• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.123-134
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• 2021

This study was conducted for the purpose of convergence exploration of evidence-based practices for the advancement of performance analysis of the extracurricular activities at Duksung Women's University. The research method consisted of an expert meeting procedure along with a procedure for analyzing previous studies dealing with the performance analysis of the university's extracurricular activities in the field of pedagogy. The contents of this study consisted of presenting some facts that should be based on evidence for the advancement of performance analysis of the extracurricular activities after the establishment of the center for extracurricular activities in Duksung Women's University. And in practices, the development and diagnostic analysis of tools for diagnosing extracurricular customized learning capabilities, data-based multidimensional analysis (IR system), continuous monitoring analysis through extracurricular certification, and analysis based on feedback tools were presented in a convergence perspective and context. As a result of the study, the evidence-based practices for the advancement of the performance analysis of the extracurricular activities at Duksung Women's University guarantees the validity and stability of the performance evaluation and feedback system of the extracurricular activities at Duksung Women's University, and has a close influence on the extracurricular education work of other universities analyzed as possible.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.501-511
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• 2020

This study investigated and analyzed the contents of writing learning, self-evaluation of writing ability, recognition of writing ability, and recognition of writing education direction to J university students in order to analyze the perception of writing of university students and find ways to improve writing education. Through this, the improvement plan of writing education was discussed. As a result of researching and analyzing the perceptions of university students, college students perceived writing ability as important, and they wanted practical writing classes that received feedback and wrote actual writing rather than theoretical classes. In addition, it was found that they wanted to develop their ability to construct and develop the contents of the article. In order to make writing education a practical competency for college students, theoretical lectures are important, but it is necessary to give enough time and opportunity to write in practice, and to develop customized practical writing. Also, it is necessary to make writing class that students can participate through various teaching methods, and to make writing ability lead to practical competence even after graduation through the method of university graduation certification requirements. This study is meaningful in that it can seek the direction of university writing education through the recognition of college students related to writing.

• Journal of Dental Anesthesia and Pain Medicine
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• v.23 no.2
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• pp.101-110
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• 2023

Background: Dentists make various efforts to reduce patients' anxiety and fear associated with dental treatment. Dental sedation is an advanced method that dentists can perform to reduce patients' anxiety and fear and provide effective dental treatment. However, dental sedation is different from general dental treatment and requires separate learning, and if done incorrectly, can lead to serious complications. Therefore, sedation is performed by a limited number of dentists who have received specific training. This study aimed to investigate the proportion of dentists who practice sedation and the main sedatives they use in the context of the Republic of Korea. Methods: We used the customized health information data provided by the Korean National Health Insurance. We investigated the number of dental hospitals or clinics that claimed insurance for eight main sedatives commonly used in dental sedation from January, 2007 to September, 2019 at the Health Insurance Review and Assessment Service. We also identified the changes in the number of dental medical institutions by region and year and analyzed the number and proportion of dental medical institutions prescribing each sedative. Results: In 2007, 302 dental hospitals prescribed sedatives, and the number increased to 613 in 2019. In 2007, approximately 2.18% of the total 13,796 dental institutions prescribed sedatives, increasing to 3.31% in 2019. In 2007, 168 institutions (55.6%) prescribed N₂O alone, and in 2019, 510 institutions (83.1%) made claims for it. In 2007, 76 (25.1%) hospitals made claims for chloral hydrate, but the number gradually decreased, with only 29 hospitals (4.7%) prescribing it in 2019. Hospitals that prescribed a combination of N₂O, chloral hydrate, and hydroxyzine increased from 27 (8.9%) in 2007 to 51 (9%) in 2017 but decreased to 38 (6.1%) in 2019. The use of a combination of N₂O and midazolam increased from 20 hospitals (6.6%) in 2007 to 51 hospitals (8.3%) in 2019. Conclusion: While there is a critical limitation to the investigation of dental hospitals performing sedation using insurance claims data, namely exclusion of dental clinics providing non-insured treatments, we found that in 2019, approximately 3.31% of the dental clinics were practicing sedation and that N₂O was the most commonly prescribed sedative.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.371-401
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• 2022

If the blockchain means storing information in a distributed environment that cannot be forged or altered, it is mentioned that this is similar to what librarians collect, preserve, and share authoritative information. In this way, this study examined blockchain technology as a way to collect and provide reliable information, increase work efficiency inside and outside the library, and strengthen cooperative networks. This study attempted to propose various ways to utilize blockchain technology in book relations based on literature surveys and case studies in other fields. To this end, this study first analyzed the field and cases of blockchain application to confirm the possibility and value of blockchain application in the library field, and proposed 12 ways to utilize it based on this. The utilization model was proposed by dividing it into operation and service sectors. In the operation sector, it is a digital identity-based user record storage and authentication function, transparent management and traceable monitoring function, voting-based personnel and recruitment system, blockchain governance-based network efficiency function, and blockchain-based next-generation device management and information integration function. The service sector includes improved book purchase and sharing efficiency due to simplification of intermediaries, digital content copyright protection and management functions, customized service provision based on customer behavior analysis, blockchain-based online learning platforms, sharing platforms, and P2P-based reliable information sharing platforms.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.217-242
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• 2022

With the launch of Artificial Intelligence(AI)-based intelligent products on the market, innovative changes are taking place not only in business but also in consumers' daily lives. Intelligent products have the potential to realize technology differentiation and increase market competitiveness through advanced functions of artificial intelligence. However, there is no new product development methodology that can sufficiently reflect the characteristics of artificial intelligence for the purpose of developing intelligent products with high market acceptance. This study proposes a KANO-QFD integrated model as a methodology for intelligent product development. As a specific example of the empirical analysis, the types of consumer requirements for hair loss prediction and treatment device were classified, and the relative importance and priority of engineering characteristics were derived to suggest the direction of intelligent medical product development. As a result of a survey of 130 consumers, accurate prediction of future hair loss progress, future hair loss and improved future after treatment realized and viewed on a smartphone, sophisticated design, and treatment using laser and LED combined light energy were realized as attractive quality factors among the KANO categories. As a result of the analysis based on House of Quality of QFD, learning data for hair loss diagnosis and prediction, micro camera resolution for scalp scan, hair loss type classification model, customized personal account management, and hair loss progress diagnosis model were derived. This study is significant in that it presented directions for the development of artificial intelligence-based intelligent medical product that were not previously preceded.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.17-26
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• 2024

The purpose of this study is to explore the direction of the role of lifelong vocational education as a field of lifelong education based on the content analysis of the innovation plan for lifelong vocational education and training in 2018. The conclusion is as follows. First, in terms of policy orientation, the direction of lifelong vocational education is possible to carry out life-integrated lifelong vocational education in terms of lifelong education. Second, in the education and training process, lifelong education can be carried out in specific practical competency areas in terms of lifelong vocational education. Third, in the case of the education and training system, in terms of lifelong vocational education, the philosophy of lifelong education is to establish an education system that spans the entire life. Fourth, in the case of education and training programs, various programs can be operated by type of lifelong education institution in terms of lifelong vocational education. Fifth, in the case of education and training, lifelong education can be distributed evenly across life stages from the perspective of lifelong vocational education. Sixth, in terms of the relationship with the industrial sector, lifelong education can strengthen the connection with industrial demand in terms of lifelong vocational education, and it can also strengthen the connection with government agencies. Seventh, in the case of support for the underprivileged, lifelong education is viewed from the perspective of lifelong vocational education. Free education and customized support for the underprivileged are possible at provincial and provincial lifelong education institutions and city, county, and district lifelong learning centers.

• Imaging Science in Dentistry
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• v.54 no.3
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• pp.271-275
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• 2024

Purpose: Recent advancements in artificial intelligence (AI), particularly tools such as ChatGPT developed by OpenAI, a U.S.-based AI research organization, have transformed the healthcare and education sectors. This study investigated the effectiveness of ChatGPT in answering dentistry exam questions, demonstrating its potential to enhance professional practice and patient care. Materials and Methods: This study assessed the performance of ChatGPT 3.5 and 4 on U.S. dental exams - specifically, the Integrated National Board Dental Examination (INBDE), Dental Admission Test (DAT), and Advanced Dental Admission Test (ADAT) - excluding image-based questions. Using customized prompts, ChatGPT's answers were evaluated against official answer sheets. Results: ChatGPT 3.5 and 4 were tested with 253 questions from the INBDE, ADAT, and DAT exams. For the INBDE, both versions achieved 80% accuracy in knowledge-based questions and 66-69% in case history questions. In ADAT, they scored 66-83% in knowledge-based and 76% in case history questions. ChatGPT 4 excelled on the DAT, with 94% accuracy in knowledge-based questions, 57% in mathematical analysis items, and 100% in comprehension questions, surpassing ChatGPT 3.5's rates of 83%, 31%, and 82%, respectively. The difference was significant for knowledge-based questions(P=0.009). Both versions showed similar patterns in incorrect responses. Conclusion: Both ChatGPT 3.5 and 4 effectively handled knowledge-based, case history, and comprehension questions, with ChatGPT 4 being more reliable and surpassing the performance of 3.5. ChatGPT 4's perfect score in comprehension questions underscores its trainability in specific subjects. However, both versions exhibited weaker performance in mathematical analysis, suggesting this as an area for improvement.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.107-115
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• 2024

Curriculum revision is a very important process for improving students' learning achievement and abilities, responding to social needs, strengthening equality and inclusiveness, strengthening teachers' professionalism, strengthening national competitiveness, and responding to the era of globalization, and for continuous development and innovation. Through this, we can provide better educational opportunities and environments for future generations. The 2022 revised curriculum is a curriculum that reflects the knowledge and skills students need in modern society and enables them to respond to changes in industry and society. The purpose of this study is to present the direction of career education by analyzing the career education shown in the 2022 revised curriculum. If we analyze only the contents related to career education in the 2022 revised curriculum that directly mention career and occupation, the following contents are found. First, in the curriculum for future response, contents related to career education appear in the strengthening of basic digital knowledge. Second, in the field of autonomous innovation support tasks at school sites, the organization of the free semester system and improvement plans are presented among the details of the improvement of flexibility in the operation of the elementary and secondary school curriculum. Third, in the area of strengthening learner-customized education, the core of career education is strengthening career-linked education between elementary, middle and high schools. Career education is mentioned in the area of the detail itself. As such, it is no exaggeration to say that the core content of the 2022 revised curriculum is career education. The direction and contents of career education are faithfully reflected in the 2022 revised curriculum.

• Knowledge Management Research
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• v.25 no.3
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• pp.121-143
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• 2024

The COVID-19 pandemic has affected various aspects of life, particularly affecting the learning, health, psychology, emotions, and daily routines of children and adolescents. The increasing number of counseling sessions related to depression and stress among this demographic highlights the urgent need for effective mental health management. This study investigates current mental care management services and proposes improvements by analyzing the mental health needs of Korean children and adolescents. From an evidence-based administrative perspective, the study examines the current status of emotional management, focusing on data from public institutions such as the Ministry of Education, the Ministry of Health and Welfare, and the Ministry of the Interior and Safety. We propose a three-phase service model: 1) data-driven emotional management services, 2) specialized services for vulnerable children and adolescents, and 3) mydata services for customized emotional management. Additionally, the study reviews relevant legal frameworks and issues, proposing directions for improvement to realize the proposed services. These services and legal considerations are expected to contribute to the effective implementation of emotional management policies for children and adolescents in the future.