Title :
Gender difference in learning styles of computer majors: Measurement and analysis
Author :
Long, Qingyun ; Hu, Qiaoduo
Author_Institution :
Dept. of Inf. & Comput., Shanghai Bus. Sch., Shanghai, China
Abstract :
Learning styles of computer majors are measured by amended Memletics-Learning-Styles-Inventory. The Independent-Samples T Test is used to test the hypothesis that female students differ from male students in their learning styles. Quantitative analysis showed that female students score higher in logical dimension, lower in social and solitary dimensions, and no statistically significant difference in visual, aural, verbal and physical dimensions, compared with male students. Parts of those findings are quite different with prior research. Targeted teaching techniques are proposed to address gender difference in learning styles of computer majors.
Keywords :
computer science education; gender issues; teaching; computer majors; gender difference; independent samples T test; learning styles; memletics learning styles inventory; quantitative analysis; teaching technique; Computational modeling; Computer science; Computer science education; Computers; Educational institutions; Visualization; analysis; computer education; gender; learning style; measurement; teaching technique;
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
DOI :
10.1109/ICCSE.2010.5593625