Research Article
Towards a Smart Guidance System in CAMPUSFASO : Simulation Results
@INPROCEEDINGS{10.4108/eai.11-11-2021.2317973, author={Ozias Bombiri and Tounwendyam F. Ouedraogo and Paonouor Some and Pasteur Poda}, title={Towards a Smart Guidance System in CAMPUSFASO : Simulation Results}, proceedings={Proceedings of the 4th edition of the Computer Science Research Days, JRI 2021, 11-13 November 2021, Bobo-Dioulasso, Burkina Faso}, publisher={EAI}, proceedings_a={JRI}, year={2022}, month={5}, keywords={guidance system machine learning training pathway campusfaso universit\^{e} norbert zongo}, doi={10.4108/eai.11-11-2021.2317973} }- Ozias Bombiri
Tounwendyam F. Ouedraogo
Paonouor Some
Pasteur Poda
Year: 2022
Towards a Smart Guidance System in CAMPUSFASO : Simulation Results
JRI
EAI
DOI: 10.4108/eai.11-11-2021.2317973
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 Universit´e 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.
