Prediction of student performance in educational institutions is a major topic of debate
among researchers in efforts to improve teaching and learning. Effective prediction …

In recent years, students' performance prediction has been identified as one of the most
essential and challenging research topics for educational institutions. The necessity for …

The introduction of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning
(ML), Deep Learning (DL), and Big Data have paved the way for research focused on …

With the increasing popularity and importance of Higher Education, degree cohorts are
becoming larger and it is becoming increasingly difficult for lecturers and advisors of studies …

Significant findings and useful insights have emerged from the study of using machine
learning techniques to predict student performance. used large datasets with a wide variety …

Abstract Student Performance Prediction (SPP) models and tools are useful for quickly
identifying at-risk students in online courses and enable the provision of personalized …

The research question of this thesis was to evaluate and compare two ML algorithms which
were Support Vector Machine (SVM) and Artificial Neural Network (ANN) in terms of …

This paper presents a comprehensive study on the evaluation of algorithms for automating
learning outcome predictions, with a focus on the application of machine learning …

Educational data mining (EDM) contributes cutting-edge methodologies, strategies, and
applications to the advancement of the education system, hence playing a crucial part in its …

Predicting student performance has attracted significant research interest in recent years,
owing primarily to its potential benefits to both students, in terms of improving outcomes and …