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

Sabine Graf, Taiyu Lin, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

9 Citations (Scopus)

Abstract

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 relationships 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.

Original languageEnglish
Title of host publicationIADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005
Pages37-44
Number of pages8
Publication statusPublished - 2005
EventIADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005 - Porto, Portugal
Duration: 14 Dec. 200516 Dec. 2005

Publication series

NameIADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005

Conference

ConferenceIADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005
Country/TerritoryPortugal
CityPorto
Period14/12/0516/12/05

Keywords

  • Cognitive trait model
  • Felder-Silverman learning style model
  • Student model
  • Working memory capacity

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