Omega Network: An adaptive approach to social learning

We present a solution for social adaptive e-learning. In particular we want to individuate candidates acting as peer help in an e-learning academic course. Starting from a previous work in which adaptive learning functionalities were added to a traditional Learning Management System (LMS), we found an interesting application of filtering techniques working together with fuzzy ontologies to individuate peer help, a fundamental step in constructing a true social environment in e-learning communities. This way it is possible to use all the activities and functionalities offered by LMS improving their effectiveness with technologies based on socio-constructivism learning theory, such as: adaptive presentation, collaborative filtering, supporting peer help and peer tutoring