Predicting students’ performance is one of the most important topics for learning contexts such
as … These are benefited by the automation of many processes involved in usual students’ …

… students who need special attention. This paper proposes using the algorithm (GBDT) which
is a machine learning … family to predict university students' performance in final exams. It …

… performance plays an important role in achieving that goal. In this research, four machine
learning … a classifier that can predict the performance of the students in a computer science …

… to survey the literature on academic performance [9,10]; … generic students performance
prediction. We aimed to collect and review the best practices of data mining and machine learning…

… model is appropriate in improving learning in among students. … machine learning model in
predicting student performance and appropriate machine learning model in improving learning…

… In the next sub-section we will briefly describe these supervised machine learning … In order
to rank the representative algorithms of the machine learning techniques that are used in this …

… machine learning approach, specifically, logistic regression. The input and target variables
are enrollment data captured by the student … 978 undergraduate students from the AUN. The …

… With the expert opinion we will enrich our datasets with student’s psychological data. Then
we will implement other machine learning and data mining algorithms like Naïve Bayes, SVM …

… of timely student performance. To the best of our knowledge, student performance has
been … Our model predicts the performance with three-class labels “success”, “fail” and “withdrew”. …

… Since the objective of this study is to perform early prediction of student performance,
semester I results are used for prediction purpose. In semester I a student has to appear in three …