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PLEM: a Web 2.0 driven Long Tail aggregator and filter for e‐learning

PLEM: a Web 2.0 driven Long Tail aggregator and filter for e‐learning Purpose – The personal learning environment driven approach to learning suggests a shift in emphasis from a teacher‐driven knowledge‐push to a learner‐driven knowledge‐pull learning model. One concern with knowledge‐pull approaches is knowledge overload. The concepts of collective intelligence and the Long Tail provide a potential solution to help learners cope with the problem of knowledge overload. The paper aims to address these issues. Design/methodology/approach – Based on these concepts, the paper proposes a filtering mechanism that taps the collective intelligence to help learners find quality in the Long Tail, thus overcoming the problem of knowledge overload. Findings – The paper presents theoretical, design, and implementation details of PLEM, a Web 2.0 driven service for personal learning management, which acts as a Long Tail aggregator and filter for learning. Originality/value – The primary aim of PLEM is to harness the collective intelligence and leverage social filtering methods to rank and recommend learning entities. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Web Information Systems Emerald Publishing

PLEM: a Web 2.0 driven Long Tail aggregator and filter for e‐learning

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Publisher
Emerald Publishing
Copyright
Copyright © 2010 Emerald Group Publishing Limited. All rights reserved.
ISSN
1744-0084
DOI
10.1108/17440081011034466
Publisher site
See Article on Publisher Site

Abstract

Purpose – The personal learning environment driven approach to learning suggests a shift in emphasis from a teacher‐driven knowledge‐push to a learner‐driven knowledge‐pull learning model. One concern with knowledge‐pull approaches is knowledge overload. The concepts of collective intelligence and the Long Tail provide a potential solution to help learners cope with the problem of knowledge overload. The paper aims to address these issues. Design/methodology/approach – Based on these concepts, the paper proposes a filtering mechanism that taps the collective intelligence to help learners find quality in the Long Tail, thus overcoming the problem of knowledge overload. Findings – The paper presents theoretical, design, and implementation details of PLEM, a Web 2.0 driven service for personal learning management, which acts as a Long Tail aggregator and filter for learning. Originality/value – The primary aim of PLEM is to harness the collective intelligence and leverage social filtering methods to rank and recommend learning entities.

Journal

International Journal of Web Information SystemsEmerald Publishing

Published: Apr 6, 2010

Keywords: E‐learning; Knowledge capture; Self managed learning

References