Current and Future Perspectives for Personalized Adaptive Learning

Milos Kravcik (1) , Daniel Burgos (1) , Stefano Ceri (2) , Mohamed Amine Chatti (3) , Alexandra Cristea (4) , Paul de Bra , Vladan Devedžić (5) , Erik Duval (6) , Felix Mödritscher (7) , Ambjörn Naeve (8) , Marcus Specht (1) , Fridolin Wild (7)

1 Open Universiteit Nederland [Heerlen]
2 POLIMI - Politecnico di Milano [Milan]
3 Institute of Technology of the North Rhine-Westphalia
4 Department of Computer Science
5 Department of Information Systems and Technologies
6 KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven
7 WUW - Wirtschaftsuniversität Wien
8 KTH - KTH Royal Institute of Technology [Stockholm]

The rationale of this last report is to provide a short summary of achievements and visions, and this is also helpful in setting the stage for sustainability beyond the termination of network activities. In the next paragraphs we start with providing a summary of our work in WP1 on Personalized and Adaptive Learning. Then an introduction of a wider context and an outline of the state of the art in this field follow. Finally, we attempt to identify the main trends in personalization and learning generally, as well as its impact on sustainability of PROLEARN from our perspective.

Mots clés: adaptive learning; corporate learning

Domaines: Environnements Informatiques pour l'Apprentissage Humain; Education

Milos Kravcik, Daniel Burgos, Stefano Ceri, Mohamed Amine Chatti, Alexandra Cristea, et al.. Current and Future Perspectives for Personalized Adaptive Learning. 2007. ⟨hal-00588805⟩