding Rac"al Disciplinary Disproportionalities鈥. Educational Re-
searcherLiu, J., Penner, E., Gao, W. (Forthcoming), "Troublemakers? The Role of Frequent Teacher Referrers in Expanding Racial Disciplinary Disproportionalities". Educational Researcher.

Demzky, D., Liu, J., Hill, H., Jurafsky, D., Piech, C. (Forthcoming)Demszky, D., Liu, J., Hill, H., Jurafsky, D., Piech, C. (Forthcoming), "Can Automated Feedback Improve Teachers鈥 Uptake of Student Ideas? Evidence from a Randomized Controlled Trial in a Large-Scale Online Course''. Educational Evaluation and Policy Analysis.

Liu, J., Hayes, M., Gershenson, S. (Forthcoming), "From Referrals to Suspensions: New Evidence on Racial Disparities in Exclusionary Discipline". Journal of Urban Economics.

Hayes, M., Liu, J., Gershenson, S. (2023), "Who Refers Whom? The Effects of Teacher Characteristics on Disciplinary Office Referrals". Economics of Eduation Review, 102376.

Liu, J., Loeb, S., Shi, Y. (2022), 鈥淢ore Than Shortages: The Unequal Distribution of Substitute Teaching鈥. Education Finance and Policy.

Liu, J.& Cohen, J. (2021), 鈥淢easuring Teaching Practices at Scale: A NovelApplication of Text-as-Data Methods鈥. Educational Evaluation and Policy Analysis.

Demszky, D., Liu, J., Cohen, J., Hill, H., Mancenido, Z., Jurafsky, D., & Hashimoto,T. (2021), 鈥淢easuring Conversational Uptake: A Case Study on Student-Teacher Inter-actions鈥, Proceedings of the 59th Annual Meeting of the Association for ComputationalLinguistics (ACL).

Liu, J., Lee, M., Gershenson, S. (2021), 鈥淭he Short-and Long-Run Impacts of Secondary School Absences鈥. Journal of Public Economics, 199, 104441.

Liu, J. & Loeb, S. (2021), 鈥淓ngaging Teachers: Measuring Teacher鈥檚 Impact on Student Attendance in Secondary School鈥. Journal of Human Resources, 56(2), 343-379. [LeadArticle].  

Sun, M., Liu, J., Zhu, JM., LeClair, Z. (2019), 鈥淯sing a Text-as-Data Approach to Understand Reform Processes: A Deep Exploration of School Improvement Strategies鈥. Educational Evaluation and Policy Analysis, 41(4), 510-536. 

Penner, E., Rochmes, J., Liu, J., Solanki, S., Loeb, S. (2019), 鈥淒iffering View of Equity: How Prospective Educators Perceive Their Role in Closing Achievement Gaps鈥. RSF: The Russell Sage Foundation Journal of Social Sciences, 5(3), 103-127.

Bo, S., Liu, J., Shiu, J., Song, Y., Zhou, S. (2019), 鈥淎dmission Mechanisms and Mismatches between Colleges and Students: Evidence from A Large Administrative Dataset from China鈥. Economics of Education Review, 68, 27-37.

Whitney, C. R. & Liu, J. (2017), 鈥淲hat We鈥檙e Missing: A Descriptive Analysis of Part-Day Absenteeism in Secondary School鈥, AERA Open, 3(2).

Bettinger, E., Liu, J., Loeb, S. (2016), 鈥淐onnections Matter: How Interactive Peers Affect Students in Online College Courses鈥, Journal of Policy Analysis and Management (Big Data Special Section), 35(4), 932-954.

TLPL788M: Research and Writing for Publication

TLPL 670/PLCY 688B: Economics of Education

TLPL 765: Quantitative Applications for Education Policy Analysis

TLPL 788X: Policy Analysis of the Education Workforce