• Human Ecology Research
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• v.62 no.1
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• pp.81-100
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• 2024

This paper presents a case study in which a lesson was designed and applied to enhance preservice home economics teachers' instructional design competence using the metaverse. For 15 weeks from March 6 to June 14, 14 students enrolled on the course 'Multimedia Home Economics Education' for preservice home economics teachers used the metaverse to engage in problem-based learning to solve instructional design problems in home economics classes. In accordance with the ADDIE design model, in the analysis stage, we assessed preservice home economics teachers' level of knowledge of lessons using the metaverse, and their perceptions of the possibility, necessity, and usefulness of using the metaverse in home economics lessons. In the design and development stage, lesson plans, questions for problem-based learning, assessment tools, and teaching and learning materials were developed. The implementation was conducted in parallel with training on understanding multimedia and the metaverse, and instructional design competence was evaluated through pre- and post-testing and reflection journals. The results revealed that the preservice home economics teachers acquired a good understanding of lessons using the metaverse, learned how to design lessons for self-directed learning by applying the metaverse to their home and classroom, and gained confidence in applying it to their teaching practice or in-service work. It is expected that the results of this study will be used as support materials for prospective and current home economics teachers to design home economics lessons using the metaverse, thereby expanding the horizons of home economics education.

• Korean Journal of Artificial Intelligence
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• v.12 no.1
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• pp.7-16
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• 2024

This study aims to explore driving factors of Artificial Intelligence application for city marketing strategy with perspectives of millennials and generation Z. This study proposed the following research questions: i) how perceived place branding factor, public service factor, affective factor, immersive experience factor, cognitive factor, cost benefit factor, social networking factor, and promotional value factor affect attitude toward AI application for city marketing; and ii) how attitude affect satisfaction and prospect toward AI application for city marketing? This study conducted an online survey with the assistance of a well-known research agency and applied factor and regression analysis to test hypotheses. The results found that effects of place branding, cognitive, social networking, and promotional value affect attitude significantly in the case of millennials, while effects of public service, affective, cost benefit, social networking, and promotional value affect attitude significantly in the case of generation Z. The results found that effects of attitude on satisfaction and prospect of AI showed significance. The results provide implications and different aspects for AI application of city marketing strategy with perspectives by generations, while millennials and generation Z perceived effects of promotional value as the most significant factor for AI application of city marketing strategy.

• The Journal of Industrial Distribution & Business
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• v.15 no.5
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• pp.39-46
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• 2024

Purpose: This study seeks to address the following research questions: (1) What are the fundamental principles of sports psychology that can be applied to business leadership? (2) How can these principles enhance business leadership effectiveness? As a result, the study may evaluate the necessity and benefits of incorporating sports psychology principles into business leadership practices. Research design, data and methodology: The data collection process in this study involved a systematic Literature review approach, following the prior literature analysis guidelines by numerous past studies. This methodical approach to selecting articles can be useful in synthesizing existing literature and can be referred to as Literature review and selection. Results: The literature analysis has indicated that there is much support for assumptions underpinning business leadership modules, which can be enhanced by applying sports psychology. This topic discusses the traits of self-positivity and mental toughness, goal perspective and interpersonal relationships within a team, and visualization in a sporting organization that can be implemented in business management to support organizational performance. Conclusions: All in all, it can be concluded that organizations must consider adopting Sports Psychology principles into their Leadership Development Programs. Psychological skills development training that includes mental toughness, goal setting, team cohesion,

• Journal of East-West Nursing Research
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• v.30 no.1
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• pp.60-69
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• 2024

Purpose: This study was conducted to determine the impact of premature menopause (PM) on metabolic syndrome and its components to determine its contribution to the health of Korean women undergoing natural menopause. Methods: This study used data from the 4^th to 8^th National Health and Nutrition Examination Survey (2007~2021). A total of 11,989 women aged 30 to 65 who responded to questions about their current menstrual status, natural menopause status and its age. Complex sample multivariate Cox proportional hazards regression analysis was used. Results: Compared with women with late menopause, women with PM had a 1.34 times higher risk of developing metabolic syndrome. Excluding the risk of high blood pressure, women with PM had a significantly higher risks of increased waist circumference, decreased high-density lipoprotein, increased risk of high triglycerides, and increased fasting blood glucose. Conclusions: The results of this study provided data that can be applied to policies or interventions to prevent or manage metabolic syndrome in women with PM in Korea.

• Journal of the Korean Society of Physical Medicine
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• v.19 no.1
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• pp.143-154
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• 2024

PURPOSE: The present study was conducted to improve the understanding of the Korean Standard Functional, Disability, and Health Classification (KCF) and its ease of use in the clinical domain of the musculoskeletal system by comparing, analyzing, and linking the KCF codes with items from patient-reported outcome measures (PROMs), which are currently mainly used to evaluate patients with neck, shoulder, waist, and knee pain. METHODS: The items of the most widely used PROMs, the Neck Disability Index (NDI), Disabilities of the Arm, Shoulder, and Hand (DASH) scores, Oswestry Disability Index (ODI), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the codes of the KCF were linked by two experts according to the linking rules. RESULTS: The concordance between the items of each of the PROMs and the KCF code linked by the two experts was NDI,86.4%86.4%, DASH 83.3%, ODI 92.0%, and WOMAC 80.7%. The NDI, DASH, and WOMAC indexes were found to comprise items corresponding to physical function, activity, and participation areas, and were linked to 22, 43, and 31 KCF codes, respectively. In addition to these two areas, the ODI included items related to environmental factors and was linked to 25 codes (duplicated codes are treated as one). CONCLUSION: This research can be used by adding the KCF code to the questions of the currently used evaluation tool. This coding can be easily applied and will contribute to the easy understanding of the KCF.

• Journal of Information Processing Systems
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• v.20 no.3
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• pp.317-327
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• 2024

Along with the rapid development of the database technology, as well as the widespread application of the database management systems are more and more large. Now the data mining technology has already been applied in scientific research, financial investment, market marketing, insurance and medical health and so on, and obtains widespread application. We discuss data mining technology and analyze the questions of it. Therefore, the research in a new data mining method has important significance. Some literatures did not consider the differences between attributes, leading to redundancy when constructing concept lattices. The paper proposes a new method of uncertain data mining based on the concept lattice of connotation difference degree (c_diff). The method defines the two rules. The construction of a concept lattice can be accelerated by excluding attributes with poor discriminative power from the process. There is also a new technique of calculating c_diff, which does not scan the full database on each layer, therefore reducing the number of database scans. The experimental outcomes present that the proposed method can save considerable time and improve the accuracy of the data mining compared with U-Apriori algorithm.

• Korean Journal of Occupational Health Nursing
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• v.33 no.3
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• pp.95-108
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• 2024

Purpose: This study aimed to develop a tool to measure the job stress of nursing managers in small and medium-sized hospitals and to evaluate its reliability and validity. Methods: DeVellis' eight steps scale development process was applied. The initial questions were developed through a literature review and in-depth interviews, and content validity was evaluated by 13 experts. Data were collected from 193 nursing managers at small and medium-sized hospitals in Korea, 193 through exploratory factor analysis (EFA), and 192 through confirmatory factor analysis (CFA). Results: The scale consisted of 27 final items and seven factors, with a total variance of 66.76%. The CFA results were x² =642.56, p<.001, GFI=.80, CFI=.92, and Cronbach's ⍺ for the overall scale was .82. Conclusion: The scale showed satisfactory validity and reliability, confirming its potential to become an appropriate tool for measuring the job stress of nursing managers in small and medium-sized hospitals.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1522-1534
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• 2008

The subjects of ttis study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of image preference in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, clothing image preference is categorized as three types: fashionable and urbane image, elegant and formal image, comfortable and active image. It has also been found that middle-aged and older women think the clothing that projects fashionable and urbane image needs more improvement that those for other images. To review demands for the clothing image preference attribute of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. In reflecting clothing image preference by consumers for their formal two-piece suits, the most important design elements related to material in order of importance were material type, style, thickness and texture, and those related to color were the number of colors used and coloring type.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1509-1521
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• 2008

The subjects of this study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of apparel quality in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, apparel product quality is composed of five parameters: practicality, aesthetics, brand image, ease of care and fit. For the parameters of apparel product quality, the result of this study show that product improvements are needed in fit, aesthetics and practicality(in order of importance). The level of satisfaction(how satisfied consumer feels) was marked higher in brand image than that of importance(how important it is). To review demands for the apparel product attributes of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. Material was the most important design element in designing formal suits. The shape of the pants was the second because the harmony between the jacket and the pants is important in formal suits. These were followed by trim and color tone of the jacket.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.195-203
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• 2016

This paper, which was performed for an environmental analysis step in the information strategy planning, proposes the capable method of building a foundation which can improve the quality of results. An existing environment analyzing method is composed with external environment analysis, internal capacity analysis and information direction deriving activity. At the first stage of environment analysis, with current state analysis, preparation of interview with major stakeholder of project, carrying out the interview, added the activities to gain initial direction of the information. Then it applied a key-questioning of convergence scenario-based analysis for external environment analysis and internal capacity analysis. Performing the external environment analysis and internal capacity analysis with analysis model, convergence application of scenario-based analysis model was enabled to verify information direction on the initial setting. The result was applied at actual project site and was enabled to perform the project quickly, and to improve the quality of project results.