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 …

Purpose The purpose of this study is to identify the main perspectives and trends in
educational data mining (EDM) in the e-learning environment from a managerial …

Recommender systems (RSs) are increasingly recognized as intelligent software for
predicting users' opinions on specific items. Various RSs have been developed in different …

E-learning is renowned as one of the highly effective modalities of learning. Social learning,
in turn, is considered to be of major importance as it promotes collaboration between …

Social networks are a powerful and efficient tool for e-learning promoting collaboration
between learners. Thus, to better manage the learning process within these environments, it …

Recommender systems are extremely useful tools to provide the user with information that
may be of interest. These systems are responsible for performing a series of procedures to …

Due to the large amount of available e-learning data, identifying relevant information from e-
learning data presents significant challenges. A recommendation system is a popular …

The number of learners using online learning materials has significantly increased in recent
years. Due to the overload of information, many learners face difficulty finding relevant and …

Massive åpne nettkurs (MOOCer) har blitt brukt i e-læring det siste tiåret, og fremveksten
deres eksploderte under COVID-19-pandemien. Nye kurs blir stadig tilgjengeliggjort, noe …

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 …