Tech Reports
Tech Report kmi-07-01 Abstract
Symmetrical support in FlashMeeting: a naturalistic study of live online peer-to-peer learning via software videoconferencing
Techreport ID: kmi-07-01
Date: 2007
Author(s): Peter Scott, Linda Castaņeda, Kevin Quick, Jon Linney
This paper reports on a naturalistic study of peer-to-peer learning, in a live, online-video meeting context. Over a 6-month period a group of international students of animation attended 99 live, online study group events amounting to around 120 hours of live broadcast meeting time. Some meetings were very large, with up to 34 participants, but the average participation was 10 students. These events were entirely self-organized, policed and managed by the student community. Some students emerged as natural mentors, and the group exhibited substantial supportive, mutually facilitative roles. This longitudinal study provides concrete measures of the impact of simple, live videoconferencing in an online learning context. The study also shows that learners can provide symmetrical support for each other in a live non-formal, peer-learning context, even without a formal scaffold of lectures and seminars.
Publication(s):
Submitted to Computers and Education, October 2006
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
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.
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