DETERMINANTS OF STUDENT ACADEMIC PERFORMANCE: A DATA DRIVEN ANALYSIS OF STUDY HABITS, ABSENTEEISM, AND SOCIO EDUCATIONAL FACTORS
Abstract
The factors of student performance in school analyzing the overall impact of study, absenteeism and socio-educational
factors in a quantitative and data-driven study. The study is analysed using secondary data that is student level data,
which contains variables like Grade point average (GPA), study time, absenteeism, parental support, parental education,
tutoring, and extracurricular activities. Largely descriptive statistics, correlation analysis and multiple linear regression
were utilized to determine significant predictors of academic performance. The results indicate that absenceeeism has a
high negative effect on student achievement and time spent studying, especially in academic activities has a positive effect
on performance. Also, there are socio-educational factors like parental support and parental education which have a
significant impact on academic outcomes, thereby emphasizing the role of family involvement. The regression equation
shows a large degree of explanatory power, which means that the chosen variables explain a large share of the variance
of academic performance together. The paper highlights the significance of the combination of behavioral and socio
educational aspects in order to understand student achievement in a better way. The results have practical implications
to educators, policymakers, and parents since they highlight the importance of encouraging regular attendance, effective
study behaviors, and positive home conditions in order to improve educational outcomes.
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