Author/Authors :
Santos, Patricia University of the West of England - School of Art and Design, Centre for Moving Images, UK , Dennerlein, Sebastian Graz University of Technology - Knowledge Technologies Institute, Austria , Theiler, Dieter Graz University of Technology - Knowledge Technologies Institute, Austria , Cook, John University of the West of England - School of Art and Design, Centre for Moving Images, UK , Treasure-Jones, Tamsin Leeds University - Institute of Medical Education, UK , Holley, Debbie Bournemouth University - Centre for Excellence in Learning, UK , Kerr, Micky Leeds University - Institute of Medical Education, UK , Attwell, Graham Pontydysgu, UK , Kowald, Dominik Graz University of Technology - Knowledge Technologies Institute, Austria , Lex, Elisabeth Graz University of Technology - Knowledge Technologies Institute, Austria
Abstract :
Social learning networks enable the sharing, transfer and enhancement of knowledge in the workplace that builds the ground to exchange informal learning practices. In this work, three healthcare networks are studied in order to understand how to enable the building, maintaining and activation of new contacts at work and the exchange of knowledge between them. By paying close attention to the needs of the practitioners, we aimed to understand how personal and social learning could be supported by technological services exploiting social networks and the respective traces reflected in the semantics. This paper presents a case study reporting on the results of two co-design sessions and elicits requirements showing the importance of scaffolding strategies in personal and shared learning networks. Besides, the significance of these strategies to aggregate trust among peers when sharing resources and decision-support when exchanging questions and answers. The outcome is a set of design criteria to be used for further technical development for a social semantic question and answer tool. We conclude with the lessons learned and future work.
Keywords :
Semantic Networks , Question , answering systems , Decision support
