Student Modelling based on Belief Networks
Belief networks provide an important way to represent and reason about uncertainty –
significant factors for modelling students. These networks provide a way of structuring such
models, and allow a system to use a systematic approach when gathering information about the
scope of the student's knowledge. This work also provides a theoretically-sound way to update the
student model, based on the concept of a dynamic belief network. The relationship to related
research is discussed. Finally, the paper describes why the barren node concept is important for
computational efficiency in belief-net-based student models.