Dynamic generation of adaptive web-based collaborative courses

In this paper we present the use of adaptation techniques to dynamically generate adaptive collaborative Web-based courses. These courses are generated at runtime by selecting, at every step and for each student, the most suitable collaborative tasks to be proposed, the time at which they are presented, the specific problems to be solved, the most suitable partners to cooperate with and the collaborative tools to support the group cooperation. This selection is based on the users' personal features, preferences, knowledge and behavior while interacting with the course. The advantages of this approach and the peculiarities of combining individual adaptation with collaboration seamlessly are also presented.