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Integrating Data Across Workplace Learning Applications with a Social Semantic Infrastructure

  • Adolfo Ruiz-CallejaEmail author
  • Sebastian Dennerlein
  • Vladimir Tomberg
  • Tobias Ley
  • Dieter Theiler
  • Elisabeth Lex
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9412)

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.

Keywords

Informal Learn Workplace Learning Collective Knowledge Healthcare Domain Construction Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

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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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Adolfo Ruiz-Calleja
    • 1
    Email author
  • Sebastian Dennerlein
    • 2
  • Vladimir Tomberg
    • 1
  • Tobias Ley
    • 1
  • Dieter Theiler
    • 2
  • Elisabeth Lex
    • 2
  1. 1.Tallinn UniversityTallinnEstonia
  2. 2.Graz University of TechnologyGrazAustria

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