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

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dc.Conferencecode78940
dc.Conferencedate27 October 2009 through 28 October 2009
dc.ConferencelocationBangi, Selangor
dc.Conferencename2009 2nd Conference on Data Mining and Optimization, DMO 2009
dc.citedby8
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Utara Malaysia (UUM)
dc.contributor.authorNorwawi N.M.en_US
dc.contributor.authorAbdusalam S.F.en_US
dc.contributor.authorHibadullah C.F.en_US
dc.contributor.authorShuaibu B.M.en_US
dc.date.accessioned2024-05-28T08:32:45Z
dc.date.available2024-05-28T08:32:45Z
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. � 2009 IEEE.
dc.description.natureFinalen_US
dc.description.sponsorshipUniversiti Kebangsaan Malaysia
dc.description.sponsorshipUniversiti Kebangsaan Malaysia, Faculty
dc.description.sponsorshipInformation Science and Technology
dc.description.sponsorshipUniversiti Kebangsaan Malaysia,
dc.description.sponsorshipData Mining and Optimization Research Group
dc.identifier.ArtNo5341912
dc.identifier.doi10.1109/DMO.2009.5341912
dc.identifier.epage41
dc.identifier.isbn9781420000000
dc.identifier.scopus2-s2.0-72449148174
dc.identifier.spage37
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-72449148174&doi=10.1109%2fDMO.2009.5341912&partnerID=40&md5=41744498ab41ecab46edec14ad65470e
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9033
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartof2009 2nd Conference on Data Mining and Optimization, DMO 2009
dc.sourceScopus
dc.subjectClassificationen_US
dc.subjectProficiency in programmingen_US
dc.subjectClassification algorithmen_US
dc.subjectCognitive factorsen_US
dc.subjectComputer programming courseen_US
dc.subjectCritical pointsen_US
dc.subjectLearning Styleen_US
dc.subjectPoor performanceen_US
dc.subjectProgramming courseen_US
dc.subjectSequential learningen_US
dc.subjectSpecific learningen_US
dc.subjectStatistical data analysisen_US
dc.subjectData miningen_US
dc.subjectEquations of stateen_US
dc.subjectLearning algorithmsen_US
dc.subjectStudentsen_US
dc.subjectTeachingen_US
dc.subjectComputer programmingen_US
dc.titleClassification of students' performance in computer programming course according to learning style
dc.typeConference Paperen_US
dspace.entity.typePublication

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