Error Driven Adaptive Training Sequences

Teachers want to remedy the problem of heterogeneous levels of students before teaching a new concept. To deeply check a competency, we propose a system generating error driven adaptive training sequences. A test is created thanks to a bank of exercises. At each failure, the error detection mechanism is called and each detected misconception is taken into account using corrective exercises associated with explanations. Thus, each student's path in the training sequence is different, adapted to his/her knowledge and tries to remedy his/her misconceptions.