University of Bahrain
Scientific Journals

Mining Students Outcomes: An Empirical Study

Show simple item record Albalooshi, Fawzi AlObaidy, Hadeel Ghanim, Amal 2019-04-30T11:52:41Z 2019-04-30T11:52:41Z 2019-05-01
dc.identifier.issn 2210-142X
dc.description.abstract The purpose of the research presented in this paper is to extract students’ individualized learning achievements from course information and assessments results for student groups and predict expected performance in future courses based on existing achievements in a set of student outcomes at the program level. Data mining techniques are used to process course information and extract students’ achievements in a set of student outcomes. Two prediction algorithms namely single linear regression and multiple linear regression are applied to determine students’ expected performance in future courses. Specialized programs have been designed, implemented and processed in stages to achieve the results as described in this paper. The results show that by using data mining techniques individualized students’ performance information can successfully be extracted to provide formative feedback. This information is further processed by applying prediction algorithms to determine expected students’ performance in future courses depending on the available historical records for courses. en_US
dc.language.iso en_US en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Educational Data Mining en_US
dc.subject Prediction en_US
dc.subject Linear regression en_US
dc.subject Multi-valued regression en_US
dc.subject Association en_US
dc.subject Learners’ achievements en_US
dc.title Mining Students Outcomes: An Empirical Study en_US
dc.type Article en_US
dc.volume 08 en_US
dc.issue 03 en_US
dc.pagestart 229 en_US
dc.pageend 241 en_US
dc.contributor.authorcountry Bahrain en_US
dc.contributor.authoraffiliation Department of Computer Science, University of Bahrain en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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