Recommender systems are one of the most successful applications of data mining and
machine-learning technology in practice. Academic research in the field is historically often …

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 …

The objective of personalized learning is to design an effective knowledge acquisition track
that matches the learner's strengths and bypasses his/her weaknesses to ultimately meet …

Abstract Advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of
Interactive Educational Systems (IESs) have led to the rise of data-driven approaches for …

A learning path is the implementation of a curriculum design. It consists of a set of learning
activities that help users achieve particular learning goals. Personalizing these paths …

Accurately predicting students' future performance based on their ongoing academic records
is crucial for effectively carrying out necessary pedagogical interventions to ensure students' …

Course recommendation systems are applied to help students with different needs select
courses in a large range of course resources. However, a student's needs are not always …

The Internet of Intelligence is conceived as an emerging networking paradigm, which will
make intelligence as easy to obtain as information. This paper provides an overview of the …

In the process of course learning, users incline to change their interests with the
improvements of their cognition. Existing course recommendation methods usually assume …

Modern educational systems have changed drastically bringing in knowledge anywhere as
needed by the learner with the evolution of Internet. Availability of knowledge in public …