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Personalizing access to learning networks

Published:18 February 2008Publication History
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Abstract

In this article, we describe a Smart Space for Learning™ (SS4L) framework and infrastructure that enables personalized access to distributed heterogeneous knowledge repositories. Helping a learner to choose an appropriate learning resource or activity is a key problem which we address in this framework, enabling personalized access to federated learning repositories with a vast number of learning offers. Our infrastructure includes personalization strategies both at the query and the query results level. Query rewriting is based on learning and language preferences; rule-based and ranking-based personalization improves these results further. Rule-based reasoning techniques are supported by formal ontologies we have developed based on standard information models for learning domains; ranking-based recommendations are supported through ensuring minimal sets of predicates appearing in query results. Our evaluation studies show that the implemented solution enables learners to find relevant learning resources in a distributed environment and through goal-based personalization improves relevancy of results.

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                                            • Published in

                                              cover image ACM Transactions on Internet Technology
                                              ACM Transactions on Internet Technology  Volume 8, Issue 2
                                              February 2008
                                              93 pages
                                              ISSN:1533-5399
                                              EISSN:1557-6051
                                              DOI:10.1145/1323651
                                              Issue’s Table of Contents

                                              Copyright © 2008 ACM

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                                              Association for Computing Machinery

                                              New York, NY, United States

                                              Publication History

                                              • Published: 18 February 2008
                                              • Accepted: 1 April 2007
                                              • Revised: 1 February 2007
                                              • Received: 1 June 2006
                                              Published in toit Volume 8, Issue 2

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