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The work is focused on alleviating the workload for designers of adaptive courses on the complexity task of authoring adaptive learning designs adjusted to specific user characteristics and the user context. The authors propose an adaptation platform that consists in a set of intelligent agents where each agent carries out an independent adaptation task. The agents apply machine learning techniques to support the user modelling for the adaptation process. Information and communication technologies have been adopted in the learning process via the design and development of Learning Management Systems (LMS) with the aim to remove some of the barriers in traditional face to face settings (e.g. geographic and temporal) and to add potential advantages, such as the possibility of better addressing the individual user's needs in a personalized and inclusive way.
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