• An intelligent learner support agent sets out to discover auxiliary learning material for a given user. Having access to detailed information about what the user has already learned (or, what the user has not learned yet) the agent is far more likely to discover more contextually relevant items than would be possible otherwise.
• A newly created course is characterized by its authors as “fast” and “introductory”. Nevertheless, in practice, students need to spend three times the anticipated time and effort before they can get an acceptable level of familiarity with the material; additionally, upon completion, students are capable of solving problems from an associated repository at all levels of difficulty. It should be clear that selecting this course purely on the basis of its associated metadata might lead to serious mistakes (e.g., in the process of content filtering). Adding information from its actual use provides a more “informed” view of the course and has the potential to lead to better personalization as a direct consequence.