Student profile modeling
Touria Hamim, Faouzia Benabbou, Nawal Sael · Proceedings of the 4th International Conference on Smart City Applications · 2019
Today, provide a customized, personalized and adaptive service is a big challenge that improve the services and functionalities of systems. The knowledge of the user profile is a vital phase in this process. Profile modeling is an important field that aims to give an abstract representation of some aspects related to the user features. In the educational field, student profile modeling can be a support for decision-making at different levels like learning, orientation, and recommendation. It can mainly offer the most exact description of students in order to: be able to act in case of problems such as failure, drop out; offer students the most appropriate orientation and recommendation; and define the most adaptive learning resources depending on their profile. In this paper, we present an analytical and statistical study on student profile modeling to propose a detailed description of the student's profile obtained with different techniques in different contexts of the educational field. We aim to extract the different categories of student's features that can be used alone or combined for decision making in different fields.