Abstract
Technical progress takes place rapidly in every industry and so it does in aviation. Nowadays formerly acquired flying skills of a pilot doing transition training from one aircraft to another are completely ignored. Thus, the trainee is faced with a lot of training on already existing knowledge, without being properly advised to the fine differences and specific characteristics of the new aircraft. Our idea for solving this deficit is a tool that compares the knowledge a pilot already has to the knowledge needed for the new aircraft type. To do so, we modeled the whole set of tasks for flying an aircraft, down to the lowest level of key-strokes, for the different aircraft types. Based on the models, our algorithm finds the differences in the task models and creates syllabi which properly incur to the sticking points of these differences and allow recognizing what kind of learning transfers will occur.