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Little, Suzanne; Ferguson, Rebecca and Rüger, Stefan
(2012).
DOI: https://doi.org/10.1080/1475939X.2012.698378
Abstract
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.
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About
- Item ORO ID
- 33991
- Item Type
- Journal Item
- 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 or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Institute of Educational Technology (IET) - Research Group
-
Centre for Research in Computing (CRC)
Centre for Research in Education and Educational Technology (CREET) - Copyright Holders
- © 2012 Association for Information Technology in Teacher Education
- Depositing User
- Rebecca Ferguson