• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.285-294
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• 2024

This study aims to enhance learners' creative and integrative thinking through the use of a practical music education program, facilitating high-quality artistic activities and the integration of various disciplines. To achieve this, a practical music education program incorporating the PDIE model was designed, and the content validity of the developed program was verified. Through this process, We have researched and described methodologies for multidisciplinary research that can be applied in practical music education. This paper focuses on the fourth session of the study, which deals with the creative and integrative education of practical music and mathematics. The mathematical theory of interest in this research is the Fibonacci sequence, fundamental to the golden ratio in art. The goal is to enable balanced and high-quality creative activities through learning and applying the Fibonacci sequence. Additionally, to verify the validity and effectiveness of the instructional plan, including the one used in the 15-week course, we have detailed the participants involved in the content validation, the procedures of the research, the research tools used, and the methods for collecting and analyzing various data. Through this, We have confirmed the potential of creative and integrative education in higher practical music education and sought to develop educational methodologies for cultivating various creative talents in subsequent research.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.373-381
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• 2024

We confirmed that the children affected by child abuse, which has recently become an issue in the counseling field, were the highest in the ages of 10-17, and the number of occurrences by parents was the highest. We tried to understand the hardships of parents with adolescent children while conducting counseling and parental education to understand the difficulties of parenting experiences that play an important role in growing children. Therefore, this study attempted to analyze the subjective perception types and characteristics of each type of parenting experience of parents with adolescent children using the Q methodology. After forming a Q population and extracting the 33-question statement of the Q sample, the P sample was classified into the Q sample of 35 parents with adolescent children, and the perception type analysis was conducted with the QUANL program. As a result of our study, it was found that Type 1 was the unconditional love and understanding type, which was recognized as a process of endless understanding of children, Type 2 was the "reflection and change type," which recognizes empathy with children, communication, and parental reflection and change, Type 3 was the "learning and psychological independence assistance type," which recognizes that children should be psychologically independent and grow, and Type 4 was the "regret and identity confusion type," which recognizes regret about raising children in childhood and identity confusion as parents. Our study is meaningful in that it classified the subjective perception structure of parenting experiences perceived by parents with adolescent children by type. It is expected that this subjectivity study on parenting experiences will be used as basic data for parental education and parental counseling to raise adolescent children.

• The Journal of Bigdata
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• v.8 no.2
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• pp.73-82
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• 2023

With 78% of current fisheries workers being elderly, there's a pressing need to address labor shortages. Consequently, active research on smart aquaculture technologies, centered on object detection and tracking algorithms, is underway. These technologies allow for fish size analysis and behavior pattern forecasting, facilitating the development of real-time monitoring and automated systems. Our study utilized video data from cameras outside aquaculture facilities and implemented fish detection and tracking algorithms. We aimed to tackle high maintenance costs due to underwater conditions and camera corrosion from ammonia and pH levels. We evaluated the performance of a real-time system using YOLOv7 for fish detection and the SORT algorithm for movement tracking. YOLOv7 results demonstrated a trade-off between Recall and Precision, minimizing false detections from lighting, water currents, and shadows. Effective tracking was ascertained through re-identification. This research holds promise for enhancing smart aquaculture's operational efficiency and improving fishery facility management.

• Journal of Science Education
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• v.48 no.2
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• pp.75-90
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• 2024

Contemporary society faces increasingly diverse risks with expanding impacts. In response, the importance of science education has become more prominent. This study aims to analyze the characteristics of existing research on science-related risk education and derives implications for such education. Using detailed bibliometric analysis, we collected citation data from 83 international scholarly journals (SSCI) in the field of education indexed in the Web of Science with the keywords 'Scientific Risk.' Subsequently, using the bibliometrix package in R-Studio, we conducted a bibliometric analysis. The findings are as follows. Firstly, research on risk education covers topics such as risk literacy, the structure of risks addressed in science education, and the application and effectiveness of incorporating risk cases into educational practices. Secondly, a significant portion of research on risks related to science education has been conducted within the framework of socioscientific issues (SSI) education. Thirdly, it was observed that research on risks related to science education primarily focuses on the transmission of scientific knowledge, with many studies examining formal education settings such as curricula and school learning environments. These findings imply several key points. Firstly, to effectively address risks in contemporary society, the scope of risk education should extend beyond topics such as nuclear energy and climate change to encompass broader issues like environmental pollution, AI, and various aspects of daily life. Secondly, there is a need to reexamine and further research topics explored in the context of SSI education within the framework of risk education. Thirdly, it is necessary to analyze not only risk perception but also risk assessment and risk management. Lastly, there is a need for research on implementing risk education practices in informal educational settings, such as science museums and media.

• Korean Journal of Cognitive Science
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• v.35 no.3
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• pp.187-203
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• 2024

Evaluation activities are beneficial for learning or training. However, they are not actively used due to concerns about the evaluation accuracy of non-experts. Although there are methods to improve accuracy, there is a limitation that additional procedures or processes are required in addition to evaluation. In this study, we aimed to improve evaluation accuracy of non-expert by using common evaluation items and assigning weights based on differences from expert scores. In Study 1, we conducted a simulation with 50 non-experts evaluating essays. Our findings indicate that when non-experts' evaluation methods are different from those of experts, our proposed method using a single common evaluation item improves assessment accuracy. In Study 2, we analyzed data from experimental situation in which non-expert evaluated each other's essays. Consistent with Study 1, our proposed method effectively improved assessment accuracy when non-experts' evaluation methods differed from those of experts. In the discussion section, we addressed the applicability of the method proposed in this study in real world settings.

• Journal of Korean Home Economics Education Association
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• v.36 no.2
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• pp.101-117
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• 2024

The aim of this study is to identify the competencies required for fashion-related majors that meet contemporary demands, align with the objectives of university education, and reflect the qualities desired in graduates. To achieve this goal, we conducted content analysis of relevant data and in-depth interviews with experts. First, the content analysis involved coding key information from the introductions, educational goals, desired qualities of graduates, and curricula published on the websites of both South Korea and international fashion-related universities. Additionally, we analyzed the National Competency Standards (NCS) and the Meta-goals of higher education programs set by the International Textile Apparel Association (ITAA), extracting six core competencies. Second, in-depth interviews were conducted with six experts, each with 23 to 31 years of experience in Korean and international apparel industry and academia. The interviews were recorded, transcribed, and keywords were extracted. To ensure the validity of the coding results, cross-checks were performed among the researchers. The analysis identified the following competencies: empathic communication, social responsibility, professional thinking, creative and integrative thinking, global perspective, and challenging leadership. Based on these findings, establishing competencies that meet contemporary demands and developing corresponding curricula are essential steps towards creating a feedback system. Future research should focus on developing and implementing curricula that foster a virtuous cycle, ultimately enhancing students' competency levels.

• Journal of the Korean Society of Earth Science Education
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• v.17 no.2
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• pp.181-193
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• 2024

Summative assessment provides information on how well students have achieved learning objectives, making the development of high-quality assessment items essential for accurate evaluation. This is one of the competencies that teachers must possess. This study aims to analyze summative assessment items created by pre-service elementary teachers, examining their intentions and the difficulties encountered in the item development process. The study involved 45 second-year students enrolled in an elementary teacher training university. They were grouped into teams of three and tasked with developing ten items, documenting the purpose of each item, the answer key, and the challenges faced during item creation. The collected summative assessment items were analyzed using a two-dimensional purpose classification table that includes Klopfer's taxonomy of educational objectives. The intentions behind the summative assessments and the difficulties faced during item development were inductively organized and analyzed through qualitative data analysis. The results revealed that pre-service elementary teachers adequately reflected scientific content elements but did not evenly cover assessment domains. The most challenging aspect for them was adjusting the difficulty level. Although they considered most factors that should be taken into account during item development, these considerations were not reflected in the actual items. These findings suggest that knowledge and experience are crucial in developing summative assessment items, and systematic lectures are necessary for pre-service elementary teachers.

• Journal of Internet of Things and Convergence
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• v.10 no.3
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• pp.57-64
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• 2024

In this paper, we propose a Line-of-Sight (LoS)/Non-Line-of-Sight (NLoS) identification- based Human Activity Recognition (HAR) system using Channel State Information (CSI) to improve the accuracy of HAR, which dynamically changes depending on the reception environment. to consider the reception environment of HAR system, the proposed system includes three operational phases: Preprocessing phase, Classification phase, and Activity recognition phase. In the preprocessing phase, amplitude is extracted from CSI raw data, and noise in the extracted amplitude is removed. In the Classification phase, the reception environment is categorized into LoS and NLoS. Then, based on the categorized reception environment, the HAR model is determined based on the result of the reception environment categorization. Finally, in the activity recognition phase, human actions are classified into sitting, walking, standing, and absent using the determined HAR model. To demonstrate the superiority of the proposed system, an experimental implementation was performed and the accuracy of the proposed system was compared with that of the existing HAR system. The results showed that the proposed system achieved 16.25% higher accuracy than the existing system.

• Informatization Policy
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• v.31 no.3
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• pp.3-33
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• 2024

This paper summarizes the legal problems and issues raised in relation to generative AI. In addition, we looked at what regulatory discussions individual countries or international organizations have in order to solve or respond to these issues or to minimize the risks posed by generative AI. Infringement of individual basic rights raised by generative AI, the emergence and control of new crimes, monopolization of specific markets and environmental issues are mainly discussed, and although there are some differences in the necessity and direction of regulation, most countries seem to have similar views. Regarding AI, the issues that are currently being raised have been discussed continuously from the beginning of its appearance. Although certain issues have been discussed relatively much, there are some differences between countries, and situations that require consideration of phenomena different from the past are emerging. It seems that regulations and policies are being refined according to the situation of individual countries. In a situation where various issues are rapidly emerging and changing, measures to minimize the risk of AI and to enjoy the utility and benefits of AI through the use of safe AI should be sought. It will be necessary to continuously identify and analyze international trends and reorganize AI-related regulations and detailed policies suitable for Korea.

• Journal of the Korean Society of Radiology
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• v.18 no.5
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• pp.541-549
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• 2024

The various structures of artificial neural networks, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), have been extensively studied and served as the backbone of numerous models. Among these, a transformer architecture has demonstrated its potential for natural language processing and become a subject of in-depth research. Currently, the techniques can be adapted for image processing through the modifications of its internal structure, leading to the development of Vision transformer (ViT) models. The ViTs have shown high accuracy and performance with large data-sets. This study aims to develop a ViT-based model for detecting pneumonia using chest X-ray images and quantitatively evaluate its performance. The various architectures of the ViT-based model were constructed by varying the number of encoder blocks, and different patch sizes were applied for network training. Also, the performance of the ViT-based model was compared to the CNN-based models, such as VGGNet, GoogLeNet, and ResNet. The results showed that the traninig efficiency and accuracy of the ViT-based model depended on the number of encoder blocks and the patch size, and the F1 scores of the ViT-based model ranged from 0.875 to 0.919. The training effeciency of the ViT-based model with a large patch size was superior to the CNN-based models, and the pneumonia detection accuracy of the ViT-based model was higher than that of the VGGNet. In conclusion, the ViT-based model can be potentially used for pneumonia detection using chest X-ray images, and the clinical availability of the ViT-based model would be improved by this study.