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Using Linked Data as a basis for a Learning Resource Recommendation System

Using Linked Data as a basis for a Learning Resource Recommendation System
Using Linked Data as a basis for a Learning Resource Recommendation System
Resource List Management Systems (RLMS) allow the electronic publication of course reading lists. Aside from electronic access, existing systems in this area provide little utility for teachers and learners above and beyond the traditional paper based reading lists. Our vision is that resource lists could in actual fact become Open Educational Resources that can be shared, re-mixed and re-used across institutions and borders. This paper introduces how we used linked data to architect a RLMS to meet this vision. However, in implementing this system, questions arose around the provenance, sustainability, licensing and reliability of today's linked data cloud. This paper documents the steps we took to address these critisms in our implementation. The paper goes on to discuss how the ecosystem of learning data managed by this application opens the way for future work, which involves leveraging typed relationships between learning goals, educational resources and system actors to provide recommendation-like services for academics creating new content.
Shabir, Nadeem
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Clarke, Chris
cfef7777-c913-41b8-938d-5d97b2c66dd7
Shabir, Nadeem
4466a139-6b19-47b1-94ce-867680d612cd
Clarke, Chris
cfef7777-c913-41b8-938d-5d97b2c66dd7

Shabir, Nadeem and Clarke, Chris (2009) Using Linked Data as a basis for a Learning Resource Recommendation System. 1st International Workshop on Semantic Web Applications for Learning and Teaching Support in Higher Education (SemHE'09), France.

Record type: Conference or Workshop Item (Paper)

Abstract

Resource List Management Systems (RLMS) allow the electronic publication of course reading lists. Aside from electronic access, existing systems in this area provide little utility for teachers and learners above and beyond the traditional paper based reading lists. Our vision is that resource lists could in actual fact become Open Educational Resources that can be shared, re-mixed and re-used across institutions and borders. This paper introduces how we used linked data to architect a RLMS to meet this vision. However, in implementing this system, questions arose around the provenance, sustainability, licensing and reliability of today's linked data cloud. This paper documents the steps we took to address these critisms in our implementation. The paper goes on to discuss how the ecosystem of learning data managed by this application opens the way for future work, which involves leveraging typed relationships between learning goals, educational resources and system actors to provide recommendation-like services for academics creating new content.

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More information

Published date: 30 September 2009
Additional Information: Event Dates: 30 September 2009
Venue - Dates: 1st International Workshop on Semantic Web Applications for Learning and Teaching Support in Higher Education (SemHE'09), France, 2009-09-30
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 268053
URI: https://eprints.soton.ac.uk/id/eprint/268053
PURE UUID: 4dddfb1e-6aed-4e63-a134-aada7e6cc2fa

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Date deposited: 14 Oct 2009 15:07
Last modified: 18 Jul 2017 06:57

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