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Using Similarity Metrics for Matching Lifelong Learners

  • Nicolas Van Labeke
  • Alexandra Poulovassilis
  • George Magoulas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5091)

Abstract

The L4All system provides an environment for the lifelong learner to access information about courses, personal development plans, recommendation of learning pathways, personalised support for planning of learning, and reflecting on learning. Designed as a web-based application, it offers lifelong learners the possibility to define and share their own timeline (a chronological record of their relevant life episodes) in order to foster collaborative elaboration of future goals and aspirations. A keystone for delivering such functionalities is the possibility for learner to search for ‘people like me’. Addressing the fact that such a definition of ‘people like me’ is ambiguous and subjective, this paper explores the use of similarity metrics as a flexible mechanism for comparing and ranking lifelong learners’ timelines.

Keywords

Similarity Measure User Model Lifelong Learner Similarity Metrics Personalise Support 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Nicolas Van Labeke
    • 1
  • Alexandra Poulovassilis
    • 1
  • George Magoulas
    • 1
  1. 1.London Knowledge Lab, BirkbeckUniversity of LondonLondonUnited Kingdom

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