Mihyun Chung;Oakyoung Han;Kapsu Kim;Seungki Shin;Jaehyoun Kim
Journal of Internet Computing and Services
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v.24
no.6
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pp.57-64
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2023
This study analyzed the perceptions of elementary and secondary school teachers regarding the importance of SW/AI education in fostering students' fundamental knowledge and the necessity of integrating SW/AI into education. A total of 830 elementary and secondary school teachers were selected as study subjects using the judgment sampling method. The analysis of survey data revealed that elementary and secondary teachers exhibited a strong awareness of the importance and necessity of SW/AI education, irrespective of school characteristics, region, educational experience, or prior involvement in SW and AI education. Nevertheless, the primary reasons for not implementing SW/AI education were identified as excessive workload and a lack of pedagogical expertise. An analysis of opinions on the essential conditions for implementing SW/AI education revealed that workload reduction, budget support, teacher training to enhance teacher competency, content distribution, expansion of subject-linked courses, and dedicated instructional time allocation were the major influencing factors. These findings indicate a significant demand for comprehensive instructional support and teacher capacity-building programs.
Objectives: This study examined the determinants of quality of life, depending on the presence or absence of asthma in adults, based on secondary wave data. Methods: Among the 21,724 people participating in the 6th Korea National Health and Nutrition Examination Survey as it was conducted from the first to third period, 495 participants who were aged 19 or older and responded to the question of the presence or absence of asthma were included in the final analysis. Demographic characteristics were examined using the SPSS/WIN 23.0 software tool for analysis of complex sample survey data. Health-related characteristics were presented using descriptive and multivariate analysis of data. Rao_Scott ${\chi}^2$ was used for the analysis of differences in quality of life, and multiple regression analysis of complex sample survey data was used to analyze factors affecting quality of life. Results: The variable factors negatively influencing quality of life were aging, cognition of their ill health, and limited activities. Conclusions: Based on the analysis, the study suggests that practical and ongoing nursing intervention proposals to improve the quality of life of asthmatic patients should be implemented not only for physical limitations and aging but also for psychological factors that reflect subjective health statuses.
Journal of The Korean Association For Science Education
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v.9
no.1
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pp.91-99
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1989
This stdudy intended to analysis the achievements of science education in primary, secondary and high school in Korea and Japan based on the IEA(the Internationl Association for the Evaluation of Educational Achievement) data. Advancing in school level. Korean students were inferior to Jatopanese in Science achievements, especially much more in comprehension, application than knowledge aspect. This results were roughhly discussed in relation to the environments of science edecation and the evlation systems.
Purpose: This study was to identify health-related quality of life of Korean young adults and elderly with multimorbidity and to examine factors influencing their health-related quality of life. Methods: Health-related quality of life was measured by the Korean version of the EQ-5D. Using a descriptive study, the study incorporated a secondary analysis of the Korean version of the EQ-5D data from the 8th wave of the Korea Health Panel Survey in 2013. Selected demographic data and the Korean version of the EQ-5D were analyzed using ${\chi}^2$-test, t-test, ANOVA and multiple regression analysis. Results: Education, drinking, type of health insurance, and number of chronic disease significantly affected the health-related quality of life in the young adults with multimorbidity. Educational level, occupational type, drinking, physical activity, number of chronic disease, unmet healthcare need and the type of multimorbidity significantly affected the health-related quality of life in the elderly with multimorbidity. Conclusion: The factors influencing health-related quality of life were different for young adults versus elderly with multimorbidity. Therefore, there is a need for age-specific health care programs that may improve health-related quality of life of adults with multimorbidity.
Purpose: North Korea is a very close country geographically and culturally, but the nation has been one of the most secretive countries in the world. However, in recent years, North Korean society has been known to rapidly change its economic environment as well as its diplomatic and political environment. Since the gaining power of Jong-un, Kim in 2012, the North Korean government has implemented a new set of economic policies. North Korea has embraced limited market systems and mechanisms that have become a part of the formal planned economy. This study is concerned with the recent changes in the market and marketing activities of the communist country. It also seeks to gain an understanding of the changing market behavior of North Korean consumers. The purpose of this study is to enhance understanding of the market environments of North Korea and to provide appropriate implications for practitioners and researchers. Research design, data and methodology: Academic access to information that can understand North Korea's reality is minimal. Therefore, this study was conducted based on a qualitative analysis of secondary data. The existing literature on North Korea, related news and reports were the basis of the analysis. Analysis of secondary data related to North Korea was the main methodology of the study. Results: The official ideology of North Korea rejected most aspects of marketing, and yet there were marketing activities in North Korea. This article focuses on the development of market and marketing activities in North Korea during the recent years. This study indirectly confirmed that the market function is being activated in North Korea, and the basic functions of marketing such as advertisement, price, and distribution are being formed. In this process, the activation of the 'Jangmadang(market)' played a significant role. Conclusions: Research shows that North Korea is rapidly developing its own market function. In addition, marketing activities such as advertising and pricing strategies seem to be unprecedentedly active. However, due to changes in the political environment, the future development of North Korea's marketing is still in flux. Efforts to improve mutual understanding through continuous research are required.
Objective: Drinking drive is a nationally recognized social problem. This research aimed to describe the relationship between drinking behavior and drinking drive based on the social demographic characteristics. Methods: This paper used secondary data for analyses which was derived from the national representative samples of adults; National Health and Nutrition Surveys by Korea Institute for Health and Social Affairs in 1998 and 2001. For data analyses, univariate analysis, Chi-square test and logistic regression analysis were adopted for the samples of male adults who were driving and 20 years old and more. Results: The prevalence of drinking drive varied significantly among socio-demographic characteristics. The year prevalence rates of drinking drive were 29.1% in 1998 and 16.4% in 2001. In the rates of drinking drive, males were higher than those of females in both years. By age, twenties to thirties showed the highest ratio of drinking drive(odd ratio=18.8), compared with the sixties. Related to the occupation, the persons who were engaging in farming and fishery showed the highest ratio(odd ratio=3.73) of drinking drive in comparison to the unemployed. Conclusions: People who drink alcohol frequently tended to have more experiences of drinking drive. In addition, the drivers who drink more amount of alcohol drinking were significantly associated with higher rates of drinking drive, as well. Strategy based on the socio-demographic characteristics may provide a promising prevention of reducing drinking drive. Community-based efforts, education, self-awareness and public-awareness to address drinking and drinking drive problems are effective in reducing drinking drive. Enacting comprehensive regulations which control drinking drive can reduce both alcohol use and drinking drive.
Purpose: This study was conducted to examine the effects of individual counseling for bus-drivers on cerebrovascular and cardiovascular disease prevention. Methods: The one-group pretest-posttest design was used. This study presents a secondary analysis of data collected in 'contents of cerebrovascular and cardiovascular disease prevention program for bus-drivers in one workplace in Seoul, Korea. The data were collected from 56 bus drivers, using questionnaires from September 10th to November 20th, 2014. The analysis was conducted with ${\chi}^2$ test and paired samples t-test using SPSS/Win 21.0. Results: After the intervention, the participants showed a significant decrease in the level of systolic blood pressure (p=.003) and a significant increase in the total cholesterol level (p=.030). The distribution of cardiovascular risk groups changed after the intervention: 5.3% decreased in the high risk group, 16.1% decreased in the medium risk group, and 3.5% decreased in the low risk group, while 25.0% increased in the normal group. Conclusion: The comprehensive individual counseling including simple screening, tailored education and counseling is effective to manage their lifestyle risk factors, resulting in better maintenance of their health as well as preventing cerebrovascular and cardiovascular disease.
Purpose: This study was conducted to assess the incidence and characteristics of pressure ulcer in relation to the type of equipment and supplies(EnS) in intensive care unit(ICU). Method: By using secondary data analysis and descriptive investigation, 29 patients of pressure ulcers caused by EnS were examined from January 2013 to December 2015, at the advanced general hospital located in Gyeongsangnam-do. The subjects were aged 19 years and above and had been in the ICU for more than 3 days. The data were analyzed using the SPSS WIN 23.0 with frequency, percentage, and mean and standard deviation. Result: The incidence of EnS-related pressure ulcers was 3.71%. The EnS-related causes for pressure ulcers were endotracheal tube(31.03%), restraint(20.69%), and neck brace(10.34%). The longest use of EnS was oxygen tube(29 days). EnS that were possibly causing pressure ulcer for one day were restraint(upper extremities), endotracheal tube(oral and face), and oxygen mask(ear and nose). Conclusion: This study has been limited to secondary data analysis that may result in missing records of pressure ulcers related to EnS in ICU. However, the analysis of this research is expected to contribute to the development of nursing interventions to clarify the guidelines for the prevention of pressure ulcers related to EnS in ICUs.
Since the development of surface magnetic features should reflect the evolution of the solar magnetic field in the deep interior of the Sun, it is crucial to study properties of sunspots and sunspot groups to understand the physical processes working below the solar surface. Here, using the data set of sunspot groups observed at the ButterStar observatory for 3,364 days from 2002 October 16 to 2011 December 31, we investigate temporal change of sunspot groups depending on their Z$\ddot{u}$rich classification type. Our main findings are as follows: (1) There are more sunspot groups in the southern hemisphere in solar cycle 23, while more sunspot groups appear in the northern hemisphere in solar cycle 24. We also note that in the declining phase of solar cycle 23 the decreasing tendency is apparently steeper in the solar northern hemisphere than in the solar southern hemisphere. (2) Some of sunspot group types make a secondary peak in the distribution between the solar maximum and the solar minimum. More importantly, in this particular data set, sunspot groups which have appeared in the solar southern hemisphere make a secondary peak 1 year after a secondary peak occurs in the solar northern hemisphere. (3) The temporal variations of small and large sunspot group numbers are disparate. That is, the number of large sunspot group declines earlier and faster and that the number of small sunspot group begins to rise earlier and faster. (4) The total number of observed sunspot is found to behave more likewise as the small sunspot group does. Hence, according to our findings, behaviors and evolution of small magnetic flux tubes and large magnetic flux tubes seem to be different over solar cycles. Finally, we conclude by briefly pointing out its implication on the space weather forecast.
International Journal of Computer Science & Network Security
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v.22
no.10
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pp.246-256
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2022
Recently, parents and teachers consider physical education as a minor subject for students in elementary and secondary schools. Physical education performance has become increasingly significant as parents and schools pay more attention to physical schooling. The sports mining with distribution analysis model considers different factors, including the games, comments, conversations, and connection made on numerous sports interests. Using different machine learning/deep learning approach, children's athletic and academic interests can be tracked over the course of their academic lives. There have been a number of studies that have focused on predicting the success of students in higher education. Sports interest prediction research at the secondary level is uncommon, but the secondary level is often used as a benchmark to describe students' educational development at higher levels. An Automated Student Interest Prediction on Sports Mining using DL Based Bi-directional Long Short-Term Memory model (BiLSTM) is presented in this article. Pre-processing of data, interest classification, and parameter tweaking are all the essential operations of the proposed model. Initially, data augmentation is used to expand the dataset's size. Secondly, a BiLSTM model is used to predict and classify user interests. Adagrad optimizer is employed for hyperparameter optimization. In order to test the model's performance, a dataset is used and the results are analysed using precision, recall, accuracy and F-measure. The proposed model achieved 95% accuracy on 400th instances, where the existing techniques achieved 93.20% accuracy for the same. The proposed model achieved 95% of accuracy and precision for 60%-40% data, where the existing models achieved 93% for accuracy and precision.
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