THE IMPACT OF CLASS ATTENDANCE ON THE CADETS ACADEMIC PERFORMANCE IN A MILITARY UNIVERSITY

Purpose: This study aims to identify the quantitative relationship between cadets academic performance and their class attendance, providing mathematical evidence to support the hypothesis that attendance has a statistically significant impact on academic achievement in a military specialized educational institution. Theoretical framework: The methodological foundation of this research is based on the principles of probability theory and correlation analysis. In this context, attendance and academic performance are treated as random variables, and their interrelationship is assessed using statistical methods. The theoretical underpinnings draw upon existing literature in pedagogical psychology, educational analytics, and mathematical statistics. Method: This study applies two nonparametric statistical techniques - Spearmans rank correlation coefficient and Kendalls tau coefficient. These methods enable the identification and quantitative assessment of monotonic relationships between the number of class hours attended and students academic performance. The selection of these approaches is motivated by their robustness to deviations from normality, a crucial consideration when analyzing empirical data in educational research. Results and Discussion:The calculated correlation coefficients demonstrate a consistent positive relationship between class attendance and academic performance. In several instances, a strong degree of dependence was observed, reinforcing the conclusion that attendance is a significant predictor of educational outcomes. These findings highlight the practical relevance of attendance monitoring, suggesting that the proposed model may serve as an effective tool for the early identification of cadets at risk of academic underachievement. Furthermore, it can be utilized to enhance institutional systems for monitoring and managing educational quality. Originality/Value: This study highlights the potential of applying mathematical analysis methods, particularly rank correlation, to solve practical pedagogical challenges even within small student cohorts that exhibit specific characteristics (such as distinct psychological traits among cadets). The research gains particular relevance in the context of integrating digital monitoring and analytics tools into modern educational systems. The findings can provide a solid foundation for managerial decisions aimed at enhancing student discipline and improving the overall effectiveness of the educational process through the use of objective quantitative indicators.