Abstract
Effective learning support in organizations requires a flexible and personalized toolset that brings together the individual and the organizational perspective on learning. Such toolsets need a service-oriented infrastructure of reusable knowledge and learning services as an enabler. This contribution focuses on conceptual foundations for such an infrastructure as it is being developed within the MATURE IP and builds on the knowledge maturing process model on the one hand, and the seeding-evolutionary growth-reseeding model on the other hand. These theories are used to derive maturing services, for which initial examples are presented.
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Schmidt, A., Hinkelmann, K., Ley, T., Lindstaedt, S., Maier, R., Riss, U. (2009). Conceptual Foundations for a Service-oriented Knowledge and Learning Architecture: Supporting Content, Process and Ontology Maturing. In: Pellegrini, T., Auer, S., Tochtermann, K., Schaffert, S. (eds) Networked Knowledge - Networked Media. Studies in Computational Intelligence, vol 221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02184-8_6
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DOI: https://doi.org/10.1007/978-3-642-02184-8_6
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