Publication:
Classification of Students' Performance in Computer Programming Course According to Learning Style

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dc.ConferencecodeUniv Kebangsaan Malaysia, Univ Kebangsaan Malaysia, Data Min & Optimizat, Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, IEEE Malaysia Sect, IEEE Comp Soc Malaysia Chapter
dc.ConferencedateOCT 27-28, 2009
dc.ConferencelocationBangi, MALAYSIA
dc.Conferencename2nd Conference on Data Mining and Optimization
dc.contributor.authorNorwawi, NMen_US
dc.contributor.authorAbdusalam, SFen_US
dc.contributor.authorHibadullah, CFen_US
dc.contributor.authorShuaibu, BMen_US
dc.date.accessioned2024-05-29T02:50:43Z
dc.date.available2024-05-29T02:50:43Z
dc.date.issued2009
dc.description.abstractIn 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.
dc.identifier.doi10.1109/DMO.2009.5341912
dc.identifier.epage+
dc.identifier.scopusWOS:000275108100008
dc.identifier.spage37
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11103
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEE Computer Socen_US
dc.relation.ispartof2009 2nd Conference On Data Mining And Optimization
dc.sourceWeb Of Science (ISI)
dc.subjectClassificationen_US
dc.subjectProficiency in Programmingen_US
dc.titleClassification of Students' Performance in Computer Programming Course According to Learning Style
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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