Modeling of student academic achievement in engineering education using cognitive and non-cognitive factors
Author | Al-Sheeb B.A. |
Author | Hamouda A.M. |
Author | Abdella G.M. |
Available date | 2020-04-09T12:27:28Z |
Publication Date | 2019 |
Publication Name | Journal of Applied Research in Higher Education |
Resource | Scopus |
ISSN | 20507003 |
Abstract | The 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. |
Language | en |
Publisher | Emerald Group Publishing Ltd. |
Subject | Academic achievement Engineering students Prediction Retention |
Type | Article |
Pagination | 178-198 |
Issue Number | 2 |
Volume Number | 11 |
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Mechanical & Industrial Engineering [1343 items ]