역량중심 교육과정 개발을 위한 학업성취도 예측 시스템: D대학 사례를 중심으로

Abstract

Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that studentshave embodied as a result of their experience in university education. Therefore, the academic achievement of universitystudents will be given meaning in cooperation with the historical and social demands for diverse human resources such as creativity,leadership, and global ability, but it is practically an indicator of the outcome of university education. Measurement of academic achievement by such credits involves many problems, but in particular, standardization of academic achievement by credits basedon evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that usesmachine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variablesused were analyzed using up to 96 personal information and bachelor’s information such as graduation year, department number,department name, etc., but when establishing a future education course, only the data after enrollment works effectively. Therefore,the items to be analyzed are limited to the recommended ability to improve the academic achievement of the department/student. Inthis research, we implemented an academic achievement prediction model through analysis of core abilities that reflect the philosophy,goals, human resources image, and utilized machine learning to affect the impact of the introduction of the prediction modelon academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidanceconducted in the department to establish a basis for improving academic achievement.