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http://dx.doi.org/10.14702/JPEE.2021.125

Analysis of Online Students' Characteristics at STEP of Online-Lifelong Education Institute  

Moon, Cheolhan (School of Computer Science and Engineering, Korea University of Technology and Education)
Choe, Seong Jun (School of Computer Science and Engineering, Korea University of Technology and Education)
Kim, Mi Hwa (Department of HRD, Korea University of Technology and Education)
Myung, Jae Kyu (Department of Small and Medium Enterprise Management, Korea University of Technology and Education)
Min, Jun-Ki (School of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
Journal of Practical Engineering Education / v.13, no.1, 2021 , pp. 125-139 More about this Journal
Abstract
In this paper, we conducted a descriptive statistical analysis on the data of about 157 thousands of students and 510,000 enroll data of the STEP online service provided by the Online Lifelong Education Institute. According to the classification such as company adaptation, regular and cardinal, we analyzed the distributions of students' grades for each classifications. As the result of analyzation, it was shown that the distribution of grades is extreme skewed such that there are large numbers of less than 10 points or more than 90 points. In addition, K-means clustering was performed on the data of uncompleted students to analyze the characteristics of them. As a result, it was confirmed that the non-completion rate of students in 30 s and 40 s ages who took the course in the summer, was high. Furthermore, as a result of applying the decision tree technique to the completion status information of all students, we found that the uncompleted rate of male and vocational college graduates taking a large number of courses was high. Consequently, we have to encourage learning to such STEP students in order to increase the completion rate.
Keywords
Online education; Statistics; Uncompleted student analysis;
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