• Journal of Digital Convergence
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• v.13 no.10
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• pp.33-40
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• 2015

Today the computerization in overall civil life is globally progressing, and software plays a central role in all interdisciplinary areas of society. These changes of information environments lead to the change of values and paradigm shift, and the change of Korean educational policies is also happening. As human-machine interaction is becoming ubiquitous, code literacy is going to play an important role before long. Despite these transitions, information education in universities in Korea focuses on just driving application programs. In this paper, we explore overall educational system and curriculum of universities in Korea. And we present educational factors corresponding to educational levels and contents. Presented five factors coupling three educational contents and three educational levels may be dedicated to design curriculum.

• Journal of Korean Home Economics Education Association
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• v.32 no.2
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• pp.99-115
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• 2020

The purpose of this study is to analyze the relationship between home economics curriculum and media literacy education. For this purpose, 12 kinds = types of learning materials for middle school 'Technology·Home Economics 2' textbooks were analyzed. After selecting 'Media Literacy Performance Goals(MLPG)' as the basis for analysis, the distribution of media data and reflection of MLPG were analyzed by frequency and content analysis. The results of this study are as follows. First, 39.6% of the learning materials using media materials out of the total learning materials of 12 textbooks, and there were differences in the frequency and weight of learning materials using media materials by publishers. Depending on the type of media, 68.3% of 'printing', 16.7% of 'images, video', 13.5% of 'digital', and 86.5% of the use of unidirectional media. Second, there was a difference in frequency and weight of learning materials reflecting the MLPG by publishers, and it was necessary to supplement the learning content to improve overall media literacy. Among the MLPG reflected in the learning materials, 'meaning and communication' was the most reflected performance goal, with 58.8%, but there was no two-way communication through the media. Based on the results of these textbook analysis, MLPG in Home Economics are revised as follows. 'Understanding the meaning and self-expression', 'Communication and social participation', 'Use of responsible media', 'Appreciation and enjoyment', 'Use of media technology', 'Information search and selection', 'Creation and production', 'Critical understanding and evaluation'.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.97-108
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• 2017

Web 2.0 paradigm and technologies allow users to contribute their information voluntarily and actively to online community. This paper aims to investigate key determinants of information contribution in online communities. We come up with the research model and proposed hypotheses on the basis of intensive literature review on motivation theory, information literacy, and self expression. Using survey response date collected from those who have ever experienced in uploading or providing information on online community such as social media. A total of 262 survey responses were used to test research hypotheses. The results show that self expression motive influences on information representation capability(IRC) and information contribution. The impact of Information literacy on IRC is found to be significant, and IRC is positively related to information contribution. In addition, approval motive is proven to be key determinant of IRC and information contribution. Some practical implications of these findings are discussed.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.201-207
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• 2021

As artificial intelligence gradually expands into jobs, iIt is necessary to nurture talents with AI literacy capabilities required for non-majors. Therefore, in this study, based on the necessity and current status of AI education, AI literacy competency improvement education was conducted for non-majors so that AI learning could be sustainable in relation to future majors. For non-majors at University D, problem-solving solutions through project-based data analysis and visualization were applied over 15 weeks, and the AI ability improvement and effectiveness of learners before and after education were analyzed and verified. As a result, it was possible to confirm a statistically significant level of positive change in the learners' data analysis and utilization ability, AI literacy ability, and AI self-efficacy. In particular, it not only improved the learners' ability to directly utilize public data to analyze and visualize it, but also improved their self-efficacy to solve problems by linking this with the use of AI.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.357-367
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• 2019

This study was to investigate the effects of workers' attitudes to internet health information(AIHI), e-health literacy(eHL) on internet health information seeking behavior(IHISB) and health-related behavioral intention(HBI). 152 workers conducted the structured questionnaires from May to July 2017. Data analyzed by t-test, ANOVA, and multiple regression analysis. Factors affecting IHISB were identified to be eHL (${\beta}=.33$, p<.011), and perceived usefulness for internet health information(PU)(${\beta}=.28$, p=.002), and factors affecting HBI were identified to be PU(${\beta}=.33$, p=.001), information utilization(IU)(${\beta}=.24$, p=.003), and eHL(${\beta}=.18$, p=.002). As above results, considering the eHL of workers, it is necessary to build an internet health information system and develop education program that increase IU.

• 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 Internet of Things and Convergence
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• v.7 no.3
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• pp.47-54
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• 2021

This study was aimed to understand the recognition of care robots which would enhance the medical quality of life under the 4^th industrial revolution in the university students majoring in health and engineering who would lead the development of the future medical industry and to find out the differences of their digital literacy and empathic ability. This was a descriptive correlation study to analyze the recognition of university students on care robots, their digital literacy and empathic ability. Both students majoring in health and engineering recognized the needs of care robots, while their education experiences were not sufficient. Moreover, statistically fewer university students majoring in health heard about care robots than those in engineering, and their need of taking classes was lower, too. No statistically significant differences were found in digital literacy and empathic ability between the two majors, while significant difference was found in the relationship bundling capability out of behavioral empathy, a sub-domain of empathic ability. The study results are anticipated to suggest the future educational direction in the medical field according to the 4^th industrial revolution and to be the fundamental data for understanding and preparation of the students depending on the majors.

• Informatization Policy
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• v.29 no.1
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• pp.60-83
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• 2022

The purpose of this study is to empirically analyze the effect of individual perception of artificial intelligence and the level of digital literacy on the acceptance of artificial intelligence-based public services. For empirical analysis, a research model was set up based on the technology acceptance model and planned behavior theory using survey data of 2017 and analyzed through structural equations. To summarize the results of the analysis, firstly, the positive perception of individuals about artificial intelligence technology plays a role in reinforcing attitudes toward benefits and reducing concerns about public service in which artificial intelligence technology has been introduced. Secondly, the level of digital literacy reinforces both benefits and concerns about artificial intelligence technology, but it was found that the intention to use public services was reinforced through the benefits of artificial intelligence technology perceived by individuals, rather than privacy concerns about artificial intelligence technology. Thirdly, it was confirmed that the perceived benefits of individuals on artificial intelligence technology reinforced the intention to use public civil services, and privacy concerns negatively influenced the intention to use. It was confirmed that the influence of a perceived ease of use and usefulness, as opposed to privacy concerns, further reinforces the intention to use. Both citizens' positive perceptions regarding the accuracy and reliability of information provided through artificial intelligence technology and institutional complementation of responsibility for errors caused by artificial intelligence technology are strengthened, and technical problems related to privacy protection are solved.

• Industry Promotion Research
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• v.8 no.3
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• pp.37-50
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• 2023

The purpose of this study is to study the impact of knowledge sharing behavior, self-efficacy, team collaboration, and job autonomy on organizational innovation among the smart work characteristic factors for members of small and medium-sized venture companies, and to study the differences according to generation/digital literacy level. It is to provide implications so that it can be reflected in the organizational innovation of venture companies. As a result of the analysis, it was found that knowledge sharing behavior and team collaboration had an effect on organizational innovation, while self-efficacy and job autonomy did not affect organizational innovation. In addition, as a moderating effect, it was confirmed that there were differences in self-efficacy and team collaboration according to the level of digital literacy, and differences in knowledge sharing behavior, self-efficacy, and team collaboration by generation. Therefore, in this study, we identified important influencing factors for organizational innovation according to changes in the smart work environment of small and medium-sized venture companies, and suggested ways to secure corporate competitiveness. It suggests that organizational innovation can be strengthened only by confirming the relationship between organizational innovation and finding ways to develop and utilize differentiated capabilities.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.26-37
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• 2021

This study conducted a big data analysis on news to identify the agenda of media literacy, which has been socially discussed, and on which relevant policy directions will be proposed. To this end 1,336 articles from January 1, 2019 to September 30, 2020 were collected and a topic modeling analysis was conducted according to four periods. Five topics for each period were derived through the analysis, and implications based on the results are as follows. First, the government should implement a nation-level systematic approach to media literacy education according to life cycle stages to generate economic and cultural value. Second, local communities and schools should provide systematic support and education guidance activities to ensure a sustainable ecosystem for media literacy and prevent an educational gap and loss in learning. Third, efforts should be made in various aspects to minimize the side effects resulting from constantly providing media literacy education; furthermore a culture of desirable media application should be established. Finally, a research environment for scientific research on media literacy, active exchange of experience and value obtained in the field, and long-term accumulation of research results should be encouraged to develop a robust knowledge exchange culture.