• 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.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.182-190
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• 2024

Various artificial intelligence neural network models that have emerged since 2014 enable the creation of new content beyond the existing level of information discrimination and withdrawal, and the recent generative artificial intelligences such as ChatGPT and Gall-E2 create and present new information similar to actual data, enabling natural interaction because they create and provide verbal expressions similar to humans, unlike existing chatbots that simply present input content or search results. This study aims to present a model that can improve the ChatGPT communication skills of university students through curriculum research on ChatGPT, which can be participated by students from all departments, including engineering, humanities, society, health, welfare, art, tourism, management, and liberal arts. It is intended to design a way to strengthen competitiveness to embody the practical ability to solve problems through ethical attitudes, AI-related technologies, data management, and composition processes as knowledge necessary to perform tasks in the artificial intelligence era, away from simple use capabilities. It is believed that through creative education methods, it is possible to improve university awareness in companies and to seek industry-academia self-reliant courses.

• Communications of Mathematical Education
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• v.37 no.3
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• pp.349-368
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• 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 the Korea Society of Computer and Information
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• v.27 no.3
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• pp.225-238
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• 2022

Although the importance of literacy in Artificial Intelligence (AI) education is increasing, there is a lack of testing tools for measuring such competency. To address this gap, this study developed a testing tool that measures AI literacy among middle school students. This goal was achieved through the establishment of an expert group that was enlisted to determine the relevant factors and items covered by the proposed tool. To verify the reliability and validity of the developed tool, a field review, exploratory factor analysis, and confirmatory factor analysis were conducted. These procedures resulted in a testing tool comprising six domains that encompass 30 items. The domains are the social impact of AI (eight items), the understanding of AI (six items), AI execution plans (five items), problem solving with AI (five items), data literacy (four items), and AI ethics (two questions). The items are to be rated using a five-point Likert scale. The internal consistency of the tool was .970 (total), while that of the domains ranged from .861 to .939. This study can serve as reference for developing the analysis of AI literacy, teaching and learning, and evaluation in AI education.

• Educational Technology International
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• v.16 no.2
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• pp.231-247
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• 2015

The purpose of this study was to identify the factors of ICT literacy in the primary school students in South Korea and to examine the gender and city size difference on the factor of ICT literacy. To accomplish this goal, we have analyzed the data of Korea Youth Competency Measurement and International Comparative Study I: ICCS 2016 which is nationally collected from the primary school students, currently on the 5 ~ 6th grades in South Korea. 1,188 samples were used in the study excluding missing samples. The participants were 584 5^th grad and 604 6^th grad students, 620 males (52.2%) and 568 females (47.8%). The mean age was 13.49 years (SD=.52). The result of the study reveals the four factors of ICT literacy through cross-validating exploratory factor analysis and confirmative factor analysis; pleasure of using ICT, perceived usefulness of using ICT, learning ability with using ICT, and operating ability of ICT. This study found that the leaner differ in gender on learning ability with using ICT and pleasure of using ICT. The female students were significantly larger than male students on learning ability with using ICT. However, the male students were significantly larger than male students on pleasure of using ICT. This study found that the leaner differ in city size on the factors of ICT literacy excluding pleasure of using ICT. The students living in the big size city were significantly larger than the students living in the middle and small. That is, over all, female students were more learning with ICT, male students were more interesting about ICT, and the students living in the big size city were more ICT use for learning. Based on the results, some strategies were suggested on the proper use of the factors of ICT in education.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.141-148
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• 2022

Due to the fast development of information and communication technology, many people are enjoying benefits. However, there are those who do not enjoy the benefits of such information technology due to physical disabilities or economic reasons. This class is classified as an information-vulnerable class with so-called digital divide, and the disabled can be said to be a representative information-vulnerable class. The purpose of the paper is to identify the various causes of digital divide and propose improvement measures for the disabled in Korea. For this purpose, the digital divide data by the national institution over the past four years were analyzed. Through various statistical analysis, it was found that the main cause of the digital divide was insufficient information competency among the three factors diagnosing the digital divide namely, information access, information competency, and information utilization. It was also found that the information utilization activities of the disabled were not productive and consumption-oriented

• 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 Service Research and Studies
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• v.11 no.3
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• pp.31-42
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• 2021

This study is a study on theoretical considerations on industrial design data in the era of data economy. This study aims to illuminate the value of industrial design data, interpret the meaning of the transition from design management to the design data era, and highlight the importance of literacy to interpret data for designers. The scope of research approaches the R&D capability dimension of a company to explore the industrial value of design. It limits the scope of research from an industrial point of view rather than the humanistic basis and aesthetic value of design. As a result of the study, it was found that the value of industrial design data is not in ex post evaluation, but in customer-oriented market prediction, and that the design industry data-led strategy is important. The key point is that the industrial design data issues of large companies and SMEs are different, the direction of industrial design data should be to support customer-centered decision making in the product/service development of companies, and the core competency is the amount of data or tools and technologies to handle it. No, it should be in data literals. Lastly, if the use of industrial design data is to be strengthened, management of the public level rather than the personal level of data management should be preceded.

• The Mathematical Education
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• v.58 no.4
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• pp.507-518
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• 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 Industrial Convergence
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• v.21 no.12
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• pp.25-35
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• 2023

The purpose of this study was to investigate the influences of high school students' sexual media literacy awareness and sexual attitude on their gender sensitivity. The subjects of this study were 120 high school students in the city of D, all of who voluntarily agreed to participate in the study. Data were collected from November 28 to December 15, 2022. and analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and hierarchical regression analysis methods using the SPSS 22.0 program. As a result of the study, the influential factors of gender sensitivity were sexual attitude (β=-.317, p<.001), education level of father (β=.305, p<.001), gender (β=.262, p=.001), source of sexual knowledge (β=-.252, p=.001) and awareness of sexual media literacy (β=-.143, p=.045). This study is significant in that it presents academical, practical, and policy recommendation to increase gender sensitivity, which is considered an essential competency in a future society where diversity is emphasized.