The problem addressed by Mediation to Implement Feedback in Training (MIFT) is to customize the feedback from training exercises by exploiting
knowledge about the training scenario, training objectives, and specific student/teacher needs. We achieve this by inserting an intelligent mediation layer into
the information flow from observations collected during training exercises to the display and user interface. Knowledge about training objectives, scenarios,
and tasks is maintained in the mediating layer. A designer constraint is that domain experts must be able to extend mediators by adding domain-specific
knowledge that supports additional aggregations, abstractions, and views of the results of training exercises.