Abstract | ||
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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. |
Year | DOI | Venue |
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2010 | 10.1108/17440081011034466 | INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS |
Keywords | Field | DocType |
E-learning, Knowledge capture, Self managed learning | Data mining,World Wide Web,E learning,News aggregator,Computer science,Personal learning environment,Wisdom of crowds,Web 2.0,Knowledge capture,Web information,Personalization | Journal |
Volume | Issue | ISSN |
6 | 1 | 1744-0084 |
Citations | PageRank | References |
3 | 0.38 | 2 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohamed Amine Chatti | 1 | 458 | 43.01 |
Anggraeni | 2 | 3 | 0.38 |
Matthias Jarke | 3 | 5071 | 1762.03 |
Marcus Specht | 4 | 1109 | 142.35 |
Katherine Maillet | 5 | 8 | 1.16 |