Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …

The present work proposes the application of machine learning techniques to predict the
final grades (FGs) of students based on their historical performance of grades. The proposal …

Imposed and exclusively online learning, caused by COVID-19, revealed research
challenges, eg curricula reformation and data collection. With this pool of data, this research …

During the Covid-19 pandemic, various on-line tools have been employed to support both
synchronous and asynchronous education in universities. Several efforts have been made …

Abstract Student Performance Prediction (SPP) has received a lot of attention due to its
educational implications, such as personalized instruction. Among numerous attempts in …

Predicting students' course grades has important university-related applications, such as
providing predictive assistance to students who may fail to graduate. However, it is a quite …

The work proposed in this paper is the application of machine learning techniques in
recognizing patterns and predicting student success rate on the bases of their performance …

Accurate prediction of student academic performance is important because it provides early
identification of the at-risk students who may need extra help to prevent them from being …

Intelligent Tutoring Systems (ITSs) have been developed to provide students with
personalized learning experiences by adaptively generating learning paths optimized for …

The growing application of information and communication technologies (ICTs) in teaching
and learning processes has generated an overload of valuable information for all those …