… students, which include the fundamental subjects at semester one and three, respectively. We
are able to do a prediction of the students’ performance … output of our NN prediction model. …

… from 108 students and examined the accuracy of prediction. … that an RNN is effective to
early prediction of final grades. … performance of prediction of students’ final grades using RNN. …

… the literature on academic performance [9,10]; however, most of them are general literature
reviews and targeted towards the generic students performance prediction. We aimed to …

… about student performance. This paper proposes a student performance prediction model by
… to improve the performance due to early prediction of student performance. Teachers also …

… An early prediction of students’ failure may help the management … student retention. We
use different classification techniques to build performance prediction model based on students’ …

… Reliable earlystage predictions of a student’s future performance could be critical to … In this
paper, we recast the student performance prediction problem as a sequential event prediction …

… is to predict the student performance and make a comparative study on Bayesian network
classifiers, through that we compute which classifier predicts more students when compared to …

… Abstract— Student performance prediction is very important to understand a student … In
this Research, we are trying to find out student’s current status and predict his/her future results. …

This paper presents a study on Predicting Student Performance (PSP) in academic systems.
In order to solve the task, we have proposed and investigated different strategies. …

… students’ performance. This study explores multiple factors theoretically assumed to affect
students’ performance in … students’ performance based on related personal and social factors. …