• Title/Summary/Keyword: non-major students

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Relationships between Nutrient Intake Status and Sugar-containing Food Intake of Elementary School Students in Daegu-Kyungbook Area (대구경북지역 초등학생들의 영양소 섭취상태와 가당식품 섭취와의 관련성)

  • Kim, Hyeon-Jung;Oh, Hyun-Mee;Cho, Young-Ji;Yoon, Jin-Sook
    • Korean Journal of Community Nutrition
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    • v.15 no.5
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    • pp.573-581
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    • 2010
  • This study was conducted to investigate the association of nutrients intake with sugar-containing food consumption of elementary school students in Daegu-Kyungpook area. We analyzed the dietary information from 164 elementary school students (82 boys, 82 girls) participated in "Dietary Intake Survey of Infants, Children and Adolescents" conducted by Korea Food & Drug Administration and Korea Health Industry Development Institute. Information on habitual dietary intake of sugar-containing foods was collected by food frequency questionnaires. Daily nutrients intake of each subject was calculated from 24-hour recall data for two non-consecutive days. As a result of average daily intake of major foods of elementary school students was analyzed from 1 to 50 ranking that show up higher ranking of white milk and white rice but include many kind of sugar-containing food. Dietary intake of energy, carbohydrate, Ca, P, Fe and riboflavin were significantly lower for girls with higher sugar-containing food frequency scores. Significantly negative associations between Index of Nutrition Quality (INQ) and sugar-containing food frequency scores were observed for calcium (r = -0.34) and iron (r = -0.32) among girls. Mean Adequacy Ratio (MAR) was significantly lower for girls with higher sugar-containing food frequency scores (r = -0.26). Our results indicated that nutrition education for elementary school students should focus on the importance of reducing the sugarcontaining food consumption with more attention for girls.

Academic Stress, Self-directed Learning Ability, Learning Satisfaction of Nursing Students Exposed to Blended Learning (블렌디드 러닝을 경험한 간호대학생의 학업스트레스, 자기주도적 학습능력 및 학습만족도)

  • Park, Eui-Jeung;Jeong, Gyeong-Sun
    • Journal of The Korean Society of Integrative Medicine
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    • v.10 no.2
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    • pp.145-153
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    • 2022
  • Purpose : This study aimed to investigate the effects of blended learning on learning satisfaction in nursing students. Methods : This study was conducted with 160 current nursing students in the department of nursing at K university located in city B. All students included in the study understood the purpose of the study and provided informed consent to participate. Data were collected between May 3 and July 9, 2021 and analyzed using SPSS/WIN 22.0. The frequency, percentage, mean, and standard deviation were created, and t-test, ANOVA, and Scheffé test for post hoc analysis were performed. Correlations were analyzed using Pearson's correlation coefficient. The factors influencing learning satisfaction were analyzed using multiple regression. Results : Significant differences were observed for academic stress according to the online classes environmental satisfaction (F=4.10, p=.001), online classes experience (t=4.11, p=.001) and self-directed learning ability according to the grade (F=4.10, p=.001), online classes environmental satisfaction (t=4.11, p=.001). The academic stress of nursing students who experienced blended learning was significantly negatively correlated with self-directed learning ability (r=-.480, p<.001), and learning satisfaction (r=-.236, p<.001). self-directed learning ability showed a significant positive correlation with learning satisfaction (r=.524, p<.001). The regression model for the factors affecting the learning satisfaction of the subjects was statistically significant (F= 3.027, p<.001). The major influential factors of learning satisfaction were grade (𝛽=.154, p=.013), satisfaction with school life (𝛽=.168, p=.032), and satisfaction with non-contact learning environment (𝛽=-.141, p=.028). The explanatory power was 28 %. Conclusion : These results indicate that it is necessary to reduce academic stress and increase self-directed learning ability to enhance learning satisfaction in nursing students through blended learning. In addition, the development and operation of a tailored intervention program is required to help improve learning satisfaction.

A Text Mining Analysis on Students' Perceptions about Capstone Design: Case of Industrial & Management Engineering (텍스트 마이닝을 활용한 캡스톤 디자인에 관한 학생 인식 탐색: 산업경영공학 사례)

  • Wi, Gwang-Ho;Kim, Yun-jin;Kim, Moon-Soo
    • Journal of Engineering Education Research
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    • v.25 no.5
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    • pp.85-93
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    • 2022
  • Capstone Design, a project-based learning technique, is the most important curriculum that clarifying major knowledge and cultivating the ability to apply through the process of solving problems in the industrial field centered on the student project team. Accordingly, various and extensive studies are being conducted for the successful implementation of capstone design courses. Unlike previous studies, this study aimed to quantitatively analyze the opinions that recorded the experiences and feelings of students who performed capstone design, and used text mining methodologies such as frequency analysis, correlation analysis, topic modeling, and sentiment analysis. As a result of examining the overall opinions of the latter period through frequency analysis and correlation analysis, there was a difference between the languages used by the students in the opinions according to gender and project results. Through topic modeling analysis, 'topic selection' and 'the relationship between team members' showed an increase in occupancy or high occupancy, and topics such as 'presentation', 'leadership', and 'feeling what they felt' showed a tendency to decreasing occupancy. Lastly, sentiment analysis has found that female students showed more neutral emotions than male students, and the passed group showed more negative emotions than the non-passed group and less neutral emotions. Based on these findings, students' practical recognition of the curriculum was considered and implications for the improvement of capstone design were presented.

Study on Service Internship Participation Determinant Contents of Undergraduate Students to Influence Their Career (대학생 진로에 영향을 미치는 서비스 인턴십 참여결정 콘텐츠 요인 분석)

  • Park, Hye-Young;Hur, Sun-Joo
    • Journal of Digital Contents Society
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    • v.16 no.4
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    • pp.595-604
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    • 2015
  • This study aimed to analyze service internship participation determinant contents of undergraduate students who major in airline service to influence their career. To accomplish this purpose, data collected from 211 students were analysed using logistic regression analysis. Personal characteristic, big 5character factors, social support were analysed as service internship determinant contents. The research results showed grade, GPA, broad experience, flight experience among personal characteristics and extraversion among big 5factors personality as significant service internship determinant contents of students. Also, the research results showed career preparation, career decision making self-efficacy and social support as non-significant service internship determinants of students. It was concluded that active participation with service internship is imperative for undergraduate students in airline service major to enhance career competence upon graduation.

Recognition and Attitudes on DNR of College Students (Focused on Comparison between Nursing and Non-Health Department College Students) (DNR에 대한 대학생들의 인식 및 태도(간호대학생과 비 보건계열대학생 비교를 중심으로))

  • Kim, Sung-Mi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.12
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    • pp.4907-4921
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    • 2010
  • The object of this descriptive survey research was to provide basic information source for building objective standards of DNR (Do Not Resuscitate) that can be clinically applied, by analyzing college students' awareness and attitude toward DNR. The participants of the study were 1,267 students from one college of Daegu, South Korea. The structured survey questionnaire was used for data collection, and the survey was conducted from 1-31 July, 2010. The error and percentage was estimated by SPSS 17.0 program, and analyzed with $x^2$-test. As a result of comparing the nursing students' and non-health care major students' awareness and attitude toward DNR, the significant differences were found in the necessity of DNR, reason for supporting DNR, reason for opposing DNR, and DNR decision-maker, among the awareness dimension; among the attitude dimension, significant differences were found in implication of family DNR and self-DNR. Comparing the nursing students' and non-health care major students' awareness toward DNR related information provision, researchers have found significant differences in the necessity of giving information on DNR, timing of the DNR information provision, result of the DNR-related information provision, and guidelines for the DNR information provision. In terms of the difference in DNR's necessity recognition by the demographic information, the significant differences existed based on the religion and the history of blood donation; in terms of the differences in attitude toward DNR decision-maker, the differences were found on the religion and the number of siblings. For the attitude toward family member's DNR, the significant differences existed for the sex, age, economic status, religion, the number of siblings, the history of familial illness and death, and experience of blood donation; the attitude toward the DNR for the self was significantly differed by the sex, economic status, the number of siblings, and the history of familial illness and death. To establish the standards for DNR based on the study, we suggest more well-designed future studies.

Development of a scoring rubric based on Computational Thinking for evaluating students' computational artifacts in programming course (비전공자 프로그래밍 수업 창의적 산출물의 컴퓨팅 사고력 기반 평가 루브릭 개발)

  • Kim, Minja;Yoo, Gilsang;Ki, Hyeoncheol
    • The Journal of Korean Association of Computer Education
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    • v.20 no.2
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    • pp.1-11
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    • 2017
  • The demands of computer science education for non-majors in higher education is increasing but relevant evaluation tools for the students' computational artifacts are lack. This research aims to develop a scoring rubric to assess student's computational artifacts in non-major programming course at Computational Thinking point of view. The rubric was developed based on 'CT Practice Design Pattern' as a framework. The rubric consists of 'domain, skills, evaluation, evaluating resources, and scales'. Domains are 'Design of abstract model', 'Design and application of creative artifacts', and 'Analysis of the artifacts'. Experts reviewed the rubric to ensure contents validity. The rubric is resulted in reliable for consistency. This rubric can be revised and applied to application environment accordingly.

Analyzing Students' Non-face-to-face Course Evaluation by Topic Modeling and Developing Deep Learning-based Classification Model (토픽 모델링 기반 비대면 강의평 분석 및 딥러닝 분류 모델 개발)

  • Han, Ji Yeong;Heo, Go Eun
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.4
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    • pp.267-291
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    • 2021
  • Due to the global pandemic caused by COVID-19 in 2020, there have been major changes in the education sites. Universities have fully introduced remote learning, which was considered as an auxiliary education, and non-face-to-face classes have become commonplace, and professors and students are making great efforts to adapt to the new educational environment. In order to improve the quality of non-face-to-face lectures amid these changes, it is necessary to study the factors affecting lecture satisfaction. Therefore, This paper presents a new methodology using big data to identify the factors affecting university lecture satisfaction changed before and after COVID-19. We use Topic Modeling method to analyze lecture reviews before and after COVID-19, and identify factors affecting lecture satisfaction. Through this, we suggest the direction for university education to move forward. In addition, we can identify the factors of satisfaction and dissatisfaction of lectures from multiangle by establishing a topic classification model with an F1-score of 0.84 based on KoBERT, a deep learning language model, and further contribute to continuous qualitative improvement of lecture satisfaction.

An Effect Analysis of Impact of the Major Satisfaction Level And Job Experience Had Been Done During Undergraduate on the First Job in Beauty Major Undergraduate Students (뷰티계열 대학생의 재학 중 일 경험과 전공 만족도가 전공 일치 첫 일자리에 미치는 영향)

  • Hwang, Hae Jung
    • Journal of Convergence for Information Technology
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    • v.10 no.11
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    • pp.288-295
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    • 2020
  • This study analyzes the impacts of undergraduate-work-experiences for beauty-major's graduates. 168 samples were selected from Graduates Occupational Mobility Survey data 2012 ~ 2017. As a result of a Multiple logistic regression analysis, a job experience, job period, and number of experienced job type mattered. In case of having non-major job experience while studying, the opportunities of finding a job of one who has no experience was higher than that of one had over a year work experience. While in case of having major job experience in the field of studying, one who has experience over 6 months and less than a year had higher chance in finding a job than that of one who had over a year work experience. I hope this promotes reviewing a systematic educational policy and helps to get a fundamental information on job-seeking behavior of beauty major graduate.

Designing an Intelligent Data Coding Curriculum for Non-Software Majors: Centered on the EZMKER Kit as an Educational Resource (SW 비전공자 대상으로 지능형 데이터 코딩 교육과정 설계 : EZMKER kit교구 중심으로)

  • Seoung-Young Jang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.901-910
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    • 2023
  • In universities, programming language-based thinking and software education for non-majors are being implemented to cultivate creative and convergent talent capable of leading the digital convergence era in line with the Fourth Industrial Revolution. However, learners face difficulties in acquiring the unfamiliar syntax and programming languages. The purpose of this study is to propose a software education model to alleviate the challenges faced by non-major students during the learning process. By introducing algorithm techniques and diagram techniques based on programming language thinking and using the EZMKER kit as an instructional model, this study aims to overcome the lack of learning about programming languages and syntax. Consequently, a structured software education model has been designed and implemented as a top-down system learning model.

The Operation of Home Economics Education Course in Graduate School of Education and the Graduate Students' Perception (서울소재 교육대학원 가정교육전공 교육과정에 대한 운영실태와 교육대학원생의 인식)

  • Lee, Seon-Jung;Shin, Hye-Won
    • Journal of Korean Home Economics Education Association
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    • v.20 no.4
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    • pp.173-186
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    • 2008
  • This study aimed to examine the operation of the Home Economics education courses in the graduate schools of education, and to find out how graduate students perceive them. Data were collected with the use of handbooks issued by 11 graduate schools of education located in Seoul, and through telephone conversations with the administrative staff. To determine how graduate students majoring in Home Economics perceive their Home Economics courses, a survey was conducted among the graduate students in 10 graduate schools of education, and a total of 131 accomplished questionnaires were used for data analysis. The results of the study are as follows. First, all 11 graduate schools aimed to retrain their teachers, enhance their professionalism, and produce home economics education experts. The Home Economics Education courses come in two strands; a teacher's course and a major course. Most of the schools require a total of 30 credits. All Schools lack professors. Only 3 graduate schools have a home Economics Department in the College of Education. All graduate schools are offering a teacher's course based on a teacher's certification system. In a major course, Home Economics education has the largest number of subjects, with Clothing and Textiles and Food and Nutrition being given greater emphasis, and Consumer Economics, Home Economics Management, Child Care, and Family and Housing Studies being given less emphasis. Second, they mostly regard the graduate school of education as producer of experts, followed by producers of teachers and teacher re-trainers. Those who were majoring in Home Economics Education in college, and the teachers, are more interested in teacher re-training, while the non-teachers and those who were not majoring in Home Economics Education are more interested in producing teachers. They are less satisfied with the operation of the graduate school of education. But they are generally satisfied with the Home Economics Education course. Graduate students registered the lowest satisfaction with a major course, especially experimental subjects. For a teacher's course, the graduate students who are not teachers exhibited higher satisfaction, whereas the teachers showed lower satisfaction. But teachers registered more satisfaction with the practical use of major subjects in the educational field, thinking that their major was a big help in their work at a school. As for what has to be improved with regard to the Home Economics Education course, many cited the necessity of securing a good faculty and expanding the major subjects.

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