Quan Nguyen
Teaching Fellow in UBC Master of Data Science
University of British Columbia
Biography
I am a Teaching Fellow at the UBC Master of Data Science where I develop and teach data science courses. Prior to UBC, I was a Postdoctoral Research Fellow in Learning Analytics at the School of Information, University of Michigan. My research 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 work 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 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
- Data Science Education
- Educational Psychology
Education
Postdoc in Learning Analytics, 2021
University of Michigan-Ann Arbor, US
PhD in Learning Analytics, 2019
Open University, United Kingdom
MSc in Economics (cum laude), 2016
Maastricht University, Netherlands
BSc in Economics, 2015
Maastricht University, Netherlands
