• Title/Summary/Keyword: 대학전공 선택

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The Effect of Female Faculties on Female Students' Employment (대학교수의 여성 비율이 여학생의 취업에 미치는 영향)

  • Ko, Eunbi;Kim, Jin Yeong;Song, Heonjae
    • Journal of Labour Economics
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    • v.43 no.1
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    • pp.93-114
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    • 2020
  • According to the role model effect, gender of faculty plays an important role in students' employment. This paper investigates the effect of female faculties on female college students' employment in Korea. The fixed effect estimation results show that the percentage of female faculty has no statistically significant effect on female students' employment rate, although the 1%p increase of female faculty appears to be related with the employment rate of female students by 0.102%p in estimation using pooled OLS estimation. We have the almost same results even with dividing female students by major fields. These results can be interpreted the students' employment rate may be influenced by many other factors, such as personal characteristics, abilities, and family background besides faculty gender. We find that there is no empirical evidence of statistically significant effect of the faculty gender on the employment rate of female students.

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Finding ouf the Culture of University life of Students Specialized in Golf (골프 종목 체육특기자 학생들의 대학생활 문화 알아보기)

  • Kim, Dong-kee
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.5
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    • pp.652-665
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    • 2022
  • This study attempted to illustrate in-depth light on the process of experiencing the campus life of university life of students specialized in golf who are forming new exercise culture in a transitional state students based on the grounded approach. For this, it selected 10 athletic students as research participants majoring in golf in A University in Chungcheong-do and collected data through in-depth interviews. As for the data analysis, the coding paradigm was composed to derive concepts and clarify the relations between concepts according to the grounded theoretical analysis suggested by Strauss and Corbin (1990), and the research results are as follows: First, 117 concepts, 16 subcategories, and 10 upper categories were deducted in the open coding. Second, the causal conditions were categorized into "University Life of Contactless Classes," contextual elements into "Practical Exercise," and "Participation in Classes," and the central phenomenon was regarded as the "Meaning of University Life as a University Athletic Student (golf)." As a result of reviewing the process of exercise and study at the same time, the conditions of arbitration were summarized as "Relation Formation" and "Ability Improvement," and the action/interaction strategies were categorized as "Academic Research" and "Negative Thinking," and at last, the results were composed of "Looking Back at the Past University Life," "Identity," and "Future Design." Based on these research results, the model of doing exercise and study at the same time of the university athletic students (golf) was categorized by the grounded theoretical paradigm procedure, and the university athletic students (golf) continued their university life without rest as their exercise life was influenced positively by academic life, and in addition, policy implications for enhancing the competency of student athletes who can encompass both exercise and study were presented.

Methodological Triangulation Method to Evaluate Adjustment to College Life in Associate Nursing College Students (일 지역 3년제 간호대학생의 대학생활 적응: 방법론적 트라이앵귤레이션 적용)

  • Choi, Jihea;Park, Mi-Jeong
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.339-349
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    • 2013
  • This is a methodological triangulation study to investigate of adjustment to college life in associate nursing college students. Participants were 139 associate nursing students. Data were collected from September 15 to November 17, 2012. Quantitative data were analyzed using PASW 20.0. Qualitative data were analyzed using open coding and categorization. Mean value for adjustment to college life was 2.96. It was significantly different according to nursing major (F=6.23, p=.003), study loading (F=4.47, p=.013), and perceived learning achievement (F=6.87, p=.001). 'Burden on study loading', 'Burden on job finding', 'Securing diverse support', 'Diverse extra-curricular', and 'Qualified practicum education' were extracted from the qualitative data. Results suggest diverse program development to decrease study loading, increase chances to connect with supporters, provide various extra-curricular activities and guarantee qualified practicum education are important in associate nursing college students' adaptation to college life.

산업간호교육에 관한 실태조사 - 기본 간호교육을 중심으로 -

  • Kim, Hwa-Jung;Jeon, Gyeong-Ja;Go, Bong-Ryeon
    • Korean Journal of Occupational Health Nursing
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    • v.1
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    • pp.5-16
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    • 1991
  • 본 연구는 산업간호사의 역할 확대에 따른 교육과정의 개선 및 보수교육 프로그램의 모색을 위한 기초자료로서 기본간호교육과정에서의 산업 간호교육 실태를 파악하고자 시도되었다. 구체적으로는 첫째, 기본간호교육과정의 일반적 특성을 파악하였으며 둘째, 지역사회간호학의 학습내용을 파악하였고, 세째, 산업 간호교육실태를 분석하였다. 연구방법은 먼저 1991년 2월 18일 부터 2월 25일까지 기존 문헌을 토대로 기본 간호교육과정의 일반적 특성과 지역사회간호학의 학습내용을 파악하였고, 산업 간호교육 실태에 대해서는 2월 26일부터 3월 15일까지 전국에 있는 간호교육기관을 대상으로 작성된 조사표에 의해 전화 또는 서신으로 자료를 수집하였다. 조사 결과는 다음과 같다. 1) 연구의 대상 산업간호교육 실태조사의 대상은 조사에 응답한 간호교육기관 41개교로서 '90년 현재 전국 간호교육기관의 66.1%를 차지하는 것이다. 교육과정별로는 간호대학 14개교 전문대학 27개교였고, 지역별 분포에 있어서는 대학과정 중 6개교(42.9%)가 서울에 있으며 전문대학의 경우 전남 6개교(22.2%), 경북 5개교(18.5%)의 순으로 나타났다. 2) 간호교육과정의 특성 기존의 연구결과를 토대로 교과목 분포 및 주전공 교과목의 내용을 파악하였다. 대학과정의 경우 평균 141.3학점, 전문대학의 경우 평균 120학점이 필수 이수 학점인 것으로 나타났고, 두 경우 모두 전공교육에 관한 학점이 총 이수학점 중 대학 55.5%, 전문대 57.2%를 차지하였다. 주전공 교과목 중에서는 성인간호학 및 실습, 기초간호과학 및 실험, 모아간호 및 실습, 지역사회간호학 및 실습, 정신간호 및 실습의 배당 학점이 특히 많았다. 3) 지역사회간호학의 학습내용 산업간호 교육의 기본 개념틀올 제시하고 있는 지역사회간호학은 체계이론과 Stevens의 간호이론을 토대로 개발된 모형을 중심으로 살펴 보았는데 이 모형에 따르면 산업간호는 지역사회간호 문제의 하나로 다뤄지고 있다. 4) 산업간호 교육 실태 조사 대상 학교 모두 산업간호에 관한 내용을 강의에서 다루고 있었으며, 6개 학교에서는 실습도 병행된 바 있다. 강의는 주로 전문대의 경우 3학년(22개교), 2학년(5개교)에서, 대학의 경우 모두 4학년에서 이루어졌다. 산업간호 강의의 편성형태는 36개교(87.8%)가 지역사회간호의 일부로 다루고 있었으며, 강의시간수는 5~9시간이 19개교(47.5%)로 가장 많았다. 강의시간에 주로 사용되는 교재로는 교수가 직접 작성한 참고자료나 보건학강좌, 산업보건학 등이 사용되었다. 강의내용 또한 매우 다양한 것으로 나타났는데, 특히 전문대학의 경우가 더욱 다양했으며, 전반적으로는 산업간호사업, 산업간호개념, 직업병관리가 가장 많았다. 한편 실습운영에 있어서는 산업체의 비협조 또는 거리상의 문제 등이 어려운 점으로 지적되었다. 실습대상인 업체로는 종이제조업, 제철업, 신발제조업, 전자업체, 봉제업체, 관공서, 유리제조업체가 있었고, 주로 1주일간 실습지침서를 이용한 현지 교수 중심의 지도와 1,2회의 conference에 의해 이루어졌다. 그러나, 1일 견학하는 정도로 운영하는 학교와 선택 학점으로서 3주동안 실습을 하도록 하는 경우도 있었다. 이상의 결과를 바탕으로 다음과 같은 결론을 내릴 수 있겠다. 첫째, 전반적인 전공교육과 특히 지역사회간호학을 통해서 산업간호사의 업무 수행에 필요한 일반적인 능력이 길러지고 있다고 볼 수 있다. 둘째, 산업간호사의 업무 중 보다 전문적인 지식과 기술을 요하는 부분에 대해서는 산업간호라는 교과를 통해 보다 체계적으로 다루어져야 할 것이다. 따라서, 이에 사용될 수 있는 교과서의 개발, 실습현장의 마련, 시간 및 학점의 증가 등이 시급히 이루어져야 하겠다.

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An Analysis of Expected Earnings Differentials by Major of University Graduates (대학 이상 졸업자의 계열별 기대소득 격차에 대한 분석)

  • Choi, Youngsup
    • Journal of Labour Economics
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    • v.26 no.2
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    • pp.97-127
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    • 2003
  • The purpose of this paper is to analyze the expected earnings differentials by major of university graduates. Usually the achievement in labor market has been measured by the earnings of those being with job. But such simple comparisons of earnings might fail to bring out correct evaluation once if the probabilities of getting a job are quite different across the major of university graduates. So it is necessary to compare the expected lifetime eatings which can be computed using the earnings of those with job and the probabilities of taking a job. In this paper, we showed that the expected earings of university graduates are quite different by major and not only the difference of earnings but also the difference of job-taking probabilities are considerably contributing such differentials. Especially the expected earnings of medicine and education are considerably higher than those of other majors. These results are maintained almost identically with the change of estimation methods. But despite of these findings. it should be admitted that it was not possible to exactly measure the magnitude of differentials by major.

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Data-centric XAI-driven Data Imputation of Molecular Structure and QSAR Model for Toxicity Prediction of 3D Printing Chemicals (3D 프린팅 소재 화학물질의 독성 예측을 위한 Data-centric XAI 기반 분자 구조 Data Imputation과 QSAR 모델 개발)

  • ChanHyeok Jeong;SangYoun Kim;SungKu Heo;Shahzeb Tariq;MinHyeok Shin;ChangKyoo Yoo
    • Korean Chemical Engineering Research
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    • v.61 no.4
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    • pp.523-541
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    • 2023
  • As accessibility to 3D printers increases, there is a growing frequency of exposure to chemicals associated with 3D printing. However, research on the toxicity and harmfulness of chemicals generated by 3D printing is insufficient, and the performance of toxicity prediction using in silico techniques is limited due to missing molecular structure data. In this study, quantitative structure-activity relationship (QSAR) model based on data-centric AI approach was developed to predict the toxicity of new 3D printing materials by imputing missing values in molecular descriptors. First, MissForest algorithm was utilized to impute missing values in molecular descriptors of hazardous 3D printing materials. Then, based on four different machine learning models (decision tree, random forest, XGBoost, SVM), a machine learning (ML)-based QSAR model was developed to predict the bioconcentration factor (Log BCF), octanol-air partition coefficient (Log Koa), and partition coefficient (Log P). Furthermore, the reliability of the data-centric QSAR model was validated through the Tree-SHAP (SHapley Additive exPlanations) method, which is one of explainable artificial intelligence (XAI) techniques. The proposed imputation method based on the MissForest enlarged approximately 2.5 times more molecular structure data compared to the existing data. Based on the imputed dataset of molecular descriptor, the developed data-centric QSAR model achieved approximately 73%, 76% and 92% of prediction performance for Log BCF, Log Koa, and Log P, respectively. Lastly, Tree-SHAP analysis demonstrated that the data-centric-based QSAR model achieved high prediction performance for toxicity information by identifying key molecular descriptors highly correlated with toxicity indices. Therefore, the proposed QSAR model based on the data-centric XAI approach can be extended to predict the toxicity of potential pollutants in emerging printing chemicals, chemical process, semiconductor or display process.

A Study on the Learning Method of 21C University Education Paradigm (21C 대학교육패러다임의 학습방법에 관한 연구)

  • Park, Chun-Myoung
    • The Journal of Korean Institute for Practical Engineering Education
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    • v.4 no.2
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    • pp.60-66
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    • 2012
  • This paper present a learning method of 21C university education paradigm after survey the earlier several effective learning methods after we survey the earlier several researches which is researched until latest. For the purpose of that, we discuss the goal of learning, and effective time management and learning preparation. In general, many students spent valueless time without self-driving learning method during their student's period. But when they are higher grade, they know the important of self-driving learning method. The proposed learning method is the more efficiency in case of using selective of mentioned several efficient learning method according to student's quality and given lecture class configuration.

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Realization of VR-linked "Wearing a Mask" SW training to recognize the effect of wearing a mask due to the spread of new infectious diseases (신종 감염병 확산에 따른 마스크 착용효과 인지를 위한 VR연동 "Wearing a Mask" SW교육 제안)

  • Seo, Hee-Cheol;Park, Yu-Min;Cho, Young-Ju
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.625-628
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    • 2020
  • 현재 지구촌은 신종 감염병인 '코로나바이러스 감염증-19(COVID-19)로 인해 혼란을 겪고 있다. 우리나라의 경우 1만 명 이상 감염자가 발생하였으며, 사망자 역시 200여 명이 넘었다. 하지만 위와 같은 감염병을 치료하기 위한 백신은 계속 개발중에 있으며, 현재는 감염 예방 수칙으로 감염의 위험성에서 벗어나고 있는 실정이다. 또, 지구촌에 큰 혼란을 주었던 사스, 신종플루, 메르스와 같이 주로 호흡기를 통해 타인에게 전파되는 신종 감염병 출현 빈도 역시 계속 증가하고 있다. 이외에는 황사, 미세먼지에 관한 문제들로 인해 일상속에서 이뤄지는 생활 방역의 중요성이 대두되고 있는 상황이다. 본 논문에서는 생활 방역의 대표적 수칙인 마스크 착용에서 상황별 올바른 마스크 선택의 중요성을 알려주어 시민의식을 높일 수 있는 VR 연동 'Wearing a Mask' 구현에 대해 제안하고자 한다.

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Recommendation System of University Major Subject based on Deep Reinforcement Learning (심층 강화학습 기반의 대학 전공과목 추천 시스템)

  • Ducsun Lim;Youn-A Min;Dongkyun Lim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.9-15
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    • 2023
  • Existing simple statistics-based recommendation systems rely solely on students' course enrollment history data, making it difficult to identify classes that match students' preferences. To address this issue, this study proposes a personalized major subject recommendation system based on deep reinforcement learning (DRL). This system gauges the similarity between students based on structured data, such as the student's department, grade level, and course history. Based on this information, it recommends the most suitable major subjects by comprehensively considering information about each available major subject and evaluations of the student's courses. We confirmed that this DRL-based recommendation system provides useful insights for university students while selecting their major subjects, and our simulation results indicate that it outperforms conventional statistics-based recommendation systems by approximately 20%. In light of these results, we propose a new system that offers personalized subject recommendations by incorporating students' course evaluations. This system is expected to assist students significantly in finding major subjects that align with their preferences and academic goals.

A Study on the Students' Characteristics of Ophthalmic Optics under Bachelor's Degree Course in Academic Credit Bank System - Focus on the Educational Institutions in Gyeonggi Region - (학점은행제 학사학위과정 안경광학전공 학습자의 특성에 관한 연구 - 경기지역 교육기관을 중심으로 -)

  • Jung, Se-Hoon;Park, Hee-Kyoung;Lee, Ok-Jin
    • Journal of Korean Ophthalmic Optics Society
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    • v.19 no.4
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    • pp.445-455
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    • 2014
  • Purpose: By investigating the characteristics of the students ophthalmic optics under bachelor's degree course in academic credit bank system, this study aimed to utilize this survey as a basic material for the operation and the improvement of academic credit bank system as the continued education for opticians. Methods: A questionnaire survey for the characteristics of the students was conducted on 98 bachelors who registered in the academic credit bank system and an analysis was made out of the result. Results: As the purpose of selecting the academic credit bank system, acquisition of bachelor's degree took the major portion (51.0%); for information route, school or superior at work took the major portion (33.7%); and for educational institution, alma mater took the major portion (31.6%). Family cooperation (72.4%) to the students in the academic credit bank system was higher than workplace cooperation (46.9%) or social cooperation (39.8%). For the time required for the bachelor's degree course in the academic credit bank system, 2 semesters (55.6%) took the major portion, and 38.9% for entering graduate school and 5.6% for university transfer. The result showed a significant difference in the information route for the academic credit bank system (p<.05), selection criteria for educational institution (p<.05) and workplace cooperation (p<.01) depending on the age. It showed a significant difference in the selection purpose for the academic credit bank system (p<.01), average attendance day (p<.05), workplace cooperation (p<.01) and difficulties (p<.01) depending on working place. It showed a significant difference in the selection criteria for educational institution (p<.01) and family cooperation (p<.05) depending on the academic system of their alma mater. It showed a significant difference in the information route (p<.05), the selection criteria for educational institution (p<.01) and workplace cooperation (p<.05). Conclusions: It is necessary for optometrists to study and pay more attention to continuing education, and the operation and support for the academic credit bank system should be made in consideration of the characteristics of students.