… The lack of systematic surveys investigating the prediction of student performance using
student outcomes has motivated us to pursue the objectives of this research. In a systematic …

… In addition to internal assessments, the researchers have also explored the external
assessments for analysing student performance. In one such study, Buldu and Üçgün (2010) find …

… able to predict students’ performance. In this study, almost 70 papers were analyzed to show
different modern techniques widely applied for predicting students’ performance, together …

… state of the art in early prediction of student performance through data mining techniques by
… Identifying at-risk students in online learning by analysing learning behaviour: A systematic …

… However, the student performance is … predict and classify the students’ performance.
Overall, this paper presents an exploratory modelling and analyses of students’ performance …

… Based on their prior performance in comparable courses, this study predicts … UCI machinery
student performance data set is used in experimental study. Algorithms are analysed on …

… Prediction of student performance is one of the most … an effective tool in predicting student
performance in e-learning … created as a result of the analyses made with the training data. In …

… of student exam performance prediction. Due to the necessity of a labelled dataset for
interpretation of analysed … different types of student related features (eg past student performance, …

… ML techniques in predicting students performance. We are looking to implement some of
the excellent existing works and focusing more on dynamic nature of students performance. As …

… classification methods are suitable for predicting students’ academic performance?), this …
to classify students’ academic performance. To determine the predictive performance of seven …