Fuente Valentín, Luis de laPérez Sanagustín, MarSantos, PatriciaHernández-Leo, DaviniaPardo Sánchez, AbelardoDelgado Kloos, CarlosBlat, Josep2014-07-042014-07-042012Daradoumis, T. et al. (eds.) (2012). Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning (Studies in Computational Intelligence, 408), Springer, pp. 29-46.978-3-642-28585-1 (Print)978-3-642-28586-8 (Online)1860-949X (Print)1860-9503 (Online)https://hdl.handle.net/10016/19059Portable and interactive technologies are changing the nature of collaborative learning practices and open up new possibilities for Computer Supported Collaborative Learning (CSCL). Now, activities occurring in and beyond the classroom can be combined and integrated leading to a new type of complex collaborative blended learning scenarios. However, to organize and structure these scenarios is challenging and represent a workload for practitioners, which hinder the adoption of these technology-enhanced practices. As an approach to alleviate this workload, this paper proposes a proof of concept of a technological solution to overcome the limitations detected in an analysis of an actual collaborative blended learning experiment carried out in a previous study. The solution consists on a Unit of Learning suitable to be instantiated with IMS Learning Design and complemented by a GenericService Integration system. This chapter also discusses to which extent the proposed solution covers the limitations detected in the previous study and how useful could be for reducing the orchestration effort in future experiences.18 p.application/pdfeng© 2012 Springer-Verlag Berlin Heidelberg371.334QA76.9.A3 I567 2012Computational IntelligenceArtificial Intelligencebook partTelecomunicaciones10.1007/978-3-642-28586-8_2open access2946Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative LearningCO/0000004481