• Journal of Korean Clinical Nursing Research
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• v.30 no.1
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• pp.1-10
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• 2024

Purpose: This study aimed to investigate the competency in evidence-based practice, critical thinking disposition, digital literacy, and nursing informatics competence, and to identify the factors influencing the competency in evidence-based practice among nurses. Methods: The participants in this study were 196 nurses from a university hospital in J-city. Data were collected from December 1 to December 30, 2023. The collected data were analyzed with the SPSS 26.0 program using descriptive statistics, independent t-test, one-way analysis of variance, Scheffé test, Pearson's correlation coefficients, and multiple regression analysis. Results: The results showed that the factors influencing the competency in evidence-based practice included nursing informatics competence, critical thinking disposition, digital literacy, and having a master's degree. The participants with a master's degree demonstrated higher competency in evidence-based practice compared to those with a three-year degree or a four-year degree, and a total explanatory power was 53.1%. Conclusion: In this study, critical thinking disposition, digital literacy, and nursing informatics competence were influential factors in competency of evidence-based practice. Therefore, a variety of intervention programs should be developed to enhance the impact of these factors on nurses' competency in evidence-based practice.

• Fourth Industrial Review
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• v.4 no.2
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• pp.1-9
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• 2024

Purpose: While most studies focus on learning styles in face-to-face education, research on online learning environments, especially by age in lifelong education, is limited. This study aims to propose a direction for online learning by analyzing digital literacy and e-Learning learning styles by age in lifelong education. Research design, data and methodology: The study surveyed 100 online learners from an open university in Seoul. Using an e-Learning learning styles test, frequency analysis was conducted by gender, age, and digital literacy. A learning plan was then proposed based on the results. Results: The study found no age-related differences in digital literacy. Both men and women shared similar ratios of Environment-dependent and self-directed learning styles, reflecting the characteristics of online learners using digital devices. Conclusions: In lifelong education, e-Learning design should accommodate diverse learning styles: web/app designs for Environment-independent and self-directed learners, short/long formats for Passive learners, real-time (LMS)/non-real-time (ZOOM) systems for Positive and cooperative learners, and AI/human tutors for Environment-dependent and self-directed learners.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.113-121
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• 2023

This is a descriptive survey research aimed at investigating the level of digital literacy and verifying the impact of digital literacy and academic self-efficacy on problem solving in nursing students, with fousing on digital literacy, which is emerging in the era of the 4th Industrial Revolution. Data were collected between April and May 2022 from 118 nursing students at a university located in K City, and were analyzed using descriptive statistics, two-sample t-test, one-way ANOVA, and multiple regression with the SPSS 18.0 program. The results showed that nursing students generally have good digital literacy, but they struggle with specific areas like material development and information evaluation. Nursing students' digital literacy (β=.311, p=.001), followed by academic self-efficacy (β=.184, p=.048), had a significant impact on problem-solving ability (F=12.237, p< .001), as explanaing 16.1% of the variation. To improve nursing students' digital literacy and problem solving, developing a more structured and situation-oriented nursing education curriculum is needed.

• The Journal of Information Systems
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• v.33 no.2
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• pp.191-218
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• 2024

Purpose This study aims to investigate the relationship between digital literacy and the acceptance of care robots, as well as the mediating role of technology self-efficacy in this relationship. The findings of this research aim to provide foundational data for enhancing older adults' acceptance of new technologies, underscore the significance of bolstering older adults' digital literacy in relation to the adoption of care robot technology, and offer evidence to support interventions aimed at improving technology self-efficacy. Design/methodology/approach This study seeks to investigate the mediating effect of technology self-efficacy on the relationship between digital literacy and acceptance of care robot technology among older adults. Kyunghee University's '2022 Korean Senior Technology Acceptance Panel Survey' was used, targeting 509 people aged 60 or older. Data analysis was performed using SPSS 20.0 software. Independent samples t-tests were used to characterize key variables of interest and correlation analysis was used to evaluate their relationships. To verify the mediation effect, mediation regression analysis along with the Sobel test was used. Findings The study found that improving older adults' digital literacy positively impacts their acceptance of care robot technology through enhanced technology self-efficacy. Active education and experience with digital devices are highlighted as crucial for enhancing older adults' sense of accomplishment and, consequently, their technology self-efficacy. The findings underscore the importance of programs and educational initiatives focused on enhancing digital literacy among older adults to boost technology self-efficacy and increase acceptance of care robot technology within this population.

• International Journal of Knowledge Content Development & Technology
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• v.12 no.4
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• pp.105-117
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• 2022

The study investigated digital literacy skills and utilization of online platforms for teaching by LIS educators in universities in Rivers State, Nigeria. The study was undertaken as a descriptive survey design. Three research questions and three hypotheses guided this study. The population of the study was twenty-six Lecturers from the three universities in Rivers State where library and information science are offered. The twenty-six constitute the sample size. Census sampling technique was adopted for the study. The instrument titled Digital Literacy Skills and Utilization of Online Platform for Teaching Questionnaire (DLSOPUQ) was used to elicit information from the respondents. Twenty-six copies of the questionnaire were administered and retrieved. Mean (${\bar{x}}$) was used to analyze the research questions and the null hypotheses was tested with t-test at 0.05 level of significance. The study revealed that there is no significant difference between digital literacy and utilization of online platforms for teaching by LIS educators in universities in Rivers State. Further findings revealed that LIS educators do not have the necessary skills to navigate the online environment for teaching without assistance. In conclusion LIS educators should be innovative and update their skills to meet up with global practice. It was recommended among others that LIS educators should be trained and retrained by the university management to cope with online teaching and provision of the right infrastructure by governments for effectives teaching and learning process.

• Journal of Practical Engineering Education
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• v.16 no.5_spc
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• pp.677-688
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• 2024

This study aims to analyze differences in digital literacy according to demographic characteristics among university professors and students, and between the two groups. An online digital literacy assessment was conducted through the teaching and learning center websites of universities located in Seoul, Incheon, and Chungcheong provinces. A total of 1,308 university students and 102 professors participated in the study. Data analysis was performed using t-tests and ANOVA with SPSS Ver. 23. The findings revealed statistically significant differences in digital literacy total scores based on gender, academic field, and years of service in teaching for professors, except for rank. For students, significant differences were observed based on gender, grade level, academic major, and birth year. Professors demonstrated higher overall digital literacy, including competencies in adapting to software-centric societies and using SNS for collaboration, compared to students. However, students scored higher than professors in basic office tool proficiency.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1696-1707
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• 2021

With the recent growth of information technology, various literacy such as digital literacy, data literacy, AI literacy is being studied. In this paper, we focus on data visualization literacy as visualization is an essential part of big data analysis and is used in several mobile apps. Visualization Literacy Assessment Test(VLAT) was developed in 2016 and we introduce how the test was developed and modified to a Korean version, K-VLAT. K-VLAT is consisted of 12 visualizations and 53 questions through a website. Additionally, to understand the research trend in visualization literacy we analyzed 81 papers that had cited the VLAT publication. We categorized the research into 4 categories with 11 sub-categories. The area of studies visualization literacy related to was understanding the relation with cognition, expanding the literacy measures, relation with education, utilization for developing user-centric dashboards or using the test to show effectiveness of visualizations. At last, we discuss about different ways to utilize K-VLAT for future research.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.415-421
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• 2024

This study is a descriptive research study to understand the relationship between nursing professional intuition, artificial intelligence ethics, and digital health literacy of nursing college students. There was no difference in nursing professional intuition, artificial intelligence ethics, and digital health literacy according to the general characteristics of the subject. In addition, nursing professionals were found to have a significant positive correlation with artificial intelligence ethics consciousness and digital health literacy, and artificial intelligence ethics consciousness was found to have a significant positive correlation with digital health literacy. These results can be used as basic data for preparing educational programs that can strengthen digital health literacy capabilities by cultivating artificial intelligence ethics as well as nursing professionals of nursing college students.

• 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 Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.73-86
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• 2023

The purpose of this study is to prepare basic data that can be applied to the development of personalized programs in which chronic patients can actively participate in health care on their own, by analyzing the relationship between health literacy, level of metal health, and level of life health of patients with chronic diseases. For the study, the Korean Medical Panel's annual data(Version 2.1) was used, and 4,095 people aged 19 or older with chronic diseases and without disabilities were extracted, and frequency analysis, t-test, ANOVA, and chi-squared goodness of fit test, etc. were performed with IBM SPSS Statistics 26.0. As a result, it was found that the higher health literacy, the higher level of mental health and level of life health. In addition, the distribution between health literacy, level of mental health, and level of life health was found to be different from each other. Respondents with higher ability to health literacy tend to evaluate level of metal health and life health lower, and the rate of change in this trend was relatively higher than the rate of change in the tendency to evaluate level of mental health and life health higher in respondents with lower ability to health literacy.