… Therefore, this study aims to examine the incremental value … (non-cognitive) in predicting
students’ early academic … after controlling for gender, age and prior education. To this end, an …

… The popular using of smart card makes it easy to outline students behavior pattern with
rich data. The purpose of our work is to predict students performance based on their behavior …

… of students into account to identify students at risk of academic failure during the pandemic.
Additionally, this study proposes an optimal ensemble model predicting students at risk using …

… predicting students’ academic performance, a subject that is increasingly investigated within
the Educational … For a better understanding of the educational related phenomena, there is …

… Recall@20 then measures the fraction of the total amount of positive items that were
discovered by the top 20 predicted items of each user. To evaluate the effectiveness of the …

… The prediction network corresponds … performance of incremental learning in ILASR in terms
of relative word error rate reduction (WERR) in comparison with the initial pre-trained student …

… For example, [2] investigated the incremental validity of the … In our study, academic
performance prediction is considered … by Kelley [41], academic performance is divided into low-, …

… -based incremental learning involves the training of a second set of classes S2 for a model
that is already able to predict a … baseline model-based incremental learning methods, namely …

… the incremental training in case both predictions do not match. … of incremental learning,
we demonstrate its performance … In most classical production setups of machine learning, a …

… for predicting students’ performance in the final examinations of a distance learning course.
… Thus, solution of incremental learners or incrementally updateable ensemble learners [67] …