The prediction of academic performance using engineering student’s profiles-Reference-Cited by-同舟云学术

The prediction of academic performance using engineering student’s profiles

Published:2021-07 Issue: Volume:93 Page:107288
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Gonzalez-Nucamendi Andres,Noguez Julieta^ORCID,Neri Luis^ORCID,Robledo-Rella Víctor^ORCID,García-Castelán Rosa María Guadalupe^ORCID,Escobar-Castillejos David^ORCID

Funder

Instituto Tecnológico y de Estudios Superiores de Monterrey

Novus International

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

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3. Self-efficacy, test anxiety, and academic success: A longitudinal validation;Roick;Int J Educ Res,2017

4. Predictive models to enhance learning based on student profiles derived from cognitive and social constructs;González-Nucamendi,2015

5. Reliability and validity assessment;Carmines,1991

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