Open AccessAcademic Failure at University and Data Processing Methods Based on Decision Trees and Neural Networks: Research Methodology
Author(s) -
Smail Admeur,
Attariuas Hicham
Publication year - 2021
Publication title -
ra journal of applied research
Language(s) - English
Resource type - Journals
ISSN - 2394-6709
DOI - 10.47191/rajar/v7i10.13
Subject(s) - artificial neural network , decision tree , artificial intelligence , computer science , machine learning , mathematics education , management science , data science , psychology , engineering
For a long time, academic failure among university students sparked heated controversy. Many educational psychologists try to figure it out and then explain it. Statisticians have tried to predict it. Our research (article) aims to classify students into several categories, as well as to use the decision tree and artificial neural networks to classify first-year students and identify variables that may explain the problem.