• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.763-771
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• 2013

Due to a decrease in the number of college prep students which was triggered by the low birth rate since 1990, it is predicted, beginning 2016, that the entrance quota for colleges will exceed the number of applicants for college admissions. This serious imbalance between supply and demand raises serious problems for the regional universities, many of which have already been struggling to recruit new students and even considered closing down the schools. In an effort to securing best high school students, many of the schools have been developing various unique and specialized selectional processes for the applicants. In this research, through a statistical analysis of special admission processes for vocational high school students who were admitted to a regional state-run university (University A), I tried to find a way to effectively deal with the student management. Statistically analyzing these first-year students' enrollment and their adjustment processes as well as the departmental relationships and gender differences, I tried to find some better ways to secure good applicants. It is expected that this study will not only be utilized as guide to adopt a way to bypass the enrollment quota in order to secure talented students but also be served as a reference that will help the students adapt themselves to school life until they graduate. It is also expected that this study will be expanded in such a way as to compare it with other models and even develop a new type of college entrance system that would fit future college admission policies.

• The Journal of Pediatrics of Korean Medicine
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• v.32 no.1
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• pp.83-91
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• 2018

Objectives This study aims to build the baseline data for promoting school health care program by identifying satisfaction level and improvement point through the satisfaction survey after Korean medicine doctor's student health and wellness program in 2016. Methods An association of Korean medicine doctor in Seongnam city conducted Korean medicine doctor's student health and wellness program for 12 middle schools, 6 high schools and 1 special-need school in Seongnam city in 2016. The participating Korean medicine doctor visited each school for 8 times and conducted health consultations, health education classes and Korean medicine treatment for the school students and the school employees. Teachers and administrators from the participating schools answered the self-reported satisfaction questionnaires and the results were analyzed by SPSS 22.0. Results 35 people responded the program satisfaction questionnaires, the overall satisfaction average was $9.40{\pm}0.88$ (out of 10). In the course of the program, satisfaction average regarding the student's health check-ups was $9.05{\pm}0.88$, satisfaction average regarding the informatory brochures for the parents was $9.08{\pm}1.09$, satisfaction average regarding the participation enrollment process was $9.06{\pm}1.16$, and the satisfaction average regarding the questionnaire statistics and the result reports was $8.86{\pm}1.93$. The satisfaction average of the program was as follows: health consultation ($9.20{\pm}1.08$), treatment ($9.31{\pm}0.90$), and health education classes ($8.78{\pm}1.68$). Some of the good things about program were 'Telling students about their physical condition' (57.1%), 'Curing the sick student quickly' (48.6%), 'Providing students with useful information about the health' (48.6%), 'Teaching students how to manage their health and how to manage symptoms' (42.9%). Average satisfaction about sustainability and needs of the program was $9.15{\pm}0.91$, and the participant teachers wanted to learn more about how to manage internet addiction (22.9%), stress (45.7%), atopy (28.6%), neck pain (42.9%), allergic rhinitis (37.1%), and low back pain (34.3%) from the future wellness programs. Conclusions Student health care is one of the most important issue in national health policies. We have designed a bridge model that a local community, school, and doctors can work together to develop. After the implementation of the program, the results of the satisfaction survey showed a very high satisfaction level. This study can be the basis for further improvement of the bridge program as well as the expansion of the program in other settings.

• Journal of Practical Engineering Education
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• v.5 no.2
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• pp.163-168
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• 2013

The vicious cycle of over-education has been made. That is, higher education enrollment rate is high, but university graduate employment rate is low. To eliminate this cycle and relieve youth unemployment and young people to enter the labor market early, dual education and training system is needed. This dual system can support working and learning in parallel. So, worker can get the opportunity pre-employment and post-learning and improve his/her job skills. Recent MOOC (Massive Open On-line Course), a new form of online education system, has emerged. MOOC combines education, entertainment and social networking, and emphasize the interaction between faculty and student and between students. The educational contents of MOOC are available free of charge. Using newly changed online education environments we can effectively provide knowledge and skills. In technology and engineering education hands-on training is necessary. In order to support work based learning dual system for worker to work and learn in parallel, we should build the multi-learning system to combine the online education and campus hands-on practice.

• Journal of Nutrition and Health
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• v.36 no.5
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• pp.528-535
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• 2003

The purposes of this study were: 1) to investigate the operational and financial characteristics of contract-managed high school food services in Seoul, 2) to analyze the financial performance of high school food services 3) to develop guidelines for meal pricing and facilities investment costs. From Oct to Nov 2001, questionnaires were mailed to 249 high schools that were managed by contract food service companies. A 40.2％ response rate was recorded. The results of this study were as follows: 1. Student enrollment in high schools run by contract-managed food services was 1,518, with a 68.5％ participation rate in the school lunch program. The average meal price was 2,141 won. 2. Based on the income statement analysis, average total sales were 410,440,504 won and average net profit was 16,098,558 won. 3. The optimum food cost per meal was 1,200-1,300 won per meal, calculating using the methods of conversion factor, RDA (Recommended Daily Allowance), and nutrient exchange unit. 4. Guidelines for meal pricing were developed using the modified actual pricing method based on facilities investment cost, number of meals and food cost. The ratio of labor cost, general management expenses and ordinary profit were adopted from the schools with liability. The food cost, depreciation and interest cost were calculated based on unit meal. 5. The guideline for facilities investment was developed based on the number of meals, meal price and food cost. The guideline included the maximum facilities investment cost paid by the contract food service management company. (Korean J Nutrition 36(5): 528∼535, 2003)

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.183-190
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• 2018

With decreasing the number of high school graduates, it is vital for each college to maintain its enrollment number as well as to preserve its dropout rate in a lower level. It is true that all universities and colleges have experienced inevitable dropouts that were in fact more serious in 2 to 3-year colleges. There have been prior studies to examine what factors affected to students' dropout in various ways. However, no specific programs were employed to mitigate the rates of dropout. In this study, new encouraging program is introduced for the students who were not ready to study and isolated from classroom. The result showed that the program led to the GPA enhancement in larger number of participants. Nevertheless, the sustainablity of the program would be unclear unless it combines with other existing programs.

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.117-130
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• 2014

The purpose of this study is to provide useful knowledge for improving indicators that represent competitiveness and educational competency of the university by deriving a new pattern or the meaningful results from the data of information disclosure of universities using statistical analysis and data mining techniques. To achieve this, a model of decision tree was made and various factors that affect education/research performance such as employment rate, the number of technology transfer and papers per full-time faculty were explored. In addition to this, the cluster analysis of universities was conducted using attributes related to evaluation of university. According to the analysis, common factors affecting higher education/research performance are following indicators ; incoming student recruitment rate, enrollment rate, and the number of students per full-time faculty. In the cluster analysis, when performed by the entire university, the size, location of the university respectively, clusters are mainly formed by well-known universities, art physical non-science and engineering religious leaders training universities, and others. The main influencing factors of this cluster are higher education/research performance indicators such as employment rate and the number of technology transfer.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.1
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• pp.149-168
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• 2024

This study aims to propose methods for determining the minimum book purchase cost budget in university libraries in accordance with the "University Library Promotion Act" and efficiently allocating and executing the secured book purchase cost budget to each department. To achieve this, the current status of university libraries and legal standards were examined and strategies for securing the minimum book purchase cost budget in accordance with legal standards were suggested, and a method for efficiently distributing the secured budget to departments was proposed. First, we determined the material acquisition budget for university libraries by applying the average price of domestically published books to the standards set forth in the University Library Promotion Act. The allocated budget was distributed with 80% assigned to departments and 20% budget for librarians. The department's allocated budget of 80% was then recalculated to 100% and distributed by applying three criteria: book prices by topic, student enrollment, and utilization rates.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.417-425
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• 2021

This study was conducted to evaluate the characteristics of major selection of college students majoring in culinary. By conducting an Importance-Performance Analysis(IPA) through students who are currently majoring in a culinary major, it is intended to increase student satisfaction, student loyalty, the enrollment rate and to present the direction the college should pursue. The questionnaire was conducted for 4 weeks from June 22, 2020 to July 19, 2020, the results are as follows. As a result of the t-test (paired sample t-test) for 23 attributes, the average value of importance was 4.0765, the average value of satisfaction was 3.5091, showing high importance, the attributes considered important by item were 'educational facilities (4.50)', 'school welfare (4.50)', the attributes having the highest satisfaction with experience after selecting a major were 'aptitude and conformity (3.94)', 'future hope and concordance (3.91)'. The IPA analysis results on the major selection attributes of college students majoring in culinary are as follows. First, In the first quadrant, 11 attributes including 'aptitude and conformity' appeared, Second, In the second quadrant, 5 attributes including 'employment support' appeared. Third, In the third quadrant, 5 attributes including 'college scholastic ability score' appeared, Finally, In the fourth quadrant, 2 attributes including 'experience in major field' appeared.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.61-74
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• 2022

Recently, youth unemployment, especially the unemployment problem of university graduates, has emerged as a social problem. Unemployment of university graduates is both a pan-national issue and a university-level issue, and each university is making many efforts to increase the employment rate of graduates. In this study, we present a model that predicts employment availability of D-university graduates by utilizing Machine Learning. The variables used were analyzed using up to 138 personal information, admission information, bachelor's information, etc., but in order to reflect them in the future curriculum, only the data after admission works effectively, so by department / student. The proposal was limited to the recommended ability to improve the separate employment rate. In other words, since admission grades are indicators that cannot be improved due to individual efforts after enrollment, they were used to improve the degree of prediction of employment rate. In this research, we implemented a employment prediction model through analysis of the core ability of D-University, which reflects the university's philosophy, goals, human resources awards, etc., and machined the impact of the introduction of a new core ability prediction model on actual employment. Use learning to evaluate. Carried out. It is significant to establish a basis for improving the employment rate by applying the results of future research to the establishment of curriculums by department and guidance for student careers.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.267-277
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• 2022

Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that students have embodied as a result of their experience in university education. Therefore, the academic achievement of university students will be given meaning in cooperation with the historical and social demands for diverse human resources such as creativity, leadership, and global ability, but it is practically an indicator of the outcome of university education. Measurement of academic achievement by such credits involves many problems, but in particular, standardization of academic achievement by credits based on evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that uses machine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variables used were analyzed using up to 96 personal information and bachelor's information such as graduation year, department number, department name, etc., but when establishing a future education course, only the data after enrollment works effectively. Therefore, the items to be analyzed are limited to the recommended ability to improve the academic achievement of the department/student. In this research, we implemented an academic achievement prediction model through analysis of core abilities that reflect the philosophy, goals, human resources image, and utilized machine learning to affect the impact of the introduction of the prediction model on academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidance conducted in the department to establish a basis for improving academic achievement.