Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Finding a learning path: toward a swarm intelligence approach
WBE'06 Proceedings of the 5th IASTED international conference on Web-based education
Using a style-based ant colony system for adaptive learning
Expert Systems with Applications: An International Journal
An attribute-based ant colony system for adaptive learning object recommendation
Expert Systems with Applications: An International Journal
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E-learning systems are intended to offer their users didactic material tailored to their actual needs, preferences and abilities. This idea is consistent with the general principles of constructivism. Additionally it offers a student great flexibility in organizing his own curriculum and his learning scenario in the scope of particular course. However, it has also some side effects causing that students have many problems with making curriculum adapted to their needs or choosing subsequent course elements while complying the course. Many of e-learning courses designers, teachers and students emphasize the necessity of guidance in effective traversing a “knowledge network”. The chapter presented below explores some of the recent solutions in this subject. They were carefully selected to represent the widest possible range of research concerning the application of swarm intelligence to recommendation in e-learning systems.