• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.115-121
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• 2019

The purpose of this study was to examine relation between perception on hospice and attitude toward death to provide baseline data for the development of programs for hospice or death-related education for university students. The survey was performed on 150 students in four universities in B metropolitan city. The data was collected from July 30 to August 13, 2019. Data were analyzed using descriptive analysis, t-test, ANOVA Pearson's correlation coefficient with the SPSS/WIN 26.0 program. The mean of perception on hospice score was 3.06 out of 4, of the attitude toward death, 'neutral acceptance', 'fear of death', 'death avoidance', 'approach acceptance', and 'escape acceptance' had average scores of 5.31, 3.77, 3.56, 3.15, and 3.06, respectively. There were significant differences in perception on hospice according to gender, major, and experience of hospice-related education and in attitude toward death according to gender, major, religion, subjective health status, experience of hospice-related education. The relationship between perception on hospice and neutral acceptance showed a significant positive correlation, and fear of death and death avoidance showed a significant negative correlation. Therefore, we need consider these variables to develop a hospice or death-related education program to enhance university students' attitudes to death and their perception of hospice.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.181-189
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• 2019

The purpose of this study is to derive obstacle factors to 'high value vocational training' and to suggest development strategies. The training aims to solve the quantitative and qualitative problems of female employment by providing professional training in high value areas such as ICT, SW and knowledge service. To verify the training to meet these objectives, 48 processes operated in 2018 were analyzed and field monitoring was conducted. As a result of the analysis, problems were identified and improvements were derived in terms of learners management, training course design, field practice operation, and performance evaluation. Based on these results, researchers suggested four ways to develop high value vocational training. First, select learners based on combined talent and second, strengthen the project of linking enterprises and structured field practices. Third, establish a performance evaluation system of its own and manage performance and fourth, expand support for excellent training courses and provide consulting for course development. The results of this study are expected to be used as a reference for establishing policies for high value occupational training. In the future, quantitative research should be conducted to clarify the performance and problems.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.225-235
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• 2021

The purpose of this study is to verify the mediated effect of academic failure tolerance in the influence of professor support on academic procrastination of university students. A Google survey was conducted on 211 students at D University in Gyeonggi-do, and descriptive statistics, correlation analysis, and multiple regression were conducted using the SPSS program with collected data. The mediated effect of academic failure tolerance has been verified through three stages of regression analysis (Baron and Kenny) and Sobel Test. The results of the study are as follows; First, professor support has a negative correlation with academic procrastination, and a positive correlation with academic failure tolerance. In addition, there was a negative correlation between academic failure tolerance and academic procrastination. Second, it showed that academic failure tolerance has a full mediated effect in the influence of professor support on academic procrastination. This implies that it is necessary to create an educational environment that can raise the level of professor support and academic failure tolerance of university students in the academic situation. Therefore, this study suggested the need of providing a program of professor support that can improve academic procrastination problems and strengthen the academic failure tolerance of students.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.177-186
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• 2021

The 2015 revised curriculum is structured around the core competencies of the 21st century, this is in line with the world's flow of education, such as OECD Education 2030. A future practical leading model was studied to provide a variety of creative teaching and learning experiences to elementary and Secondary students using intelligent information technology to cultivate core competencies such as ICT and computing thinking. In order for this practical model to stably settle the school field, the training was planned and operated to strengthen the creative convergence education capacity required by the teachers at the unit school through various types of the training. In particular, a nationwide administrators training program was operated for three years, reflecting the new curriculum, teaching and learning methods, and evaluation that can lead to future convergence talent training. In this paper, the perception of creative convergence education was investigated and analyzed considering the influence that administrators may have on the school field. Based on this, through the three-year operation results of the training, it was intended to establish a new training method for stable access to future creative convergence education under the post-corona era's social issues.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1195-1204
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• 2021

Recently, local torrential rain have become more frequent and severe due to abnormal climate conditions, causing a surge in human and properties damage including infrastructures along the river. In this study, water surface elevation prediction algorithm was developed using the LSTM (Long Short-term Memory) technique specialized for time series data among Machine Learning to estimate and prevent flooding of the facilities. The study area is Jamsu Bridge, the study period is 6 years (2015~2020) of June, July and August and the water surface elevation of the Jamsu Bridge after 3 hours was predicted. Input data set is composed of the water surface elevation of Jamsu Bridge (EL.m), the amount of discharge from Paldang Dam (m³/s), the tide level of Ganghwa Bridge (cm) and the number of tweets in Seoul. Complementary data were constructed by using not only structured data mainly used in precedent research but also unstructured data constructed through wordcloud, and the role of unstructured data was presented through comparison and analysis of whether or not unstructured data was used. When predicting the water surface elevation of the Jamsu Bridge, the accuracy of prediction was improved and realized that complementary data could be conservative alerts to reduce casualties. In this study, it was concluded that the use of complementary data was relatively effective in providing the user's safety and convenience of riverside infrastructure. In the future, more accurate water surface elevation prediction would be expected through the addition of types of unstructured data or detailed pre-processing of input data.

• Journal of Science Education
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• v.45 no.3
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• pp.349-363
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• 2021

The purpose of this study is to develop an instrument for school STEAM education diagnostic assessment. Literature reviews, the developmental study of a prototype instrument, experts' advices, and pilot study were administrated. The school STEAM education diagnostic assessment was consist of five areas: 'STEM education action and sustainability plan,' 'STEAM curriculum and instruction,' 'STEAM professional development,' 'process-based evaluation,' and 'community and partnerships.' Each area had one to five sub-areas. A total of 14 diagnosis items were developed, including items that can diagnose the school's STEAM environment base and STEAM education execution level at the school unit and member level for each area. The validation of the diagnostic assessment was conducted through the content validity of the expert group and the validity of a survey targeting school teachers. For applying the instrument for STEAM Education School Assessment to schools, a total of 267 elementary, middle, and high schools participated. As a result, the average of the five areas was 1.46 to 2.18. This instrument comprehensively diagnoses and evaluates the implementation and effectiveness of STEAM education in schools, and is expected to be used as basic data and core data for implementing STEAM education.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.203-211
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• 2022

This study is a descriptive research study to investigate the mediating effect of self-leadership in the relationship between metacognition and proactivity of problem solving and the effect of metacognition on proactivity of problem solving of nursing students. 194 fourth-year nursing students who experienced in-school simulation practice at a university were selected as subjects for the study. Data were collected from September to December 2021 using a structured questionnaire. The collected data were analyzed by descriptive statistics, correlations and parametric regression using the SPSS 22.0 program. It was found that metacognition and problem-solving proactiveness and self-leadership had a quantitative correlation, and it was analyzed that metacognition and self-leadership had a significant effect on problem-solving proactiveness. Also, it was found that self-leadership is partially mediated in the relationship between metacognition and problem-solving proactiveness. According to the results of this study, it is necessary to develop a program that can improve the elements of metacognition and self-leadership in order to increase the problem-solving activity of nursing students through problem-centered learning integrated simulation education.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.276-290
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• 2023

Several efforts in Korea are currently underway with the goal of commercializing autonomous vehicles. Hence, various studies are emerging on autonomous vehicles that drive safely and quickly according to operating guidelines. The current study examines the path search of an autonomous vehicle from a microscopic viewpoint and tries to prove the efficiency required by learning the lane change of an autonomous vehicle through Deep Q-Learning. A SUMO was used to achieve this purpose. The scenario was set to start with a random lane at the starting point and make a right turn through a lane change to the third lane at the destination. As a result of the study, the analysis was divided into simulation-based lane change and simulation-based lane change applied with Deep Q-Learning. The average traffic speed was improved by about 40% in the case of simulation with Deep Q-Learning applied, compared to the case without application, and the average waiting time was reduced by about 2 seconds and the average queue length by about 2.3 vehicles.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.2
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• pp.104-108
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• 2023

Because of recent expansion of the electric car market. it is highly growing that should be supplemented its performance and safely issue. The EMI problem due to the interlocking of electrical components that causes various safety problems such as fire in electric vehicles is emerging every time. We strive to achieve optimal charging efficiency by combining various technologies and reduce radioactive noise among the EMI noise of a weirless charging control module, one of the important parts of an electric vehicle was designed and tested. In order to analyze the EMI problems occurring in the wireless charging control module, the optimized wireless charging control module by applying the optimization design technology by learning the accumulated test data for critical factors by utilizing the Python-based script function in the Ansys simulation tool. It showed an EMI noise improvement effect of 25 dBu V/m compared to the charge control module. These results not only contribute to the development of a more stable and reliable weirless charging function in electric vehicles, but also increase the usability and efficiency of electric vehicles. This allows electric vehicles to be more usable and efficient, making them an environmentally friendly alternative.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.160-172
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• 2023

The metaverse, derived from the fusion of "meta" and "universe," encompasses a three-dimensional virtual realm where avatars actively participate in a range of political, economic, social, and cultural activities. With the recent development of the metaverse, the traditional way of experiencing services is changing. While existing studies have mainly focused on the technological advancements of metaverse services (e.g., scope of technological enablers, application areas of technologies), recent studies are focusing on evaluating the quality of experience (QoE) of metaverse services from a customer perspective. This is because understanding and analyzing service characteristics that determine QoE from a customer perspective is essential for designing successful metaverse services. However, relatively few studies have explored the customer-oriented approach for QoE evaluation thus far. This study conducted an online review analysis using text mining to overcome this limitation. In particular, this study analyzed 227,332 online reviews of the Roblox service, known as a representative metaverse service, and identified points for improving the Roblox service based on the analysis results. As a result of the study, nine service features that can be used for QoE evaluation of metaverse services were derived, and the importance of each feature was estimated through relationship analysis with service satisfaction. The importance estimation results identified the "co-experience" feature as the most important. These findings provide valuable insights and implications for service companies to identify their strengths and weaknesses, and provide useful insights to gain an advantage in the changing metaverse service environment.