• Title/Summary/Keyword: 융합모형

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15-week fitness program lesson The Effect of Noncommissioned officer's department Student Physical Fitness (15주간 체력단련 프로그램 단계적 학습모형 수업적용이 부사관과 학생 체력향상에 미치는 영향)

  • Kim, Byoung Jin
    • Convergence Security Journal
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    • v.18 no.2
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    • pp.141-148
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    • 2018
  • For soldiers, physical strength can be said to be a prerequisite for military spirit and combat skills, which is a prerequisite for combat skills, which can be maintained and promoted through regular physical exercises and exercises. It is expected to help students improve their stamina by providing training programs for military personnel and students who have worked on physical training programs to strengthen physical fitness programs for students and students, and utilize physical training programs for military discipline and fitness classes to improve military readiness in preparation for military training.

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Convergent Web-based Education Program to Prevent Dementia (웹기반의 치매 예방용 융합교육 프로그램 개발)

  • Park, Kyung-Soon;Park, Jae-Seong;Ban, Keum-Ok;Kim, Kyoung-Oak
    • The Journal of the Korea Contents Association
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    • v.13 no.11
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    • pp.322-331
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    • 2013
  • The purpose of the present study was to develop a convergent education contents for dementia prevention, operating on the web network applying modern information technology(IT). At the preparation stage, local and worldwide literatures related to dementia were analyzed followed by surveying industry demands, based on which the program was designed and developed. In the following enhancement stage, the program was modified as much as possible by advices obtained from experts in various fields. Development results of the present program are summarized as follows. Firstly, 645 intellect development model to prevent dementia was established through peer review and verification of convergent education theories by expert groups. This model was named as "Garisani" meaning "cognition capable of judging objects" in the Korean language. Secondly, 'Find a way' and 'Connect a line' modules were developed in the numeric field as well as 'Identify a letter(I, II)' modules, in the language field for web-based left brain training program. Thirdly, 'Find my car' and 'Vision training' modules in the attention field and 'Object inference' and 'Compare pictures' modules in the cognition field were developed for web-based right brain training program. Fourth, 'Pentomino' and 'BQmaze'(Brain Quotient and maze) modules in the space perception field and 'Visual training' in the memory field were developed for web-based left and right brains training. Fifth, all results were integrated leading to a 52 week Garisani convergent education program for dementia prevention.

Factors on the Satisfaction of Korean Medical Tour Convergence Services of Chinese College Students (중국 대학생의 한국 의료관광 융합서비스에 대한 만족 요인)

  • Lee, Won Jae;Song, Yang Min;Oh, Hyun Sook
    • Journal of the Korea Convergence Society
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    • v.8 no.2
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    • pp.53-62
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    • 2017
  • This study was to find the factors influencing satisfaction of Korean medical tour services of Chinese college students. Structured questionnaire was developed to collect data. The data were collected from the 175 students between May 1 and May 15 in 2015 in an international college in China. The expectations and the evaluations on the Korean medical tour services were compare by t-test. To find the factors influencing satisfaction on Korean medical tour services, diverse linear regression models were estimated. According to the best fit regression model, technologies, quality of medical tour services, and health care cost significantly and positively influenced satisfaction on the Korean medical tour services. The results of the study suggested that we need to prepare marketing strategies to improve understandings on Korean medical tour services for the Chinese college students. Improvement of technology, improvement of quality of health service, and setting of reasonable price are important to attract more Chinese patients to Korea.

Convergence Study on Research Topics for Thyroid Cancer in Korea (국내 갑상선암 논문 토픽에 대한 융합연구)

  • Yang, Ji-Yeon
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.75-81
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    • 2019
  • The purpose of this study was to perform a convergence study for the investigation of the trend of research topics related to thyroid cancer in Korea. We collected related research papers from DBpia and employed LDA-based topic model. In result, we identified four research topics, each of which concerns "Surgery", "Disease aggressiveness", "Survival analysis", and "Well-being of patients". With multinomial logistic regression, we found significant time trend, where "Surgery"-related topic was popular before 2000, topics regarding "Disease aggressiveness" and "Survival analysis" were frequently addressed in the 2000s, and "Survival analysis" and especially "Well-being of patients" have been pursued since 2010. The findings would serve as a reference guide for research directions. Future work may examine whether the recent change in research topics is observed in other diseases.

The Type of Attachment of e-commerce Users Impact on the Intention to Accept Technology (e-커머스(e-commerce) 이용자의 애착유형이 기술수용의도에 미치는 영향)

  • Choi, Jun-seok;Kim, Seong-jun;Kwon, Do-Soon
    • Journal of Convergence for Information Technology
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    • v.11 no.4
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    • pp.35-45
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    • 2021
  • The e-commerce industry using mobile or web is growing rapidly, and the emergence of various platform services is causing innovative changes in the e-commerce industry. This study aims to identify the attachment types of e-commerce users and to demonstrate the relationship between the PPerceived Usefulness, and Perceived Ease of Use by TAM. In order to empirically verify the research model of this study, a survey was conducted on ordinary people with experience using e-commerce and path analysis was conducted by using PLS to analyze its Internal consistency, Confirmatory factor analysis, Discriminant validity and Goodness-of-fit verification. As a result, a significant relationship between Perceived Stability, Perceived Usefulness, and Perceived Ease of Use was identified, could verify the association with the TAM and Acceptance Intention.

Development of English Teaching Model Applying Artificial Intelligence through Maker Education (인공지능활용 메이커교육 프로그램 적용 영어 교수학습 모형 개발)

  • Shin, Myeong-Hee
    • Journal of the Korea Convergence Society
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    • v.12 no.3
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    • pp.61-67
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    • 2021
  • The purpose of this study is to demonstrate how EFL learners can overcome the limitations of traditional classes and practice communication through the learning activity model. As a research method, it was conducted from March to June 2019 to develop and derive strategies and guidelines through model development, validation, and application. After two validity tests, the model was applied to the experimental group, resulting in an increase of self-direction, engagement, problem-solving, and participation. Moreover the post results showed significant results in all fields, the usefulness of this model was confirmed. However, continuous follow-up research is needed, including the development of software that can easily apply AI related to English learning to classes, and the presentation of convergence activities with more systematic maker education in learning activities.

Forecasting Cryptocurrency Prices in COVID-19 Phase: Convergence Study on Naver Trends and Deep Learning (COVID-19 국면의 암호화폐 가격 예측: 네이버트렌드와 딥러닝의 융합 연구)

  • Kim, Sun-Woong
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.116-125
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    • 2022
  • The purpose of this study is to analyze whether investor anxiety caused by COVID-19 affects cryptocurrency prices in the COVID-19 pandemic, and to experiment with cryptocurrency price prediction based on a deep learning model. Investor anxiety is calculated by combining Naver's Corona search index and Corona confirmed information, analyzing Granger causality with cryptocurrency prices, and predicting cryptocurrency prices using deep learning models. The experimental results are as follows. First, CCI indicators showed significant Granger causality in the returns of Bitcoin, Ethereum, and Lightcoin. Second, LSTM with CCI as an input variable showed high predictive performance. Third, Bitcoin's price prediction performance was the highest in comparison between cryptocurrencies. This study is of academic significance in that it is the first attempt to analyze the relationship between Naver's Corona search information and cryptocurrency prices in the Corona phase. In future studies, extended studies into various deep learning models are needed to increase price prediction accuracy.