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.
My research focuses on understanding, designing, and evaluating learning technologies and environments that foster collaborative problem solving, spatial reasoning, engineering design thinking and agency. I am particularly interested in applying multimodal learning analytics in the context of co-located and/or virtually distributed teams in clinical simulations. I strive to utilize evidence in education science, simulation-based training and learning analytics to understand how people become expert health professionals, how they can better work in teams and how we can support these processes to foster health care delivery and health outcomes.