• Journal of agricultural medicine and community health
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• v.43 no.3
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• pp.147-157
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• 2018

Objectives: The aim of this study is to measure health literacy levels and to identify health literacy related factors in vulnerable elders. Methods: The research design for this study was a descriptive survey design using convenience samples. Data collection was done by interviewing questionnaire with 200 elders from welfare centers in the cities. Data were analyzed by using percentage, Chi-square and multiple logistic regression with the IBM SPSS Statistics Ver. 24.0. Results: The results of this study are as follows: Vulnerable elders' sources of health information levels were very low, especially internet. In multiple logistic regression analysis, monthly income, sources of health information were significant accounted for OR 2.201, p<.05, OR 2.989, p< .01 health literacy. Conclusion: These results suggest that interventions for improving health literacy are necessary to enhance elders' finding of health information. Also, these results could be used in developing health literacy programs by internet.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.93-100
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• 2020

This study aims to design and develop effective digital contents to improve the ability for artificial intelligence literacy. First, we defined AI literacy and analyzed the competencies required for artificial intelligence literacy. After selecting the educational elements for AI ability, we composed 10 educational programs. To confirm the appropriateness of designed contents, we verified through content validity test by 10 experts. The CVI value was over 0.75, which was highly valid. The developed content was installed on the online system and applied to 55 AI beginners for 4 weeks. The learners showed a positive result of at least 3.85 in the items of content difficulty, understanding, effectiveness, and learning challenge. As a result of this analysis, we can see that the developed content is positive for helping many people understand AI and improving AI literacy.

• Journal of Engineering Education Research
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• v.26 no.3
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• pp.12-19
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• 2023

The purpose of this study is to develop the Artificial Intelligence thinking-based education program for improving AI literacy and verify its effectiveness for beginner. This program consists of 17 sessions, was designed according to the "ABCDE" model and is a project-based program. This program was conducted on 51 first-year middle school students and 36 respondents excluding missing values were analyzed in R language. The effect of this program on ethics, understanding, social competency, execution plan, data literacy, and problem solving of AI literacy is statistically significant and has very large practical significance. According to the result of this study, this program provided learners experiencing Artificial Intelligence education for the first time with Artificial Intelligence concepts and principles, collection and analysis of information, and problem-solving processes through application in real life, and served as an opportunity to enhance AI literacy. In addition, education program to enhance AI literacy should be designed based on AI thinking.

• Child Health Nursing Research
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• v.29 no.4
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• pp.300-312
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• 2023

Purpose: This study investigated knowledge of atopic dermatitis and food allergies, as well as health information literacy, among North Korean refugee mothers with preschool-age children and explored how these variables were related to participants' characteristics. Methods: A descriptive study design was used. Data from 130 North Korean refugee mothers were collected between January and March 2023. Results: The mean scores were 14.48 of 30 for atopic dermatitis knowledge; 2.77 of 10 for food allergy knowledge, and 56.95 of 80 for health information literacy. Significant differences were observed in knowledge of atopic dermatitis based on breastfeeding duration (F=4.12, p=.009), and in knowledge of food allergies based on mixed feeding (F=3.11, p=.049). Health information literacy showed significant relationships with education level (F=3.76, p=.026), occupation (F=3.99, p=.021), checking nutritional information (t=2.91, p=.004), mixed feeding (F=4.50, p=.014), and atopic dermatitis diagnosis (t=6.86, p=.001). Significant positive correlations were observed between atopic dermatitis knowledge, food allergy knowledge, and health information literacy. Conclusion: Personalized educational programs should be implemented to improve awareness of allergies and health information literacy among North Korean refugee mothers, which would help them find, evaluate, and understand health-related information. These programs should focus on providing nutrition and dietary education to promote healthy growth in children and prevent diseases.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.265-277
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• 2021

With the development of technology, the concept of digital literacy is expanding from the focus of function and tool utilization to the extent of communication and participation in social and cultural contexts. In particular, learners' digital literacy capabilities are more important and necessary in remote learning environments such as Corona19. In this study, we studied how to improve digital literacy education through analysis and inspection of digital literacy shown in elementary school textbooks. To this end, we analyze it through compliance consisting of 8 fundamental pieces of knowledge, 20 sub technical skills, and 10 keys of competencies that constitute digital literacy. As a result of the study, the contents of digital literacy education in elementary school textbooks were presented centered on functions and tools, and as they were biased in certain areas, they were found to be lacking in systematicity and connectivity. Therefore, it proposed the composition of the curriculum system of digital literacy through the independence of elementary informatics curriculum, the specific composition of curriculum, and the strengthening of pre-service teachers' practical skills.

• The Journal of Korean Association of Computer Education
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• v.8 no.6
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• pp.95-102
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• 2005

Development of information & communication technologies brought a lot of changes into a fashion industry system. Based on this advancement, various classes which utilized a computer is opened in the educational field. However, because of the shortages of ICT quality of leaner, It must spare a section equivalent for ICT literacy during educational contents. In secondary education and the culture process of a university It is because ICT literacy education was not realized directly. This study is purposed to present more desirable direction the curriculum of Fashion Design, in order to study like the fashion design technical education division, defined the ICT literacy ability that leaner must have and under the tyrannies that that kind of ICT quality ability was had, designed a educational 'process in the fashion design that utilized the ICT which was suitable for information oriented society.

• The Journal of Korean Association of Computer Education
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• v.16 no.6
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• pp.55-70
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• 2013

This study tried to redesign a robot curriculum and proposed it for the purpose of enhancing, supporting sustainable development of robot in educations. For doing so, this study referred relevant existing literacy contents at robot literacy educations, and defined a robot literacy education. In addition, this study presented elements of robot literacy by dividing them into five kinds. In relation with the scope of robot literacy education suggested here, this study proposed basic robot area, measurement and observation along with robots based on three elements of robotics, movement and expression made by robots, my own robot design, and comprehensive activity area. Regarding to development stages of robot literacy, the study applied the classical model of curriculum development by Tyler (1949), and intended to secure validity and reliability on the curriculum composition, and then developed a curriculum after analyzing mathematics and science curriculums in existing elementary, middle schools accordingly.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.2
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• pp.210-222
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• 2021

Purpose: This study was conducted to develop and test the effects of a nursing information literacy competency education program for undergraduate nursing students. Methods: A non-equivalent control group pretest-posttest design was used. The subjects consisted of 42 sophomore undergraduate nursing students who had completed a fundamental nursing course (experimental group: n=21, control group n=21). The nursing information literacy competency education program consisted of 8 steps in 8 sessions, taught over 4 weeks, which was 20 hours in total. Data were collected between January 23 and March 14, 2019 and were analyzed using Chi-square test, Fisher's exact test, t-test, paired t-test, and repeated measure ANOVA with SPSS/WIN 23.0. Results: Significant differences were shown between the experimental and control groups regarding nursing information literacy competency (F=91.74, p<.001), problem-solving ability (F=52.43, p<.001), self-directed learning ability (F=36.61, p<.001), and evidence-based practice competency (F=59.66, p<.001). Conclusion: The nursing information literacy competency education program was effective in improving the nursing information literacy competency, problem-solving ability, self-directed learning ability, and evidence-based practice competency of nursing students. Hence, we recommend the nursing information literacy education program will be included as an independent course in the nursing curriculum for undergraduate nursing students to promote a needed proficiency in nursing information literacy competency.

• Journal of Distribution Science
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• v.20 no.6
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• pp.75-86
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• 2022

Purpose: This research aims to provide empirical evidence on the impact of digital literacy on behavioural intention regarding using technology for distribution of higher education. Design, Methodology, and Approach: Quantitative analysis was carried out using Covariance-Based Structural Equation Model with data collected from 901 students who fully experienced 2-year study online at different universities in Vietnam. The structural model was built with digital literacy as the primary indicator and other variables were included based on modified version of Unified Theory of Acceptance and Use of Technology (UTAUT2) by adopting performance expectancy, effort expectancy, social influence, habit, and hedonic motivation variables specifically for education sector. Self-efficacy was added to eliminate possible bias in technology acceptance. Results: From the results of model estimation, digital literacy presented positive impact on the online distribution of higher education in Vietnam. The mediating effects of various indicators such as performance expectancy, effort expectancy, social influence, habit, hedonic motivation, and self-efficacy are significantly determined by research model. Conclusion: The higher level of digital literacy of the students, the more likely that they will use technology in higher education study, especially online learning. Additionally, the mediating effects of indicators from the UTAUT2 theoretical model were also evident to be positively significant.

• The Journal of Economics, Marketing and Management
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• v.11 no.6
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• pp.1-8
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• 2023

Purpose: In the era of the Fourth Industrial Revolution, individuals equipped with fundamental understanding and practical skills in artificial intelligence (AI) are essential. This study aimed to validate the effectiveness of AI education for enhancing AI literacy among business major student. Research design, data and methodology: Data for analyzing the effectiveness of the AI Fundamental Education Program for business major students were collected through surveys conducted at the beginning and end of the semester. Structural equation modeling was employed to perform basic statistical analyses regarding gender, grade, and prior software (SW) education duration. To validate the effectiveness of AI education, seven variables - AI interest, AI perception, data analysis/utilization, AI projects, AI literacy, AI self-efficacy, and AI learning persistence - were defined and derived. Results: All seven operationally defined variables showed statistically significant positive changes. The average differences were observed as follows: 0.47 for AI interest, 0.32 for AI perception, 0.37 for data analysis/utilization, 0.27 for AI projects, 0.25 for AI literacy, 0.39 for AI self-efficacy, and 0.41 for AI learning persistence. Statistically, AI interest exhibited the most substantial average difference. Conclusions: Through this study, the applied AI education was confirmed to enhance learners' overall competencies in AI, proving its utility and effectiveness in AI literacy education for business major students. Future research endeavors should build upon these results, focusing on ongoing studies related to AI education programs tailored to learners from diverse academic backgrounds and conducting continuous efficacy evaluations.