• Journal of the Korean Society for Library and Information Science
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• v.53 no.1
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• pp.159-179
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• 2019

The purpose of this study is to re-approach the concept of data literacy, to describe the differences with other literacies along with the redefined concept of data literacy. Also, it is tried to find out why and how to use data literacy for library and information services. Research has shown that data literacy plays a central role in interacting with other literacy concepts, and should be understood as a data-driven problem-solving ability that is essential for the future human society. Based on these concept definitions, we propose the application of data literacy to library information service in terms of education service and research support service. In this study, data literacy is defined as the ability to utilize data needed by users in a data - based society, is to explain why data literacy is the ability to utilize data for users in modern society by distinguishing differences from other literacy. This concludes with a discussion and proposal on what library information services can be implemented.

• Journal of The Korean Association of Information Education
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• v.23 no.3
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• pp.273-282
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• 2019

In this study, we have look through the national progress of computer science education in South Korea and analyzed the main subjects and contents of each period. We suggests the ways to evolve the current computer science education in terms of class hours for computer science education, hierarchical instructions, and the limitation of current national curriculum. In South Korea, it has been leaded the computer science education in the world since the it was promoted in earnest since 1995. Based on the recently revised national curriculum, South Korean government are taking efforts to nurture a leader through computer science education in terms of the students' future skills. However, it should be promoted to strengthen the ability of not only problem-solving ability through programming education, but also balanced computing and digital literacy through enhancing the ICT skills. In order to improve the curriculum of computer science education in elementary school of South Korea, a sufficient class hours of computer science education should be secured first.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.385-394
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• 2019

Computer education in France has begun in the 1960, and the education system covering elementary and middle school was completed in 2018. Since the industrialization of France, the research on the instructional method and system on computer science education had been conducted for over 60 years as a core skill to prepare for the future society. There are four major implications we have figured out in this study. First, each achievement goal to be achieved is set based on the hierarchy of school grades. Second, the full establishment of computer science education was completed in three years after the curriculum was announced in France. Third, the contents are presented to enhance problem solving ability through programming algorithms based on the balance between computer literacy and the concepts of computer science. Fourth, the contents of integrated computer science education is considered with in the lower grades of elementary school, and it is proposed to deepen understanding and programming of computer literacy and the concept of computer science as the grade and school level get higher.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.2
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• pp.139-148
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• 2019

The paper proposes an analytical framework for the impact of technical change on business model innovation. Based upon the examination of the relationship between the mission of business and technology, it introduces classification of technology-based business models such as problem-solving model, production model and network model, respectively employing intensive technology, interlinked technology and mediating technology as a key technology. The discussion of various cases of business model innovation shows that the impact of digital technology is first translated into the value generation in terms of efficiency or effectiveness. These new values then enable a new business model which is based on a different key technology through business model shift, expansion, unbundling, or platform. Quite often those business model changes involves system-wide innovation. The framework for the analysis of the impact of technical change on business model innovation is presented with directions for future research.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.75-82
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• 2019

In the era of the 4th Industrial Revolution when ICT and convergence are emphasized, companies want talented people with a wide range of complex problem solving competencies, system competencies as well as major knowledge. This study examined the difference in perceived competency needed for future accounting officers using 166 valid questionaries prepared with 4 factors based on previous researches. The result shows that the workers, who majored in accounting and have more than 5 years of company experience, and the CEOs think the social competence is the most important while the accounting professors think the major competence is the most important qualification. These results indicate that, in order to reflect the industrial needs, the colleges should change their accounting major curriculums to provide various competences such as the social competence in addition to the basic major competence.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.53-74
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• 2018

This study theoretically examines the essence of the competencies, qualifications and grades newly required in the era of the 4th industrial revolution, points out that the engineer rating system does not reflect the new talent and practical capability, and conducts theoretical and empirical analyzes on improvement of the rating system. The current rating system need to be improved because it is not possible for graduates and experience workers to upgrade. Also, it is reasonable that the current highest grade of engineer, the Professional Engineer, which is a sort of qualification, is not a grade but a function of calculating the grade. Based on this theoretical background, empirical analysis of the question investigation and focus group interview shows that the rating system should be improved to four grades or return to the previous system in 2013. And if it is reduced to four grade, it should go in the way that the professional engineer and the qualified engineer combined. In the industry, the future skills of engineers are as follows : qualification, ability to use emerging technology, problem solving, understanding and utilization of major, and data management, etc. These can be summarized as qualification, education (degree) and career. In particular, the engineering industry considers qualifications, degrees, and career experience, and career experience as the most important elements of the rating system. In this regard, it is necessary to introduce a method that accurately reflects the career experience in the improvement of the engineer rating system.

• Journal of Korean Society of Rural Planning
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• v.27 no.3
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• pp.85-92
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• 2021

As the paradigm of green has been expended as the core of sustainable development in Korea, agro-healing projects increasingly have been a priority at the national policy and investment area. But little is known about the current overview of national research and development(R&D) related to agro-healing. The aim of this study was generally to investigate the research trends of national R&D related to agro-healing over the past five years. Dataset were gathered from provided by National Science & Technology Information Service(NTIS), word cloud techniques were applied. The main results showed that amounts of number and funding related to agro-healing projects have been increasing. In particular, the Rural Development Administration had the highest number of research, and it was found that the Ministry of Trade, Industry and Energy have spended a lot of money on agro-healing. As a results, it is necessary to expand the scope of the field of agro-healing projects, especially at the multisectoral and intersectoral level for improving health, well-being and a sustainable future.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.3
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• pp.196-210
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• 2020

According to many researches, invention education relates to improvement of students' creativity and problem solving skills, which are essential in future. So effective invention education is necessary. This study is to analyze creativity factor, family background and parenting style of three korean inventors in elementary textbooks through narrative inquiry and find similarities. As a result of study, all three inventors had intellectual curiosity, originality, productive thinking and sophistication. And they were born in wealthy families and had a member who support them. Also, their parents had secure attachments to them, actively participated in their education and were the first person who found their creativity.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.319-328
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• 2021

The purpose of this study is to develop core competencies for gifted education by utilizing Delphi survey methods and to present behavioral element selection and scale questions based on the definition of competencies. First, the core competence for gifted education was selected through literature analysis, and the first Delphi survey was conducted to verify that the definition of each competency is suitable for the competency name. Subsequently, through a second Delphi survey, detailed questions were developed and verified by expressing the capabilities required to develop core competencies as behavior elements. Through two rounds of Delphi surveys, eight key competencies were finally selected: attitude and practice willingness, communication and collaboration, information processing and tool utilization, creative problem solving, convergence and application, higher-order inference, community spirit, and learning achievement orientation. This study is meaningful in that it selects core competencies and behavior elements for gifted education that are necessary to pursue goals that meet social needs and it presents tools to measure the degree of competency improvement for gifted education.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.3 no.2
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• pp.67-72
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• 2022

Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.