• Title/Summary/Keyword: Universities, students

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A Case Study about Koreanese-Japanese Students' Convergence Cartoon Using Photovoice

  • Kwon, Kyung-min
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.77-85
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    • 2022
  • Today's universities have a keen interest in educational reform. The issue of population decline in college-age due to population decline is not new. Universities have been developing quantitatively for a long time and are now considering ways to survive rather than qualitative growth. Since the sharp decline in the school-age population due to the population decline has no clear solution immediately, universities are overcoming this crisis by creating many alternatives. Attracting international students is one of them. In this study, the effectiveness of photovoice was examined through the analysis of the case of the Korean-Japanese convergence cartoon class. The photo-voice method has sufficient potential as a teaching method for foreign convergence classes and can be expected to play a role as a teaching method suitable for students participating in convergence classes with different social, cultural, and linguistic backgrounds. In particular, in the convergence class, since participating students generate research materials through photo production, it can be a tool for inner exploration necessary for webtoon production and a tool for narrative inquiry for storytelling. It is expected that expanding the understanding and use of photo voice will have the methodological value of convergence classes. In addition, the teaching method using photo voice produced in the composition of photos and stories is likely to be used as an appropriate tool for convergence classes for students with different social, cultural, and linguistic backgrounds.

Research on Education Conditions of Basic Clothing Patterns in Korean Colleges & Universities (국내 대학 의류패션계열학과 의복원형설계 교육실태 조사)

  • Oh, Song-Yun;Choi, Hei-Sun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.3
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    • pp.346-359
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    • 2012
  • This study provides basic guidelines to enrich lecture content and teaching methods for university lecturers about basic clothing construction (flat pattern making). The survey was conducted from October $13^{th}$ to December $20^{th}$ 2010 by mail and e-mail on 96 selected clothing departments in Korean universities to investigate the content, method and condition of the course of basic pattern making. A total of 63.3% of survey respondents were PhD graduates, 80 percent majored 'Apparel Science and Technology', average of total teaching experience was 12.84 years and 40 percent had studied abroad. The surveyed universities were 4 year universities (70%), 2-3 year tenure colleges (27%), and Cyber Universities (3%). The average number of students in a class was 28.08 and the lab space and equipment was evaluated positively only when the number of students was 20 or less. The type of measurements for basic pattern drafting were 'individual student's sizes' (62%), 'ready-made clothes sizing system' (25%), 'professor's experiential sizes' (5%), 'dress form sizes' (3%). In addition, the percentage of using 'ready-made clothes sizing system' increased 13% over the previous study (Lee, 2000). At a basic pattern drafting stage, 'the error of body measurements' in the case of using individual student's sizes, 'the poor results of fitting for students who deviate from standard body size' in the case of using ready-made clothes sizing system, 'the lack of education about fitting' in the case of using dress form sizes had been pointed out as shortcomings. A total of 66% of survey respondents carried out muslin fitting; however, a lack of students and teacher feedback about fitting & alteration of paper patterns remained a problem.

A Study on University Big Data-based Student Employment Roadmap Recommendation (대학 빅데이터 기반 학생 취업 로드맵 추천에 관한 연구)

  • Park, Sangsung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.3
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    • pp.1-7
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    • 2021
  • The number of new students at many domestic universities is declining. In particular, private universities, which are highly dependent on tuition, are experiencing a crisis of existence. Amid the declining school-age population, universities are striving to fill new students by improving the quality of education and increasing the student employment rate. Recently, there is an increasing number of cases of using the accumulated big data of universities to prepare measures to fill new students. A representative example of this is the analysis of factors that affect student employment. Existing employment-influencing factor analysis studies have applied quantitative models such as regression analysis to university big data. However, since the factors affecting employment differ by major, it is necessary to reflect this. In this paper, the factors affecting employment by major are analyzed using the data of University C and the decision tree model. In addition, based on the analysis results, a roadmap for student employment by major is recommended. As a result of the experiment, four decision tree models were constructed for each major, and factors affecting employment by major and roadmap were derived.

A Study of Freshman Dropout Prediction Model Using Logistic Regression with Shift-Sigmoid Classification Function (시프트 시그모이드 분류함수를 가진 로지스틱 회귀를 이용한 신입생 중도탈락 예측모델 연구)

  • Kim Donghyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.4
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    • pp.137-146
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    • 2023
  • The dropout of university freshmen is a very important issue in the financial problems of universities. Moreover, the dropout rate is one of the important indicators among the external evaluation items of universities. Therefore, universities need to predict dropout students in advance and apply various dropout prevention programs targeting them. This paper proposes a method to predict such dropout students in advance. This paper is about a method for predicting dropout students. It proposes a method to select dropouts by applying logistic regression using a shift sigmoid classification function using only quantitative data from the first semester of the first year, which most universities have. It is based on logistic regression and can select the number of prediction subjects and prediction accuracy by using the shift sigmoid function as an classification function. As a result of the experiment, when the proposed algorithm was applied, the number of predicted dropout subjects varied from 100% to 20% compared to the actual number of dropout subjects, and it was found to have a prediction accuracy of 75% to 98%.

An Examination of the Relationship between Learning Outcomes of Employees Participating in Work-Study Integrated Degree Programs and University Efforts in Response (일학습병행 재직자학위연계 교육과정 참여학생의 학습성과와 대학측 대응 노력 간의 연관성 고찰)

  • Choi, Sungyon
    • Journal of Engineering Education Research
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    • v.27 no.1
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    • pp.3-12
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    • 2024
  • The degree-linked programs for employees, operated by joint training centers in specialized universities that have implemented work-study integrated programs, are educational programs that require an annual government budget of around 80 billion KRW. However, the 70+ universities running these programs face issues such as a decline in academic achievement and an increase in dropout rates among students. In this paper, I conducted multiple regression analysis based on observed and measured information to examine whether the participating students in these programs are achieving an appropriate level of academic performance and to identify the factors that universities need to invest in to achieve that level. To do this, I hypothesized a causal relationship between the university's input factors and students' academic achievement, and used the SPSS program to analyze the statistical data, confirming the validity of the hypothesis. The collected data for the study were obtained through a survey developed using a Likert 4-point scale, which quantified the distribution of grades among students enrolled in IT-related departments offering the degree-linked programs for employees and the emotional contact efforts made by the universities to motivate them for academic success. Particularly, through the results of multiple regression analysis, it was confirmed that these input factors, unlike those for students in general education programs, require more personalized and frequent interactions.

The Third Year Students' Recognition Level for Dementia and Health Education Needs in Universities: Comparison between Health Major and Non-health Major (대학교 3학년의 치매 인식과 보건교육 요구도: 보건계열과 비보건계열 비교)

  • Lee, Jun-Woo
    • The Journal of Korean Society for School & Community Health Education
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    • v.10 no.1
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    • pp.35-46
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    • 2009
  • Background & Objectives: The purpose of this study was to offer basic materials for the correct comprehension of dementia and of health education needs by comparing the students' recognition level of dementia. Methods: Three health major departments(the department of nursing science, physical therapy and occupational therapy) and three non-health major departments(the department of English, early childhood education and biology) were randomized in universities. And the 180 juniors students involved in this study and their level of educational experience and of recognition of dementia was analyzed. Results: There weas no difference about recognition of social welfare services between the students of health departments and non-health departments, but there were differences between them about other health education needs. Conclusion: Students of non-health majors who learn the subjects unrelated to dementia should get an education on dementia so that they can understand and recognize health education needs on dementia.

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A Study on Domestic Shared University Operation Case Analysis: Focusing on DSC(Daejeon·Sejong·Chungnam) Platform University (국내 공유대학 운영 사례 분석: DSC(대전·세종·충남) 공유대학을 중심으로)

  • Kim, Donghyeun;Hwang, Youngsik;Bae, Yura;Kim, Taehoon
    • Journal of Engineering Education Research
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    • v.26 no.4
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    • pp.47-57
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    • 2023
  • This paper examines the characteristics of shared universities in Korea and seeks future development directions from the analysis of its operation. This study overviews the current status of students and the characteristics of each major in the DSC Shared University. This provides the future improvement direction and analyzes the survey of attending students. The results shows the most DSC students are engineering students, and they are taking classes centering on the major courses opened by their school. Future direction of shared universities include the recruitment of students from various backgrounds, expansions of enrollment in other schools' curriculum.

The Development and Practice of Design Thinking Methodology Based on Gamification : Focusing on University Loyalty Program (게임화 기반 디자인 사고 방법론의 개발과 실제 : 대학교 로열티 프로그램을 중심으로)

  • Na, Juyeoun;Jun, Hee Ra;Chen, Yujeong;Choi, Hye Young;Park, Do-Hyung
    • Journal of Information Technology Services
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    • v.15 no.2
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    • pp.65-80
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    • 2016
  • Currently, many universities offer a variety of programs for students to improve their knowledge and expertise for their career development. Because each program's success depends on students' active participation and passion, the university makes a lot of efforts to motivate them enhance the loyalty toward the school. Several universities in Korea operate their own loyalty program based on their students' activities. However, we need to develop a distinctive loyalty program to suit universities' education environment because the purpose of education is different from existing commercial purpose. This study shows the process that improves problems of loyalty programs that are operated by the K University and suggests new ideas based on design thinking methods. Also, this study includes a process that changes standardized and involuntary loyalty program to interesting loyalty program that induces students' voluntary participation through combining with gamification concept. The method that we suggest in this study is expected to extend various fields.

The Information Distribution Role of Facebook in Universities

  • NGUYEN, Thi Nguyet Dung;NGUYEN, Thi Thu Huong;NGUYEN, Thi Phuong Anh;NGUYEN, Thi Thu Huong;VU, Thi Phuong Thao
    • Journal of Distribution Science
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    • v.20 no.5
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    • pp.75-84
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    • 2022
  • Purpose: The paper employs the theory of planned behaviour, social identity theory, social presence theory, and social exchange theory to propose a model for using the social media platform Facebook in distributing information in universities. Research design, data and methodology: Data were obtained from 618 students at Hanoi University of Industry (HaUI) in Vietnam. The study used structural equation modeling in SPSS and the statistical analysis software AMOS version 24 to explore the information distribution role of Facebook. Results: Findings reveal that subjective norms and social presence play a key role in driving students to use Facebook for studying. In addition, university administrators can boost student satisfaction and academic achievement through Facebook. Interestingly, students who strongly identify with the brand name of the university have a strong connection with the university are more likely to engage in behaviors supportive toward the university. Conclusions: These findings show that Facebook had played a key information distribution role in universities. Thus, the study provides the executive board of the university and teachers can gain new understanding of why students employ Facebook for studying as well as capitalize on the platform to improve several operational metrics such as brand identification, student satisfaction, and academic achievement.

Study on the Digital File Management Behavior of Undergraduate Students according to the Life Cycle of Digital Object (디지털 객체 생애주기에 따른 대학생의 파일관리 행태 연구)

  • Jee, Yoon-Jae;Lee, Hye-Eun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.1
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    • pp.321-343
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    • 2022
  • This study presents the direction of services and policies for digital file management in universities by identifying undergraduate students' digital file management behavior. The research defined the Life Cycle of Digital Objects. In addition, This research collected data from 154 undergraduate students using an online survey on their file Creation, Storing, Naming, Organizing, and Backup based on the Digital File Management Workflow. Also, an in-depth interview was conducted for 8 students, two for each major in engineering, arts, social science, and humanities. The result showed that students mostly used personal computers as storage media and USB drive as backup media and had their own file Naming and Organizing methods. Furthermore, students' satisfaction with digital file management was high when universities supported software and cloud storage. Therefore, this study suggests that universities need to provide services reflecting the students' digital file management behavior.