Welcome to my website! I am an Associate Professor in Education Policy and the Founding Director of the Center for Educational Data Science and Innovation at the University of Maryland, College Park (UMD). My current research is centered on the design, implementation, and evaluation of artificial intelligence tools designed to improve educational outcomes in both formal and informal learning environments. Additionally, I investigate the skills and competencies necessary to prepare students for a future shaped by AI. My research has received significant support from many funding agencies such as the Gates Foundation, Overdeck Family Foundation, Walton Family Foundation, Chan Zuckerberg Initiative, and the National Science Foundation, among others. Supported by a National Academy of Education Sciences/Spencer Dissertation Fellowship, I received my Ph.D. in the Economics of Education from Stanford University. Before joining UMD, I was a Postdoctoral Research Associate at Brown University's Annenberg Institute. I recently received the Early Career Award from the Association for Education Finance and Policy and the Exemplary Researcher Award from the University of Maryland.
I realized I don't have time to update my personal website as often. To learn more about the projects I am leading, please visit my EDSI website. To read my work, please consult my Google Scholar page.
I realized I don't have time to update my personal website as often. To learn more about the projects I am leading, please visit my EDSI website. To read my work, please consult my Google Scholar page.
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1/27/2024: I am excited to share a new working paper with David Blazar and Cameron Conrad: "Computer Science for All? The Impact of High School Computer Science Courses on College Majors and Earnings".
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11/17/2023: Emily Penner and I received a new grant from Arnold Ventures to plan for a randomized controlled trial that aims to reduce racial disciplinary disparities by targeting educators' use of office discipline referrals.
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11/10/2023: My new paper with Megan Kuhfeld and Monica Lee, which is entitled Noncognitive Factors and Student Long-Run Success: Comparing the Predictive Validity of Observable Academic Behaviors and Social-Emotional Skills, is now published online by Educational Policy.
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11/1/2023: Check out our newly released white paper: Empowering Educators through Language Technology.
Contact
Jing Liu
Associate Professor in Education Policy; Director, Center for Educational Data Science and Innovation,University of Maryland, College Park
Center for Educational Data Science and Innovation
1117 Benjamin Building, University of Maryland, College Park, MD 20742