Adaptive Personalisation in Self e-Learning Networks

The main difference between our approach and other related approaches is that we try to adapt and fine-tune the initial acquired information about the student’s learning style

• Users register and share a LO by providing a metadata description of it; some parts of the metadata can be automatically generated.. • The descriptions form a metadata repository

In this paper, we developed an ontological model that aims to gain relevant information (e.g. demographic, health, impairment and preference) from individuals in order to

The use of distinct ontologies for experiment steps and data allows the publica- tion and discovery of experimental data with specific meta- data such as usage rights that can

In this chapter, we improve on the computational bottleneck of these methods by replacing the exhaustive evaluation of the surrogate and merit functions by a cross-

That is, we need to recognise that learning is embodied, that individuals learn as social individuals, that those social individuals contribute to the construction of any

An important remark is that achieving a logit equilibrium implies that at a given game stage, radio devices are able to build logit best responses in order to face the other

A CPSS is an extension of Cyber-Physical systems involving cyberspace and physical space, in which humans, machines and objects interact adding to the complexity of the