• The Journal of Industrial Distribution & Business
• /
• v.12 no.8
• /
• pp.21-32
• /
• 2021

Purpose: With the advent of the era of the 4th industrial revolution, called a new technological revolution, the necessity of fostering future talents equipped with AI utilization capabilities is emerging. However, there is a lack of research on AI education design and competency-based education curriculum as education for business major. The purpose of this study is to design AI education to cultivate competency-oriented AI literacy for business major in universities. Research design, data and methodology: For the design of AI basic education in business major, three expert Delphi surveys were conducted, and a demand analysis and specialization strategy were established, and the reliability of the derived design contents was verified by reflecting the results. Results: As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived from this were data structure understanding and processing, visualization, web scraping, web crawling, public data utilization, and concept of machine learning and application. Conclusions: The educational design content derived through this study is expected to help establish the direction of competency-centered AI education in the future and increase the necessity and value of AI education by utilizing it based on the major field.

• Journal of the Korean Society of School Health
• /
• v.32 no.3
• /
• pp.165-174
• /
• 2019

Purpose: The purpose of this study was to identify the influence of eHealth literacy on health promoting behaviors, thereby providing basic data for the development of interventions for health promoting behaviors among university students. Methods: Data were collected from 242 university students aged 19 and over in a university located in K province in South Korea. Participants responded to structured questionnaires in September 2018. eHealth literacy and health promoting behaviors were measured by eHealth Litaracy (EHL) and a translated version of the Health Promoting Lifestyle Profile (HPLP-II), respectively. The correlation between eHealth literacy and health promoting behaviors were analyzed using Pearson's correlation, and multiple regression analysis was carried out to examine the influence of eHealth literacy on health promoting behaviors. Results: The participants had a moderate level of eHealth literacy with the greatest score recorded in the sub-domain of functional eHealth literacy and the lowest in the sub-domain of critical eHealth literacy. Female students and students who majored in healthcare had higher levels of eHealth literacy than male students and those with non-healthcare majors. The degree of health promoting behaviors was moderate or lower with the highest score being in the sub-domain of interpersonal support and the lowest in the sub-domain of health responsibility. Health promoting behaviors had significant relationships with eHealth literacy, exercise hours, subjective health status, and health concerns. Multiple regression analyses revealed that the participants engaged more in health promoting behaviors when they had greater eHealth literacy (β=.18, p<.001), interest in their own health (β=.33, p<.001), exercise hours (β=.18~.23, p<.001), and subjective health status (β=.17~.18, p=.007~.031). Conclusion: In order to facilitate health promoting behaviors of university students, interventions for health promoting behaviors need to be developed including strategies to improve competencies relevant to critical eHealth literacy and to increase exercise hours.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.295-301
• /
• 2021

This study tried to examine the necessity of AI literacy education to increase the effectiveness of artificial intelligence education ahead of the revision of the next revised curriculum. To this end, AI modeling classes were conducted for high school students and the necessity, content, and training period of AI literacy perceived by students in AI education were investigated through a questionnaire. The results showed that they generally agreed on the need for data utilization and data preprocessing in the AI class, and in the course of the AI class, there were many cases of difficulties due to lack of basic competencies for database use. In particular, it was observed that the understanding of the file structure for data analysis was insufficient and the understanding of the data storage format for data analysis was low. In order to overcome this part, the necessity of prior education for data processing was recognized, and there were many opinions that it is generally appropriate to go to high school at that time. As for the content elements of AI literacy, it was found that there were high demands on the content of data visualization along with data transformation, including data creation and deletion.

• Journal of the Korean Society for Library and Information Science
• /
• v.57 no.1
• /
• pp.115-137
• /
• 2023

The purpose of this study is to present a guide for the development of research data management education programs for researchers affiliated with domestic universities and research institutions. In order to present the relevant program guide, first, we investigated and analyzed educational programs for overseas research data management. The educational programs studied and analyzed are RDMRose, RDMLA, DataONE, Digital Research Alliance of Canada, NNLM, PARTHENOS and Coursera. In addition, in order to confirm the appropriateness of the education program, it was reviewed through the detailed competency of data literacy researched in Korea. As a result of the review, most of the detailed competencies for data literacy were satisfied. Finally, a program guide for researchers was presented by synthesizing the research data management education programs that were investigated and analyzed. The results of this study will help develop research data management education programs that can systematically support and activate researchers belonging to universities and institutions.

• Journal of Korean society of Dental Hygiene
• /
• v.22 no.3
• /
• pp.217-224
• /
• 2022

Objectives: This study aimed to establish the basic data for the performance of patient-centered care, perception of core competencies, and self-development of dental hygienists by verifying the effects of information literacy on the communication ability of dental hygienists, and the mediating effects of job crafting. Methods: Collected and analyzed data by conducting a survey targeting total 222 dental hygienists working for dental hospitals/clinics located in Seoul and Gyeonggi region. Verify the mediating effects of job crafting on the effects of information literacy on the communication ability, this study conducted the correlation analysis and simple regression analysis and multiple regression analysis. Results: In the effects of information literacy on the communication ability of dental hygienists, the cognitive crafting of job crafting (β=0.209, p<0.001) and relational crafting of job crafting (β=0.318, p<0.001) showed the partially mediating effects. Conclusions: In order to increase the educational accessibility for dental hygienists to perceive the importance of information literacy and communication ability, to improve the expertise as healthcare personnel who perform the patient-centered care by developing it, and also to develop the information literacy and job crafting, it would be necessary to develop various educational programs and contents.

• Journal of Digital Convergence
• /
• v.18 no.7
• /
• pp.1-8
• /
• 2020

This study aimed to develop a self-reporting assessment tool for digital literacy competence to use it as a tool for self-diagnosis or effectiveness verification in educational programs, considering that digital literacy competence is one of the core competencies for the present and future society. Based on the previous research on digital literacy competence, the tool was developed with 45 question items of 2 areas and 8 factors. The results of an exploratory factor analysis and confirmatory factor analysis conducted to determine suitability were generally satisfactory based on the assessment data from about 3,000 middle school students. The assessment tools developed in this study are primarily applicable to primary and secondary school and adult education. In future research, if the system is developed to be accessible to anyone online based on this tool, and the accumulated data provide educational information for each individual's self-development, it will greatly contribute to improving the digital literacy competence of the people.

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

• Communications of Mathematical Education
• /
• v.37 no.3
• /
• pp.349-368
• /
• 2023

The revised 2022 educational curriculum highlighted the significance of mathematical literacy as a foundational competency that can be cultivated through the learning of various subjects, along with language proficiency and digital literacy. However, due to the lack of a precise definition for mathematical literacy, there exists a challenge in systematically implementing it across all subjects in the educational curriculum. The aim of this study is to clarify the definition of mathematical literacy in the curriculum through a literature review and to analyze the application patterns of mathematical literacy in other subjects so that mathematical literacy can be systematically applied as a basic literacy in Korea's curriculum. To achieve this, the study first clarifies and categorizes the meaning of mathematical literacy through a comparative analysis of terms such as numeracy and mathematical competence via a literature review. Subsequently, the study compares the categories of mathematical literacy identified in both domestic and international educational curricula and analyzes the application of mathematical literacy in the education curriculum of New South Wales (NSW), Australia, where mathematical literacy is reflected in the achievement standards across various subjects. It is expected that understanding each property by subdividing the meaning of mathematical literacy and examining the application modality to the curriculum will help construct a curriculum that reflects mathematical literacy in subjects other than mathematics.

• Journal of Korean Clinical Nursing Research
• /
• v.29 no.1
• /
• pp.95-106
• /
• 2023

Purpose: This study is descriptive survey research on the analysis of nurses' perception of the 4th industrial revolution and the importance and performance of future core nursing competencies in a tertiary hospital located in Seoul. Methods: Data were collected from 149 nurses with more than a year of work experience and analyzed using descriptive statistics, t-test, one-way ANOVA, and Importance Performance Analysis(IPA) with the IBM SPSS/WIN 25.0 program. Results: The nurses' perception of the 4th industrial revolution was 3.23±0.71 out of 5 points. The importance of future core nursing competencies was 4.31±0.48, and the performance of it was 3.47±0.54. The analysis results of IPA showed that A (area of continuous maintenance) included critical thinking, problem-solving skills, teamwork and collaboration, evidence-based practice, communication, quality improvement and safety, professionalism, self-regulation and self-management, and personal literacy. The specific competencies were not included in B (area of priority improvement). Creativity, informatics, healthcare policy, leadership, research ability, and continuing education were included in C (area of progressive improvement). Knowledge and patient-centered care, ability to manage resources as well as professional, legal, and ethical responsibility were included in D (area of overinvestment). Conclusion: The nurses seemed not to be fully prepared for the 4th industrial revolution. However, they were well aware of the importance of the future core nursing competencies. Therefore, if nurses increase the performance of core competencies in order of priority according to the IPA results, they will be able to independently lead the changing nursing field.

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