INSIGHTS INTO STUDENT PERSPECTIVES: BAYESIAN MODELING OF LEARNING ENVIRONMENTS AND STUDY APPROACHES

Abstract

Understanding student perspectives on their learning environments and study approaches is crucial for designing effective educational interventions and fostering academic success. This study employs Bayesian modeling techniques to analyze data gathered from student surveys, exploring the complex relationships between various factors influencing learning experiences and study habits. By leveraging Bayesian inference, the study offers insights into the nuanced interactions between student characteristics, learning environments, and academic outcomes. The findings provide valuable guidance for educators and policymakers seeking to optimize learning environments and support students in achieving their educational goals.