A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

Nowadays, teaching involves more and more the usage of digital tools to accompany face-to-
face learning. Such a system is being referred to as hybrid teaching. These digital tools …

In the learning process, learners have different skills and each one has his own knowledge
and his own ability to learn. The adaptive e-learning platforms try to find optimal courses for …

The challenge for today's online learning systems is to provide effective access to
knowledge and content that is relevant to learners' expectations. The majority of these …

In recent years, learning online using the e-learning platforms becomes indispensable in the
teaching process. Companies and scientific researchers try to find new optimal methods and …

The social networks are one of the main sources of big data. Continuously, it produce huge
volume of variety types of data at high velocity rates. This huge volume of data contains …

This paper describes an agent-oriented approach that aims to create learning situations by
solving problems. The proposed system is designed as a multiagent that organizes …

Most of E-learning environments have designed over a" one-size-fits-all" approach.
Therefore, they are swiftly abandoned by learners in spite of their effectiveness. Providing a …

Sentiment analysis or opinion mining is a domain that analyses people's opinions,
sentiments, evaluations, attitudes, and emotions from a written language; it had become a …

Educational organizations are operating in a dynamic competitive environment. Online
learning, education, emerging technologies, and the number of learners are growing very …