COMPARISON OF THE EFFECTIVENESS OF ADMISSION METHODS THROUGH THE ANALYSIS OF FIRST-YEAR STUDENTS' ACADEMIC PERFORMANCE
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Abstract
Admission to University of Languages and International Studies, Vietnam National University, Hanoi (ULIS, VNU) is one of the most competitive entry points in tertiary education in Vietnam. ULIS, VNU admissions committees need accurate and precise screening tools to select among well-qualified applicants. This study explores data from a cohort of 1659 first-year students in the academic year 2022-2023. Based on the results of university enrollment in 2022, the authors aim to compare the effectiveness of different selection methods in selecting potential candidates through the analysis of the academic results of the successful candidates after their first year at ULIS, VNU. Using mathematical statistical methods and analysis tools from the admission software and the training management software of the university, the research results are expected to identify which admission methods lead to better academic performance after the first year of study, thereby providing forecasts and proposing suitable candidates and admission methods.
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Keywords
admission, predictivity, correlation, academic performance, educational measurement
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