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
Link To Document