Quan Nguyen
Postdoctoral Research Fellow in Educational Data Science
University of Michigan
Biography
I am a Postdoctoral Research Fellow in Educational Data Science at the School of Information, University of Michigan. My work focuses on analysing digital traces in educational settings to detect temporal discrepancies between course design and student engagement, and the subsequent effects on academic performance. My second research strand is to model peer interactions and peer influence on academic choices and performance. My research employed a wide range of statistical and computational techniques, such as multilevel modeling, network analysis, time-series/temporal analysis, and machine learning. My work has been published at top academic outlets such as Computers and Human Behaviors, IEEE Transactions on Learning Technologies and received multiple best paper awards at established conferences (e.g. LAK18 and HCI International 17). Prior to joining UMich, I was a PhD candidate in Learning Analytics at The Open University UK and an Associate Lecturer in Applied Statistics at the University of Arts London. I have a background in Economics (BSc. & Msc.) at Maastricht University, Netherlands.
Interests
- Learning Analytics
- Educational Psychology
- Educational Data Science
Education
PhD in Educational Technology (Learning Analytics), 2019
Open University, United Kingdom
MSc in Economics (cum laude), 2016
Maastricht University, Netherlands
BSc in Economics, 2015
Maastricht University, Netherlands
