Zhulin is a PhD student in Cognitive Science in Education. His research interests include learning behavior patterns on computer-based platforms, cognitive-affective interaction, and innovative technology for teachers.
Zhulin’s current project aims to understand how people’s intention and behavior change with time in a MOOC. He is also developing an automatic video analysis system to help teachers self-evaluate their performance in classroom.
Before joining ILT, Zhulin studied deep Earth structure with seismic wave data at USTC, China and then MIT. He has BS and MS in seismology.