• Journal of Internet Computing and Services
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• v.22 no.4
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• pp.51-63
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• 2021

Recently, virtual communication has become a standard tool due to the outbreak of COVID-19. Likewise online communication is emerging as an essential competency. In this study, we aimed to develop a comprehensive and systematic digital literacy measurement tool reflecting the changes and needs of society. Construct variables were drawn by characterizing existing digital literacy measurement tools. Thirty-four items corresponding to the concept of each variable were developed. The developed measurement tool was then evaluated in the form of surveys from university students belonging to the digital native generation, and the reliability and validity were performed through exploratory and confirmatory factor analysis. The digital literacy measurement tool contained five sub-factors and twenty-five questions. In addition, hierarchical regression analysis was performed to verify the predictive validity of digital literacy sub-factors. Based on these findings, the implication of future research is discussed.

• Journal of Korean Library and Information Science Society
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• v.50 no.1
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• pp.357-380
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• 2019

The purpose of this study is to analyze the Elementary and Secondary Education Act(ESEA) of the U.S. reauthorized by the Every Student Succeeds Act in 2015 from the viewpoint of the library and information services, and to derive implications for improving the library and information services. For the first time, ESEA includes effective school library programs and school librarians, and links school library programs and school librarians with literacy, digital literacy, books, resources, up-to-date materials, technology, library services and educational services. It provides a financial and institutional base for library and information services in elementary and secondary schools of the US to be more conducted. In addition, school librarians are required to participate in personalized learning experiences, evidence-based assessments, and professional development in the law, so school librarians must provide library and information services to students, staff, and parents in order to improve student achievement and digital literacy. Based on these analyses, this study discussed strengthening access to the school library, specifying the work of the teacher-librarian's library and information services, strengthening collaboration with school members, educational activities based on evidence base, sharing educational effects and developing of library and information curriculum.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.171-178
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• 2019

Computational Thinking is one of the biggest issues in the era of the Fourth Industrial Revolution. It is a core literacy required not only for SW major but also for all students including them. It is not a simple computer software education, but a coding education based on Computational Thinking, and it should be able to solve the problems in everyday life and to express the process and solutions. However, in the case of students who lack background knowledge on SW and programming languages for development, it is hard to know how to algorithmize problems and express them using computer devices. In this study, we proposed a education course model to improve the students' thinking skills and to express them effectively. In addition, we confirmed whether the non-major students who learned through this education course model can express various problems related to the major field by integrating them with computing accidents and improve the problem solving ability.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.157-162
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• 2022

In a society full of knowledge and information, digital literacy and artificial intelligence (AI) education that can utilize AI technology is needed to solve numerous everyday problems based on computational thinking. In this study, data-centered AI education was conducted while teaching computer programming to non-computer programming students at universities, and the correlation between major factors related to academic performance was analyzed in addition to student satisfaction surveys. The results indicated that there was a strong correlation between grades and problem-solving ability-based tasks, and learning satisfaction. Multiple regression analysis also showed a significant effect on grades (F=225.859, p<0.001), and student satisfaction was high. The non-computer programming students were also able to understand the importance of data and the concept of AI models, focusing on specific examples of project types, and confirmed that they could use AI smoothly in their fields of interest. If further cases of AI education are explored and students' AI education is activated, it will be possible to suggest its direction that can collaborate with experts through interest in AI technology.

• The Journal of Korean Association of Computer Education
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• v.15 no.1
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• pp.1-11
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• 2012

Developing middle and high students' information literacy and creative problem-solving skills in this information-oriented society is very important and for this reason, the subject of informatics has been established. However, little research on creative problem solving literacy of informatics textbooks has been conducted. Therefore, the purpose of this paper is to quantitatively analyze whether 'problem-solving methods and procedures' parts in informatics textbooks in middle schools present creative problem solving literacy or not and in what degree. Data were quantitatively analyzed using the Gil-Su Choi method. The result of data analysis indicated that all the textbooks turned out to be correct range in the category of the "composition of various learning activities," but got out of range in some categories such as "problem-solving process reflection" and "problem-solving strategy proposal". Also a few textbooks haven't satisfied in important indexes and activities. So, we suggest that more 'problem-solving process reflection' and 'problem-solving strategy proposal' parts should be included in the informatics textbook and more various forms of learning activities be utilized well as the ratio of activities needed primary and high mental processes be kept the balance.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.94-101
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• 2022

For the purpose of this study, in order to adapt to the era of intelligent informatization in the 4th Industrial Revolution, we propose an information processing and analysis technology education plan that can solve problems through information search and collection. To this end, first, we explored the necessity and content of information processing and analysis technology in hyperconnection, hyperintelligence, and hyperconvergence under the theme of various majors in IT, focusing on understanding information technology in the software and hardware curriculum. Second, the curriculum improvement plan was proposed based on information literacy, computing thinking skills, and cooperative problem-solving skills for efficient software and hardware-linked curriculum operation based on information processing and analysis technology. Third, I would like to emphasize that it is essential to secure connectivity between other studies for future innovation in new technologies related to computer technology, machine technology, and infrastructure technology through hyperconnection, hyperintelligence, and hyperconvergence in the software and hardware curriculum. Through this, we intend to cultivate creative convergence talent required by the future society.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.2
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• pp.33-57
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• 2023

The main purpose of this research was to discover the characteristics of the 'commons for all' related to public libraries as much as possible, design the learning content, and finally to demonstrate whether the contents meet the general education requirement of universities. The public library is a study hall for multi-literacy, a common place for lifelong learning without discrimination, a place for experiencing digital sharing culture, a place for practicing public architectural design for community regeneration, a workshop for the maker movement and finally, a hub for forming local communities. In short, it has all the characteristics appropriate to being a commons. This subject titled "Sharing Culture and Local Libraries" is designed and composed with various literacy understanding, information ethics of information literacy, community consciousness and multicultural understanding, public consciousness, cooperative spirit and computer utilization ability, interdisciplinary knowledge, and integrated perspective. In a situation where the regional and public crises are increasing, this kind of general education subject about public library, is expected to contribute greatly to raising the awareness of the library and further enhancing the local community togetherness spirit by spreading the value of the library widely to students and inducing them to actually experience various library services.

• Journal of The Korean Association of Information Education
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• v.12 no.3
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• pp.267-274
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• 2008

A neural network is a modeling technique useful for finding out hidden patterns from data through repetitive learning process and for predicting target values for new data. In this study, we built multilayer perceptron neural networks for prediction of the students' computer literacy based on their personal characteristics, home and social environment, and academic record of other subjects. Prediction performance of the network was compared with that of a widely used prediction method, the regression model. From our experiments, it was found that personal characteristic features best explained computer proficiency level of a student, whereas the features of home and social environment resulted in the worse prediction accuracy among all. Moreover, the developed neural network model produced far more accurate prediction than the regression model.

• The Journal of Information Technology
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• v.8 no.3
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• pp.117-129
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• 2005

The topic of this study is a survey research about the economic recognition related to economic ethics and information literacy of students(6,779) extend from elementary school to university. First, for the ability to use computers, it is recognizing that 49.6% of students are normal, 38.6% are superior, and 12.8% are inferior. In part of class, it tends to recognize that it is the superior as the level of school is the lower excepting middle school students. Second, we can find great difference between male students and female students related to purpose of using internet, 79.8% of male students are using computer to play game or entertainment(1), search data or knowledge(2), chatting or massenger(3), 70.1% of female students are using internet to search data or knowledge(1), chatting or massenger(2) and meeting of similar taste. Third, it shows a tendency that the economic activity using internet or cell-phone increases faster as the level of schools is higher. In detail, they primarily use buying or settlement of products(63%), purchasing internet service(20.9%). Fourth, for using illegal CD, not only they didn't feel guilty in all levels of schools, excepting university students, it is showed that the trust of intellectual poverty right is weaker as the level of schools is higher. So, it is becoming serious problems. It seems a task which should be supplemented through economic education of schools in the future.

• ETRI Journal
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• v.43 no.5
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• pp.812-824
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• 2021

Recently, with an increase in Internet usage, users of online social networks (OSNs) have increased. Consequently, privacy leakage has become more serious. However, few studies have investigated the difference between privacy and actual behaviors. In particular, users' desire to change their privacy status is not supported by their privacy literacy. Presenting an accurate measurement of users' privacy status can cultivate the privacy literacy of users. However, the highly interactive nature of interpersonal communication on OSNs has promoted privacy to be viewed as a communal issue. As a large number of redundant users on social networks are unrelated to the user's privacy, existing algorithms are no longer applicable. To solve this problem, we propose a structural similarity measurement method suitable for the characteristics of social networks. The proposed method excludes redundant users and combines the attribute information to measure the privacy status of users. Using this approach, users can intuitively recognize their privacy status on OSNs. Experiments using real data show that our method can effectively and accurately help users improve their privacy disclosures.