Predictive modeling of first-year student performance in engineering education using sequential penalization-based regression-Reference-Cited by-同舟云学术

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Predictive modeling of first-year student performance in engineering education using sequential penalization-based regression

Published:2019-01-02 Issue:1 Volume:22 Page:31-50
ISSN:0972-0510
Container-title:Journal of Statistics and Management Systems
language:en
Short-container-title:Journal of Statistics and Management Systems

Author:

Al Sheeb Bothaina¹^ORCID,Abdella Galal M.²^ORCID,Hamouda Abdel Magid²,Abdulwahed Mahmoud Samir²^ORCID

Affiliation:

1. Department of Mechanical and Industrial Engineering, Technology Innovation & Engineering Education Unit, College of Engineering, Qatar University, Doha 2713, Qatar

2. Department of Mechanical and Industrial Engineering, Technology Innovation & Engineering Education Unit, College of Engineering, Qatar University, Doha 2713, Qatar,

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720510.2018.1509817

Reference39 articles.

1. Ridge Regression: Biased Estimation for Nonorthogonal Problems

2. Performance of Some New Ridge Regression Estimators

3. Understanding Our Students: A Longitudinal-Study of Success and Failure in Engineering With Implications for Increased Retention

4. Characteristics of Freshman Engineering Students: Models for Determining Student Attrition in Engineering

5. Engineering Student Attitudes Assessment

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