• International Journal of Knowledge Content Development & Technology
• /
• v.14 no.3
• /
• pp.115-140
• /
• 2024

With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.27 no.2
• /
• pp.132-143
• /
• 2021

Purpose: The aim of this study was to identify the relationships between health literacy competencies and patient-centered care among clinical nurses. Methods: The participants of this study were 254 nurses working in two hospitals in the D region. The data were collected from July to August 2020. The health literacy competencies for registered nurses scale and individualized care scale were utilized. Descriptive statistics, independent t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis were used for data analysis. Results: The mean of health literacy competencies was 3.16±0.31 points on a four-point scale, and the average of patient-centered care was 3.69±0.50 points on a five-point scale. Regarding the nurses' general characteristics, patient-centered care showed significant differences according to age (F=4.68, p=.010), marital status (t=-2.38, p=.018), religion (F=3.03, p=.030), total clinical experience (F=2.94, p=.021) and prior health literacy knowledge (t=3.20, p=.002). As a result of a hierarchical multiple regression analysis, health literacy competencies (β=.63) were found to significantly influence patient-centered care. The explanatory power of the model was 41.0% (F=25.58, p<.001). Conclusion: The study suggests that nurse's health literacy competencies should be developed in order to improve patient-centered care. Nursing education should include an emphasis on integrating health literacy into the nursing school curriculum.

• Journal of the Korean Society for information Management
• /
• v.35 no.4
• /
• pp.7-36
• /
• 2018

This study aimed to analyze the content of Records Data Management (RDM) training programs provided by 51 out of 121 university libraries in North America that implemented RDM services, and to provide implications from the results. For the content analysis, 317 titles of classroom training programs and 42 headings at the highest level from the tables of content of online tutorials were collected and coded based on 12 data literacy competencies identified from previous studies. Among classroom training programs, those regarding data processing and analysis competency were offered the most. The highest number of the libraries provided classroom training programs in relation to data management and organization competency. The third most classroom training programs dealt with data visualization and representation competency. However, each of the remaining 9 competencies was covered by only a few classroom training programs, and this implied that classroom training programs focused on the particular data literacy competencies. There were five university libraries that developed and provided their own online tutorials. The analysis of the headings showed that the competencies of data preservation, ethics and data citation, and data management and organization were mainly covered and the difference existed in the competencies stressed by the classroom training programs. For effective RDM training program, it is necessary to understand and support the education of data literacy competencies that researchers need to draw research results, in addition to competencies that university librarians traditionally have taught and emphasized. It is also needed to develop educational resources that support continuing education for the librarians involved in RDM services.

• Journal of the Korean Society for information Management
• /
• v.35 no.4
• /
• pp.223-236
• /
• 2018

The purpose of this study is to suggest the concept of data literacy and its detailed competencies based on humanities focused on LIS. To do this, we define the concept of data literacy by comparing and analyzing researches related data literacy, data information literacy, and digital literacy in domestic and foreign. And we design the basic 11 elements of data literacy based on digital humanities concepts. The result of this study is expected to be used as a basic data when design henceforward data literacy framework.

• The Mathematical Education
• /
• v.58 no.4
• /
• pp.507-518
• /
• 2019

The OECD launched the Education 2030 project to develop a learning framework and to conduct the international comparative study on curriculum. As a part of the OECD international curriculum analysis, Korea Institute for Curriculum and Evaluation(KICE) conducted a main study of Curriculum Content Mapping (hereafter, CCM) in the 7 learning areas/subject areas such as national languages, mathematics, humanities/social sciences, natural science, physical education/health, arts, and technologies. The CCM study aimed to identify how the competencies on CCM framework were reflected in the Korea curriculum. For this purpose, KICE identified the competencies on CCM framework, revised the coding framework, and undertook the mapping process. In this study, we gathered the CCM data as an evidence of how competencies on CCM framework were embedded in the 2015 revised mathematics curriculum. For this purpose, experts in mathematics education undertook the mapping process, we summarized the results of CCM main study in mathematics. As the results, numeracy, critical thinking, problem solving, anticipation, action, reflection were perfectly embedded in the 2015 revised mathematics curriculum. the competencies on CCM framework were embedded in the 2015 revised mathematics curriculum, and but literacy, physical/health literacy, trust, learning to learn, reconciling tension and dilemmas, literacy for sustainable development, financial literacy, and entrepreneurship/enterprising were not clearly related to mathematics curriculum. The mapping results should help the Korea Ministry of Education and KICE for preparing the future curriculum revision and development.

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

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

• The Korean Journal of Emergency Medical Services
• /
• v.23 no.2
• /
• pp.7-18
• /
• 2019

Purpose: This study aimed to determine the core competencies for 119 emergency medical technicians (EMTs) and to provide evidence for the development and utilization of 119 EMTs, education and training programs. Methods: Data were collected with a questionnaire that consisted of items on the general characteristics of the subjects (8 items) and importance and satisfaction levels for 10 competencies, including 34 items on subfactors. The Borich Needs Assessment Model was used in designing the questionnaire. A locus for focus model was used to derive the top priority competencies for the improvement of core competency in the profession. Data were analyzed with by SPSS ver.21 (IBM, Armonk, NY, USA). Results: The core competencies for 119 EMTs were derived from technical competency, information competency, communication competency, problem-solving competency, self-development competency and interpersonal competency. In addition, among the sub-factors of these competencies, 16 abilities (including leadership), ability to apply technical knowledge, technical comprehension, conflict management ability, ability to create documents, problem handling ability, ability to think, technical selection ability, and computer literacy were included in the priority category. Conclusion: This study derived and presented the core competencies for 119 EMTs to enable them to meet the modern day requirements of their roles, which may contribute to enhancing their professionalism.

• Journal of The Korean Association of Information Education
• /
• v.24 no.6
• /
• pp.633-641
• /
• 2020

The development of intelligent information technology based on intelligence and data and network technology implemented by artificial intelligence has instigated innovation in society as a whole and has shown wide social and economic impact. Therefore, not only overseas but also in Korea, AI education is in a hurry to cultivate talents who will lead the upcoming society. Data is an important part of artificial intelligence, and data literacy, which can collect, process, and analyze data, to make data-based decisions, can be seen as an important competency to be developed along with AI literacy. Therefore, in this study, an AI data science education program that can increase data literacy of elementary school students was developed and applied to the experimental group, and its effectiveness was verified through a pre- and post response sample t-test. As a result, all of the four detailed competencies of data literacy, data understanding, collection, analysis, and expression, showed statistically significant improvement, indicating that the AI data science education program was effective in improving students' data literacy.

• Journal of the Korean Society for Library and Information Science
• /
• v.40 no.4
• /
• pp.33-61
• /
• 2006

The purpose of this study is to evaluate the effectiveness of online information literacy instruction as liberal arts course offered at Sungkyunkwan university. For this purpose, Curriculum was designed in the way of interactive online tutorials. And the results of pre-and post-tests and the term-end student course evaluation data were analyzed. The results were as follows. Five basic information literacy competencies were improved through Online course. And the effect of Online instruction did show the statistical significance. but had a difference by department. Also, There appeared to be a relatively high level of Students' satisfaction with the curriculum. Therefore, this study revealed that online information literacy instruction as liberal arts course is a highly effective method for teaching information literacy to undergraduate students.