Integrating Data Across Workplace Learning Applications with a Social Semantic Infrastructure

Autor:	Timo Tobias Ley, Dieter Theiler, Adolfo Ruiz-Calleja, Elisabeth Lex, Vladimir Tomberg, Sebastian Maximilian Dennerlein
Rok vydání:	2015
Předmět:	Workplace learning Knowledge management business.industry Computer science Collective intelligence Artifact (software development) Informal learning business computer.software_genre Data science computer Data integration
Zdroj:	Advances in Web-Based Learning--ICWL 2015 ISBN: 9783319255149 ICWL
DOI:	10.1007/978-3-319-25515-6_19
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3e6b9c6cb0ec17f9f5a0605824bc7260 https://doi.org/10.1007/978-3-319-25515-6_19 Zobrazit plný text záznamu