Improving student modeling: the relationship between learning styles and cognitive traits

• Graf, Sabine ^[1] ; Lin, Taiyu ^[2] ; Kinshuk ^[2]
  1. [1] Vienna University of Technology

     Vienna University of Technology

     Innere Stadt, Austria

     
  2. [2] Massey University

     Massey University

     Nueva Zelanda

     
• Localización: Proceedings of the IADIS International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2005): Porto, Portugal, December 14-16, 2005 / coord. por Kinshuk Kinshuk, Demetrios Sampson, Pedro Isaías, Luís Rodrigues, Patrícia Barbosa, Vol. 1, 2005 (Full Papers), ISBN 972-8924-05-4, págs. 37-44
• Idioma: inglés
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• Resumen

  • A challenge of student modeling in adaptive virtual learning environments is to get enough information about the learner. Information about the learner such as the domain competence, the learning style or the cognitive traits of a learner is very important for an adaptive environment to achieve its main aim, namely to adapt to the learners' needs. In this paper we investigate the interaction between learning styles, in particular the Felder-Silverman learning style model, and working memory capacity, a cognitive trait. As a result we demonstrate some relationship between learners with high working memory capacity and a reflective, intuitive, and sequential learning style whereas learners with low working memory capacity tend to prefer an active, sensing, visual, and global learning style. These interactions make it possible to improve student models.