• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.64-67
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• 2012

본 논문은 대학교 신입생들의 진로선택에 대한 특성을 파악하고자 실시하였다. 연구 대상자는 1개 학부, 16개 학과의 2011년 신입생 750명이었다. 구조화된 설문지를 이용하여, 대학 및 학과 선택과 사항을 파악하였으며 자기기입식으로 작성하였다. 지원한 대학의 수는 3~4개가 가장 많았으며, 고 3 시기에 대학과 전공을 주로 결정하는 것으로 나타났고, 학교보다 학과에 비중을 두고 선택하는 경우가 많았다. 진로선택 유형에서는 가족형이 가장 많았고 학교형, 독립형, 학원형 순으로 나타났다. 학과 선택시의 기준은 적성고려, 취업전망 순이었고, 입학하는 학과에 대해 대부분의 신입생들이 사전 정보와 지식을 갖고 있었다. 대학 선택시 기준은 합격 가능성이 높은 곳을 주로 선택하고 있었다. 고교교사/학교와 인터넷을 통하여 대학을 알게 된 경우가 가장 많았고, TV/라디오, 신문과 같은 매체를 통해 알게 된 경우는 아주 적었다. 따라서, 진로선택에 가장 많은 영향을 주는 부모와 가족들을 대상으로 한 대학과 전공에 대한 정확한 정보 제공이 필요하며 고교와 인터넷, 스마트폰과 같은 매체를 이용한 홍보 전략의 개발이 필요한 것으로 나타났다.

• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.155-165
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• 2017

This study was conducted to explore differences of major selection regret and reasons by major selection motivation, and differences of college life, employment goal, first job satisfaction among groups by major selection motivation and regret of college graduates. For this study, '2013 Year Graduates Occupational Mobility Survey' of KEIS was examined by cross-tabulation analysis and one-way analysis of variance. The results were as follows: First, in the case of major selection by intrinsic motivation, less regrets were given than extrinsic motivation. Second, the biggest reason of regret was 'difficulty of unemployment' in case of intrinsic motivation and 'not fit in aptitude' in case of extrinsic motivation. Third, there were differences of college life, employment goal, first job satisfaction among four groups by major selection motivation and regret.

• Proceedings of the Korea Society of Mathematical Education Conference
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• 2010.04a
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• pp.217-217
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• 2010

다양한 선택이 가능한 대학 입시 선택 과정에서, 대학 및 학과별 선발 기준을 고려하여 최선의 선택을 해야 할 필요가 있다. 본 연구는 2010학년도 대학별, 학과별, 시기별 전형 기준을 근거로 이 과정을 수학적으로 모델링 한다. 그 예로 2010학년도 전형 기준을 수능 반영영역과 반영비율, 가중치 등을 고려하여 대학입시과정에서 활용될 수 있는 AHP를 통한 수학적 모델을 소개한다. 이 과정을 엑셀을 이용한 수학적 모델링으로 구현한다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.203-212
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• 2022

In this paper, we propose to identify the factors and satisfaction of the selection of University and departments of One university freshmen. Research subjects were 499 freshmen in 2021 at K University located in G city. The data were analyzed by descriptive statistics, t-test, ANOVA, Scheffe' test and pearson's correlation coefficient using SPSS WIN 18.0. The results of this study showed that the internet/SNS was the highest in university information media, the school teacher was the highest in information provider, and the employment rate had the most impact on university registration decision. The University satisfaction score was 3.43, and there was a significant difference in gender(t=5.527, p=.019) and admission type(F=5.527, p<.001). The department satisfaction was 3.86 and there was a significant difference in the admissions type(F=3.004, p=.018). Univdrsity satisfaction and Department satisfaction showed a significant positive correlation(r=5.527, p<.001). Universities should improve their competitiveness through systematic admission information system.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.518-524
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• 2021

The purpose of this study was to examine the correlation between academic achievement, major selection motivation, work value, and campus life adjustment of healthcare major college students. Data was collected using a structured questionnaire for 495 healthcare major college students at a four-year university located in G city. As a result of the study, Academic achievement was determined with positive correlation by major selection motivation (r=.446, p<.001), work values (r=.255, p<.001), campus life adjustment(r=.391, p<.001), Major selection motivation was positively correlated with work value (r=.354, p<.001) and campus life adjustment (r=.220, p<.001). The work value showed a positive correlation with the campus life adjustment(r=.193, p<.001). It is necessary to develop a career education program that reinforces college students' major selection motivation and their work values, and a student guidance program that improves their adaptation to college life.

• Communications for Statistical Applications and Methods
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• v.1 no.1
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• pp.215-225
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• 1994

1994년도부터 새로 실시된 대학입시 본고사를 위한 고려대학교 출제관리위원회의 활동을 통계적 측면에서 보고한다. 특히 모의고사의 문항분석과 선택과목 등화(표준점수제)에 관한 통계적 방법론을 중점적으로 다루고 그 성과에 대하여 논의한다. 이 실증적 사례 연구가 새로 대학입시 본고사를 실시하는 타 대학에 실질적 도움이 되기를 희망한다.

• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.457-465
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• 2012

The purpose of this study is to analyze the association between indicators and to find statistical models based on important indicators at 'College Notifier' in Korea Council for University Education. First, Pearson correlation coefficients are used to find statistically significant correlations. By variable selection method, the important indicators are selected and their coefficients are estimated. As variable selection method, backward and stepwise methods are employed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.39-40
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• 2019

본 논문에서는 연관규칙 마이닝 알고리즘인 Apriori 알고리즘을 기반으로 향상된 인공벌 군집 알고리즘(ABC algorihtm)을 적용하여 SDN 환경에서 분산된 컨트롤러를 선택하는 모델을 제안하였다. 이를 통해 자주 사용되는 컨트롤러를 우선적으로 선택함으로써 향상된 컨트롤러 선택을 목표로 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.261-270
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• 2016

This study attempted to survey nursing students' motives for choosing nursing as their major, and to examine how such motives affect their satisfaction with their major, campus-life satisfaction, and self-directed learning ability. This study was conducted as a descriptive survey. Data were collected using a self-report questionnaire during the period from the 1st to 15th of April, 2015, and the questionnaires from 195 nursing students were used in the analysis using Fisher's exact test, t-test, one way ANOVA, Mann Whitney test, and ANCOVA. Only 41.5% of the nursing students chose nursing as their major because of their aptitude and interest. The motive for the selection of the major was found to have a significant effect on their satisfaction with the major (p<.001), campus-life satisfaction (p=.008), and self-directed learning ability (p=.001). Middle and high school students should be provided with various types of information on nursing, so that they can have the opportunity to choose nursing based on their aptitude and interest before entering university. Once they start university, nursing students' adjustment to campus-life and learning ability should be enhanced through various extracurricular activity programs in order to stimulate their interest in the major.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.374-384
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• 2023

Universities that previously targeted in 20s have recently diversified their operation methods, founding purposes, and target. With a significant decrease in the school-age population relative to the number of universities, universities are making their best efforts to secure new students and minimize student attrition. In this study, an online survey was conducted to empirically examine the effects of motivation for major selection and sense of belonging on learning persistence intention among students in beauty-related departments at 2-year and 4-year general universities and cyber universities. The collected data from 119 students at general universities and 113 students at cyber universities were analyzed using SPSS 28. The key findings can be summarized as follows: For general universities, motivation for major selection did not have a significant effect on learning persistence intention, but sense of belonging had a significant positive effect. Additionally, an interaction effect was observed, indicating that as the sense of belonging increased, extrinsic motivation significantly increased learning persistence intention. For cyber universities, intrinsic motivation and sense of belonging among motivations for major selection had a significant positive effect on learning persistence intention, while the moderating effect of sense of belonging in the relationship between motivation for major selection and learning persistence intention was not significant. In summary, for general universities, the factor that influenced students' learning persistence intention was a sense of belonging to the university, while for cyber universities, intrinsic motivation played a significant role. These findings are expected to provide meaningful insights and data for universities to develop effective policies for preventing student attrition.