International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 70 - Issue 17 |
Published: May 2013 |
Authors: A. F. El Gamal |
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A. F. El Gamal . An Educational Data Mining Model for Predicting Student Performance in Programming Course. International Journal of Computer Applications. 70, 17 (May 2013), 22-28. DOI=10.5120/12160-8163
@article{ 10.5120/12160-8163, author = { A. F. El Gamal }, title = { An Educational Data Mining Model for Predicting Student Performance in Programming Course }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 70 }, number = { 17 }, pages = { 22-28 }, doi = { 10.5120/12160-8163 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A A. F. El Gamal %T An Educational Data Mining Model for Predicting Student Performance in Programming Course%T %J International Journal of Computer Applications %V 70 %N 17 %P 22-28 %R 10.5120/12160-8163 %I Foundation of Computer Science (FCS), NY, USA
This paper presents an educational data mining model for predicting student performance in programming courses. Identifying variables that predict student programming performance may help educators. These variables are influenced by various factors. The study engages factors like students' mathematical background, programming aptitude, problem solving skills, gender, prior experience, high school mathematics grade, locality, previous computer programming experience, and e learning usage. The proposed model includes three phases; data preprocessing, attribute selection and rule extraction algorithm.