Skip to main content

University of Michigan School of Information

Quan Nguyen

Quan Nguyen

Research Fellow, Information and Research Investigator, Information, School of Information Email: Phone: 734/615-1387
Office: School of Information/4321 North Quad Faculty Role: Faculty Personal website


My research interest lies at the intersection of education and data science, so called learning analytics. My work focuses on analyzing digital traces in educational settings to understand 1) how course design influences student engagement & academic performance, and 2) how students' social interactions with peers affect their academic performance and choices. My research employed a wide range of statistical and computational techniques, such as multilevel modeling, network analysis, time-series/temporal analysis, and machine learning.

Areas of interest

Learning analytics, educational data science, network analysis

Honors and awards

Best paper award at LAK18; Best paper award at HCII17


Ph.D. in Learning Analytics, Open University UK

MSc. in Economics, Maastricht University, Netherlands 

BSc. in Economics, Maastricht University, Netherlands


UMSI researchers awarded COVID-19 data science grant to study student mobility patterns

Quan Nguyen, Christopher Brooks and Daniel Romero will receive funding for “Students’ mobility patterns on campus and the implications for the recovery of campus activities post-pandemic."

More Info