At the beginning of a new semester, due to the limited understanding of the new courses, it
is difficult for students to make predictive choices about the courses of the current semester …

Along with the increasingly fast development of elearning and the transformation of the
traditional classroom, novel technology should be applied in human learning domain, that is …

Course selection is a crucial task which may affect greatly on student performance. Because
of poor performances, numerous students have been receiving formal warnings and …

Recommender algorithms are widely used in e-commercial platforms to recommend users
suitable items according to users' preferences. In recent years, an increasing amount of …

Nowadays, the abundant availability of online courses which are powered by well-known
Universities puts students in a dilemma in choosing the appropriate course according to …

The recommendation system is an active, personalized, and real‐time technology platform
proposed in the 1990s to solve the problem of information overload. The recommendation …

With the popularization of online education and the idea of learning anytime and anywhere,
more and more learners search and learn courses of various disciplines through online …

Over the past decade low graduation and retention rates has plagued higher education
institutions. To assist students in choosing a sequence of courses, choosing majors and …

ABSTRACT In Intelligent Tutoring System (ITS) as well as the E-learning system at the
university, predicting student learning performance to suggest courses is an essential task of …

In universities using the academic credit system, choosing elective courses is a crucial task
that significantly affects student performance. Because of poor performances, numerous …