Towards a Smart Guidance System in CAMPUSFASO : Simulation Results

Abstract

Guidance is a complex and multidisciplinary field where the main goal is to help students find their suitable training pathways. The emergence of artificial intelligence has boosted many area of research. Machine learning tools have been used to improve both educational and vocational guidance system. Since 2018, the university guidance system has evolved with the establishment of an online platform named CAMPUSFASO. This platform, presented as an innovation for the guidance, has been strongly criticized. Firstly, we present the academic achievements of the first year students of Université Norbert Zongo after they are guided by CAMPUSFASO. These academic achievements show that more the student is guided at his preferential training path more he succeed. Secondly, we present a machine learning model for the guidance. Unlike CAMPUSFASO, our model uses of high school grades of the student to find the suitable training path. The model reaches auspicious results with simulated data.

Design of a machine learning based model for academic performance prediction

“…A similar study was carried out at the Norbert Zongo University by Ozias Bombiri et al in [5], where it is question of the chance of success of new baccalaureate holders. With synthesized data they evaluated some machine learning algorithms behavior when modeling guidance system from students grades.…”