PLEM: a Web 2.0 driven Long Tail aggregator and filter for e-learning
International Journal of Web Information Systems (IJWIS), 6 (1):
5-23 (2010)Abstract
The Personal Learning Environment (PLE) 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. 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.
We present 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. The primary aim of PLEM is to harness the
collective intelligence and leverage social filtering methods to rank and
recommend learning entities.
