Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Big Data Visualization Analysis of Education Occupations with High Employment Rates by Age and Educational Background for Career-Interrupted Women

경력단절여성을 위한 연령 및 학력별 취업률이 높은 교육직종 빅 데이터 시각화 분석

  • Lee, Jeongwon (Department of Information Communication Engineering, Hanbat National University) ;
  • Lee, Choong Ho (Department of Information Communication Engineering, Hanbat National University)
  • Received : 2021.06.22
  • Accepted : 2021.07.14
  • Published : 2021.08.31
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Abstract

Support policies such as education and training for re-employment of career-interrupted women are being implemented, but they are not being effectively employed. In addition, it is difficult for women with high educational background to re-enter, such as having to revise their previous careers or plan a new career for re-employment. In the previous studies, there was insufficient research to solve fundamental problems for re-employment, such as promising jobs with high employment opportunities. Therefore, when developing a curriculum for women with career interruptions, it was felt the need to select educational occupations that would be helpful in finding employment by age and educational background of the trainees. In this study, data on vocational training education of women with career interruptions were used to analyze the educational occupations with the highest employment rate by age and educational background.

경력단절여성들의 재취업을 위한 교육 훈련 등의 지원정책이 이루어지고 있으나, 효과적으로 취업과 연계되지 않고 있다. 또한, 고학력 경력단절여성의 경우에는 재취업을 위하여 이전 경력을 수정하거나 새로운 경력을 계획해야 하는 등 재진입이 어려운 상황이다. 기존 선행연구들에서는 취업기회가 높은 유망 직종 등 재취업을 위한 근본적인 문제를 해결하기 위한 연구가 부족하였다. 따라서 경력단절여성들을 위한 교육과정 개발 시 교육 대상자의 연령 및 학력별로 취업에 도움이 되는 교육직종을 선별할 필요성이 있다. 본 연구는 경력단절여성들의 직업훈련 교육 데이터를 활용하여 연령 및 학력별로 취업률이 높은 교육직종을 분석하였다.

Keywords

Acknowledgement

This research was supported by the research fund of Hanbat National University in 2021.

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