• Title/Summary/Keyword: 직업전문학교

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Multidimensional Effects of Learning Motives and Autonomy on Job Creativity and School Satisfaction of Vocational College Students (직업전문학교 재학생의 학습동기와 학습 자율성이 직무창의성과 만족도에 미치는 복합적 영향)

  • Lee, Chull-Young;Lee, So-Young
    • Journal of Digital Convergence
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    • v.15 no.3
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    • pp.99-106
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    • 2017
  • The purpose of the study is to explore the relationship among learning motive, job creativity, major satisfaction and school satisfaction of enrolled students in 2 vocational schools in Seoul. Hypotheses based on the relevant literature are tested. Job creativity was found to be positively influenced by learning motives and autonomy. Intrinsic learning motive and autonomy affect student's major satisfaction, but extrinsic learning motive was found to have negative effects on major satisfaction as autonomy trait was irrelevant to school satisfaction. Vocational college programs offer mainly technical and on-the-job training unlike general colleges. Thus, students are psychologically sensitive to school programs and multidisciplinary approach is needed.

A Detection of Behavior and Emotion for Companion animal using AI (AI 기법을 이용한 반려동물의 행동 및 감정 탐지)

  • Lee, Jeong-Woo;Lee, Ha-Rang;Shin, Dong-Jin;Weon, IL-Yong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.580-582
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    • 2022
  • 본 본문은 영상을 통해 반려동물의 행동과 감정을 인식하는 연구이다. 이러한 연구는 반려동물과 인간의 삶을 향상시키는데 도움을 줄 수 있다. 제안된 시스템의 유용성은 실험을 통해 검증하였고, 어느 정도 의미 있는 결과를 얻을 수 있었다.

Efficient Multi-Disease Diagnosis in AI Medical Imaging Through Minimal Preprocessing Without Segmentation Labeling (세그멘테이션 라벨링 없는 최소 전처리를 통한 AI 의료 영상에서의 다 질병 진단 효율화)

  • Dong-Jun Seo;Seung-Chan Lee;Yoon-Jung Heo;Il-Yong Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.424-425
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    • 2023
  • AI 의료 영상 분석 기술은 의료 분야의 인력 부족 문제를 해결하는 방법으로 주목받고 있다. 이전 연구들은 세그멘테이션 라벨링과 질병 유무를 결합하여 판단하는데, 이 방법은 큰 비용과 시간이 소요된다. 본 논문은 의료 전문가의 세그멘테이션 라벨링 없이 병명 라벨만의 학습으로 질병을 어느 정도 진단할 수 있음을 보인다. 실험에 따르면 의미있는 결과를 확인할 수 있었다.

Mediating Effect between Self-Determination and Career Preparation Behavior of Students at Vocational Training School : focusing on Commitment to Career Choice (직업전문학교 학생들의 자기결정성과 진로준비행동에 관한 매개효과: 진로결정몰입 중심으로)

  • Lee, SooKyoung;Kim, YounSung
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.1
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    • pp.125-144
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    • 2019
  • The purpose of this research is to provide implication for the preparation of the specific and practical strategy through an analysis of whether commitment to career choice (vocational exploration commitment and tendency to foreclose) acts as a mediating effect between self-determination (autonomy, competence, and relatedness) and career preparation behavior. Data was collected from 258 students at a vocational training school in Seoul, and was analyzed hierarchical regression analysis. The result shows that commitment to career choice has partial mediating effect on the relationship between self-determination and career preparation behavior. Secondly, self-determination effects on career preparation behavior and among them, the effect of relatedness is predominant. The result of this study suggest practical insights about how a vocational training school can motivate students to participate in self-determination and commitment to career choice for improved educational environment with related career preparation programs.

Development and Application of Career Education App for Elementary School Students (초등학생 진로교육을 위한 교육용 어플리케이션 개발 및 적용)

  • Kim, Hwee;Chun, Seok-Ju
    • Journal of The Korean Association of Information Education
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    • v.23 no.3
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    • pp.265-272
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    • 2019
  • In the past society, it was possible for parents to provide career guidance at home and career education without professional education courses and knowledge about career education at school since the simple job and the slow pace of social change. However, in modern society, the profession itself becomes complicated, and professional functions and knowledge are required in the profession, and the job world is changed and also a lot of jobs will disappear. This change has made it difficult to establish the value of work and then career education has become very important and urgent. In this paper we develop a career education app for elementary school students and then examine the pedagogical effect of career education app on career education. We applied our proposed course to an elementary school in Seoul. In the course, totally eight hours of classes were offered to the 5-6th graders of an elementary class. As a result, students who took part in the class have a better understanding of the job and also the satisfaction level of the course was also very high.

The Effect of Job Training Satisfaction on Career Attitude Maturity in Vocational College Youth: Mediating Effects of Career Decision-Making Self-Efficacy (직업전문학교 청소년의 직업훈련만족도가 진로태도성숙에 미치는 영향: 진로결정자기효능감의 매개효과)

  • Cho, Chang-Ho
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.15-21
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    • 2021
  • This study is to examine whether the satisfaction of youths in job training is effective in career attitude maturity mediated with career decision-making self-efficacy, The subjects of this study were 386 students who were sampled from four vocational schools in Seoul and SPSS 21.0 was used for statistical process. The results of this study are as follows: First, job training satisfaction showed a positive correlation with career attitude maturity. Second, career decision-making self-efficacy showed a positive correlation with career attitude maturity. Third, in the relationship between job training satisfaction and career attitude maturity of youths, the mediating effect of career decision-making self-efficacy had a statistically significant positive effect and had a partial mediating effect, Therefore, it is suggested that the higher the satisfaction of vocational training in vocational schools, the higher the career decision-making self-efficacy and also the higher the career decision-making self-efficacy, the higher the career attitude maturity.

Deep Learning-Based Fall Detection Algorithm for Elderly Utilizing Vector Property (벡터의 성질을 활용한 딥러닝 기반 노인 낙상 감지 알고리즘)

  • Chang-Wook Moon;Jae-Wook Lee;Il-Yong Won;Hyun-Jung Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.422-423
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    • 2023
  • 고령화 사회로 인한 노인의 건강과 안전에 대한 관심이 증가함에 따라 낙상 문제는 더욱 중요해졌다. 기존 연구들은 영상에서 인체의 관절위치를 측정하고 이것만을 활용하여 낙상을 감지했지만, 본 논문에서는 방향과 속력 정보를 추가하여 탐지 능력을 향상시켰다. 실험결과 기존 방식에 비해 향상된 성능을 관찰할 수 있었다.