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Prédire la réussite d’un étudiant en analysant les données d’INGInious : une approche par Machine Learning

Hormaux, Robin
(2019)

Files

Hormaux_56661300_2019.pdf
  • UCLouvain restricted access
  • Adobe PDF
  • 2.98 MB

Details

Supervisors
Nijssen, Siegfried
Faculty
Ecole polytechnique de Louvain
Degree label
Master [60] en sciences informatiques
Abstract
enMachine Learning is a field of study of artificial intelligence that has never been as present as it is today. It is used when you have a large database and are looking for patterns that repeat themselves, to predict how new data will react to a problem. Several courses given at UCLouvain offer their students the opportunity to solve training tasks on INGInious throughout the year, which offers us a large database. We will use several Machine Learning algorithms and try to answer two questions. The first is to predict the grade a student will receive on his or her exam, based on his or her work during the year. The second will be to classify these same students between success and failure of the exam, always on the basis of their daily work. During this work, we will address these two issues in parallel.