Quarterly Journal of New Approaches
in Industrial Engineering and Management
Volume 4, Issue 1 (5-2026)
2026, 4(1): 94-102 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Zahraii M, Hosseingholi F, Taghipour M, Zamiri A. Predicting academic performance based on stress and working memory in elementary school students. , Quarterly Journal of New Approaches in Industrial Engineering and Management. 2026; 4 (1) :94-102
URL: http://iem-science.ir/article-1-237-en.html
URL: http://iem-science.ir/article-1-237-en.html
Department of Industrial Engineering, Sohravardi Non-Profit Higher Education Institute, Qazvin, Iran
Abstract: (207 Views)
This study was conducted with the aim of predicting academic performance based on stress and working memory in elementary school students. The present study was applied in terms of its purpose and descriptive in terms of its implementation method, and the statistical population of the present study was all second-grade elementary school students in Abek, Qazvin, in the academic year 1404-1405, totaling 1300 people, who were selected from 296 people using multi-stage cluster sampling. Data analysis in this study was performed using SPSS27 software. The findings showed that working memory with a beta coefficient of 0.272 and stress with a beta coefficient of -0.351 can predict students' academic performance.
Type of Study: Research |
Subject:
Special
Received: 2026/04/11 | Accepted: 2026/06/17 | Published: 2026/06/20
Received: 2026/04/11 | Accepted: 2026/06/17 | Published: 2026/06/20
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |