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 :
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