Abstract
This paper presents our experiences using a social semantic infrastructure that implements a semantically-enriched Actor Artifact Network (AAN) to support informal learning at the workplace. Our previous research led us to define the Model of Scaling Informal Learning, to identify several common practices when learning happens at the workplace, and to propose a social semantic infrastructure able to support them. This paper shows this support by means of two illustrative examples where practitioners employed several applications integrated into the infrastructure. Thus, this paper clarifies how workplace learning processes can be supported with such infrastructure according to the aforementioned model. The initial analysis of these experiences gives promising results since it shows how the infrastructure mediates in the sharing of contextualized learning artifacts and how it builds up an AAN that makes explicit the relationships between actors and artifacts when learning at the workplace.
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Acknowledgements
This research has been partially funded by the FP7 ICT Workprogramme of the European Community: “Learning Layers - Scaling up Technologies for Informal Learning in SME Clusters” (http://www.learning-layers.eu/, grant no: 318209).
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Ruiz-Calleja, A., Dennerlein, S., Tomberg, V., Ley, T., Theiler, D., Lex, E. (2015). Integrating Data Across Workplace Learning Applications with a Social Semantic Infrastructure. In: Li, F., Klamma, R., Laanpere, M., Zhang, J., Manjón, B., Lau, R. (eds) Advances in Web-Based Learning -- ICWL 2015. ICWL 2015. Lecture Notes in Computer Science(), vol 9412. Springer, Cham. https://doi.org/10.1007/978-3-319-25515-6_19
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DOI: https://doi.org/10.1007/978-3-319-25515-6_19
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