• Communications of Mathematical Education
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• v.36 no.1
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• pp.1-21
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• 2022

The purpose of this study is to analyze the current situation of EduTech, which is proposed as a way to build a flexible learning environment regardless of time and place according to the use of digital technology in mathematics subjects. The process of designing classes to use the EduTech platform, which is still in the development introduction stage, in public education is still difficult, and research to observe its effects and characteristics is also in its early stages. However, in the stage of preparing for future education, it is a meaningful process to grasp the current situation and point out the direction in preparation for the future in which EduTech will be actively applied to education. Accordingly, the current situation and utilization trends of EduTech at home and abroad were confirmed, and the functions and roles of EduTech platforms used in mathematics were analyzed. As a result of the analysis, the EduTech platform was pursuing learners' self-directed learning by constructing its functions so that they could be useful for individual learning of learners in hierarchical mathematics education. In addition, we have confirmed that the platform is evolving to be useful for teachers' work reduction, suitable activities, and evaluations learning management. Therefore, it is necessary to implement instructional design and individual customized learning support measures for students that can efficiently utilize these platforms in the future.

• Convergence Security Journal
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• v.24 no.1
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• pp.43-49
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• 2024

The convergence of education and technology has been emphasized, leading to the application of educational technology (EdTech) in the field of education. EdTech provides learner-centered, customized learning environments through various media and learning situations. In this paper, we designed hardware for EdTech-based educational tools for IoT security education in the field of cybersecurity education. The hardware is based on a dual microcontroller unit (MCU) within a single board, allowing for both attack and defense to be performed. To leverage various sensors in the Internet of Things (IoT), the hardware is modularly designed. From an educational perspective, utilizing EdTech in cybersecurity education enhances engagement by incorporating tangible physical teaching aids. The proposed research suggests that the design of IoT security education hardware can serve as a reference for simplifying the creation of a security education environment for embedded hardware, software, sensor networks, and other areas that are challenging to address in traditional education..

• Korean Journal of Comparative Education
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• v.27 no.1
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• pp.77-96
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• 2017

This study seeks to examine current status and issues on primary education environment and teachers in Cambodia, a country that has a poor education environment and low educational achievement I analysed the features and limitation of education. Major findings revealed the primary school students' low accessibility on education and poor competencies and qualification of primary school teachers, which have hindered a quality of education in Cambodia. Central implications were produced to improve the quality of education and training system for primary school teachers. First, sustainability should be embedded from the initial design to the performance evaluation of the projects. Second, we should carry forward a customized training project that can meet the needs of primary school teachers in Cambodia. Third, the Education ODA project should be institutionalized into the national mechanism of the credit accreditation system, including the incentives of participating. Fourth, in-service training should ensure the inclusiveness and accessibility for the disadvantaged in remote areas. Fifth, short-term workshops for teachers should be avoided, but intensive programs including mentoring should be expanded. Finally, we should support the establishment of autonomous teacher- learning communities based on school level across the Cambodia, which could establish the social capital of the teaching profession in a long term.

• (The) Research of the performance art and culture
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• no.36
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• pp.327-363
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• 2018

This paper tracks the present state of the Gugak educational programs run by Gugak-specialized museums including Museum of Gugak not only to set a directionality of Museum of Gugak to step forward for their main purposes, but also to find measures to invigorate its Gugak educational programs. There are 826 museums registered in 2016 nationwide, and ten of them are Gugak-specialized museums including Museum of Gugak. An analysis of the educational programs by Museum of Gugak presents high achievements in concentrativeness, participation and satisfaction levels. However, several issues such as difficulty level adjustment, education period arrangement, contents development, setting of a precise aim of education, and overcoming of regional limitations are to be solved in the future. Considering these special circumstances, the study suggests setting a directionality of Gugak education by following four conditions: Firtly, the Gugak education programs by Museum of Gugak should be user-oriented. Secondly, it is necessary to provide customized learning programs to suit users of various ages and generations. Thirdly, a solid education is required to enhance creativity deviating from uniform, unilateral, fragmentary education focused on materials and relics of museums as the users' experiences and learning levels vary. Fourthly, integrated education with relevant study in common use is required as the specialized environments of the museum could cause users psychological resistance and lessen their willingness to approach. Focusing on these four conditions several invigoration measures for the Gugak education programs are discussed: Firstly, a step-by-step approach, not a radical shift, is required in order to turn existing programs into the user-oriented. Secondly, customized learning programs should be planned in consideration of life cycle of the users. Thirdly, it is necessary to establish virtuous circulation reflecting activity-based contents as well as to provide the users experiences through five senses for solid Gugak education, in which various elements such as experiencing, learning, playing, viewing are reflected manifoldly. Fourthly, integrated education can be implemented when the features of Gugak educational programs are internally structured and the external environment matures.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.5
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• pp.1119-1127
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• 2018

Most of the cyber attacks are caused by malicious codes. The damage caused by cyber attacks are gradually expanded to IoT and CPS, which is not limited to cyberspace but a serious threat to real life. Accordingly, various malicious code analysis techniques have been appeared. Dynamic analysis have been widely used to easily identify the resulting malicious behavior, but are struggling with an increase in Anti-VM malware that is not working in VM environment detection. On the other hand, static analysis has difficulties in analysis due to various packing techniques. In this paper, we proposed malware classification techniques regardless of known packers or unknown packers through the proposed model. To do this, we designed a model of supervised learning and unsupervised learning for the features that can be used in the PE structure, and conducted the results verification through 98,000 samples. It is expected that accurate analysis will be possible through customized analysis technology for each class.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.3
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• pp.59-70
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• 2021

With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.155-178
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• 2021

In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.241-251
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• 2022

Diagnosis and management of customer's skin condition is an important essential function in the cosmetics and beauty industry. As the social media environment spreads and generalizes to all fields of society, the interaction of questions and answers to various and delicate concerns and requirements regarding the diagnosis and management of skin conditions is being actively dealt with in the social media community. However, since social media information is very diverse and atypical big data, an intelligent skin condition diagnosis system that combines appropriate skin condition information analysis and artificial intelligence technology is necessary. In this paper, we developed the skin condition diagnosis system SCDIS to intelligently diagnose and manage the skin condition of customers by processing the text analysis information of social media into learning data. In SCDIS, an artificial neural network model, AnnTFIDF, that automatically diagnoses skin condition types using artificial neural network technology, a deep learning machine learning method, was built up and used. The performance of the artificial neural network model AnnTFIDF was analyzed using test sample data, and the accuracy of the skin condition type diagnosis prediction value showed a high performance of about 95%. Through the experimental and performance analysis results of this paper, SCDIS can be evaluated as an intelligent tool that can be used efficiently in the skin condition analysis and diagnosis management process in the cosmetic and beauty industry. And this study can be used as a basic research to solve the new technology trend, customized cosmetics manufacturing and consumer-oriented beauty industry technology demand.

• Human Ecology Research
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• v.54 no.1
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• pp.1-11
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• 2016

This study developed and evaluated a Seoul National University literacy program for multicultural family children (SNU-LPMFC). The program was developed to enhance Korean language ability for children from multicultural backgrounds. The characteristics of this program were education using fairy tales and nursery rhymes, individual education from home visiting teacher, and parent participation education for effective children's learning support. The effectiveness of this program was examined based on 54 young children and their mothers (34 in the experimental group and 20 in the control group). To examine the effect of SNU-LPMFC, we assessed children's literacy ability as pre-tests and post-tests as well as interviewed the home visiting teachers. After 8 weeks' field application, the experimental group exhibited higher scores than the control group in total language ability and phonology. Home visiting teachers highly praised the effectiveness of the program as the children showed a higher level of interest and attention. SNU-LPMFC was shown to be an effective program to improve multicultural family children's literacy. Implications for research and practice were discussed along with the main results of this study. This study extends the limitations of existing language education programs with uniform teaching methods, configured a customized education approach for children from multicultural families and helps develop concrete teaching material that validated its effectiveness.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.1-13
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• 2024

This study aims to provide a customized dynamic kiosk screen that considers user characteristics to cope with changes caused by increased use of kiosks. In order to optimize the screen composition according to the characteristics of the digital vulnerable group such as the visually impaired, the elderly, children, and wheelchair users, etc., users are classified into nine categories based on real-time analysis of user characteristics (wheelchair use, visual impairment, age, etc.). The kiosk screen is dynamically adjusted according to the characteristics of the user to provide efficient services. This study shows that the system communication and operation were performed in the embedded environment, and the used object detection, gait recognition, and speech recognition technologies showed accuracy of 74%, 98.9%, and 96%, respectively. The proposed technology was verified for its effectiveness by implementing a prototype, and through this, this study showed the possibility of reducing the digital gap and providing user-friendly "barrier-free kiosk" services.