Modeling the Acceptance of the E-Orientation Systems by Using the Predictions Algorithms

Abstract

Our research work addresses the problem of educational and vocational orientation. Thus, the aims of this study is to set up a prediction model of the acceptance of the E-orientation system “Orientation-chabab.com” by users. We will determinate the factors related to the leads educational and professional orientation of the students. We established a qualitative questionnaire based in TAM theoretical model, sharing with social networks, SMS sending, individual interviews in collaborations with the experts in the field of orientation. After we collected the feedback from our study sample, we use the information gain attribute to reduce our data and we apply applied and compare several predictive Machine Learning algorithms to select the best one with the highest accuracy.