Statistics and Data Science Seminar
Dr. Hongwen Guo
ETS Research Institute
Bridging Educational Data and Classroom Practice Using Human-Centered AI -- A statistician’s view
Abstract: In the era of digital assessments, large-scale educational data—such as that from NAEP—offers unprecedented opportunities for insight into student learning skills. Yet, the complexity and volume of this data often outpace traditional statistical approaches, calling for a fusion of statistical rigor, data science innovation, and AI-driven modeling.
This talk explores a research initiative at ETS, supported by the Gates Foundation, that helps to transform multi-source NAEP data (response, process, and behavioral) into actionable insights for educators. We will discuss how statistics and data science form the foundation for extracting meaningful patterns, visualizing complex data, and how human-centered AI enables scalable, interpretable feedback with subject-matter experts and teachers.
The presentation will also reflect on the speaker’s own professional evolution—from classical statistics to data science and to AI applications in the education measurement field —highlighting the synergies between these disciplines.
Faculty and graduate students interested in statistical modeling, educational measurement, and AI applications are invited to join the discussion.
Wednesday October 22, 2025 at 4:15 PM in Zoom