• Advanced Industrial SCIence
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• v.3 no.1
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• pp.1-16
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• 2024

The purpose of this study is to develop a machine learning-based AI convergence class model and class design principles that can foster data literacy in high school students, and to develop detailed guidelines accordingly. We developed a machine learning-based teaching model, design principles, and detailed guidelines through research on prior literature, and applied them to 15 students at a specialized high school in Seoul. As a result of the study, students' data literacy improved statistically significantly (p<.001), so we confirmed that the model of this study has a positive effect on improving learners' data literacy, and it is expected that it will lead to related research in the future.

• The Journal of Information Systems
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• v.30 no.3
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• pp.177-199
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• 2021

Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

• The Mathematical Education
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• v.56 no.1
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• pp.19-39
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• 2017

Taking samples of data and using samples to make inferences about unknown populations are at the core of statistical investigations. So, an understanding of the nature of sample as statistical thinking is involved in the area of statistical literacy, since the process of a statistical investigation can turn out to be totally useless if we don't appreciate the part sampling plays. However, the conception of sampling is a scheme of interrelated ideas entailing many statistical notions such as repeatability, representativeness, randomness, variability, and distribution. This complexity makes many people, teachers as well as students, reason about statistical inference relying on their incorrect intuitions without understanding sample comprehensively. Some research investigated how the concept of a sample is understood by not only students but also teachers or preservice teachers, but we want to identify preservice secondary mathematics teachers' understanding of sample as the statistical literacy by a qualitative analysis. We designed four items which asked preservice teachers to write their understanding for sampling tasks including representativeness and variability. Then, we categorized the similar responses and compared these categories with Watson's statistical literacy hierarchy. As a result, many preservice teachers turned out to be lie in the low level of statistical literacy as they ignore contexts and critical thinking, expecially about sampling variability rather than sample representativeness. Moreover, the experience of taking statistics courses in university did not seem to make a contribution to development of their statistical literacy. These findings should be considered when design preservice teacher education program to promote statistics education.

• 한국노년학
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• v.28 no.4
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• pp.847-863
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• 2008

This study aimed to measure the health literacy among Korean elderly living in the community, and to explore the factors influencing health literacy of the elderly. A descriptive correlational research design was used. The sample consisted of 411 elders who were conveniently selected from the community welfare center users in Seoul and Gyeong-gi province. Data were collected from face-to-face interviews by trained interviewers between January, 7 and February, 4, in 2008. Health literacy was measured by Korean Health Literacy Scale developed by Lee(2008). Descriptive statistics, ANOVA, t-test, and multiple regression were used to analyse the data. In result, the mean score of health literacy was 17.46(${\pm}5.73$) with a range of 0 to 25, 42.8% of elderly had limited health literacy problems. Multiple regression showed that 26.5% of variance in health literacy was accounted for by the combination of education, age, living arrangement, and income. In conclusion, various strategies to improve health literacy in elderly population in the areas of health education and disease management should be needed to reduce health disparities among elderly.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.244-245
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• 2005

• Journal of the Korean Society of Earth Science Education
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• v.15 no.1
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• pp.117-131
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• 2022

The purpose of this study is to develop a board game design activity for environmental education and to investigate how it affects high school students' environmental knowledge, environmental literacy, and creative engineering problem solving propensity. Twenty-five freshman and sophomore students belonging to the environmental club participated in this study. The board game activity was designed as 10 class hours lessons based on the engineering design process. The main data source of this study was pre-post students' conceptual maps of the environmental topics (global warming or ecosystem destruction) to measure the background knowledge on the topic. In addition, the environmental literacy measurement questionnaire and the creative engineering problem solving propensity questionnaire were collected before and after the activity. The result shows that the number of environment-related words described by the students on the post-concept map increased compared to the pre-concept map. In addition, the environmental literacy score and the creative engineering problem-solving propensity score increased significantly after performing the board game design activity. The results show that environmental lessons using board game design activities can help student develop various competencies in a good way. As above, research that combines board games and secondary education must be activated, and a new educational method and systemic support for in-service teachers who want to apply it to science classroom is required.

• Journal of Korean Home Economics Education Association
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• v.35 no.2
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• pp.21-40
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• 2023

The aim of this study was to develop a comprehensive home economics teaching-learning plan, following the stages of analysis, design, development, and evaluation. The focus was on the 2015 revised home economics curriculum, specifically the 'prevention of sexual violence,' to enhance students' digital literacy competencies. In the analysis stage, the necessity of developing digital literacy competencies was confirmed by analyzing the 2022 revised national curriculum. Extracting elements from the 2015 revised home economics curriculum and textbooks, a digital tool utilization plan was designed in the subsequent design stage, aligning with learning goals, content composition, and digital literacy competency for each class. The development stage involved creating teaching-learning materials and digital tools for six sessions, centered around the topic of 'prevention of sexual violence.' In the evaluation stage, six content experts assessed the teaching-learning plans using a 5-point Likert scale and open-ended questions. The validity evaluation confirmed the effectiveness of the teaching-learning plans in improving middle school students' digital literacy competencies. Based on feedback from the experts, the plans for the six sessions were revised, with an additional session added, resulting in a total of seven sessions. It is envisioned that the home economics teaching and learning plans developed in this study can be implemented in home economics classes to foster students' digital literacy capabilities.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.285-293
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• 2021

With the advent of the 4th Industrial Revolution, AI utilization capabilities are being emphasized in various industries, but AI education design and curriculum research as universal education is currently lacking. This study offers a design for universal AI education to further cultivate its use in universities. For the AI basic education design, a questionnaire was conducted for experts three times, and the reliability of the derived design contents was verified by reflecting the results. As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived were data structure understanding and processing, visualization, word cloud, public data utilization, and machine learning concept understanding and utilization. The educational design content derived through this study is expected to increase the value of competency-centered AI universal education in the future.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.347-356
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• 2016

The purpose of this study was to develop and examine the effectiveness (knowledge, attitude, skills of Evidence-Based Practice, and problem solving skills) of nursing information literacy competency enhancement program for nursing students. It is a pre-post design study carried out with a single group of 72 sophomores in a nursing college. Nursing information literacy competency enhancement program of 6 times (8 hours) was provided to nursing students. Our results have demonstrated that knowledge, attitude, skills of evidence-based practice, and problem solving skills were significantly higher in nursing students. In conclusion, the nursing information literacy competency enhancement program was effective in promoting knowledge, attitude, skills of evidence-based practice and problem solving skills. Based on our results, the nursing information literacy competency enhancement program can provide a basis for enhancing evidence-based nursing practice competencies and problem solving skills of nursing students.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.2
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• pp.77-91
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• 2022

Social innovation refers to activities that solve social problems by developing new ideas in cooperation with actors close to the field for the purpose of preserving the sustainability of society. In the field of social innovation, voices calling for a bottom-up method that starts with citizen participation are growing, and the need to improve public officials' awareness of social innovation and strengthen professionalism is being raised. In the era of Covid 19 and the 4th industrial revolution, digital literacy is being emphasized to us. In the field of social innovation, the need to strengthen social activities using digital media is growing. In this paper, an example of online social innovation project education based on the design thinking methodology was presented for public officials in Busan to improve their awareness of social innovation and secure expertise, and the effect of job competency reinforcement was statistically verified. As a result of statistical analysis, the average difference between the 'online communication' factor and the 'online empathy' factor was the largest, and it can be interpreted that digital literacy for social innovation has been strengthened.