Using similarity metrics for matching lifelong learners

Labeke, N. and Poulovassilis, Alexandra and Magoulas, George D. (2008) Using similarity metrics for matching lifelong learners. In: Woolf, B. and Aimeur, E. and Nkambou, R. and Lajoie, S. (eds.) Intelligent Tutoring Systems. Lecture Notes in Computer Science 5091. Berlin, Germany: Springer Verlag, pp. 142-151. ISBN 9783540691327.

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Official URL: http://dx.doi.org/10.1007/978-3-540-69132-7_19

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.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Research Centres and Institutes:	Innovation Management Research, Birkbeck Centre for, Bioinformatics, Bloomsbury Centre for (Closed), Birkbeck Knowledge Lab
Depositing User:	Sarah Hall
Date Deposited:	19 Jul 2013 12:26
Last Modified:	09 Aug 2023 12:33
URI:	https://eprints.bbk.ac.uk/id/eprint/7742

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