Context:

There are many repositories that allow searching and retrieving learning objects, so a lot of learning resources can be accessed. However, it is required to improve the presentation and visualization of those learning resources considering the student’s preferences, needs, and cognitive features.

Method:

The aim of this paper is to incorporate a customized interface with an adaptive multi-agent system for learning objects recommendation from local and remote repositories based on the student’s cognitive profile.

Results:

The prototype validation was made through a case study in which the interface has adapted not only the presentation but the visualization of learning objects taking into account the student’s preferences, needs and cognitive features.

Conclusions:

We can conclude that personalized adaptive interfaces demonstrate their efficacy and represent a great contribution to e-learning environments since they modify in real time the visualization and presentation of educational resources using the student’s cognitive profile.