Academic Performance as a Predictor of LET Success: A Regression Analysis among BEED Graduates at Davao Oriental State University – Cateel Campus
Mary Lovely Suzzeth P. Mendez
*
Davao Oriental State University-Cateel Campus (DorSU-CC), Mahan-ob, Mainit, Cateel, Davao Oriental, Philippines.
*Author to whom correspondence should be addressed.
Abstract
This study examined the predictive relationship between General Weighted Average (GWA) and performance in the Licensure Examination for Teachers (LET) among Bachelor of Elementary Education (BEED) graduates of Davao Oriental State University – Cateel Campus. Recognizing GWA as a key indicator of academic achievement, the research aimed to determine whether undergraduate academic performance could significantly predict licensure outcomes. Utilizing a correlational research design and employing complete enumeration of BEED graduates from the 2022 and 2023 cohorts, the study used descriptive statistics, Pearson’s correlation, and simple linear regression to analyze secondary data obtained from institutional records. Findings revealed a strong positive association between academic performance and LET outcomes, indicating that graduates with better GWAs were more likely to achieve higher licensure exam scores. These results emphasize the importance of sustained academic performance in building foundational knowledge for licensure success. While GWA emerged as a significant predictor, the study acknowledges that other factors—such as student motivation, test preparation, and support systems—may also influence LET results. The findings offer practical insights for students, educators, administrators, and policymakers in enhancing teacher education programs and licensure preparation efforts. This study addresses a gap in institutional research and contributes to evidence-based strategies for improving academic and professional outcomes among future educators.
Keywords: LET, GWA, BEED graduates, academic performance, regression analysis