• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1159-1172
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• 2023

Through this study, we aim to investigate the impact of job stress, self-leadership, and social support on nursing performance among nurses in long-term care hospitals. Our objective is to identify specific measures to enhance nursing performance by understanding how these factors influence overall nursing work outcomes. Participants were nurses working at long-term care hospitals in B city and G city. Data were collected with structured questionnaires from February 1 to February 25, 2018. Data were analyzed SPSS 22.0 program for descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression. Factors which had effect on nursing performance were self-leadership(β=.415, p<.001), age(β=.251, p=.001), social supports(β=.206, p<.001), job stress(β=-.159, p=.001) and position(β=.102, p=.047). We anticipate that the findings of this study, which reflects the job characteristics of nurses in long-term care hospitals, can serve as foundational data for the development of intervention programs related to nursing performance. These results can contribute to the creation of programs aimed at improving nursing outcomes in accordance with the unique work characteristics of nurses in long-term care settings.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.595-604
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• 2023

This study attempted to provide basic data for developing strategies to improve the psychosocial well-being on nursing university students by identifying the mediating effect of resilience on the relationship between clinic practice stress and psychosocial well-being of nursing university students. The subjects of the study were 175 nursing students in their 3^rd and 4^th year who had clinic practice experience at two universities in J province and G city. The SPSS/23.0 program was used to analyze the data with descriptive statistics; an independent t-test, analysis of variance ANOVA, Pearson's correlation coefficient, and mediating effect analysis were performed using Process Macro 4.0. The psychosocial well-being of nursing university students showed a positive correlation with clinical practice stress (r=.472, p<.001), and a negative correlation with resilience (r=-.860, p<.001). Resilience showed a mediating effect on the relationship between clinical practice stress and psychosocial well-being. Based on the results of this study, it is necessary to development and apply systematic programs to reduce clinical practice stress and increase resilience for improving the psychosocial well-being of nursing university students.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.347-354
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• 2023

This study is a descriptive survey research aimed at examining the relationship between nursing college students' attitudes toward child corporal punishment, their Recognition of children's rights, and their intention to report child abuse. It also seeks to identify factors influencing the intention to report child abuse. Data were collected from April 1, 2023, to June 30, 2023, using a structured questionnaire administered to 194 nursing college students. Data analysis was conducted using IBM SPSS/WIN 26.0 software and included descriptive statistics, independent t-tests, ANOVA, Scheffe's test, Pearson's correlation coefficients, and Multiple Regression analysis. The research results showed a significant negative correlation between attitudes towards child corporal punishment and awareness of children's rights, and a positive correlation between awareness of children's rights and the intention to report child abuse. Attitudes towards child corporal punishment and the intention to report child abuse collectively explained 19% of the variance in the intention to report child abuse. Therefore, it is necessary to develop educational programs that allow prospective nurses, who have a legal obligation to report child abuse, to experience cases of child abuse, enhance their sensitivity to child abuse, and improve their intention to report child abuse.

• Journal of the Korean Applied Science and Technology
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• v.40 no.5
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• pp.1176-1190
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• 2023

The purpose of this study was to clarify the attributes of the concept of clinical performance skills in simulation-based practical training and to organize them in order to establish theoretical foundations for clinical competence. The research method employed was the concept analysis process of Walker and Avant (2011). Papers related to clinical competence published between January 2000 and April 2023 were selected by searching various databases such as PubMed, CINAHL, Ovid-Medline, DBpia, KISS, and others. The attributes of clinical competence were found to be (1) the clinical competence of knowledge, judgment, and skills, (2) Adaptability to Changing Healthcare Environment (3) the ability to perform nursing roles appropriately in response to the demands of nursing subjects. This study is significant as a concept analysis study that recognizes the importance of nursing from a nursing perspective in a situation where research on clinical competence is active in simulation-based training. Based on the results of this study, it is necessary to develop training programs and tools including the attributes of clinical competence in simulation nursing education and to measure the effectiveness of the programs using them. nursing perspective in a situation where research on clinical competence is active. Based on the results of this study, it is necessary to develop training programs and tools including the attributes of clinical competence in simulation nursing education and to measure the effectiveness of the programs using them.

• Explosives and Blasting
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• v.41 no.3
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• pp.26-37
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• 2023

In order to determine the amount of explosives that can minimize the vibration generated during tunnel construction using the blasting method, it is necessary to derive the blasting vibration coefficients, K and n, by analyzing the vibration records of trial blasting in the field or under similar conditions. In this study, we aimed to develop a technique that can derive reasonable K and n when trial blasting cannot be performed. To this end, we collected full-scale trial blast data and studied how to predict the blast vibration coefficient (K, n) according to the type of explosive, center cut blasting method, rock origin and type, and rock grade using deep learning (DL). In addition, the correction value between full-scale and borehole trial blasting results was calculated to compensate for the limitations of the borehole trial blasting results and to carry out a design that aligns more closely with reality. In this study, when comparing the available explosive amount according to the borehole trial blasting result equation, the predictions from deep learning (DL) exceed 50%, and the result with the correction value is similar to other blast vibration estimation equations or about 20% more, enabling more economical design.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.5
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• pp.169-175
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• 2023

This paper analyzes museum-related big data using museums and gamification using social media big data, identifies and compares the perceptions of visitors mentioned in social media, and presents ways to use gamification. Based on the collected data, this paper aims to provide data by comparing and analyzing the perception of visitors to the museum and visitors to the museum using gamification. This paper investigates the perception of visitors through social media analysis using TEXTOM, a social media analysis tool, to identify differences in perception. As a result of the analysis, it was found that compared to museums that were previously viewed in the form of exhibitions, they felt fun and interest in visiting museums using geikipication. In addition, based on the analysis results of keywords and related keywords, the perception, motivation, and type of viewing of the museum of the National Museum of Korea and the Independence Hall of Korea were confirmed. In addition, it can be seen that the sense of achievement of visitors who visited the museum using gamification is higher than that of the existing museum. It is believed that by developing and activating game-related content in future museum visits, many visitors will be able to increase their interest in the museum and feel fun and interested. The results of the study are believed to be meaningful as basic data to grasp the overall perception of visitors to the museum, and based on this, it is expected that visitors will be able to see and experience the museum in various ways.

• Science of Emotion and Sensibility
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• v.26 no.3
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• pp.115-128
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• 2023

This study examines the effects of a new app-based intervention program for conversational skills of children with high-functioning autism spectrum disorder (ASD). Participants in this study comprised 26 children diagnosed with autism, Asperger's syndrome, or pervasive developmental disorder-not otherwise specified (PDD-NOS). Participants were randomly assigned into a treatment group or a control group according to their ages, IQ, SCQ, and ASSQ scores. The treatment group met with teachers once a week for a single non-face-to-face class for nine weeks, along with conversation training at home using an app. The control group did not participate in any specific programs for conversational skills. Conversation data of all participants were collected before and after the intervention to compare the two groups based on changes in the conversational turn-taking and topic manipulation skills. When analyzed with respect to a Group X Period analysis of variance (ANOVA), the data indicated maintenance on the rate of appropriate listener's verbal responses in the treatment group, whereas the rate of inappropriate listener's verbal response significantly declined in the control group. In addition, the rate of conversation initiation and maintenance and the rate of appropriate initiation improved in the treatment group, whereas the rate of inappropriate initiation declined in this group. Overall, the study demonstrates promising effects of the novel App-based digital intervention on verbal conversational skills in children with high function ASD.

• Information Systems Review
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• v.22 no.2
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• pp.77-99
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• 2020

Smart speaker is a device that provides an interactive voice-based service that can search and use various information and contents such as music, calendar, weather, and merchandise using artificial intelligence. Since AI technology provides more sophisticated and optimized services to users by accumulating data, early smart speaker manufacturers tried to build a platform through aggressive marketing. However, the frequency of using smart speakers is less than once a month, accounting for more than one third of the total, and user satisfaction is only 49%. Accordingly, the necessity of strengthening the user experience of smart speakers has emerged in order to acquire a large number of users and to enable continuous use. Therefore, this study analyzes the user experience of the smart speaker and proposes a method for enhancing the user experience of the smart speaker. Based on the analysis results in two stages, we propose ways to enhance the user experience of smart speakers by model. The existing research on the user experience of the smart speaker was mainly conducted by survey and interview-based research, whereas this study collected the actual review data written by the user. Also, this study interpreted the analysis result based on the smart speaker user experience dimension. There is an academic significance in interpreting the text mining results by developing the smart speaker user experience dimension. Based on the results of this study, we can suggest strategies for enhancing the user experience to smart speaker manufacturers.

• Journal of the Korean Applied Science and Technology
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• v.40 no.6
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• pp.1521-1532
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• 2023

This study was done to identify the face-to-face and non-face-to-face student counseling experiences of nursing students during the COVID-19 period. Data were collected through interviews with 10 students at S Women's University in Gyeonggi-do from December 2022 to April 2023. All recorded data were analyzed using an inductive content analysis method. As a result of the study, two themes, four categories, and eight subcategories were found. Themes were 'factors promoting counseling' and 'Non-facilitating factors in counseling'. The first theme category was 'adaptation to new counseling methods' and 'pursuing convenience as the MZ generation', and the second theme category was 'resistance to counselling' and 'discrepancy from the desire for mutual relationships'. Through this study, it was helpful to understand that student counseling is essential for nursing students and what the most appropriate and useful counseling method is. Additionally, this study provided important evidence to lay the foundation for comparative research on face-to-face and non-face-to-face counseling among research participants according to gender and major. Further suggests research to develop a student counseling program for nursing students and confirm its effectiveness.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.259-265
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• 2024

In order to improve the SW convergence capabilities of university undergraduate students, methods to evaluate undergraduate students' code design capabilities should be researched along with the development of related courses. In previous studies, there were qualitative evaluation methods and quantitative relative evaluation methods for code results. In the quantitative relative evaluation method, the number of problem decomposition depth, number of function reuses, and number of functions were measured and evaluated. In this study, an evaluation method that was not presented in previous studies was proposed using the problem of presenting the number of input and output information types when designing code. The evaluation problems proposed in this paper applied up to three types of input information and three types of output information. Through this, five code design evaluation questions were presented and a method to quantitatively calculate code design scores was proposed. Codes from 100 student respondents were collected and analyzed through courses that applied the proposed evaluation method. Through result analysis, the number of problem decomposition depths was proportional to the number of types of input information, the number of function reuses was proportional to the number of types of output information, and the number of functions showed a correlation that was proportional to the total number of types of input and output information. Lastly, by analyzing the distribution of evaluation scores of 100 respondents, we demonstrated that the code design evaluation method according to the five input/output information condition evaluation problems is effective.