• Journal of Fashion Business
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• v.19 no.3
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• pp.73-87
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• 2015

The purpose of this study is 1) to compare the employment status and wage level of "Clothing and Fashion" major (CF major) graduates with those from other majors and 2) to examine factors affecting the employment status and wage level of CF major university graduates. The data were pooled from the 2009-2012 Graduates Occupational Mobility Survey Data, conducted by Korea Employment Information Service. First, when graduates of CF major were compared with other majors in the same academic area-natural science and arts-, the rate of employment was higher for CF majors than that of other majors; on the other hand, there is no difference in the wage levels between those with graduates in CF majors and those with other majors. Second, we examined factors affecting CF major graduates' employment and wage level based on graduates' individual factors, university factor, and job preparation factors. Employment status of graduates in CF major was predicted by respondent's gender and university type, and work experience. The wage level of CF major graduates was significantly predicted by individual factors (e.g., gender and age, university factors (e.g., university type, university program, location), and job preparation factors (e.g., certificates, overseas experience of foreign language training, English test scores). The results of this study would provide a guide to direct university educational program in order to assess the current capabilities in the field of clothing and fashion.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.177-192
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• 2023

The employment rate of university graduates has been decreasing significantly recently. With the advent of the Fourth Industrial Revolution, the demand for software employment has increased. It is necessary to analyze the factors for software employment of university graduates. This paper proposes explainable software employment model of university graduates using machine learning and explainable AI. The Graduates Occupational Mobility Survey(GOMS) provided by the Korea Employment Information Service is used. The employment model uses boosting machine learning. Then, performance evaluation is performed with four algorithms of boosting model. Moreover, it explains the factors affecting the employment using SHAP. The results indicates that the top 3 factors are major, employment goal setting semester, and vocational education and training.

• Journal of Engineering Education Research
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• v.23 no.5
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• pp.26-39
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• 2020

The purpose of this study was to compare and analyze the employment rate of engineering graduates in the last eight years (2011-2018) by gender and majors. Using the statistical yearbook for employment of higher education graduates provided by the Korea Educational Development Institute (KEDI), the employment rate and retained employment rate of engineering graduates were investigated. As results, first, the employment rate has been decreasing since 2011, and the gender employment rate gap has not narrowed and women have always been lower than men. Second, most of the engineering graduates were workers with employee health insurance. On the other hand, women were higher than men in works with self-employee health insurance. Third, from 2016 to 2018, the retained employment rate of engineering graduates was similar, and as the survey progressed, the retained employment rate decreased. In particular, women had lower retained employment rate than men. The study is meaningful in that it suggested ways to bridge the gap between gender and majors employment rates of engineering graduates.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.241-246
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• 2023

The purpose of this study was to suggest the direction of university employment support through analysis of employment success factors for young college graduates and comparison of determining factors in metropolitan and non-metropolitan areas. For this purpose, the factors were analyzed using SPSS 25.0 statistical package binary logistic regression analysis using the 2019 'College Graduate Occupational Movement Path Survey' data provided by the Korea Employment Information Service. As a result of the study, among the personal characteristics of college graduates in Seoul and the metropolitan area, age, parental assets, and language training experience were (+) factors for employment success, and in terms of college characteristics, 2-3 year college graduates were more likely to succeed in employment than 4-year college graduates or education college graduates. In addition, among the personal characteristics of college graduates from non-metropolitan areas, age and parental assets were (+) factors in employment success, and 2-3 year college graduates were more likely to succeed in employment than 4-year college graduates.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.2
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• pp.393-404
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• 2013

In order to improve the employment rate of graduates in maritime and fisheries high schools, we investigated the employment situations of the those graduates for the last 8 years. The results were as follows, The ratio of graduates in maritime and fisheries high schools to total graduates of on-board departments are 69.1% and 30.9% respectively. The on-board employment rate of maritime high schools and fisheries high schools graduates are 63.2% and 26.7% respectively. Nearly all of the maritime high schools students were employed to merchant ship and fisheries high schools students were employed to merchant ship 77.2% and only 22.8% of them got a job on fisheries ship. The ratio of getting a job in maritime high schools to ocean-going ship was 76.7%, that was the highest ratio and the ratio of fisheries high schools got a job to ocean-going ship was 55.1%. The on-board career of maritime high schools graduates was 1~5 years, which took 86.4% of all careers and that of fisheries high schools was less than 1 year, which took 60.0% of all careers. We should make the various efforts to improve the employment rate of getting job to fisheries ship in the fisheries high school graduates.

• Asian Journal of Innovation and Policy
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• v.4 no.3
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• pp.288-306
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• 2015

This study analyzes the determinants on employment of 4-year college graduates. Data were collected from nine semesters from 2009 to 2014 totaling 4,176 engineering graduates of University ‘A’ in the capital area of Korea. Employment is analyzed on three levels reflecting the quality of employment such as total employment, preferred jobs and the top 500 companies. Eighteen variables were divided into four categories such as private attributes, curriculum activities, non-curriculum activities, and job preparation activities. The Hierarchical Logistic Regression Model was used. The results are as follows: top determinants included in each definition of employment are departments group, gender, employment program, and internship program. Also, grade points in major and basic courses were added as a result of curriculum activities. There is no statistical significance in household income, club activities and employment preparation activities. Also, the curriculum for major intensive courses and multi-majoring imposed by the university are not effective.

• Journal of Fisheries and Marine Sciences Education
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• v.23 no.4
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• pp.779-785
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• 2011

In order to improve the employment rate of graduates in maritime and fisheries universities, we investigated the employment situations of the those graduates for the last 7 years. The results were as follows, The ratio of graduates in maritime and fisheries universities to total graduates of on-board departments are 69.1% and 30.9% respectively. The on-board employment rate of maritime universities and fisheries universities graduates are 63.2% and 26.7% respectively. Nearly all of the maritime universities students were employed to merchant ship and fisheries universities students were employed to merchant ship 77.2% and only 22.8% of them got a job on fisheries ship. The ratio of getting a job in maritime universities to ocean-going ship was 76.7%, that was the highest ratio and the ratio of fisheries universities got a job to ocean-going ship was 55.1%. The on-board career of maritime universities graduates was 1~5 years, which took 86.4% of all careers and that of fisheries universities was less than 1 year, which took 60.0% of all careers. We should make the various efforts to improve the employment rate of getting job to fisheries ship in the fisheries university gradustes.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.1
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• pp.31-45
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• 2024

The purpose of this study is to explain employment factors in the software field. For it, the Graduates Occupational Mobility Survey by the Korea employment information service is used. This paper proposes employment models in the software field using machine learning. Then, it explains employment factors of the models using explainable artificial intelligence. The models focus on both university graduates and vocational college graduates. Our works explain and interpret both black box model and glass box model. The SHAP and EBM explanation are used to interpret black box model and glass box model, respectively. The results describes that positive employment impact factors are major, vocational education and training, employment preparation setting semester, and intern experience in the employment models. This study provides a job preparation guide to universitiy and vocational college students that want to work in software field.

• Journal of Engineering Education Research
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• v.17 no.6
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• pp.3-11
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• 2014

This study investigated the effects of WIE(Women into Engineering) programs on women engineers' employment and career duration. For this study, the 91 female graduates with a degree in the field of engineering of K university who graduated from 2010 to 2013 were collected. The female graduates with a degree in the field of engineering of K university were divided into 4 groups-an employment group of relevant field of major, an employment group of irrelevant field of major, a group of graduate school, and a group of unemployment. The results were: first, the female graduates' program participation scores showed meaningful diversity according to the types of employment of female graduates with a degree in the field of engineering. Among the 4 types of employment of female graduates with a degree in the field of engineering, the group of graduate schoolers got the highest program participation scores, and the employment group of relevant field of major got the second scores, the group of unemployment got the third scores, and the employment group of irrelevant field of major got the last scores. Second, The female graduates' program participation scores showed meaningful diversity according to the career duration of female graduates with a degree in the field of engineering. The career duration in accordance with the program participation scores showed meaningful difference between the employment group of relevant field of major and the employment group of irrelevant field of major.

• Journal of Fisheries and Marine Sciences Education
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• v.2 no.1
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• pp.50-56
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• 1989

The authors investigated the present status of employment of graduates from ship-boarding departments, Department of Fishing Technology, of Marine Engineering in National Fisheries University of Pusan from 1974 to 1988 by communication of every kind. The prospects of the graduates were studied on the bases of the present status of employment The results obtained can be shown as follows ; 1. In Department of Fishing Technology, the number of graduates who are engaged in major field is 562 (81%) among total members of graduates 693, and fishing vessel officer and fisheries company officer is 308(55%), 215(38%) respectively among the above members of employment in major field. 2. In Department of Marine Engineering, the number of graduates who are engaged in major field is 468(74%) among total members of graduates, 634, and engine and machinery field officer, merchant vessel officer is 331(71%), 89(19%) among above members of employment in major field respectively. 3. Developement of deep sea fisheries and industry of engine and machinery seems to graduates easy to get their jobs in major field.