By Topic

Classification of students' performance in computer programming course according to learning style

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Norwawi, N.M. ; Fac. of Sci. & Technol., Univ. Sains Islam Malaysia, Malaysia ; Abdusalam, S.F. ; Hibadullah, C.F. ; Shuaibu, B.M.

In information technology related programs, computer programming courses are made compulsory subjects in most institutions of learning. However there are many reports on poor performance among students in such courses. Previous studies examined some of the variables influencing students' performance using statistical data analysis. The critical point of this study is the use of classification algorithm to extract patterns which are examined from the cognitive factor specific learning style. The findings show that that student's good performance in programming courses has a visual, active and sequential learning style.

Published in:

Data Mining and Optimization, 2009. DMO '09. 2nd Conference on

Date of Conference:

27-28 Oct. 2009