EconPapers    
Economics at your fingertips  
 

Identifying the variables that favor the application of the course system instead of the annual system

Diaa Obaed Mahmood () and Obaid Mahmmood Mohsin Alzawbaee ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 2, 1707-1714

Abstract: Iraqi higher education institutions vary in the application of educational systems. Some of them adopt the annual system, others adopt the course system, and a few adopt the credit hour system. Technical education in Iraq has taken its share of applying the different educational systems, and recently it has relatively settled on applying the course system. A mathematical model was built to predict the likelihood of applying the course system instead of the annual system, using the logistic regression analysis technique, by identifying the independent variables with a significant impact from the total number of variables, which amounted to 13 variables. It was found that 7 variables were statistically significant, and they were arranged according to their importance. The tests proved the accuracy and strength of the model, as the percentage of correct classification reached 90.8%.

Keywords: Binary variable; Course system; Logistic analysis; Qualitative variable. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijirss.com/index.php/ijirss/article/view/5531/970 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aac:ijirss:v:8:y:2025:i:2:p:1707-1714:id:5531

Access Statistics for this article

International Journal of Innovative Research and Scientific Studies is currently edited by Natalie Jean

More articles in International Journal of Innovative Research and Scientific Studies from Innovative Research Publishing
Bibliographic data for series maintained by Natalie Jean ().

 
Page updated 2025-03-22
Handle: RePEc:aac:ijirss:v:8:y:2025:i:2:p:1707-1714:id:5531