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AuthorAl-Sheeb B.A.
AuthorHamouda A.M.
AuthorAbdella G.M.
Available date2020-04-09T12:27:28Z
Publication Date2019
Publication NameJournal of Applied Research in Higher Education
ResourceScopus
ISSN20507003
URIhttp://dx.doi.org/10.1108/JARHE-10-2017-0120
URIhttp://hdl.handle.net/10576/13992
AbstractThe retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction.
Languageen
PublisherEmerald Group Publishing Ltd.
SubjectAcademic achievement
Engineering students
Prediction
Retention
TitleModeling of student academic achievement in engineering education using cognitive and non-cognitive factors
TypeArticle
Pagination178-198
Issue Number2
Volume Number11
dc.accessType Open Access


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