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Supporting Learning Analytics for Informal Workplace Learning with a Social Semantic Infrastructure

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Design for Teaching and Learning in a Networked World (EC-TEL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9307))

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Abstract

This paper presents the potential of a social semantic infrastructure that implements an Actor Artifact Network (AAN) with the final goal of supporting learning analytics at the workplace. Two applications were built on top of such infrastructure and make use of the emerging relations of such a AAN. A preliminary evaluation shows that an AAN can be created out of the usage of both applications, thus opening the possibility to implement learning analytics at the workplace.

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References

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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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Correspondence to Adolfo Ruiz-Calleja .

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Ruiz-Calleja, A. et al. (2015). Supporting Learning Analytics for Informal Workplace Learning with a Social Semantic Infrastructure. In: Conole, G., Klobučar, T., Rensing, C., Konert, J., Lavoué, E. (eds) Design for Teaching and Learning in a Networked World. EC-TEL 2015. Lecture Notes in Computer Science(), vol 9307. Springer, Cham. https://doi.org/10.1007/978-3-319-24258-3_76

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  • DOI: https://doi.org/10.1007/978-3-319-24258-3_76

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24257-6

  • Online ISBN: 978-3-319-24258-3

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