An exploratory sludy of the relationship between learning styles and cognitive traits

Sabine Graf, Taiyu Lin, Lynn Jeffrey, Kinshuk

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

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationInnovative Approaches for Learning and Knowledge Sharing - First European Conference on Technology Enhanced Learning, EC-TEL 2006, Proceedings
Pages470-475
Number of pages6
VolumeLNCS 4227
DOIs
Publication statusPublished - 2006
Event1st European Conference on Technology Enhanced Learning, EC-TEL 2006 - Crete, Greece
Duration: 1 Oct. 20064 Oct. 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4227 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st European Conference on Technology Enhanced Learning, EC-TEL 2006
Country/TerritoryGreece
CityCrete
Period1/10/064/10/06

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