KMi Seminars
The SLOODLE Virtual World Learning Environment
This event took place on Monday 30 November 2009 at 14:30

 
Dr. Daniel Livingstone University of West Scotland

In this presentation, Daniel Livingstone will outline the open-source SLOODLE project. SLOODLE integrates two very distinct learning environments – Second Life and Moodle. SLOODLE hopes to build on the distinct strengths of both while also supporting a range of teaching and learning activities in the visually and socially rich 3D environment through back-end integration with the Moodle VLE. As Moodle provides a range of tools which tutors can adopt and adapt to suit their own classes, so too does SLOODLE – a range which is continually under development based on feedback from the SLOODLE community itself. The presentation will include an overview of the concepts driving SLOODLE, the history of the project and current and recent developments, including examples of how SLOODLE has been used to support tutors and learners around the world. Daniel will conclude with a brief review of open research questions and directions relating to virtual world learning environments.

There will also be an opportunity to discuss current virtual worlds activity and ideas for further use of virtual worlds at the OU with colleagues, including Anna Peachey, Greg Withnail and Kevin Mayles from the LIO Virtual Worlds project.

Tea and coffee will be provided. Please email learning-innovation@open.ac.uk if you are attending so we can cater for you.

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

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website