Yang Jiang

Research Scientist @ ETS
AI, Education, Psychology,
and Technology

I am a Research Scientist at Educational Testing Service (ETS), where I conduct interdisciplinary research at the intersection of artificial intelligence (AI), education, psychology, and technology as part of the ETS Research Institute. Prior to joining ETS, I obtained my Ph.D. in Cognitive Science in Education from Columbia University, where I was advised by Dr. Ryan Baker and Dr. John Black. I also hold an Ed.M. in Technology, Innovation, and Education from Harvard University and an M.S. in Applied Statistics from Teachers College, Columbia University. Previously, I worked as a K-12 mathematics teacher in a charter school and as an instructional designer in an educational publisher, experiences that continue to inform my research and application of AI and data science in education.

My recent research focuses on developing and applying educational data mining, learning analytics, and AI methods to study learning, cognition, and test-taking processes across diverse learning environments and large-scale assessments. My work has been featured in the Nation’s Report Card (NAEP) and published in high-impact academic journals, including Computers and Education, Computers in Human Behavior, Contemporary Educational Psychology, Journal of Computer Assisted Learning, Behavior Research Methods, Journal of Research in Science Teaching, Journal for Research in Mathematics Education, and Journal of Educational Measurement, among others. I have received best paper awards and nominations at research conferences and have been recognized with the Harvard Graduate School of Education Alumni Council Award for Impact in Education and the ETS Presidential Award. My research has been generously supported by the National Science Foundation, the Institute of Education Sciences, the National Center for Education Statistics, Education Innovation and Research (Office of Elementary and Secondary Education), the U.S. Army Research Institute for the Behavioral and Social Sciences, and ETS. See more in Research.

Feel free to contact me at yjiang002@ets.org if you’re interested in connecting or collaborating. You can also view my CV for more information about my work.

📢 Recent News

  • May 2025 — Honored to receive the Alumni Council Award for Impact in Education from Harvard Graduate School of Education 🎉
  • April 2025 — Our latest article, “Using keystroke behavior patterns to detect nonauthentic texts in writing assessments: Evaluating the fairness of predictive models,” was published in the Journal of Educational Measurement.
  • April 2025 — Thrilled that our full paper, “Uncovering transferable collaboration patterns across tasks using large language models,” was accepted by the 26th International Conference on Artificial Intelligence in Education (AIED 2025). 🎉
  • March 2025 — Excited to serve as Industry Track Chair at the 2025 International Conference on Educational Data Mining (EDM).
  • March 2025 — Our paper, “Using epistemic network analysis and sequential pattern mining to explore the impacts of human facilitation on collaborative mathematical problem solving,” was accepted as a full paper at the Annual Meeting of the International Society of the Learning Sciences (ISLS 2025). 🎉
  • February 2025 — Our article was published in the Journal of Computer Assisted Learning: “Unveiling patterns of interaction with automated feedback in Writing Mentor and their relationships with use goals and writing outcomes” 🎉
  • September 2024 — Co-organized a workshop on “Innovations in Methodologies to Understand and Learn from Learner and Group Behaviors on Large-Scale Assessments” at the 49th Annual International Association for Educational Assessment (IAEA) Conference.