Yu, Renzhe (ry2454)

Renzhe Yu

Assistant Professor, Learning Analytics / Educational Data Mining

Office Location:

460 GDodge

Office Hours:

By appointment

Educational Background

Ph.D., Educational Data Science, University of California, Irvine

M.A., Economics of Education, Peking University

B.S., Artificial Intelligence, B.A. Economics, Peking University

Scholarly Interests

My core research interest is equity-oriented educational data science, which investigates how emerging data science techniques can help understand and improve educational equity. Toward this goal, I work with novel forms of “big data” (e.g., behavioral traces, online discourse) generated by learners, educators, and institutions in real-world contexts, and perform three parallel lines of inquiries:

  1. Combine data mining and causal inference to generate fine-grained understanding of learning, development and equity;
  2. Design algorithmic decision support pipelines to improve learning, development and equity;
  3. Evaluate and improve the fairness, accountability and transparency of educational data science applications.

Most of my empirical research focuses on young adults in low-resourced educational contexts, such as minority-serving, fully online, and broad-access institutions.

Selected Publications

Please visit renzheyu.com for my recent publications.

Back to skip to quick links