Explores how machine learning techniques can be used to build effective student modeling systems with constrained development and operational overheads, by integrating top-down and bottom-up initiatives. Emphasizes feature-based modelling
Notes
Submitted to the School of Computing and Mathematics of the Faculty of Science and Technology, Deakin University