Automatic student modelling for detecting learning style preferences in learning management systems

Sabine Graf, Silvia Rita Viola, Kinshuk

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

25 Citations (Scopus)

Abstract

Providing adaptivity based on learning styles can support learners and make learning easier for them. However, for providing proper adaptivity, the learning styles of learners need to be known first. While most systems, which consider learning styles, use questionnaires in order to identify learning styles, we propose an automatic student modelling approach, which analyses the actual behaviour and actions of students during they are learning in an online course in order to infer students' learning styles. Such an automatic approach has the advantage that students do not have any additional effort for providing information about their learning styles. Additionally, an automatic approach can be more accurate by excluding extraordinary behaviour of students and adapting in the case that the learning styles changed over time. In this paper, we present an automatic student modelling approach for learning management system, which aims at identifying learning style preferences within the four dimensions of the Felder-Silverman learning style model (FSLSM). The approach is based on patterns derived from literature and a simple rule-based method for calculating learning styles from the students' behaviour. The proposed approach is evaluated by a study with 75 students, comparing the results of the learning style questionnaire with the results obtained by the proposed automatic student modelling approach. As a result, the approach is appropriate for identifying all learning style preferences within the active/reflective dimension of FSLSM and some learning style preferences within the sensing/intuitive and visual/verbal dimension. For the sequential/global dimension, results of learning style preferences show only moderate precision.

Original languageEnglish
Title of host publicationIADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2007
Pages172-179
Number of pages8
Publication statusPublished - 2007
EventIADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2007 - Algarve, Portugal
Duration: 7 Dec. 20079 Dec. 2007

Publication series

NameIADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2007

Conference

ConferenceIADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2007
Country/TerritoryPortugal
CityAlgarve
Period7/12/079/12/07

Keywords

  • Automatic student modelling
  • Felder-silverman learning style model
  • Learning management systems
  • Learning styles

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