KMi Seminars
MUP/PLE Lecture Series
This event took place on Tuesday 12 April 2011 at 14:00

 
Denis Gillet Swiss Federal Institute of Technology in Lausanne (EPFL)

In this talk, underlying social media models will be discussed. Their potential to understand the interaction processes, to implement recommendation and to enforce trust will be illustrated. A special focus will be placed on capturing context in personal learning and knowledge management. An example showing how the 4A model proposed by EPFL supports the design and the implementation of PLE in Graaasp (http://graaasp.epfl.ch) will be presented.

The next talk of this lecture series will be held by Matthias Palmer on
the 26/04/2011. For further information about the upcoming events, find
the schedule here:
http://www.teleurope.eu/pg/pages/view/82822/muple-lecture-series-dates-announced

Join the MUPPLE group on TELeurope:
http://www.teleurope.eu/pg/groups/681/mupple/ to discuss and share your
experiences with Personal Learning Environments.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.