APPLICATION OF DATA-DRIVEN DECISION MAKING IN EDUCATIONAL MANAGEMENT: AN ANALYSIS OF STUDENT PERFORMANCE AND TEACHING EFFECTIVENESS
Keywords:
Data-Driven Decision Making, Educational Management, Student Performance, Teaching Effectiveness, Learning AnalyticsAbstract
This study examines the application of data-driven decision making in educational management through an analysis ofstudent performance and teaching effectiveness using a quantitative approach. Drawing on 1,000 student records, thestudy evaluates the influence of student engagement variables, teaching-related factors, and academic performanceindicators. The analysis includes descriptive statistics, correlation analysis, and regression analysis to identify patternsand relationships among study hours, attendance percentage, assignments completed, class participation, teaching clarity,teaching helpfulness, feedback timeliness, midterm grades, and final grades. The findings reveal that students generallydemonstrate moderate to high levels of engagement, with relatively high attendance and favorable perceptions of teachingquality. Correlation results indicate that attendance and study hours are positively associated with final grades, whileteaching clarity and feedback timeliness also show meaningful relationships with student outcomes. Regression analysisfurther confirms that attendance, study hours, assignments completed, teaching clarity, and feedback timelinesssignificantly predict student performance. Among the teaching variables, teaching clarity emerges as the strongestcontributor to improved learning outcomes. The study highlights that both student engagement and instructional qualityjointly shape academic achievement. These findings demonstrate the value of educational analytics in supportingevidence-based management decisions, enabling institutions to improve teaching practices, strengthen student support,and enhance academic performance. Overall, the study contributes to the growing field of educational data analytics byshowing how data-informed strategies can promote more effective educational management and student success.
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