In the last few years a series of developments in the field of E-Learning have been made. But this is insufficient, even ineffective, in terms of adapting learning according to the level and capacity of the learner. Within this framework, our work involves the design and implementation of an adaptive computer system allowing the initiation of learning and the individualized follow-up of the learner. A variety of experiences have emerged and the representation of a few relevant projects among these experiences can be useful in order to draw innovative ideas. Our perspective is to represent, monitor and analyze the learner's course and the evolution of a learning situation. This system is based on the comparison between the learner's path and past paths (traces). Past traces are stored in a scenario database. We have adopted a case-based reasoning for this. The analysis of the path is done in a continuous and real time way, which led us to choose a multi-agent approach. The system is also open and generic to support any kind of learning.
Volume 12 | 04-Special Issue
Pages: 997-1000
DOI: 10.5373/JARDCS/V12SP4/20201572