Establishment of an education program participation plan strategy through data analysis between participation in university regular courses and extracurricular programs and employment performance

Authors

  • Yonghui Park PhD, Sunmoon University, South Korea, yonghuipark@sunmoon.ac.kr

Keywords:

competency-based education, employment, educational effect, statistical analysis, machine learning

Abstract

Since university education is centered on a competency-based education such as the National Competency Standards (NCS) or the university’s core competencies established by the government or the university, it is necessary to analyze which competencies can positively affect the smooth employment of graduates. This study analyzed the relationship between core competencies and employment of students who completed the competency-based curriculum and extracurricular programs for graduates of Y University in Korea and analyzed what was needed for each major’s curriculum improvement, such as the most effective program and specific programs suitable for each student level from admission to graduation, and university education policy. For instance, how educational input variables, such as GPA and core competency achievement by taking several regular and extracurricular programs at graduation, affect educational performance variables such as whether they are employed and the quality of their place of employment. The results of this analysis can be used to share optimized methods and tasks that can increase the employment rate and cultivate our students with the skills and attitudes that society asks for by developing customized programs and participating in effective programs for each department or major in the next year.

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Published

2024-02-12