• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.114-121
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• 2019

This study examined the Knowledge of Elementary School Teachers Regarding in ADHD Children Education of ADHD children education for 297 elementary school teachers. The knowledge of ADHD children in inclusive education was made through a questionnaire composed of four areas: attitude, burden, efficacy, and promotional conditions on ADHD children. The collected questionnaire was calculated using technical statistics from the SPSS (WIN 22.0) for frequency and percentage. The results of this study are as follows: First, the teachers of general elementary schools are trying to include education of ADHD children. Second, in the burden of general elementary school teachers on ADHD children education, ADHD children showed interruption of learning, interruption of positive learning atmosphere, interruption of order maintenance of general classroom and teacher's class progress. Third, in the efficacy of general elementary school teachers on ADHD children, they did not have the Knowledge of ADHD symptoms, diagnosis and evaluation of ADHD children, teaching ability for ADHD children education, and ability to deal with ADHD children's behavior. Fourth, in the promotion condition of school for ADHD child education, it was found that there was no connection with external institutions for the support of professional manpower for ADHD children and ADHD child supports.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.405-408
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• 2016

Games like Go, Chess, Janggi have helped to brain development of the people. These games are developed by computer program. And many algorithms have been developed to allow myself to play. The person winning chess program was developed in the 1990s. But game of go is too large number of cases. So it was considered impossible to win professional go player. However, with the use of MCTS(Monte Carlo Tree Search) and CNN(Convolutional Neural Network), the performance of the go algorithm is greatly improved. In this paper, using CNN and MCTS were proceeding development of go algorithm. Using the manual of go learning CNN look for the best position, MCTS calculates the win probability in the game to proceed with simulation. In addition, extract pattern information of go using existing manual of go, plans to improve speed and performance by using it. This method is showed a better performance than general go algorithm. Also if it is receiving sufficient computing power, it seems to be even more improved performance.

• Journal of Korean Elementary Science Education
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• v.38 no.3
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• pp.317-330
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• 2019

The purpose of this study is to investigate the influences of science leading schools on primary and middle school students' positive experiences about science (PES) through in-depth interviews with teachers in charge of science leading schools. Science leading schools at the primary and middle school level such as Creative Convergent Science Labs and Student Participatory Science Classes were investigated and 11 teachers were participated in focus group interviews. Teacher in-depth interviews were conducted to explore the factors that led to the effectiveness of science leading schools in improving the student's PES in light of operational characteristics of science leading schools, characteristic factors of science leading schools on students PES, and improvement plans and requirements of science leading schools, as well as implications for general high schools. Science leading schools including Creative Convergent Science Labs and Student Participatory Science Classes applied for the leading school funding to secure supplies, equipments, and lab improvement for authentic science classes. In addition, reconstructed the curriculum more broadly than before, and emphasized and expanded student participatory classes and process-centered assessment at the teacher learning community level. Through student-participatory classes, the science leading schools stimulate students' interest in science, provide students with PES) through various instructions including projects, engage students in interesting science experiences in Creative Convergent Science Labs, and enhance inquiry skills and PES as well as science content knowledge. Based on the results, ways to spread the characteristics of science leading schools to general schools are suggested including expanding budget support, securing the space of science labs and improving spatial composition, providing diverse teaching and learning materials, diversifying assessment subjects and methods, and the necessity of teachers' continuous professional development, etc.

• Informatization Policy
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• v.27 no.4
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• pp.47-66
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• 2020

The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.91-100
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• 2022

To support early intervention, it is necessary to develop programming system tools that enable accurate, valid, and reliable assessments and can help achieve reasonable, generalizable, and measurable goals. This study examined the Assessment, Evaluation, and Programming System (AEPS) used by associations of children with disabilities in Saudi Arabia to assess its suitability for children with intellectual disabilities. A group of 16 specialists with different professional backgrounds (including special education, physiotherapy, occupational therapy, speech therapy and psychology) from 11 associations of children with disabilities took part in semi-structured personal interviews. The study concluded that AEPS is generally suited for use with children with intellectual disabilities. However, its suitability depends on the type and severity of the child's disability. The more severe the disability, the less effective the AEPS is likely to be. On the basis of this finding the researchers formed interdisciplinary teams to organise and integrate the children's learning and assess the benefits of AEPS, including its accuracy and ability to achieve adaptive, cognitive, and social targets, enhance family engagement and learning and develop basic development skills. This study also identified obstacles associated with the use of AEPS. These include the lack of comprehensiveness and accuracy of the goal, lack of precision and non-applicability to large movements and the fact that it cannot be used with all children with intellectual disabilities. In addition, the research showed that non-cooperation within the family is a major obstacle to the implementation of the AEPS. The results of this study have several implications.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.431-441
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• 2023

In a good class, the elements that make up the class are organically related as a system. The goal of the class is to foster the ability of students to fully understand the educational content of the subject and then apply it to their professional areas. Therefore, for ideal classes, it is necessary to design students to acquire the necessary theories and apply them practically. The question We always ask ourselves during lectures is how to effectively give large-scale lectures for students. This is also the concern of all professors in charge of large-scale lectures opened across various major fields. Now is the time to find ways to effectively give lectures on a large scale. We studied how it is most effective to design and implement various factors such as lectures, presentation and group organization, assignment, group presentation, professor's group presentation guidance, lecture materials posting, questions and answers, group presentation feedback, final report writing, and grade calculation.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.117-125
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• 2024

The research purpose outlined emphasizes the growing need for systematic and professional disaster education for nurses and nursing students, driven by the increasing occurrence of natural and large-scale social disasters. The study, a systematic literature review, analyzed the effects of educational interventions in disaster education targeting this demographic. The research method involved a literature search in major Korean databases using keywords related to disaster, education programs, and simulations. The findings highlighted that most programs utilized a combination of theoretical lectures, simulations, and debriefing methods, with intervention times ranging from less than 2 hours to between 40 and 56 hours. The primary outcomes measured were disaster nursing preparedness and performance abilities, with the programs showing positive effects on variables such as disaster nursing readiness, performance ability, attitude, knowledge, awareness, learning self-efficacy, practice satisfaction, and confidence in disaster nursing. The study suggests the importance of designing programs that offer participants realistic learning experiences through diverse intervention times and methods and emphasizes the need to verify the effectiveness of these programs.

• Convergence Security Journal
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• v.24 no.2
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• pp.9-17
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• 2024

This paper examines the security threats to enterprise Generative Artificial Intelligence systems and proposes countermeasures. As AI systems handle vast amounts of data to gain a competitive edge, security threats targeting AI systems are rapidly increasing. Since AI security threats have distinct characteristics compared to traditional human-oriented cybersecurity threats, establishing an AI-specific response system is urgent. This study analyzes the importance of AI system security, identifies key threat factors, and suggests technical and managerial countermeasures. Firstly, it proposes strengthening the security of IT infrastructure where AI systems operate and enhancing AI model robustness by utilizing defensive techniques such as adversarial learning and model quantization. Additionally, it presents an AI security system design that detects anomalies in AI query-response processes to identify insider threats. Furthermore, it emphasizes the establishment of change control and audit frameworks to prevent AI model leakage by adopting the cyber kill chain concept. As AI technology evolves rapidly, by focusing on AI model and data security, insider threat detection, and professional workforce development, companies can improve their digital competitiveness through secure and reliable AI utilization.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.259-270
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• 2024

This paper introduces a fundamental investigation into the establishment of a framework for integrating fieldwork into special education teacher preparation programs. This paper introduces a comprehensive framework for the implementation of semester-based practicum systems in special education teacher training programs. The paper delineates essential stages including preparation, adaptation, responsibility readiness, mutual responsibility, and evaluation, emphasizing the importance of collaboration, hands-on training, and feedback interactions. Moreover, the study delves into practical learning frameworks such as the Experiential Learning Model, Sociocultural Theory, and the Apprenticeship of Observation Model. It highlights their significance in connecting theoretical concepts with practical applications and in cultivating reflective practices among pre-service special education teachers. Moreover, the study explores two significant practicum models, namely the Class-Academy Model and the Professional Development Schools (PDS) Model, examining their elements, advantages, and impacts on teacher education programs. The paper provides valuable insights into improving the preparation of special education teachers by incorporating structured practicum experiences and innovative models that blend theoretical knowledge with practical application.

• The Journal of Special Children Education
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• v.21 no.4
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• pp.23-42
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• 2019

Purpose: This study looks at the practical aspects of the operation of innovative schools in special education and proposes practical measures for community education of learning and practice. Methods: Eight teachers of A Special School in B district who are operating innovation school were interviewed in depth, and related data were collected and examined. Results:. A Special School was a major project of the Innovation School: (1) establishing a democratic school operating system, (2) establishing an ethical life community, (3) forming a professional learning community, (4) practicing creative curriculum preparation and operating education. Conclusion: Special teachers participating in innovation schools cannot change all the major tasks of education in a year, and it is important to know that it is important to implement these tasks slowly and steadily together. Only when long hours of effort with school members and the support of the education office continue to be accompanied will the effectiveness of innovation schools be revealed, and more so in special education.