Applications:
Education, Learning Analytics
Methodologies:
Network Analysis, Time Series Analysis
Relevant Projects:

MIDAS PODS


Connections:

Society for Learning Analytics Research (SOLAR)

Quan Nguyen

Research Investigator

School of Information

My research focuses on the application of data science in educational research, so called learning analytics. I have experience analyzing educational data on a large-scale to understand a) how course design influence students’ learning behavior and b) how students form peer networks. My work involves using multiple educational data sources such as log-data in online learning environment, course information, students’ academic records, and location data gathered from campus WiFi networks. I am interested in network analysis, time-series analysis, and machine learning.