Smart teaching quantitative topics through the VARK learning styles model

Somayeh Moazeni, Hamid Pourmohammadi

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

12 Scopus citations

Abstract

Effective teaching concerns students' learning styles and its diversity. An adopted teaching strategy must be then aligned with students' learning traits. In this paper, to provide an effective in-classroom learning environment for most students, we propose to develop appropriate instructional presentation methods to match diversity of learning styles. We demonstrate how to align in-class instructions, such as quizzes and other in-class learning activities, with students' learning styles. Our discussion, which primarily focuses on quantitative topics, relies on research in education and applied psychology, and our teaching experience. Here, we utilize the Fleming's VARK learning style model. We then address some shortcomings of identifying students' learning styles through a generic questionnaire, and propose a scheme to dynamically infer them. This automatic student modeling approach can be easily adopted in distance education.

Original languageEnglish
Title of host publicationISEC 2013 - 3rd IEEE Integrated STEM Education Conference
DOIs
StatePublished - 2013
Event3rd IEEE Integrated STEM Education Conference, ISEC 2013 - Princeton, NJ, United States
Duration: 9 Mar 20139 Mar 2013

Publication series

NameISEC 2013 - 3rd IEEE Integrated STEM Education Conference

Conference

Conference3rd IEEE Integrated STEM Education Conference, ISEC 2013
Country/TerritoryUnited States
CityPrinceton, NJ
Period9/03/139/03/13

Keywords

  • Automatic student modeling
  • Learning styles
  • Matching learning and teaching styles
  • VARK model

Fingerprint

Dive into the research topics of 'Smart teaching quantitative topics through the VARK learning styles model'. Together they form a unique fingerprint.

Cite this