LEARNING ANALYTICS FOR IMPROVING EDUCATIONAL OUTCOMES: A DATA- DRIVEN FRAMEWORK FOR ENHANCING STUDENT PERFORMANCE AND ACADEMIC SUCCESS

This study adopts a quantitative descriptive-correlational research design. The descriptive component is used to systematically examine and present the current level of learning analytics implementation and educational outcomes among selected respondents. Meanwhile, the correlational component is employed to determine the strength and direction of the relationship between learning analytics implementation and educational outcomes, such as academic performance, student engagement, retention, and learning achievement. This design is appropriate for the study because it allows for objective measurement of variables, statistical analysis of relationships, and evidence-based interpretation of how learning analytics influences educational outcomes without manipulating any variables.