Evaluating learning style personalization in adaptive systems: quantitative methods and approaches

Brown, E. J.; Brailsford, T. J.; Fisher, T. and Moore, A. (2009). Evaluating learning style personalization in adaptive systems: quantitative methods and approaches. IEEE Transactions on Learning Technologies, 2(1) pp. 10–22.

DOI: https://doi.org/10.1109/TLT.2009.11

Abstract

It is a widely held assumption that learning style is a useful model for quantifying user characteristics for effective personalized learning. We set out to challenge this assumption by discussing the current state of the art, in relation to quantitative evaluations of such systems and also the methodologies that should be employed in such evaluations. We present two case studies that provide rigorous and quantitative evaluations of learning-style-adapted e-learning environments. We believe that the null results of both these studies indicate a limited usefulness in terms of learning styles for user modeling and suggest that alternative characteristics or techniques might provide a more beneficial experience to users.

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About

  • Item ORO ID
  • 30224
  • Item Type
  • Journal Item
  • ISSN
  • 1939-1382
  • Extra Information
  • Special Issue on Personalization
  • Keywords
  • evaluation/methodology; adaptive hypermedia; user issues; computer-assisted instruction; human information processing
  • Academic Unit or School
  • Institute of Educational Technology (IET)
  • Copyright Holders
  • © 2009 IEEE
  • Related URLs
  • Depositing User
  • Elizabeth FitzGerald
CORE (COnnecting REpositories)

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