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The major challenge for eLearning courses on undergraduate mathematics is the broadness of the audience they are targeted at. Our proposal how to deal with this challenge is to deploy intelligent assistants using Bayesian learning which, given some initial knowledge on the audience, explore user behavior to build up a model of the learner within the system. This allows us to leave the choice of the most suitable learning material to the learner. Thus, it enables an adaption of the system to individual learning styles while avoiding the risk of overwhelming the user by the plethora of choices of available material. Starting with models for learner and course, we present a prototypical implementation of such a system within the virtual laboratory VIDEOEASEL developed at the TU Berlin.

Conceptual Graphs And Storyboarding For Problem Solving Strategies In Mathematics