• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.113-124
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• 2024

One of the goals of the Saudi Arabia 2030 vision is to ensure full employment of its citizens. Recruitment of graduates depends on the quality of skills that they may have gained during their study. Hence, the quality of education and ensuring that graduates have sufficient knowledge about the in-demand skills of the market are necessary. However, IT graduates are usually not aware of whether they are suitable for recruitment or not. This study builds a prediction model that can be deployed on the web, where users can input variables to generate predictions. Furthermore, it provides data-driven recommendations of the in-demand skills in the Saudi IT labor market to overcome the unemployment problem. Data were collected from two online job portals: LinkedIn and Bayt.com. Three machine learning algorithms, namely, Support Vector Machine, k-Nearest Neighbor, and Naïve Bayes were used to build the model. Furthermore, descriptive and data analysis methods were employed herein to evaluate the existing gap. Results showed that there existed a gap between labor market employers' expectations of Saudi workers and the skills that the workers were equipped with from their educational institutions. Planned collaboration between industry and education providers is required to narrow down this gap.

• Proceedings of the PSK Conference
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• 2003.10b
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• pp.68.2-68.2
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• 2003

We performed this survey to hear Yeungnam University Graduates' opinion on the current curriculum for the purpose of creating an education system of “practically competent person” instead of simply “competent person”. Questionnaire was made up of 13 multiple-choice questions and 1 descriptive question by Curriculum Reform Task Force of Yeungnam University. The survey was administered to randomly chosen 50 graduates by e-mail on August 1, 2003 and was collected between August 1 and August 10, 2003 for the analysis of respondent’s reply. (omitted)

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.1
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• pp.99-106
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• 2016

This study is to develop the curriculum for training students with practical business skills which medical business needs. We surveyed businesses which have employed graduates who majored in medical information. The survey was conducted into the expectation of business for graduates, their job competence and business needs for curriculum utilizing the self-reported questionnaire. We analyzed correlation, frequency and regression among job class, business types and job positions of those surveyed. The result shows that medical information businesses express high expectation in personality education rather than major knowledge and think that field practice is important in the college curriculum. We expects the study will contribute positively to improve the curriculum for raising the employment rate of college graduates.

• IE interfaces
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• v.20 no.1
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• pp.1-10
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• 2007

The main purpose of this research is to find out whether curriculums of industrial engineering (IE) departments meet the demand of IE graduates working in various fields. The research was conducted as an online questionnaire survey selecting IE Graduates working in industries as practising engineers. 1,324 participants were validated among 1,477 participants. 13 fields were selected and used in the survey. Those were; 1) Mathematical statistics, 2) Computer, 3) Purchase, 4) Production system, 5) Logistics, 6) Marketing, 7) Monetary, 8) Experiment methods, 9) Operations Research (OR), 10) Human Factors, 11) Quality, 12) Engineering management, and 13) Information systems. Using the 5-scale Likert rating, each education subject was assessed both in terms of its usefulness in practices and the amount it being taught in school. As a result, courses such as motion/time study, linear programming that IE has traditionally focused showed less usefulness in practices while it is taught in relatively large amount in schools. However, courses such as 6 sigma, CRM which are closely related to industrial practices showed high usefulness in practices compared with low degree of teaching in school. This was the first ever large scalesurvey conducted for IE graduates in Korea. The result of survey displayed many helpful information on current status and future direction of IE education in Korea.

• The Journal of Korean Academic Society of Nursing Education
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• v.14 no.1
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• pp.88-97
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• 2008

Purpose: This study was done to develop strategies for better education and career adaptation of nursing students by investigating the recognition and intentions of nursing students and graduates on the nursing and a future career. Method: Data was collected from a survey conducted between the 1st of October and 5th of December, 2007. Participants were 113 students and 37 graduates of one nursing college. Result: The majority of participants thought that atmosphere and relationships were important criteria to choose a job. Most of them selected nursing major not because their aptitude but because of its professionalism and job stability. Most wanted to go to graduate school and were interested in a nurse specialist program, especially for critical and emergency care. The preferred nursing role changed from recovery care to health promotion as they advanced in their studies. They thought work overload and fatigue from three shift as barriers for a longer stay as a clinical nurse. Conclusion: This study is meaningful in a way that it suggests some strategies for promoting nursing professionalism and adaptation to working field. In order to generalize the results of this study, replicate studies need to be conducted with nation-wide samples.

• Journal of Labour Economics
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• v.42 no.3
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• pp.39-74
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• 2019

In this paper, the wage equations of local labor markets for college graduates in Korea are estimated by Dahl(2002)'s methodology to correct for selection bias. The results suggest that the variations of coefficients in wage equations across the local labor markets are mostly remained after correcting for selection bias. The gender wage gap is hardly affected by selection bias. The variations of return to education and the major premium are reduced about 18% and 11% respectively. Meanwhile, the selection bias is negligible in the national capital region, which suggests that college graduates prefer the national capital region regardless of their gender, level of education, and major.

• Journal of vocational education research
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• v.37 no.2
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• pp.77-99
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• 2018

The purpose of this study was to investigate the employment possibility of the humanities college graduates to science and engineering field occupations, and to identify the occupational characteristics related to employability perceived by workers. To do this, basic statistical analysis, correlation analysis, and hierarchical multiple regression analysis were conducted using the data surveyed on 2,600 workers in the science and engineering field in the 'Research on Korean Occupational Index for Career and Employment Service(2017)'. The main results are as follows. First, the employment possibility of the humanities college graduates to science and engineering field was low, except for some occupations in the information communication, manufacturing and processing fields. Second, the occupational characteristics affecting the employment possibilities of the humanities college graduates to science and engineering field are as follows: low importance of the final education, low importance of the major, low importance of qualification, high importance of vocational training, easy to return after the career break, high level of gender equality, high level of pleasant work environment, high employment retention, easy to self-employment or start-up, and increasing number of jobs. Based on the results of this study, to support employment of humanities college graduate from the occupational aspect, it is necessary to find out some detailed jobs or to develop convergence occupations. At this time, it is possible to utilize the occupational characteristics factors that increase the employment possibility of humanities college graduates to science and engineering occupations.

• The Journal of Information Systems
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• v.29 no.2
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• pp.287-306
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• 2020

Purpose Youth unemployment is a social problem that continues to emerge in Korea. In this study, we create a model that predicts the employment of college graduates using decision tree, random forest and artificial neural network among machine learning techniques and compare the performance between each model through prediction results. Design/methodology/approach In this study, the data processing was performed, including the acquisition of the college graduates' vocational path survey data first, then the selection of independent variables and setting up dependent variables. We use R to create decision tree, random forest, and artificial neural network models and predicted whether college graduates were employed through each model. And at the end, the performance of each model was compared and evaluated. Findings The results showed that the random forest model had the highest performance, and the artificial neural network model had a narrow difference in performance than the decision tree model. In the decision-making tree model, key nodes were selected as to whether they receive economic support from their families, major affiliates, the route of obtaining information for jobs at universities, the importance of working income when choosing jobs and the location of graduation universities. Identifying the importance of variables in the random forest model, whether they receive economic support from their families as important variables, majors, the route to obtaining job information, the degree of irritating feelings for a month, and the location of the graduating university were selected.

• Korea journal of population studies
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• v.29 no.3
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• pp.29-50
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• 2006

This study examines the effects of pre-employment efforts of the youth on their transition to the labor market. Labor market performance is accessed by the transitory period, the employment at workplace with more than 300 employees, and the wage level. Based on the effects of employment efforts for the first transitory period, job experience during school and preparatory period for employment would raise the likelihood of employment, but the school credit, grade in English, and the frequency of interviews, on the contrary, failed to reduce the transitory period. Employment effect varied according to educational background. In case of college graduates, vocational education and job experience during school were statistically significant variables leading them to decent jobs. On the other hand, in case of university graduates, job experience and language skills were proven to be important factors. Lastly, for the wage effect, in case of college graduates, vocational training, job experience during school, and English ability were proven to increase the wage level. However, vocational training after graduation and job experience during school decreased the wage level, but grade in English and pre-employment efforts during school increased the possibility of getting a decent, highly paid job for university graduates.

• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.2
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• pp.101-112
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• 2024

Purpose: The study aimed to examine doctoral students' degree acquisition paths and postgraduate research achievements and explore whether there are differences in the research achievements of doctoral degree holders in relation to the dissertation format. Methods: This study is a retrospective cohort study of nursing doctoral graduates whose degree conferral dates were between August 2013 and August 2023 that compared two dissertation tracks: traditional and publication. We evaluated the proportion of graduates in each track, publication of their dissertations, time to graduation, and the number of peer-reviewed journal publications after graduation. Results: Of the sample, 160 (87.4%) graduated in the traditional track, with only 56 (35.0%) of them publishing their dissertations after graduation. Excluding dissertations, 114 of the graduates (71.3%) published first-authored articles in the traditional track, while 12 (52.2%) did so in the publication track. The time to graduation was significantly shorter in the traditional track, with an average of 5.47±2.45 years, compared to 6.61±2.57 years in the publication track (z=2.26, p=.023). In the traditional track, 64 of graduates (40.0%) majored in adult health nursing, whereas in the publication track, 8 (34.8%) studied community health nursing. Conclusion: This study emphasizes the significance of the publication track for nursing doctoral dissertations in terms of research dissemination. Despite its numerous advantages, it is not yet the preferred choice for both students and faculty. Maintaining the publication track as an additional graduation option is worthwhile, as it allows students to gain research publishing experience before graduation and to effectively disseminate scientific findings in nursing.