• Journal of Industrial Convergence
• /
• v.21 no.10
• /
• pp.91-101
• /
• 2023

This study was attempted to identify the essence by confirming the experiences of students who participated in Habuta classes in their major subjects. From November 22, 2022 to December 6, 2022, eight nursing students were individually interviewed to collect data, and the data were analyzed by applying Colaizzi's phenomenological analysis methodology. The study's finding derived 6 categories. The specific categories were 'Coexistence of anxiety and expectation', 'Process of understanding and acquisition', 'Constant burden and discomfort', 'Progress and regression under pressure', 'Sense of security that is being recognized', 'Shift of thought to positivity'. In order for nursing students to participate in Havruta classes positively in the future, appropriate class design, active communication channels between professors and students, and strengthening of instructors' competence are required.

• Journal of Korean Elementary Science Education
• /
• v.43 no.1
• /
• pp.81-94
• /
• 2024

This study explores and conducts an in-depth comparison of the epistemic characteristics in different data types utilized in the science inquiries of preservice teachers regarding noise as a risk in everyday life. Focusing on primary and secondary data in the context of science inquiries about noise, we examined how these data types differ in science inquires in terms of inquiry design, data collection, and analyses. The findings reveal that sensor-based primary data enable direct measurement and observation of key phenomena. Conversely, secondary data rely on predetermined measurement methods within a public data system. These differences require different epistemic considerations during the inquiry process. Based on these findings, we discuss the educational implications concerning teaching approaches for science inquiries, teacher education for inquiry teaching, and the development of risk response competencies in preparation for the VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) era.

• Journal of agricultural medicine and community health
• /
• v.49 no.2
• /
• pp.121-131
• /
• 2024

Objective: This study is to design an intervention model for local residents to manage their oral health on their own. By establishing an autonomous participatory network without the intervention of external experts, it is possible to actively practice toothbrushing and use preventive services. Method: This is a case report study, and oral health education was conducted after interviews with 8 members of the Health Plus Village Committee in the N region of Hongcheon-gun and 156 residents of the senior center. Result: To foster oral health guardians in the community and to change behavior by actively sharing information and communicating with residents. It was confirmed that the Health Plus Village Committee was influential in spreading information, means, and interest about toothbrushing practices and preventive dental services to neighbors. Conclusion: In order to implement continuous resident-led oral health projects, resident-led village projects led by the Health Plus Village Committee should be activated through repeated empowerment education.

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

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.4
• /
• pp.47-54
• /
• 2024

The importance of cultural arts education utilizing digital tools is increasing in terms of enhancing tech literacy, self-expression, and developing convergent capabilities. The creation process and evaluation of innovative multi-modal AI, provides expanded creative audio-visual experiences in users. In particular, the process of creating music with AI provides innovative experiences in all areas, from musical ideas to improving lyrics, editing and variations. In this study, we attempted to empirically analyze the process of performing tasks using an Audio and Music Generative AI platform and discussing with fellow learners. As a result, 12 services and 10 types of evaluation criteria were collected through voluntary participation, and divided into usage patterns and purposes. The academic, technological, and policy implications were presented for AI-powered liberal arts education with learners' perspectives.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.1
• /
• pp.325-335
• /
• 2024

In this study, I investigated cases of operating Sustainable Development Goals (SDGs) sustainable design courses based on interdisciplinary education for diverse design major students in the fashion design department. Through literature review, we examined the necessity of this course operation and analyzed the course through class design, execution, and operational results. Sustainable design courses were organized for 2nd to 4th-year students, promoting integrated learning for fashion design and various design majors to enhance interdisciplinary skills based on the in-depth study of SDGs issues. The educational content in the classes focused on the sustainable development goals achieved through upcycling design of waste PET bottle fibers developed by local industries, aiming to pursue sustainable values of designers through problem discovery and resolution. Students developed various upcycled products, evaluated metrics, and assessed satisfaction levels. Through this process, students gained an understanding of the practical value of SDGs, recognized the importance of sustainable development through design approaches for solving local issues, and acknowledged the significance of interdisciplinary education with various design majors.

• Journal of Digital Convergence
• /
• v.21 no.3
• /
• pp.15-22
• /
• 2023

This study is a case study designed to create and implement a project-based introduction to nursing science, with the aim of analyzing students' experiences and perceptions following its implementation. The study targeted a total of 95 nursing students at G University in S City who enrolled in the introduction to nursing science course in 2021 and 2022. Data collection took place from September 2021 to December 2022, and data analysis involved examining reflective journals submitted by students after completing the project activities, using content analysis. The research results revealed four categories and nine themes. The four categories were 'Making Challenging Studies More Accessible,' 'Engaging and Enjoyable Learning Experiences,' 'Enhanced Teamwork,' and 'Presentation Limitations.' The project-based learning method was found to be effective and applicable in nursing education, demonstrating positive effects on students' attitudes and learning outcomes. However, since the study focused on students from a single university, it is suggested that future research include repeated studies and extend the application to other nursing courses to validate its effects.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.4
• /
• pp.517-526
• /
• 2024

The purpose of this study is the education applying Havruta's method for nursing students and to examine its effect on the Communication Competency, Problem-Solving Capability, and Learning Satisfaction. This study is a one-group pre-post design is use and the subjects of this sutdy were the first-grade students of this study were the first grade students of C university the department of nursing, who Anatomy nursing courses. Data of study was collected at begin and finish of semester in 2023 using the SPSS 23.0 program. Result, Communicaton Competency (t=2.11, p=.036), Problem-Solving Capability (t=2.11, p<.001) and Learning Satisfaction (t=3.12, p=.002) of nursing students using Havruta's method is statistically significantly. As Havruta's method has shown results that improve nursing students' capabilities, various studies applying the havruta's method are suggested.

• Journal of Korean Elementary Science Education
• /
• v.41 no.4
• /
• pp.740-753
• /
• 2022

This study was conducted to develop and apply an out-of-school STEAM program model based on Social-Emotional Learning (SEL) for underprivileged students in the lower grades. To this end, a STEAM program based on SEL was developed, with the following characteristics. First, by integrating traditional STEAM learning elements and SEL elements, a structured program was designed with consistent stages, including mindfulness meditation→present an authentic situation→creative design→emotional experiences→reflection. Second, the program was structured so that elementary school students could develop mathematical thinking and scientific inquiry skills in problem-solving situations in daily life. Third, the detailed themes for each STEAM program involved storytelling-based problem situations, as well as activities centered on play and sympathy to reflect the educational needs of underprivileged students. From these characteristics, a total of five programs were developed and applied to 16 teachers and 354 lower-grade elementary school students in 16 community children centers nationwide. The results were as follows. First, while students' satisfaction with the STEAM program was 4.16, there were no significant differences in STEAM satisfaction according to gender. Second, while all students' interest and self-efficacy, which was one of sub factors of STEAM attitude, were significantly improved, no significant difference was seen in STEAM attitudes according to gender. Third, although students' SEL competencies were not significantly improved, relationship skills, which were among the sub factors of SEL competencies, were significantly improved, and there were no significant differences in SEL competencies according to gender. From these results, a discussion on the effect of the out-of-school STEAM program for underprivileged students and directions for follow-up studies was suggested.

• The Mathematical Education
• /
• v.63 no.2
• /
• pp.255-272
• /
• 2024

This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.