Hongwen Guo is a principal research scientist in the AI center in the ETS Research Institute. In her work, she focuses on human-centered AI applications in understanding, analyzing, and modeling educational data to gain insights and inform teaching, learning, and policy making. For instance, through projects supported by external grants from organizations such as the Gates Foundation and the National Center for Education Statistics (NCES), she has developed methodologies that enable educators to better understand student learning processes to conceptualize student performance, which potentially inform instructional improvements. Her contributions have been recognized with the best paper award in NAEP studies at the 2025 American Educational Research Association (AERA) conference and the prestigious Bradley Hanson Award for innovative work at the 2019 National Council on Measurement in Education (NCME) conference, both of which underscore her commitment to bridging assessment innovation with practical educational impact. While at ETS, Hongwen has led over 40 research projects and authored more than 80 journal articles, research memorandums, and statistical reports. Her professional service includes editorial board membership for journals, grant review panelist roles with the National Science Foundation (NSF) and the Institute of Education Sciences (IES), and program chair positions for major conferences, demonstrating her influence in shaping the direction of educational measurement and research communities.
Last updated: 1/20/2026