• DocumentCode
    1666878
  • Title

    Learning Styles Data and Designing Multimedia for Engineers

  • Author

    Kirkham, Patricia ; Farkas, David K. ; Lidstrom, Mary E.

  • Author_Institution
    Naval Surface Warfare Center, Crane, IN
  • fYear
    2006
  • Firstpage
    57
  • Lastpage
    67
  • Abstract
    During the development of the multimedia learning environment Biology for Engineers, learning styles data from the Myers-Briggs type indicator (MBTI) and the Felder/Soloman index of learning styles (ILS) was obtained from over 150 engineering students at the University of Washington and compared with a pool of existing data from six earlier studies. Although there are discrepancies, the UW data broadly corresponds with the data from the combined pool. L-styles data, despite significant limitations, can contribute to the multimedia design process when viewed as a kind of customer survey of user preferences and a heuristic for considering various design alternatives. Future designers can either utilize the data presented in this study or test their own users
  • Keywords
    computer science education; multimedia computing; Felder-Soloman index of learning styles; L-styles data; Myers-Briggs type indicator; learning styles data; multimedia design; multimedia learning environment; Animation; Biomedical engineering; Data engineering; Design engineering; Engineering in medicine and biology; Engineering students; Maximum likelihood estimation; Navigation; Process design; Testing; ILS; MBTI; instructional design; learning styles; multimedia;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    International Professional Communication Conference, 2006 IEEE
  • Conference_Location
    Saratoga Springs, NY
  • Print_ISBN
    0-7803-9777-0
  • Electronic_ISBN
    0-7803-9778-9
  • Type

    conf

  • DOI
    10.1109/IPCC.2006.320390
  • Filename
    4114183