• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.233-237
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• 2021

With the advent of the 4th industrial revolution, interest in artificial intelligence education is increasing in elementary schools. In order to nurture future talents with artificial intelligence capabilities, AI education should be actively conducted at school sites. Although basic software education is provided in the 2015 revised curriculum, there is a tendency to view the programming process that creates artificial intelligence only as a problem-solving process. However, when creating an artificial intelligence, the value of the developer who creates artificial intelligence is projected. Therefore, it is necessary to deal with the contents of artificial intelligence value judgment during SW education. This study has limitations due to the fact that Delphi research was conducted with a group of experts. In the future, it is judged that quantitative research should be conducted to supplement these limitations.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.311-319
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• 2023

This study aims to break away from uniform academic regulations in preparation for nurturing future talents for the 4th industrial type, and apply the intensive course system to promote exchange and competition in the global education market. We would like to suggest a way to learn efficiently in an environment. To this end, we analyze the literature and prior research on design subjects in the intensive course system and non-face-to-face environment, analyze the requirements of teachers and students in charge of actual design subjects, and propose a utilization plan through expert review, and apply the persona technique. presented. This study will be able to provide basic data that can be practically used when operating intensive course design courses in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.999-1008
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• 2023

Early prediction of chronic diseases such as diabetes is an important issue, and improving the accuracy of diabetes prediction is especially important. Various machine learning and deep learning-based methodologies are being introduced for diabetes prediction, but these technologies require large amounts of data for better performance than other methodologies, and the learning cost is high due to complex data models. In this study, we aim to verify the claim that DNN using the pima dataset and k-fold cross-validation reduces the efficiency of diabetes diagnosis models. Machine learning classification methods such as decision trees, SVM, random forests, logistic regression, KNN, and various ensemble techniques were used to determine which algorithm produces the best prediction results. After training and testing all classification models, the proposed system provided the best results on XGBoost classifier with ADASYN method, with accuracy of 81%, F1 coefficient of 0.81, and AUC of 0.84. Additionally, a domain adaptation method was implemented to demonstrate the versatility of the proposed system. An explainable AI approach using the LIME and SHAP frameworks was implemented to understand how the model predicts the final outcome.

• Journal of Korean Academy of Nursing
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• v.54 no.1
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• pp.1-17
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• 2024

Purpose: The significance of the healthcare industry has grown exponentially in recent years due to the impact of the fourth industrial revolution and the ongoing pandemic. Accordingly, this study aimed to examine domestic healthcare-related patents comprehensively. Big data analysis was used to present the trend and status of patents filed in nursing. Methods: The descriptive review was conducted based on Grant and Booth's descriptive review framework. Patents related to nursing was searched in the Korea Intellectual Property Rights Information Service between January 2016 to December 2020. Data analysis included descriptive statistics, phi-coefficient for correlations, and network analysis using the R program (version 4.2.2). Results: Among 37,824 patents initially searched, 1,574 were selected based on the inclusion criteria. Nursing-related patents did not specify subjects, and many patents (41.4%) were related to treatment in the healthcare delivery phase. Furthermore, most patents (56.1%) were designed to increase effectiveness. The words frequently used in the titles of nursing-related patents were, in order, "artificial intelligence," "health management," and "medical information," and the main terms with high connection centrality were "artificial intelligence" and "therapeutic system." Conclusion: The industrialization of nursing is the best solution for developing the healthcare industry and national health promotion. Collaborations in education, research, and policy will help the nursing industry become a healthcare industry of the future. This will prime the enhancement of the national economy and public health.

• Quality Improvement in Health Care
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• v.30 no.1
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• pp.132-152
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• 2024

Purpose: This study aimed to identify and evaluate interprofessional education (IPE) interventions for healthcare professional students in East Asian countries. Methods: The reporting of this study followed the Preferred Reporting Items of Systematic Reviews and Meta-Analysis guidelines. A literature search was conducted using seven electronic databases: PubMed, EMBASE, CINAHL, Scopus, Web of Science, ERIC, and ProQuest Dissertations & Theses Global. Joanna Briggs Institute Critical Appraisal Checklists were also used to appraise the quality of the included studies. The outcomes of IPE interventions were classified based on a modified Kirkpatrick model. Results: This review included 30 studies predominantly conducted in Singapore, South Korea, and Taiwan. The prevalent research design was a one-group pre-posttest design, and most IPE interventions occurred as single events. Approximately 70% of the studies involved students from two healthcare professions, mainly nursing and medicine. Simulations, group discussions, and lectures have emerged as the most common teaching methodologies, with almost half of the studies leveraging a combination of these techniques. The IPE content primarily focused on interprofessional teamwork, communication, and clinical patient care situations; these included the management of septic shock. The effectiveness of the IPE interventions was mainly evaluated through self-reported measures, indicating improvements in attitudes, perceptions, knowledge, and skills, aligning with Level 2 of the modified Kirkpatrick model. Nonetheless, the reviewed studies did not assess changes in the participants' behavior and patient results. Conclusion: IPE interventions promise to enhance interprofessional collaboration and communication skills among health professional students. Future studies should implement rigorous designs to assess the effectiveness of IPE interventions. Moreover, when designing IPE interventions, researchers and educators should consider the role of cultural characteristics in East Asian countries.

• Journal of Gifted/Talented Education
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• v.19 no.3
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• pp.669-695
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• 2009

In the 21st century, there will be a robot revolution. Only several years ago, industrial robots were the mainstream in the robot market; however, diverse type of robots are currently entering into our daily lives for various purposes, and the robot that thinks and behaves very similarly to human will appear in the near future. However, there is a critical view about the robot period. This means that the robot revolution will change even the framework of our entire society and human life style, and it is necessary to have robot education. It is necessary to start robot education in the elementary school curriculum with a view to enhancing interest in basic science and scientific technology and cultivating creative talents who may adapt themselves to a robotic society. However, there is no systematic robot curriculum owing to insufficient perception of the need of robot education and the educational utilization of robots. Under these circumstances, robot education is largely dependent on education for students with special talents and aptitudes run by private organizations. This paper conducted the following research in order to develop a robot curriculum in education for the gifted elementary students of computer science. First, the paper identified problems by analyzing the robot curriculum from a micro perspective after selecting three organizations that are relatively well perceived out of private organizations that operate robot education for the gifted elementary students of computer science. Second, the paper developed a robot curriculum in education for the gifted elementary students of computer science based on the framework of a robot curriculum run by private sector. Third, the validity of the robot curriculum developed in this paper was verified by a professional group comprising mainly persons in charge of robot curriculum development at private sector and lecturers for robot education for the gifted elementary students of computer science.

• Journal of Gifted/Talented Education
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• v.23 no.3
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• pp.355-371
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• 2013

While many research focused learners as those who excel in mathematics or science, the identification of learners with potential or demonstrated talent in visual art has also been the meaningful research topic. Since these learners exhibit high performance capability in intellectual, creative and artistic areas, they require services or programs not ordinarily provided by the schools. This research tried to clarify what high performance means when speaking of learners with outstanding talent in the visual arts based on the relevant literature. Also, this research introduced the recent trends in the field of art gifted and talented education. In order to demonstrate critical issues and find new directions in art education for gifted learners, this research conducted the survey, and this survey target group was arts high school students. Based on the survey analysis, this research conducted the semi-structured interviews with focal participants including the teachers and an artist. Interviewees generated many meaningful issues, and interview analysis reconceptualized art education for gifted learners as following. 1) Gifted education should consider learners' excellence, equity, troubles, and struggles that often go unnoticed. 2) We should reform the criteria, standards, and strategies in finding art gifted learners. 3) In order to facilitate meaningful and creative art education, higher education institutions need to change the current college entrance exam. 4) The goal of gifted art education is not only raising the world-class artists. 5) Meaningful art education for gifted learners is in interaction with the environment including group dynamics, parents influence, and teachers.

• Review of Culture and Economy
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• v.17 no.2
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• pp.103-135
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• 2014

This research dwells on the new paradigm of policy making of some innovative nations in Korean content industry. Especially this paper did evaluation of governmental policy in recent 5 years (2008~2012) in the field of Korean content industry. According to this research, the program of policy in Korean content industry had been obsessed to passive enrichment focusing on some part of content industry. The whole process of policy, scheme of policy and working flow of policy were very constrained in order to encourage more measurable area like CT(culture technology). Thus, we need new strong policy in this new government launched in 2013. The apparent keyword should be 'management'. New activity of policy need to focus on encourage Korean content industry in the real site of field, not in bureaucratic office in remote site. This change reflecting real filed management system would be productive innovation for policy making and activity in Korea.

• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.653-664
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• 2021

This study proposes a STEAM (Science, Technology, Engineering, Arts, and Mathematics) program for career exploration of middle school students. The proposed program utilizes VR (Virtual Reality) for new digital technology and webtoon as a popular cultural element. It enables the students to investigate promising fields and experience them virtually for themselves. We design the program based on the 2015 revised curriculum, which enhances the learning effects with existing subjects. In particular, the program provides a hybrid education to combine contact and untact classes considering the COVID-19 situation. The educational goal of the proposed program is to improve creativity and convergence capability. Specifically, it aims to prepare an educational foundation that integrates new digital technologies into education and applies the programs to school education fields. To prove the effectiveness of the developed program, we applied the program to the second graders of A middle school located in Seoul. We expect that the proposed program helps students learn how to utilize new digital technologies and explore future career paths.

• Journal of vocational education research
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• v.30 no.4
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• pp.51-67
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• 2011

The expectation and importance for the key competencies education in the university have been greater. Although there have been many various efforts of the university for its social accountability that it should cultivate the qualified person company requires, there is a bit gap between the university education and social demand. Therefore, the purpose of this study was to investigate the perception and demand of students and teachers to the key competencies and then offer a help to develop and operate strategies with which university education can be prepared for the demand of teachers, students and society. In this study, questionnaires on the perception and demand to the key competencies education were developed and responded by 475 students and 58 professors as a subject of this study. The results were analysed using multiple response frequency analysis, cross analysis and t-test. Also the statistical level of significance was set at p<.05 by using SPSS 12.0 for Windows. The results suggested that there were significant differences between the perception and demand of teachers and students to the key competencies education, particularly to the items questioning the degree of difficulty in preparing for future employment, the most important resource from which they can obtain aids, the degree of efforts they put for the key competencies development and employment, and the main factors for the key competencies development and employment. We can expect to offer an implication for the university education based on perception and demand of teachers and students to the key competencies.