The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …

With the introduction of Metaverse, its use is increasing day by day. In this study, the factors
affecting the historical development of Metaverse, the Metaverse architecture and the use of …

E-learning recommender systems are gaining significance nowadays due to its ability to
enhance the learning experience by providing tailor-made services based on learner …

Personalized Learning Environments (PLEs) are expected to enhance the learning
experience by providing tailor-made services based on learner preferences. It is of utmost …

The eLearning approach to programming language instruction has gained widespread
acceptance due to advantages such as accessibility, temporal flexibility, and content …

Learning style models are used as indicators of individual differences of learners based on
observations during learning processes. Numerous learning style models have been …

Adaptivity in e-learning systems is based on modeling the learners. Learners are modeled
based on their individual differences and preferences. In this context, learning styles models …

The falling learning outcome is one of the major challenges faced by most of the educational
systems. Adaptive educational systems (AESs) are viewed as catalyst to reinforce learning …

E-learning involves the computer and network-enabled transfer of skills and knowledge. The
recent years have witnessed an increased interest in intelligent E-Learning platforms that …

Recommender systems have been widely used in various domains such as e-commerce, e-
learning and the entertainment sector especially for movie and music recommendation. E …