• Journal of Korean society of Dental Hygiene
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• v.24 no.3
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• pp.197-208
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• 2024

Objectives: Extended reality technology offers an innovative opportunity to enhance self-directed learning through interactive processes in healthcare education. This study aims to analyze research trends in the application of extended reality technology-based educational content in the field of healthcare. Methods: Through literature search, selection, and exclusion processes based on predefined criteria, we conducted an analysis of domestic healthcare studies employing extended reality technology, ultimately selecting and examining 39 relevant publications. Results: The analysis reveals diverse applications of extended reality across various fields such as medicine, dentistry, and nursing. Positive effects, including increased academic satisfaction, immersion, and interest, are observed, alongside challenges like media usage difficulties and cybersickness. Conclusions: Future research should focus on the development and application of extended reality-based educational content in diverse healthcare curricula, emphasizing both educational approaches and continuous technological advancements.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.203-211
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• 2024

Utilizing programming languages for data visualization can enhance the efficiency and effectiveness in handling data volume, processing time, and flexibility. However, practice is required to become proficient in programming. Therefore public data-based the problem bank was developed to practice data visualization in a programming automatic assessment system. Public data were collected based on topics suggested in the curriculum and were preprocessed to make it suitable for users to visualize. The problem bank was associated with the mathematics curriculum to learn various data visualization methods. The developed problems were reviewed to expert and pilot testing, which validated the level of the questions and the potential of integrating data visualization in math education. However, feedback indicated a lack of student interest in the topics, leading us to develop additional questions using student-center data. The developed problem bank is expected to be used when students who have learned Python in primary school information gifted or middle school or higher learn data visualization.

• Information Systems Review
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• v.20 no.1
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• pp.115-135
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• 2018

The growing interest in the privacy paradox involving discussions about discrepancy between attitude and behavior led to an increase in the number of studies on the topic. An in-depth theoretical review of the privacy paradox is essential to promote qualitative growth of domestic research in the privacy paradox. In this study, we conducted literature review of existing domestic studies in the privacy paradox. The results of this study showed that the quantity and the quality of research showed marked improvement. Earlier studies primarily focused on the existence of the privacy paradox phenomenon, but existing studies on the causes of the phenomenon gradually increased. Despite the use of various methodologies and analytical tools to investigate the causes of the privacy paradox, research in privacy paradox remains in its infancy. Further efforts are needed to achieve qualitative growth, and further studies should be conducted to introduce the behavioral economic approach. This approach posits that bounded rationality could contribute to a clear understanding of the privacy paradox and the academic development of the privacy field.

• Dementia and Neurocognitive Disorders
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• v.22 no.4
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• pp.121-129
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• 2023

Background and Purpose: As it becomes an aging society, interest in senile diseases is increasing. Alzheimer's dementia (AD) and osteoporosis are representative senile diseases. Various studies have reported that AD and osteoporosis share many risk factors that affect each other's incidence. This aimed to determine if active medication treatment of AD could affect the development of osteoporosis. Methods: The Health Insurance Review and Assessment Service provided data consisting of diagnosis, demographics, prescription drug, procedures, medical materials, and healthcare resources. In this study, data of all AD patients in South Korea who were registered under the national health insurance system were obtained. The cohort underwent conversion to an Observational Medical Outcomes Partnership-Common Data Model version 5 format. Results: This study included 11,355 individuals in the good persistent group and an equal number of 11,355 individuals in the poor persistent group from the National Health Claims database for AD drug treatment. In primary analysis, the risk of osteoporosis was significantly higher in the poor persistence group than in the good persistence group (hazard ratio, 1.20 [95% confidence interval, 1.09-1.32]; p<0.001). Conclusions: We found that the good persistence group treated with anti-dementia drugs for AD was associated with a significant lower risk of osteoporosis in this nationwide study. Further studies are needed to clarify the pathophysiological link in patients with two chronic diseases.

• Journal of Sensor Science and Technology
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• v.33 no.2
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• pp.112-116
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• 2024

Gas-sensor technology for volatile organic compounds (VOC) biomarker detection offers significant advantages for noninvasive diagnostics, including rapid response time and low operational costs, exhibiting promising potential for disease diagnosis. Colorimetric gas sensors, which enable intuitive analysis of gas concentrations through changes in color, present additional benefits for the development of personal diagnostic kits. However, the traditional method of visually monitoring these sensors can limit quantitative analysis and consistency in detection threshold evaluation, potentially affecting diagnostic accuracy. To address this, we developed a machine vision platform based on metal-organic framework (MOF) for colorimetric gas sensor arrays, designed to accurately detect disease-related VOC biomarkers. This platform integrates a CMOS camera module, gas chamber, and colorimetric MOF sensor jig to quantitatively assess color changes. A specialized machine vision algorithm accurately identifies the color-change Region of Interest (ROI) from the captured images and monitors the color trends. Performance evaluation was conducted through experiments using a platform with four types of low-concentration standard gases. A limit-of-detection (LoD) at 100 ppb level was observed. This approach significantly enhances the potential for non-invasive and accurate disease diagnosis by detecting low-concentration VOC biomarkers and offers a novel diagnostic tool.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.79-86
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• 2024

In this paper, we propose a virtual learning platform based on various interactions that occur during real class activities, rather than the existing content delivery-oriented learning metaverse platform. In this study, we provide a learning environment that combines AI and a virtual environment to solve problems by talking to real-time AI. Also, we applied G-learning techinques to improve class immersion. The Virtual Edu platform developed through this study provides an effective learning experience combining self-directed learning, simulation of interest through games, and PBL teaching method. And we propose a new educational method that improves student participation learning effectiveness. Experiment, we test performance on learninng activity based on real-time video classroom. As a result, it was found that the class progressing stably.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.1
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• pp.193-219
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• 2024

This study aims to investigate and analyze the current status of user education and the school library staffs' perceptions in elementary school libraries in Gyeongnam, and then to propose a plan to improve user education in school libraries. Among the 168 school libraries in the Gyeongsangnam-do where librarians are deployed, 120 that responded to the survey were selected as research subjects. The contents of the study include the contents and methods of user education, the status of librarian education for user education, school library staffs understanding and interest in user education, school library staffs' perceptions of the necessity and effectiveness of user education, and school library staffs' efforts to strengthen capacity of user education. Based on the current status of user education and the results of the school library staffs' perceptions survey, the following are proposed as a way to improve user education of the school library: 1) expanding librarian education opportunities for user education, 2) development and distribution of educational materials that diversify the content and level of each grade, 3) organizing normal school hours for user education, 4) continuous efforts to strengthen capacity for user education.

• Korean Medical Education Review
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• v.26 no.2
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• pp.83-92
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• 2024

Interprofessional education (IPE) fosters knowledge, skills, and attitudes related to interprofessional collaboration (IPC) for safe, quality patient care. In recent years, the importance of IPC has extended beyond the medical field to local community settings. However, IPE has only recently been introduced and has yet to become widespread. This study reviews the origin and development of IPE in Korean medical education by comparing it with established models in other countries that provide useful insights into future directions for IPE in Korea. Dedicated institutions led the IPE effort in other countries; however, IPE initiatives in Korea were mainly driven by individual professors' and medical schools' interest and commitment, without structural support systems. An important finding of this study is that the lack of awareness and organizational support within the medical education community resulted in the absence of a mandatory curriculum for IPE, as it was omitted from the accreditation standards. For more organized adoption and implementation of IPE in Korea, this study suggests the need to widely communicate the importance of IPE to the medical community and the public. It is also imperative to establish leadership capable of guiding IPE, share materials through trusted institutions with IPE experience, and include IPE in the accreditation standards. These steps are essential for actively implementing IPE and meeting societal healthcare needs in Korea.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.333-342
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• 2024

This study analyzes the curriculum applied to students of specialized high schools in 2025, when the 2022 revised curriculum is fully implemented, and proposes a curriculum to help schools and companies that are still organizing the curriculum. In addition, through a questionnaire on apprenticeship education by unit school students, parents, and corporate teachers, we will examine the requirements of each subject in the middle and further study ways to develop the current work-learning parallel system of apprenticeship students and ordinary students after pre-employment. As apprenticeship education continues to develop, continuous research, interest, and support are needed to establish apprenticeship education in the changed curriculum, which should continue to be studied as basic research in the parallel of national-level work-learning in the future.

• Information Systems Review
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• v.25 no.2
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• pp.125-144
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• 2023

Generative Artificial Intelligence (AI) technology is gaining global attention as it can automatically generate sentences, images, and voices that humans previously generated. In particular, ChatGPT, a representative generative AI service, shows proactivity and accuracy differentiated from existing chatbot services, and the number of users is rapidly increasing in a short period of time. Despite this growing interest in generative AI services, most preceding studies are still in their infancy. Therefore, this study utilized LDA topic modeling and keyword network diagrams to derive success factors for generative AI services and to propose successful business strategies based on them. In addition, using ChatGPT, a new research methodology that complements the existing text-mining method, was presented. This study overcomes the limitations of previous research that relied on qualitative methods and makes academic and practical contributions to the future development of generative AI services.