• Title/Summary/Keyword: Non-Majors

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Research about Image Evaluations from Jeans' Finishing -Focus on Undergraduate Students in Los Angeles of the USA- (진즈[Jeans]의 가공[Finishing]에 따른 이미지 평가 연구 -미국 L. A. 거주 대학생을 중심으로-)

  • Lee, Mi-Yeon
    • Journal of the Korean Society of Costume
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    • v.56 no.7 s.107
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    • pp.18-32
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    • 2006
  • The objectives of this research were to identify the differences of image evaluations by perceiver's gender, majors and jeans' finishing and to examine image characteristics that have an influence on attractiveness and preferences of jeans' finishing. The subjects are 96 undergraduate students in Los Angeles of the USA. Elegant and refined images had a significant effort on perceiver's gender, so men tended to highly evaluate jeans as elegant and refined images than did women. Soft images were recognized differently by perceiver's major, so non-specialists in design tended to highly evaluate jeans as soft images than did specialists in design. In finishing, shattered wash was evaluated as the most individual, attractive, energetic, and splendid images, and stone wash was evaluated as the most ordinary, unattractive, and plain images. Light images tended to have interaction effects by majors and finishing. Specialists in design did not perceive differences between light images from finishing well, but non-specialists in design perceived that stone wash finishing's image is lighter than indigo blue finishing's image. Sociable images had interaction effects by perceiver's gender, majors and jeans' finishing, and especially non-specialists in men estimated that shattered wash has the lowest sociable images in finishing. According to evaluations about finishing images of ladies' jeans, men tended to be attracted by splendid images, and women tended to be attracted by sexy images. In addition, both men and women were commonly attracted by feminine images, so the study found that feminine images is important image for developing jeans for ladies. According to evaluations about finishing images of ladies' jeans, men preferred sexy and natural images to comfortable and energetic images, and women preferred sexy and neat images. Female undergraduate students of the USA tended to be attracted by sexy images, and we found that actually they consider buying jeans with such images.

What is Perceived the Image of Nurses?: Comparison Major and Non-Major Students (간호사 이미지 지각은 어떠한가?: 전공학생과 비전공 학생비교)

  • Yu, Seung-Yeob
    • Journal of Digital Convergence
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    • v.12 no.10
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    • pp.353-361
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    • 2014
  • This study was confirmed nurse's traditional, social, professional and personal image of the dimensional perception of the difference between the majors and non-majors students exist? and Reflected on the role of the media image of nurses are there differences in perception? and Nurses and nurse related information, and information on contacting the media and contacted the media image of the existing research results and is there a difference? For the purpose, we survey the nursing majors and non-majors students. The results follows. First, the traditional nurses, social, professional and personal image perception gap is high. Second, the media reflected the image of the nurse in charge of the secondary role of a doctor about the image is high. Third, the nurse contacted the media about the TV is very high. The results of this study have implications to enable communication between patients and nurses agree that will provide evidence. In particular, the nurses through the use of media(PPL and Publicity strategy) suggest ways to improve the image.

Guided Instruction of Introducing Computational Thinking to Non-Computer Science Education Major Pre-Service Teachers

  • Song, Ki-Sang
    • International journal of advanced smart convergence
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    • v.6 no.2
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    • pp.24-33
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    • 2017
  • Since 'teaching coding' or 'programming' classes for computational thinking (CT) education in K-12 are renowned around the world, a pre-service teachers' readiness for integrating CT into their teaching subjects is important due to the fact that CT is considered to be another 'R' from algoRitm for 21st century literacy, in addition to the traditional 3R (Reading, Writhing, and Arithmetic) [2] and CT roles to other disciplines. With this rationale, we designed a guided instruction based CT course for pre-service teachers. We show the effectiveness of the program with respect to the teachers' attitude toward combining CT into their teaching subjects, and mindset changes of learning computing connected with the career development of the teacher themselves. The research focused on the instructional methodology of teaching programing for non-Computer Science Education (CSE) majors who are not familiar with computer science for alleviating the cognitive load of first exposure to programming course under the CT concepts.

Effectiveness analysis based on PJBL of Liberal Arts Computing (PJBL기반의 교양컴퓨터 수업의 효과성 분석)

  • Jin-Ah, Yoo
    • Journal of Integrative Natural Science
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    • v.15 no.4
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    • pp.163-169
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    • 2022
  • Currently, many universities are implementing software-oriented universities and artificial intelligence-oriented universities to foster software-oriented manpower. We are educating students to design and produce computational thinking and coding directly with their major knowledge. However, computer education is not easy for non-majors, and there are many difficulties in coding. The results of responses from 104 students from the College of Health Sciences and College of Social Management who took the liberal arts computer at University H were analyzed using SPSS 26.0 version. In the liberal arts computer class for non-majors, a PJBL-based class plan was proposed. The effectiveness of PJBL-based classes was confirmed through a questionnaire for the improvement of artificial intelligence liberal arts courses. As a result, PJBL-based education showed statistically significant results in terms of satisfaction, effectiveness, and self-efficiency of classes regardless of major.

Methodology: Non-face-to-face teaching for formative art courses of the design majors (디자인 전공자의 조형 교과목 비대면 수업방법론)

  • Chang, Chin-hee
    • Journal of the Korea Convergence Society
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    • v.12 no.1
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    • pp.219-223
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    • 2021
  • This study aims to present a non-face-to-face teaching methodology for the theory and practical lessons of design majors, especially for the arts and sports field. It was conducted to improve the existing teaching models after the non-face-to-face online lectures which began with COVID-19. Various existing smart learning methods such as online classes, interactive classes, and flip learning were reviewed, and a method to efficiently manage practical skills by supplementing the shortcomings of each study was suggested. 4 stages of teaching development - setting a teaching method, teaching progress, evaluation, and follow-up management-were designated and applied to the class of design majors. The result showed that it is effective in terms of teaching method and progress; however, the limitations of non-face-to-face classes were found in the stages of evaluation and follow-up management. Therefore, it is expected that further research on evaluation and follow-up management, such as specific practical instruction methods is required to improve completion.

A Machine Learning Model Learning and Utilization Education Curriculum for Non-majors (비전공자 대상 머신러닝 모델 학습 및 활용교육 커리큘럼)

  • Kyeong Hur
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.31-38
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    • 2023
  • In this paper, a basic machine learning model learning and utilization education curriculum for non-majors is proposed, and an education method using Orange machine learning model learning and analysis tools is proposed. Orange is an open-source machine learning and data visualization tool that can create machine learning models by learning data using visual widgets without complex programming. Orange is a platform that is widely used by non-major undergraduates to expert groups. In this paper, a basic machine learning model learning and utilization education curriculum and weekly practice contents for one semester are proposed. In addition, in order to demonstrate the reality of practice contents for machine learning model learning and utilization, we used the Orange tool to learn machine learning models from categorical data samples and numerical data samples, and utilized the models. Thus, use cases for predicting the outcome of the population were proposed. Finally, the educational satisfaction of this curriculum is surveyed and analyzed for non-majors.

A Study on Skin Health Knowledge and Treatment -The case of female college students major and non-major in skin care- (피부건강에 대한 인식과 관리에 관한 연구 -피부미용 전공과 비전공 여대생을 중심으로-)

  • Choi, Sung-Im;Kwon, Young-Nang;Lee, Geai-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.7
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    • pp.2886-2894
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    • 2012
  • This study is intended to research female university students' concern with beauty care, their skin condition, knowledge and treatment comparing the majors with the non-majors in Seoul. This comparative study between them focused on their educational and behavioral differences in beauty care in the same living space, and the results were as follows: The majors' average point on the concern with skin health care was higher than the non-majors(p<.01). There were more combination skin type in the major group, and more dry skin type in the non-major group. Also, there were meaningful differences among the two groups in frequency of double cleansing after makeup, exfoliating, massaging or applying mask packs, using sunscreen(p<.01, p<.001, p<.01, p<.01). Further, intake rates of instant food and moisture were meaningfully different between them(p<.001, p<.05). In addition, the majors more tended to purchase cosmetics efficiently through lots of channels, and showed more active attitude to buy high-price cosmetics with outstanding properties although they have financial burden(p<.001). It was hoped that the results of this study would be used in skin care industry and education area in the future.

A Study on the Software Convergence Education for Non-Majors Computer Science using Creative Robot (창작로봇을 이용한 비전공자의 소프트웨어 융합 교육에 관한 연구)

  • Ku, Jin-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.631-638
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    • 2017
  • In the age of the Fourth Industrial Revolution, lifestyle and industrial structures are faced with evolution from IT-based automation to the intelligent stage, demanding talents with software capabilities in various fields. Reflecting these demands, the government has enhanced basic software education for non-majors in elementary and secondary schools as well as universities. In this study, the software convergence education of Non-Majors is proposed to improve the general problem solving ability based on computational thinking and the software convergence ability in the field of their own by developing robot activity. The subjects of this study were 91 students, who were composed of various majors. The class was designed with computing thinking, convergence elements, and creative robot activity. The study was conducted for 13 weeks. To examine the effects of software convergence education through the creative robot activity, this study observed changes in the students' learning outcomes, satisfaction with creative robot activities, and perceptions of other disciplines after class based on pre-diagnosis surveys. The survey asked 12 questions including an understanding of the learning contents, overall satisfaction with multidisciplinary collaborative learning, understanding of other disciplines, and self-evaluation of problem solving ability through creative robot activities, which were compared with that before the class. They answered that their ability was improved.

Correlation between Application Rates for Specialized Majors and Physician Income and Non-Benefit Percentage (전문과별 전공의 지원율과 의사소득, 비급여율 간의 상관관계)

  • Young-kyoon Na;Eunyoung Chung
    • Korea Journal of Hospital Management
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    • v.29 no.1
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    • pp.56-63
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    • 2024
  • Purposes: This study aims to analyze the correlation with the current status of the medical resident application rate, physician's income, and non-benefit rates of majors in each specialty subject and to suggest implications. Methodology: First, it analyzes the correlation between the medical resident application rate by specialty subject and the income of physicians. Second, it analyzes the correlation between the income of specialists and the non-benefit rate for each specialty subject at the clinic level. Findings: First, a significant positive correlation was found between the medical resident application rate and the average physician's income for each specialty subject (r=.718, p<.01). Second, a significant positive correlation was observed between physician income at the practitioner level by medical specialty and the non-benefit rate (r=.726, p<.01). Practical Implications: In this study, the correlation between medical resident application rate by specialty subject and physician's income, non-payment and physician's income was confirmed. Choosing a department that is less risky and can earn higher income is a natural phenomenon, but it is necessary to adjust the physicians crowding phenomenon to a specific specialty subject at the government level to maintain the medical system.

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Intake of Traditional Beverages in Female University Students (여대생들의 전통음료 섭취 실태에 관한 연구)

  • Kwon, Soon-Hyung
    • Journal of the East Asian Society of Dietary Life
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    • v.22 no.5
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    • pp.567-575
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    • 2012
  • This study was conducted to investigate the actual conditions of intake of Korean traditional beverages in 273 female university students in Seoul, Korea. The subjects of this study consisted of 128 food and nutrition majors and 145 non-majors. Questionnaires were administered to the subjects who had an average age of 20 years. Two-hundred and nineteen students (80.2%) lived with their parents. Regarding the type of beverages subjects often drink, coffee was the most preferred (51.3%) overall, and non-majors (4.1%) were shown to drink traditional beverages more often. Regarding preference for traditional beverages, most subjects (72.5%) responded that they liked their own traditional beverage. However, for frequency of intake of traditional beverages, 48.7% answered they do not drink any traditional beverages. The reasons why subjects like traditional beverages were taste (71.7%) and health (26.3%), and the type of traditional beverages they often drink were Yulmu tea (35.9%), Sik hae (30.8%), and Yuja tea (10.6%), in order. Regardless of major, ginseng tea, jujube tea, mulberry-leaf tea, Chinese matrimony vine tea, ssanghwa tea, ginger tea, and omija tea were found to be satisfactory traditional beverages. Therefore, due to the low intake frequency, preference, and satisfaction of traditional beverages, new traditional beverages that can meet the standards of female students should be immediately developed.