An Exploration of matching teaching to the learning preferences of systems engineering graduate students

Ricardo Valerdi, Rashmi Jain, Tim Ferris, Joseph Kasser

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

4 Scopus citations

Abstract

This paper provides an exploratory study on the relationship between learning preferences of systems engineering graduate students and delivery methods of systems engineering coursework. We begin by providing an overview of learning in the systems engineering context, followed by two central research questions that guide the rest of the paper. Our study is focused on measuring learning preferences based on a previously developed survey instrument called VARK. We provide a detailed description of VARK and some insight into the existing database that sheds light on the typical distribution of learning preferences across disciplines. We provide some preliminary results and discuss their implications on systems engineering curriculum development and delivery. Finally, we discuss additional questions that remain to be explored as we strive to understand the learning preferences of systems engineering graduate students.

Original languageEnglish (US)
Title of host publication19th Annual International Symposium of the International Council on Systems Engineering (INCOSE 2009) in conjunction with the 3rd Asia-Pacific Conference on Systems Engineering APCOSE 2009
Pages1439-1456
Number of pages18
StatePublished - 2009
Externally publishedYes
Event19th Annual International Symposium of the International Council on Systems Engineering, INCOSE 2009 - , Singapore
Duration: Jul 20 2009Jul 23 2009

Publication series

Name19th Annual International Symposium of the International Council on Systems Engineering, INCOSE 2009
Volume3

Other

Other19th Annual International Symposium of the International Council on Systems Engineering, INCOSE 2009
Country/TerritorySingapore
Period7/20/097/23/09

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems
  • Control and Systems Engineering

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