Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Santos, P.; Dennerlein, S.; Theiler, D.; Cook, J.; Treasure-Jones, T.; Holley, D.; Kerr, M.; Attwell, G.; Kowald, D.; Lex, E. (2016)
Publisher: J.UCS Consortium
Languages: English
Types: Article
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [Kraker, 13] Kraker, P., Sebastian, D. "Towards a Model of Interdisciplinary Teamwork for Web Science: What can Social Theory Contribute?." Web Science 2013 Workshop: Harnessing the Power of Social Theory for Web Science. 2013.
    • [Manca, 13] Manca, S., Ranieri, M.. "Is it a tool suitable for learning? A critical review of the literature on Facebook as a technology‚Äźenhanced learning environment." Journal of Computer Assisted Learning 29.6 (2013): 487-504.
    • [McKenney, 13] McKenney, S., Reeves, T. C.: Conducting educational design research. Routledge, 2013.
    • [Pata, 15] Pata, K., Santos, P., & Burchert, J. "Social recognition provision patterns in professional Q&A forums in healthcare and construction."Computers in Human Behavior 55 (2016): 571-583.
    • [Santos, 14] Santos, P. , et al,: Networked Scaffolding: Seeking Support in workplace learning contexts. In Proc. of the 9th International Conference on Networked Learning 2014. Edinburgh, UK (2014).
    • [Schafer, 07] Schafer, J., Frankowski, D., Herlocker, J. and Sen, S. "Collaborative filtering recommender systems." The adaptive web. Springer Berlin Heidelberg, (2007): 291-324.
    • [Suthers, 06] Suthers, D. (2006). "Technology affordances for intersubjective meaning making: A research agenda for CSCL." International Journal of Computer-Supported Collaborative Learning 1.3 (2006): 315-337.
    • [Victor, 11] Victor P., Cornelis,C. and De Cock. M. Trust networks for recommender systems. Vol. 4. Springer Science & Business Media, 2011.
    • [Wenger, 00] Wenger, E. "Communities systems."Organization 7.2 (2000): 225-246.
  • No related research data.
  • No similar publications.

Share - Bookmark

Download from

Cite this article