Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Abstract. Competitive learning approaches with penalization or cooperation mechanism have been applied to unsupervised data clustering due to their attractive ability of automatic ...
This study proposed the multi-user G-Math PeerTutoring System for facilitating students' tutoring strategies in math learning in the remedial instruction. The G-Math Peer-Tut...
In this paper we describe a social learning game we implemented to evaluate various means of ubiquitous learning support. Making use of game design patterns it was possible to impl...
By using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be ...