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

The Recommender System to Research Students' Study Efficiency (Recommender System
hereafter) developed by these authors determines a student's learning productivity based on …

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

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

Students often face confusion during their academic career regarding the choice of the
courses, hence they need proper guidance for the same. Course recommendation system is …

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 …

Graduate students always face a dilemma when it comes to choosing electives every
semester. Different data sets have been used in order to avoid this confusion and chaos. In …

The increasing amount of data has made recommender systems necessary, especially with
the internet and social media. Recommender systems refine the crucial information about …

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 …

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 …