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http://dx.doi.org/10.6109/jkiice.2021.25.8.1019

Big Data Visualization Analysis of Education Occupations with High Employment Rates by Age and Educational Background for Career-Interrupted Women  

Lee, Jeongwon (Department of Information Communication Engineering, Hanbat National University)
Lee, Choong Ho (Department of Information Communication Engineering, Hanbat National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.8, 2021 , pp. 1019-1025 More about this Journal
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.
Keywords
Big data analysis; Career break; Employment; Occupation; Visualization analysis;
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