There is a growing awareness among researchers about the apparent variations in the
academic performance of students in tertiary institutions. Although, many studies have …

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 …

This article aims to proposed framework an Intelligent Recommender System (IRS) for
students in higher education institutions. This conceptual framework includes problems in …

In the 21st century, University educations are becoming a key pillar of social and economic
life. It plays a major role not only in the educational process but also in the ensuring of two …

A sufficient amount of studies worldwide prove an interrelation linking student learning
productivity and interest in learning to physiological parameters. An interest in learning …

Higher Education plays a principal role in the changing and complex world of today, and
there has been rapid growth in the scientific literature dedicated to predicting students' …

The traditional system of selecting courses to carry out research work is time consuming,
risky and a tedious task, that not only badly affect the performance but the learning …

Recommender systems are widely used in many fields. These systems work by
recommending a personalized list of items to users based on their interests and thus helping …

Selecting the appropriate undergraduate program is a critical decision for students. Many
elements influence this choice for secondary students, including financial, social …

How to choose the most appropriate courses to study throughout the learning process
remains a question interested in by many students. Students often choose suitable courses …