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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/576

Title: Content-based positioning in learning networks
Authors: Van Bruggen, Jan
Rusman, Ellen
Giesbers, Bas
Koper, Rob
Keywords: positioning
latent semantic analysis
Issue Date: 9-Feb-2006
Abstract: Positioning in learning networks is a process that assists learners in finding a starting point and an efficient route in the network that will foster competence building. In order to avoid labor-intense routines in the network we explore computational approaches to services such as positioning that are based on the contents of the learning network and the behavior of those participating in it, rather than in predefined procedures and (meta-) data. We present a content-based approach to positioning that uses latent semantic analysis to compare the learner’s portfolio to the contents offered in the learning network. Although initial results indicate the feasibility of the approach there are a number of important caveats to consider
Description: Van Bruggen, J., Rusman, E., Giesbers, B., & Koper, R. (2006). Content-based positioning in learning networks. In Kinshuk, R. Koper, P. Kommers, P. Kirschner, D. G. Sampson & W. Didderen (Eds.). Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies (pp. 366-368). July, 5-7, 2006, Kerkrade, The Netherlands.
URI: http://hdl.handle.net/1820/576
Appears in Collections:1. TENC: Publications and Preprints
1. LN: Publications and Preprints
Keur der Wetenschap

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