Architecture of a System for Context-based Adaptation in M-Learning

In this paper, the architecture of a system that supports context-based adaptation for m-learning is presented. This system manages data about users and activities so that the most suitable activities to be accomplished at each time are proposed to each user. This decision is not only based on the user´s personal features, preferences or previous actions but also on information about the specific user´s context, including spare time, location and available devices