• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.11-22
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• 2022

The educational environment, where the change to blended learning and AI convergence education through non-face-to-face is accelerating, is based on the cultivation of digital literacy. This study attempted to verify the effectiveness of future competencies by creating a collaborative SW education program on the metaverse platform that emerged by supplementing the problems through non-face-to-face. Twenty programs on how to design and create software were organized for small-scale elementary classes in the metaverse. In order to verify the effectiveness 4C competency tool presented as future educational competency was selected, and homogeneity test for the experimental group and t-test were conducted. The results showed the SW education programs based on metaverse was effective in improving collaborative communication skills, confirming the possibility of SW education through blended learning.

• Journal of Nutrition and Health
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• v.39 no.8
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• pp.808-816
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• 2006

The purpose of this study was to improve the dietary attitudes and habits of elementary students in lower classes through a 12-week practical nutrition education program called KHIDIKIDS, which was developed by Korea Health Industry Development Institute (KHIDI) in 2004 based on the 2003 Children's Dietary Guidelines of the Ministry of Health and Welfare of Korea. KHIDIKIDS has never been applied in the field, therefore, another purpose of this study was to evaluate the program in the school education and suggest the ideas for the improvement. KHIDIKIDS was applied to a class of 2nd-grade elementary students consisting of 28 children in Seoul during the fall semester of 2005, and the effect of the program was measured by using questionnaires for the students and their parents. The statistical analysis of the study was conducted by using SPSS WIN 11.5 program, and the results were as follows: The children's knowledge on nutrition was improved significantly by KHIDIKIDS education (p<.001), such that the average score on nutritional knowledge increased from 8.32 to 9.64 after education. This practical nutrition education program also improved the dietary attitudes and habits of children especially in healthy body weight, daily exercise, and having breakfast (p<.05). Parents also showed very positive responses for the nutrition education. During the application of KHIDIKIDS in the field, the followings were indicated for adjustment, First, some education content of the week was too much to be finished in a class hour and more hours need to be allocated. Second, some terminology need to be adjusted to help the students understand easily. Thirdl, the order of the's Basic Food Groups' needs to be matched with the order of each food group in the 'Food Tower' not to make children be confused. Above results showed that KHIDIKIDS was effective for the improvement of dietary attitudes and habits of lower elementary students. However, further educational effects would be achieved when the education was started from the 1st to higher grades along with the parents' participation.

• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.97-104
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• 2022

As the era of digital transformation begins in earnest, the importance of convergent thinking based on software, artificial intelligence, and big data is increasing. In line with these social needs, this study developed a 5th hour SW-STEAM education program using Monte Carlo simulation techniques for Mendelian inheritance in the field of life science. By programming and implementing Mendelian inheritance using Monte carlo simulation, the program was organized so that not only convergent thinking skills but also related knowledge could be understood in depth. In order to verify the validity of the developed education program, 11 experts in related fields were requested to test the content validity, and the validity was verified by meeting the CVR reference value of 0.59 suggested by Lawshe.

• Journal of Korean society of Dental Hygiene
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• v.23 no.5
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• pp.351-360
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• 2023

Objectives: This study is based on a visiting oral health care intervention program in the community care. This qualitative study was conducted through in-depth interviews to identify awareness and attitudes regarding intervention program among older adults. Methods: The research team visited the homes of the target older adults and conducted in-depth interviews for approximately an hour using a semi-structured questionnaire. The collected voice recordings were transcribed using Clova Note, and AI program by Naver. Using the 'Word Cloud Generator 3.7' program, words of high importance and interest from interview answers were extracted, visualized, and analyzed. Results: Participating older adults acknowledged that their quality of life related to oral health could be improved by increasing the level of oral health awareness and oral health knowledge through the intervention program. In addition, the older adults indicated that their oral hygiene management ability improved compared to before the intervention through expert oral hygiene management and oral health education. Further, as the level of oral health knowledge increased, so too did satisfaction with the intervention program increase. Conclusions: The intervention program for visiting oral health care showed a positive effect on the awareness and attitude of older adults. Thus, it is suggested that education for continuous competency enhancement of dental hygienists and multidisciplinary education for the improvement of general health and quality of life of older adults should be promoted.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.123-129
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• 2021

Recently, various platforms and contents for artificial intelligence education have been developed, but artificial intelligence education programs for the lower grades of elementary school are insufficient. Therefore, the purpose of this study is to develop an artificial intelligence education program for learners in the lower grades of elementary school. It was designed using the Novel Engineering, and its validity was verified by expert validation. It was necessary to construct a program based on spoken language rather than written language in consideration of the level of learners in the lower grades in the process of acquiring Hangeul, and to secure the number of educational hours through integration between subjects. There have been various research cases of software education with Novel Engineering, and its effectiveness has been verified. Artificial intelligence education is also expected to be applied in the school field through Novel Engineering.

• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.141-151
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• 2022

Recently, basic literacy education related to digital literacy and data literacy has been emphasized for students who will live in a rapidly developing future digital society. Accordingly, demand for education to improve big data and data literacy is also increasing in general universities and universities of education as basic knowledge. Therefore, this study designed and applied big data analysis courses for pre-service teachers and analyzed the impact on data literacy. As a result of analyzing the interest and understanding of the input program, it was confirmed that it was an appropriate form for the level of pre-service teachers, and there was a significant improvement in competencies in all areas of 'knowledge', 'skills', and 'values and attitudes' of data literacy. It is hoped that the results of this study will contribute to enhancing the data literacy of students and pre-served teachers by helping with systematic data literacy educational research.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.705-712
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• 2021

This study aims to develop artificial intelligence education programs that can be easily applied in elementary schools according to the trend of the times called artificial intelligence. The training program designed the purpose and direction based on the analysis results of the needs of 70 elementary school teachers according to the steps of the ADDIE model. According to the survey, elementary school students developed a machine learning education program to set sound data as the theme of the most accessible in their daily lives and to learn the principles of artificial intelligence in solving problems using sound data in real life. These days, when the need for artificial intelligence education emerges, elementary machine learning education programs that solve daily life problems based on sound data developed in this study will lay the foundation for elementary artificial intelligence education.

• Journal of the Korean earth science society
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• v.44 no.6
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• pp.675-692
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• 2023

This study used a Chatbot, a generative artificial intelligence (AI), to analyze the interaction between the Chatbot and students when exploring critical minerals from an epistemological aspect. The results, issues to be kept in mind in the teaching and learning process using AI were discussed in terms of the role of the teacher, the goals of education, and the characteristics of knowledge. For this study, we conducted a three-session science education program using a Chatbot for 19 high school students and analyzed the reports written by the students. As a result, in terms of form, the students' questions included search-type questions and non-search-type questions, and in terms of content, in addition to various questions asking about the characteristics of the target, there were also questions requiring a judgment by combining various data. In general, students had a questioning strategy that distinguished what they should aim for and what they should avoid. The Chatbot's answer had a certain form and consisted of three parts: an introduction, a body, and a conclusion. In particular, the conclusion included commentary or opinions with opinions on the content, and in this, value judgments and the nature of science were revealed. The interaction between the Chatbot and the student was clearly evident in the process in which the student organized questions in response to the Chatbot's answers. Depending on whether they were based on the answer, independent or derived questions appeared, and depending on the direction of comprehensiveness and specificity, superordinate, subordinate, or parallel questions appeared. Students also responded to the chatbot's answers with questions that included critical thinking skills. Based on these results, we discovered that there are inherent limitations between Chatbots and students, unlike general classes where teachers and students interact. In other words, there is 'limited interaction' and the teacher's role to complement this was discussed, and the goals of learning using AI and the characteristics of the knowledge they provide were also discussed.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.4
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• pp.419-429
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• 2017

Purpose: The purpose of this study was to investigate the effect of the development and application of the new nurses' core skill program on the clinical skill, confidence, knowledge and performance of new nurses. Methods: This study was a nonequivalent control group post-test design on 46 new nurses with 3 to 6 months work experience in a general hospital. Data were collected from August 2015 to August 2016. A training program of core fundamental nursing skills was applied on 23 new nurses from 2016 in the experiment group, and an existing training method was applied on 23 new nurses from 2015 in the comparison group. The collected data were analyzed using SPSS/WIN 23.0. Results: The experimental group ($89{\pm}4.29$) showed higher score in practical skill assessment compared to the control group ($85.09{\pm}3.99$) and showed a statistically significant difference (p<001). Conclusion: A training program of core fundamental nursing skills for new nurses proved effective in improving practical skills. Further research on the development of a systemic training program that can improve clinical nursing knowledge and work ability for new nurses according to the extended enforcement of a Nursing Care Integrated Service ward is needed.

• Journal of Community Nutrition
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• v.4 no.3
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• pp.151-158
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• 2002

The purpose of this study was to investigate the correlations among the anthropometry, serum lipid levels and nutrient intake in Korean female university students. The subjects were 119 female students at a university located in Incheon. This study was conducted using a self-administered questionnaire. Anthropometric data were measured and blood lipid levels were analyzed. Nutrient intake collected from 3 day-recalls was analyzed by the Computer Aided Nutritional Analysis Program. The data were analyzed by SPSS 10.0 program. Average age, height and weight of the subjects were 20.9 years, 160.1cm and 54.3kg, respectively. Average serum TG (triglyceride), total cholesterol, HDL-C (high density lipoprotein-cholesterol) and LDL-C (low density lipoprotein-cholesterol) levels of the subjects were 69.47mg/dl, 146.85 mg/dl, 50.49mg/dl and 82.52mg/dl, respectively. Average AI (atherogenic index) of the subjects was 2.03, which was in the normal range based on risk values. Average intake of most nutrients except protein, vitamin B$_1$, vitamin C and phosphorus were lower than the Korean RDA. Especially calcium and iron intakes of the subjects were under 65% of the Korean RDA. Serum TG, total cholesterol and LDL-C levels were negatively correlated with DBP (diastolic blood pressure). HDL-C/LDL-C and HDL-C/total cholesterol were positively correlated with height. Age was positively correlated with phosphorus intake. DBP of the subjects was positively correlated with calcium and iron intakes. Serum TG level was positively correlated with total cholesterol, HDL-C, LDL-C and AI, while negatively correlated with HDL-C/total cholesterol. Total cholesterol level was positively correlated with HDL-C, LDL-C and AI, while negatively correlated with HDL-C/LDL-C, HDL-C/total cholesterol. HDL-C level was positively correlated with LDL-C, HDL-C/LDL-C and HDL-C/total cholesterol, while negatively correlated with AI. LDL-C level was negatively correlated with HDL-C/LDL-C and HDL-C/total cholesterol, while positively correlated with AI HDL-C/LDL-C ratio was positively correlated with HDL-C/total cholesterol and AI. HDL-C/total cholesterol was negatively correlated with AI. Fat intake was positively correlated with total cholesterol, HDL-C level, and vitamin B$_2$ intake was positively correlated with TG, HDL-C/LDL-C. Therefore, nutrition education is necessary for female university students to promote the lipid profile and to optimize the nutritional status. (J Community Nutrition 4(3) : 151∼158, 2002)