Correlations between students' behaviour in learning management systems and their learning style preferences

Sabine Graf, Tzu Chien Liu, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Many researches have been conducted with respect to learning styles in technology enhanced learning, especially in the area of adaptive learning. Most of these researches used assumptions about how students with different learning styles behave in a system based on the respective learning style theory. However, most of these theories are developed for traditional learning rather than online learning. In this study, we investigated the behaviour of students in a learning management system and correlated the students' behaviour with their learning style preferences. The resulting correlations confirm that students with different learning styles behave differently in an online course, which gives another evidence for the potential of adaptive learning based on learning styles. Furthermore, our findings can contribute in the development of adaptive systems, making adaptive features more accurate and automatic student modelling more precise by combining the results of this study with the conclusions from literature.

Original languageEnglish
Title of host publicationProceedings - ICCE 2008
Subtitle of host publication16th International Conference on Computers in Education
Pages65-72
Number of pages8
Publication statusPublished - 2008 Dec 1
Event16th International Conference on Computers in Education, ICCE 2008 - Taipei, Taiwan
Duration: 2008 Oct 272008 Oct 31

Publication series

NameProceedings - ICCE 2008: 16th International Conference on Computers in Education

Other

Other16th International Conference on Computers in Education, ICCE 2008
CountryTaiwan
CityTaipei
Period08/10/2708/10/31

Keywords

  • Behaviour in Learning Management Systems
  • Learning Styles
  • Student Modelling

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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