Analysis of the Most Important Modern Factors That Led to the Decline in the Educational Level of the Student

Heba Loqman  Ameen; Adnan Mustafa  Hussein

Authors

Heba Loqman Ameen Northern Technical University, Administrative Technical College, Mosul, Iraq
Adnan Mustafa Hussein Northern Technical University, Administrative Technical College, Mosul, Iraq

Keywords:

Classification data, Regression analysis, Ordinal logistic regression model, Student Success, Higher Education

Abstract

This study investigates the key determinants of student success at Northern Technical University, addressing a gap in understanding how various demographic and lifestyle factors influence academic achievement in higher education. While numerous studies explore factors impacting student performance, limited research has applied ordinal logistic regression to identify specific predictors within diverse specializations, such as medical, engineering, and administrative fields. Using a sample of 171 student questionnaires, the research analyzes variables like gender, marital status, age, study hours, after-hours work, illness, and area of specialization. Data analysis was conducted via SPSS25, revealing that these factors significantly impact students’ academic performance. The findings underscore the importance of targeted support for students, with implications for university policies aimed at enhancing academic outcomes across different student demographics and specializations.

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