… to predict student performance and identify important factors that can lead to successful
completion of a course. As we are interested in estimating next-term student performance, we will …

… is to improvise the student performance in studies based … student performance. There will
be a delay in the results announcements which leads to the poor performance of the students …

… the factors that influence the student performance, in a very … features for the instances
awarded with the letter W, but we do not utilize them in any other way during the feature extraction …

… affect the performance, for … student evaluation system, we propose a feature extraction
stage, which is implemented in the data preprocessing before being used by FCM. This extraction …

… Even the latest teaching-learning strategies make use of online educational system portals
that assess the student performances based on the homework assignments, quizzes and …

… -class LDA method for predicting student performance and behaviour in academics in this …
feature extraction which extracts valuable features from the student log then the best features …

… the degradation of student performance at University levels. In order to do so, we have
conducted a survey among the students having varied academic performances in terms of CGPA. …

… This section introduces the basic concepts of student outcomes and student performance,
followed by identifying the research gaps in the literature concerning the prediction of student …

… This section evaluates the impact of each feature for the prediction of student’s performance.
Twenty-three features (selected by the feature extraction process) are selected for …

… GAS has been applied to find an optimal set of feature weights that improve classification
accuracy. First, a traditional feature extraction method such as Principal Component Analysis (…