Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …

Abstract The Internet of Things (IoT) is an emerging paradigm that offers remarkable
opportunities for data mining and analysis. IoT envisions a world where all smartphones …

Forecasting academic performance of student has been a substantial research inquest in
the Educational Data-Mining that utilizes Machine-learning (ML) procedures to probe the …

Educational data generated through various platforms such as e-learning, e-admission
systems, and automated result management systems can be effectively processed through …

Educational systems have advanced with the use of electronic learning (e-learning), which
is a promising solution for long-distance learners. Students who engage in e-learning can …

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 …

E-learning is a popular area in terms of learning from social media websites in various terms
and contents for every group of people in this world with different knowledge backgrounds …

E-learning sites are useful for improving the skills and awareness of the academic
backbone, such as instructors, students, administrative staff, and those who are searching …

In this era when every aspect of society is accelerating, people are always seeking
improvement to stay competitive in their careers. E-learning systems fit into the ever …

Abstract Massive Open Online Courses (MOOCs) are receiving attention from learners
because MOOCs enable them to satisfy their learning needs through an open, participatory …