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Finding and reusing learning materials with multimedia similarity search and social networks

Little, Suzanne; Ferguson, Rebecca and Rüger, Stefan (2012). Finding and reusing learning materials with multimedia similarity search and social networks. Technology, Pedagogy and Education, 21(2) pp. 255–271.

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The authors describe how content-based multimedia search technologies can be used to help learners find new materials and learning pathways by identifying semantic relationships between educational resources in a social learning network. This helps users – both learners and educators – to explore and find material to support their learning aims. Exciting new technologies are emerging for designing and deploying multi-modal, interactive educational tools such as video, 3D models, games, remote sensors or collaborative community-created resources (e.g. wikis). With the increasing availability of open educational resources in online, semantically marked-up and socially connected spaces, users are building their own learning pathways by exploring and remixing content. In this article the authors look at how the integration of multimedia search into the SocialLearn platform for shared learning spaces can contribute to this vision.

Item Type: Journal Item
Copyright Holders: 2012 Association for Information Technology in Teacher Education
ISSN: 1747-5139
Extra Information: Special Issue: The Semantic Web in Education
Keywords: SocialLearn; social web; multimedia information retrieval; search; semantic relationships, search technologies; learning pathways, learning pathways, social learning, multimedia search
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Learning and Teaching Innovation (LTI) > Institute of Educational Technology (IET)
Learning and Teaching Innovation (LTI)
Research Group: Centre for Research in Computing (CRC)
Centre for Research in Education and Educational Technology (CREET)
Item ID: 33991
Depositing User: Rebecca Ferguson
Date Deposited: 11 Jul 2012 09:20
Last Modified: 07 Dec 2018 10:06
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