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http://dx.doi.org/10.14702/JPEE.2022.267

Learning Ability Prediction System for Developing Competence Based Curriculum: Focusing on the Case of D-University  

Kim, Sungkook (Div. of IT Convergence, Doowon Technical University)
Oh, Chang-Heon (School of Electrical, Electronics and Communication Engineering, KOREATECH)
Publication Information
Journal of Practical Engineering Education / v.14, no.2, 2022 , pp. 267-277 More about this Journal
Abstract
Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that students have embodied as a result of their experience in university education. Therefore, the academic achievement of university students 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 based on evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that uses machine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variables used 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. In this 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 model on academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidance conducted in the department to establish a basis for improving academic achievement.
Keywords
Academic ability; Big data; Core competency; Curriculum; Machine Learning; Prediction system;
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