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.
International Journal of Web Information Systems – Emerald Publishing
Published: Apr 6, 2010
Keywords: E‐learning; Knowledge capture; Self managed learning