Affectivity Level for Intelligent Tutoring System Based on Student Stereotype

Affectivity is an important part of the learning process. Several authors integrate affectivity in ITS. However, they provided the same affectivity for all students. Authors realized that students were not benefit in the same way by affectivity. This could be because these systems provided the same affectivity to all students, and every student is different and has different needs. For that reason we propose to create a student stereotype to assign an affectivity level considering gender, academic performance and personality. Based on a questionnaire survey applied to 243 students we concluded that female irregular students are the students who need more affectivity and male regular extrovert students need moderate affectivity.