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An Exploratory Study of the Relationship Between Learning Styles and Cognitive Traits

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Innovative Approaches for Learning and Knowledge Sharing (EC-TEL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4227))

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Abstract

To provide personalization and adaptivity in technology enhanced learning systems, the needs of learners have to be known by the system first. Detecting these needs is a challenging task and therefore, mechanisms that support this task are beneficial. This paper discusses the relationship between learning styles, in particular the Felder-Silverman learning style model, and working memory capacity, a cognitive trait. Due to this relationship, additional information about the learner is available and can be used to improve the student model. An exploratory study is presented to verify the identified relationship based on the literature. The results of the study show that the identified relationship between working memory capacity and two of the four dimensions of the learning style model is significantly supported. For the two remaining dimensions further research is required.

This research has been partly funded by the Austrian Federal Ministry for Education, Science, and Culture, and the European Social Fund (ESF) under grant 31.963/46-VII/9/2002 and partly by Online Learning Systems Ltd in conjunction with the New Zealand Foundation for Research, Science & Technology.

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© 2006 Springer-Verlag Berlin Heidelberg

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Graf, S., Lin, T., Jeffrey, L., Kinshuk (2006). An Exploratory Study of the Relationship Between Learning Styles and Cognitive Traits. In: Nejdl, W., Tochtermann, K. (eds) Innovative Approaches for Learning and Knowledge Sharing. EC-TEL 2006. Lecture Notes in Computer Science, vol 4227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11876663_38

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  • DOI: https://doi.org/10.1007/11876663_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45777-0

  • Online ISBN: 978-3-540-46234-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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