Our Architecture of an Adaptive Learning System Based on the Dynamic Case-Based Reasoning and the Learner Traces
Nihad El Ghouch, El Mokhtar En-Naimi, Abdelhamid Zouhair, Mohamed Al Achhab · 2017
The adaptation of the Computing Environment for Human Learning allows adapting the process of learning to needs, to rhythms of every learner, to styles of learning and to preferences, but they do not guarantee an individualized real time follow-up, by favoring the learning of a domain of the acquisition of the knowledge by a learner.