ABSTRACT 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
The purpose of this study is to train an artificial neural network model for predicting student fail...
Rate of success in the first year at University in Belgium is very low regarding other foreign unive...
The purpose of this paper is to develop models that would enable predicting student success. These m...
Academic failure among first-year university students has long fuelled a large number of debates. Ma...
Academic failure among first-year university students has long fuelled a large number of debates. Ma...
The student dropout phenomenon affects every level of educational systems in countries all over the ...
Using data mining methods, this paper presents a new means of identifying freshmen's profiles likely...
Using data mining methods, this paper presents a new means of identifying freshmen's profiles likely...
Despite various measured taken by the universities and colleges, the number of college and universit...
Academic failure among first-year university students has long fuelled a large number of debates. Ma...
Educational data mining is in the habit of learn the data available in the field of education and sh...
Dropout is an educational phenomenon studied for decades due to the diversity of its causes, whose e...
Using data mining methods, this paper presents a new means of identifying freshmen's profiles likely...
Abstract- There are numerous data or text mining methods have exists projected for the mining functi...
Background and Objectives: Academic failure is of paramount importance for medical students because ...
The purpose of this study is to train an artificial neural network model for predicting student fail...
Rate of success in the first year at University in Belgium is very low regarding other foreign unive...
The purpose of this paper is to develop models that would enable predicting student success. These m...
Academic failure among first-year university students has long fuelled a large number of debates. Ma...
Academic failure among first-year university students has long fuelled a large number of debates. Ma...
The student dropout phenomenon affects every level of educational systems in countries all over the ...
Using data mining methods, this paper presents a new means of identifying freshmen's profiles likely...
Using data mining methods, this paper presents a new means of identifying freshmen's profiles likely...
Despite various measured taken by the universities and colleges, the number of college and universit...
Academic failure among first-year university students has long fuelled a large number of debates. Ma...
Educational data mining is in the habit of learn the data available in the field of education and sh...
Dropout is an educational phenomenon studied for decades due to the diversity of its causes, whose e...
Using data mining methods, this paper presents a new means of identifying freshmen's profiles likely...
Abstract- There are numerous data or text mining methods have exists projected for the mining functi...
Background and Objectives: Academic failure is of paramount importance for medical students because ...
The purpose of this study is to train an artificial neural network model for predicting student fail...
Rate of success in the first year at University in Belgium is very low regarding other foreign unive...
The purpose of this paper is to develop models that would enable predicting student success. These m...