The tutor tries, by using feedbacks, to keep the learner?s attention and to increase his motivation and then his performance. However, the effectiveness of the tutor?s feedbacks on the learner varies from one learner to another. It depends essentially on the learner?s traits and it is reflected in the learner?s emotional reaction. Consequently, it is important to detect the learner?s emotional reaction following the tutor?s intervention in order to personalize the feedback type. Our proposal consists of a methodology, based on machine learning technique, able to predict the learner?s emotional reaction starting from the analysis of descriptive variables of the learner?s current situation, such as: personality, motivation and tutor?s feedback type.