Jing Liu

Jing Liu is an Assistant Professor in Education Policy at the University of Maryland, College Park, and a research affiliate of the IZA Institute of Labor Economics. 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 joining UMD, he was a postdoctoral research assocaite at Brown University's Annenberg Insitute. His recent research focuses on two areas: i) leveraging artificial intelligence to measure and enhance teaching effectiveness and student learning across educational contexts; ii) identifying and assessing policies to best prepare students for an AI-driven future. Dr. Liu’s research has appeared in leading peer-reviewed outlets across disciplines, including economics, education, public policy, computational linguistics, and computer science. He is also frequently quoted by national media outlets such as EducationWeek, USA Today, Brookings, Chalkbeat, and the 74 Million on topics related to student absenteeism, school discipline, teacher policy, computer science education, and AI and education. His research program has been generously funded by NSF, the Spencer Foundation, Arnold Ventures, the Overdeck Family Foundation, among others.