• Title/Summary/Keyword: policy support

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Exploring the Academic Identity of Dance Pedagogy : Using Keyword Network Analysis and Time Series Analysis (무용교육학(Dance Pedagogy)의 학문적 정체성 탐색 : 시계열 관점의 키워드 네트워크 분석을 중심으로)

  • Kim, Ji-Young;Hong, Ae-Ryung
    • Journal of Digital Convergence
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    • v.17 no.9
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    • pp.439-450
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    • 2019
  • The purpose of the study was to critically explore the academic identity of dance education as a paradigm of practice-based education. Dance education is recognized as a school dance since the first curriculum was designed, which was announced by the Ministry of Education in 1955. Although Korea's dance education has 65 years of history, its academic identity as a dance education is not very strong. Traditional dance education was teacher-centered, skills-oriented, and exercise-oriented by following the practice-based paradigm. Recently, an initiative was taken to establish a new paradigm for dance education in schools, communities, and professional fields. This study followed the keyword network analysis and reviewed the main contents of each section of dance education research from a time-series perspective. The first section (1968-1979) is a practice of dance education based on physical education; the second section (1980-1989) is a creative-based movement education for primary education; the third section (1990-1999) is a systematization of dance education courses by class; the fourth section (2000-2009) is a paradigm for cultural and artistic education; the fifth section (2010-2019) consisted of various educational practices and institutions. Based on the research results, efforts are requested to establish an academic identity that can support dance education, interdisciplinary practice, and research.

Characteristic Analysis of Industrial Structure in Jeju Special Self-Governing Province Using Dynamic Shift-Share Analysis (동태적 변이할당분석을 이용한 제주특별자치도 산업구조 특성 분석)

  • Yang, Young-Jun
    • Journal of the Korea Convergence Society
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    • v.10 no.8
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    • pp.181-193
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    • 2019
  • The regional economy growth of Jeju has seen higher than national growth since 2011 by the establishment of Jeju Special Self-Governing Province and the increase of incoming population, but its economic growth has slowed after 2016. This study conducted the dynamic shift-share analysis using the production and employees of each industry from 2010 to 2016, targeting Jeju with many factors of regional economic change. In the results of empirical analysis, the regional economy of Jeju was not the industrial structure depending on the national growth, but the industrial structure by the competitiveness and industrial structure of Jeju region. The industries having positive(+) effects of industrial mix effect and competitive effect on the production and the number of employees were the electricity/gas/heavy equipments & waterworks, construction, accommodation & restaurants, and service industry. These industries have positive effects on the regional industry of Jeju. The above-mentioned industries are not only more likely to grow than other regions, but also to drive the local economy of Jeju. In order for these industries to continuously contribute to the regional economy of Jeju, it would be necessary to have the policy/institutional support in the long-term perspective.

A Study on Improvements and Current Issues of Records and Archives Management in Special Project Teams at the University : focused on the J University (대학특별사업단 기록물 관리 현황분석 및 개선방안 연구 J대학을 중심으로)

  • Choi, Hyo Young;Kim, Chan Young;Kim, Yong
    • The Korean Journal of Archival Studies
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    • no.50
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    • pp.97-138
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    • 2016
  • This study presents the problems in the records management of special project teams at J University. Methods for the improvement plan were also proposed in this study. To achieve these objectives, five special project teams from J University, which were supported by the Ministry of Education, were selected. To collect relevant information, twelve staff members and experts were then interviewed. The records produced by the projects should be managed as evidence of the project evaluation and transparent budget execution. Proper management can be a good material for research. However, the management of project teams is vulnerable in comparison with the records of other universities. The main reason is that although the project team produces various types of records, it has not been recognized as the Department of Processing. Another reason is that the project teams are temporary institutions and do not possess authority over the entire project process. To solve the aforementioned problems, this study proposes improvement plans in the following aspects: institutional, cognitive, administrational, and systemic. In the institutional and cognitive aspects, policy and regulation were set up. In the administrational aspect, the relation and role of each element were defined. In conclusion, the plans for building the Combined Archives System were suggested. In addition the methods on how to connect with the KORUS-which will be introduced in 2017-and the system currently being used are proposed.

Implementing an Adaptive Neuro-Fuzzy Model for Emotion Prediction Based on Heart Rate Variability(HRV) (심박변이도를 이용한 적응적 뉴로 퍼지 감정예측 모형에 관한 연구)

  • Park, Sung Soo;Lee, Kun Chang
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.239-247
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    • 2019
  • An accurate prediction of emotion is a very important issue for the sake of patient-centered medical device development and emotion-related psychology fields. Although there have been many studies on emotion prediction, no studies have applied the heart rate variability and neuro-fuzzy approach to emotion prediction. We propose ANFEP(Adaptive Neuro Fuzzy System for Emotion Prediction) HRV. The ANFEP bases its core functions on an ANFIS(Adaptive Neuro-Fuzzy Inference System) which integrates neural networks with fuzzy systems as a vehicle for training predictive models. To prove the proposed model, 50 participants were invited to join the experiment and Heart rate variability was obtained and used to input the ANFEP model. The ANFEP model with STDRR and RMSSD as inputs and two membership functions per input variable showed the best results. The result out of applying the ANFEP to the HRV metrics proved to be significantly robust when compared with benchmarking methods like linear regression, support vector regression, neural network, and random forest. The results show that reliable prediction of emotion is possible with less input and it is necessary to develop a more accurate and reliable emotion recognition system.

Factors analysis of the oral health-related quality of life in the elderly (노인의 구강건강관련 삶의 질과 요인분석)

  • Jo, Eun-Deok;Kim, Eun-Sol;Hong, Hae-Kyung;Han, Gyeong-Soon
    • Journal of Korean society of Dental Hygiene
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    • v.19 no.1
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    • pp.55-64
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    • 2019
  • Objectives: The purpose of this study was to compare the differences in oral health-related quality of life among elderly people aged over 65 years, in terms of physical, mental and oral health status and to analyze factors affecting their oral health-related quality of life. Methods: From May 9 to June 23, 2017, we randomly visited aged-care community centers in the metropolitan area, and recruited 222 elderly, aged 65 or older. First, each participant completed a questionnaire consisting of 4 general items: 1 systematic disease, and 3 subjective oral conditions. Afterwards, the researchers interviewed the participants to assess their mental status, using MMSE-DS and recorded the responses. Finally, an oral examination was performed to determine the number of remaining teeth. The average oral health-related quality of life according to each characteristic was analyzed by t-test and ANOVA. Hierarchical multiple regression analysis and Pearson's correlation coefficient analysis were used to analyze the correlations between factors and the factors affecting oral health-related quality of life. Results: The mean oral health-related quality of life was 4.15. Participants with 20 or more remaining teeth demonstrated better oral health-related quality of life than those with 19 or less teeth. Higher oral health-related quality of life was also found among elderly without gingival bleeding, self-reported halitosis and dry mouth. In addition, positive correlation with the number of remaining teeth and negative correlation with gingival bleeding, self-reported halitosis and dry mouth, were noted. Finally, the results of the hierarchical multiple regression analysis indicated that remaining teeth, gingival bleeding, self-reported halitosis and education were influential factors in determining the oral health-related quality of life among the elderly. Conclusions: The results of this study confirmed the necessity of better policy support, and the importance of implementing delivered, elderly-centered oral health education program by professionals to prevent tooth loss and manage periodontal diseases.

Exploring Job Stress, Job Satisfaction, and Turnover Intention of Nurses in the Comprehensive Nursing Service (상급종합병원의 간호·간병통합서비스 병동에 근무하는 간호사의 직무스트레스, 직무만족 및 이직의도)

  • Kwak, Sook Hee;Hyun, Sookyung
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.23-30
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    • 2019
  • The purpose of this study was to examine job stress, job satisfaction, and turnover intention of the nurses who work at the comprehensive nursing service units in two academic medical institutions that provide healthcare service at the tertiary care level in Korea. A descriptive study was conducted with the nurses by using self-reported questionnaires. We used descriptive statistics to summarize the data and Mann-Whitney U test for group comparison. The mean scores of job stress, job satisfaction, and turnover intention were $89.17{\pm}12.56$, $107.25{\pm}6.85$, $37.19{\pm}4.86$, respectively. Nurses with religion showed more job stress than those without. Nurses with their age below 30 years old had significantly less job satisfaction than those older than 30 years old. Monthly income was significantly associated with turnover intention in our data. The top three sub-category of the job stress were conflict with physicians, patients and their caregivers, and conflicts with others; and those of the job satisfaction were pay and promotion and task requirement. Job stress, job satisfaction, and turnover intention were significantly correlated. In order to reduce turnover intention of nursing professionals in the comprehensive nursing service, job stress related to issues on relationships with patients, their family, health care providers need to be taken into consideration. Policy and administrative support are needed to improve their work environment.

Convergence Factors Related with Communication Competency of Students in Health Majors in Studying for TOEIC (TOEIC을 학습하는 보건계열 일부 대학생의 의사소통능력과 관련된 융복합적 요인)

  • Hong, Soomi;Bae, Sang-Yun
    • Journal of Digital Convergence
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    • v.17 no.5
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    • pp.257-266
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    • 2019
  • This study investigates convergent factors related with communication competency of some health majors students in studying for TOEIC. The questionnaire was used using an unregistered self-administered questionnaire for 280 health majors students in TOEIC class from college located in J area from November 1, 2018 to November 30, 2018. The hierarchical multiple regression analysis shows the following results. The communication competency of respondents turned out to be significantly higher in following groups: a group in which ego-resilience is higher, a group in which inkling is higher, and a group in which self-leadership is higher. The results show explanatory power of 57.0%. The results of the study indicate that the efforts, to increase ego-resilience, inkling and self-leadership are required to improve the communication competency among health majors students in studying for TOEIC. These results can be used to develop and operate educational resources and support programs that improve communication competency of health majors students in studying for TOEIC. Future research requires presentation and analysis of structural models considering factors affecting communication competency and correlation with TOEIC scores of health majors students in studying for TOEIC.

The overview of lifelong education in France and implications for Korean society (프랑스 평생교육에 대한 소고 - 우리 사회의 시사점을 중심으로 -)

  • Lee, Kyeong-Soo
    • Cross-Cultural Studies
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    • v.49
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    • pp.201-228
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    • 2017
  • In Korean society, universities represent institutions of higher education. Industrialization and economic development led to a small number of elite groups at the helm of these institutions. However, our society has encouraged a lifelong system of learning, and apparently, the present university system does not represent an ideal scenario. The Korean government recognized the need for appropriate changes. The events associated with the implementation of related policies occurred at the Ewha Womans University (Seoul) last year. This article is based on the notion of lifelong education to further our understanding of the role of university in the absence of a consensus among university and college members regarding lifelong learning in our society. As an alternative, we looked at the case of France, which is adopting a lifelong education system and implementing related policies ahead of us. Despite regulatory challenges and adaptation of the role of public education in lifelong learning, France has laid a solid foundation. In our case, we are recognizing the need to prepare for lifelong learning. In particular, it is necessary to increase public awareness of education by clearly recognizing our national responsibility and increasing the financial support to universities, accordingly. Above all, the role and attitude of universities must change, along with the perception of its members.

Pneumococcal Vaccination Rate and Related Factors in Older Adults in Republic of Korea (한국 노인의 폐렴구균 백신 접종률 및 관련 요인)

  • Lee, Sok Goo;Jeon, So Youn
    • Journal of agricultural medicine and community health
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    • v.46 no.2
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    • pp.67-77
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    • 2021
  • Objectives: This study aimed to identify the vaccination rate for pneumococcus among aged 65 or older, and at the same time to determine the reasons for vaccination or non-vaccination. Methods: The population of this study was aged 65 or older, with a total of 1,150 subjects to be analyzed and a computer assisted telephone interviewing was used. The survey included pneumococcal vaccination status, reasons of vaccination, sources of information on vaccination, reasons for not vaccination, and other related factors. Results: The vaccination rate for pneumococcus among aged 65 or older was 56.2 percent, lower than 69.0 percent in the U.S. (2017), and 69.2 percent in the U.K. (2019). Among the factors related to the pneumococcal vaccination, the groups with the high vaccination rate were women, low age groups, residents of urban areas, people without a job, people with high education, medical insurance subscribers, married people, and people who have family members. In addition, the groups with high vaccination rates were those with high awareness, those who received recommendations from doctors, those who had vaccination records, those who believed in vaccination effects, and those who saw public service advertisements. Conclusions: In the future, it is necessary to develop alternatives to accurately manage vaccination records for adults who are not eligible for state support, and regular adult vaccination rates should be calculated so that they can be used as evidence for the country's infection control policy.

Deep Learning-based Technology Valuation and Variables Estimation (딥러닝 기반의 기술가치평가와 평가변수 추정)

  • Sung, Tae-Eung;Kim, Min-Seung;Lee, Chan-Ho;Choi, Ji-Hye;Jang, Yong-Ju;Lee, Jeong-Hee
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.48-58
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    • 2021
  • For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.