• Journal of Korean Elementary Science Education
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• v.37 no.3
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• pp.309-322
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• 2018

There is no doubt that science -and, therefore, science education- is central to the lives of all (NGSS, 2013). This manuscript focuses on ideas in astronomy that are at the foundation of elementary students' understanding of the discipline: the apparent motion of the sun explaining the day / night cycle on Earth. According to prior research demonstrating that neither children nor adults hold a scientific understanding of the big ideas of astronomy (NRC, 1996), understanding of concepts may base students' progress towards more advanced understanding in the domain of astronomy. We have analyzed the logic of the domain and synthesized prior research assessing children's spatial representation from an earth- and a space based perspective to develop a set of learning trajectories that describe how students' initial ideas about apparent celestial motion as they take school science can be build upon. In this study elementary students' representations were compared by their resident context including urban and rural. This study may present a first look at the use of a learning progression framework in analyzing the structure of astronomy education. We discuss how this work may eventually lead towards the development and empirical testing of how children learn to describe and explain apparent patterns of celestial motion.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.1-21
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• 2021

Recently, the importance of entrepreneurship based on innovative ideas is being emphasized. Most startup companies misunderstand that a good solution is a good idea, so they try to start a business by choosing an idea that prioritizes solutions, products, and technology rather than problem-first. However, to be a successful startup, it is essential to focus on the quality of the problems your customers are trying to solve. The online community is a place where many people exchange their thoughts and communicate with each other through a network, and communities about consumption, a concern of modern people, are developing. Against this background, this study proposed an integrated methodology that combines big data and netnography analysis so that entrepreneurs can use online community data to derive customer-centered startup ideas. The integrated methodology was verified based on the actual start-up case, who derived a startup idea based on the data of domestic cloth diapers online cafe. The case company found customer problems based on online community data and used it to develop startup items and new products. The integrated methodology for deriving entrepreneurial ideas in this study is expected to be an important guideline that explains in detail the consumer-centered idea derivation process.

• Knowledge Management Research
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• v.8 no.2
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• pp.1-16
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• 2007

This paper describes the Blue Ocean Strategy and Business TRIZ (Russian Theory of Inventive Problem Solving) Tactics as one method for knowledge creation and innovation. The opening new market avoiding keen competition is very popular recently and is not just prosper, but survival problem. As one new strategy for finding new market, the Blue Ocean Strategy gives the big blueprint for new market, but has no enough tools to make more concrete ideas. In this paper, we suggest using the Strategy Campus and other tools in the Blue Ocean Strategy at initial stage and then, compensating the TRIZ principles to make more concrete ideas for new market as tactics. We applied it to find the new market for conventional newspaper industry and EBS (Education Broadcast System) management innovation in Korea as case studies and got better results comparing to using only the Blue Ocean Strategy.

• Journal of the Korean association of regional geographers
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• v.21 no.1
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• pp.192-205
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• 2015

This study proposes a device for the organizational frameworks and essential (content) elements of world realms in world regional geography subject. Here, the term 'organizational framework' means the method of realms division, reasonable number and naming of realms, and approaches to reams inclusively. And the term 'essential elements' designate the core elements as big ideas that every student must study through world reams. To approach these thesis, the author suggests that there is a growing trend of a combined regional concept to apply for reams division, that it is necessary to rationalize the number of realms and to prepare rather a synthetic approach to realms than a single one. And then, the author presents five essential elements as big ideas of world reams that composed of four by thematic approach and one by global-issue approach. But, this study emphasizes that in organizing the essential elements for a realm it is a better strategy to bring elements selectively with a realm because certain element fulfils function specially to certain realm.

• The Journal of Korea Robotics Society
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• v.2 no.4
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• pp.346-352
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• 2007

As the new industry of this 21centuries, theme park is the important position to the front leader countries as a new growth engine due to its industrial-economical and cultural-social effect. While domestic theme park industries show lower competitive position with global theme park in aspect of management and qualities and have weak brand power. The global situation of present service robot industry of the world is the beginning stage and the time for strengthening competitive position and the best opportunity becoming global leader of world markets by prior occupation through provision of factitious market creating big demand. Robot theme park is possibile to provide such big demand of various robot and this paper present of ideas for robot theme park.

• Journal of the speleological society of Korea
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• no.4
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• pp.69-78
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• 1996

During the year and a half of preparation for the Untnmed Ri Expedition (Caves $ Caving 29 p. 29) a lot of time was devoted developing the techniques we would use to explore the roaring wh waters of Nare. We finally left for New Britain with a whole new set caving rules and hardware which would not be out of place in an Indi Jones movie. The first serious work to tackle this new problem in caving wa pioneered by the French in 1978 after the discovery of the Nare. M and Kavakuna - all big river caves with flows of 15-20 cumes. We tir out these techniques on the white water rivers of north Wales. ma some improvements and tested some new ideas. This articles is a summary of our research and experience.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.113-119
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• 2020

Numerous tourist-related data produced on the Internet contain not only simple tourist information but also diverse ideas and opinions from users. In order to derive meaningful information about tourist sites from such big data, the social network analysis of tourist keywords can identify the frequency of keywords and the relationship between keywords. Thus, it is possible to make recommendations more suitable for users by utilizing the clear recommendation criteria of tourist attractions and the relationship between tourist attractions. In this paper, a recommendation system was designed based on tourist site information through big data social network analysis. Based on user personality information, the types of tourism suitable for users are classified through deep learning and the network analysis among tourist keywords is conducted to identify the relationship between tourist attractions belonging to the type of tourism. Tour information for related tourist attractions shown on SNS and blogs will be recommended through tagging.

• Electronics and Telecommunications Trends
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• v.36 no.3
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• pp.133-144
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• 2021

High-performance computing (HPC) is the underpinning for many of today's most exciting new research areas, to name a few, from big science to new ways of fighting the disease, to artificial intelligence (AI), to big data analytics, to quantum computing. This report captures the summary of a 9-day program of presentations, keynotes, and workshops at the SC20 conference, one of the most prominent events on sharing ideas and results in HPC technology R&D. Because of the exceptional situation caused by COVID-19, the conference was held entirely online from 11/9 to 11/19 2020, and interestingly caught more attention on using HPC to make a breakthrough in the area of vaccine and cure for COVID-19. The program brought together 103 papers from 21 countries, along with 163 presentations in 24 workshop sessions. The event has covered several key areas in HPC technology, including new memory hierarchy and interconnects for different accelerators, evaluation of parallel programming models, as well as simulation and modeling in traditional science applications. Notably, there was increasing interest in AI and Big Data analytics as well. With this summary of the recent HPC trend readers may find useful information to guide the R&D directions for challenging new technologies and applications in the area of HPC.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.313-334
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• 2021

This study aimed to analyze AI research trends related to elementary, middle, and high school education. To this end, the related literature was collected from the SCOPUS database and the publication period of the collected literature was from 1974 to March 2021, with 154 journal papers and 571 conference papers. Research trends were analyzed based on the co-occurrences analysis technique of 4,521 words of author keyword and index keyword included in these papers. As a result of the analysis, big data, data mining, data science and deep learning were found as the latest research trends with machine learning and there was a difference between elementary, middle and high school education. It can be seen that elementary school had a lot of robot-related research, middle school had a lot of game and data-related research, and high school had various and in-depth research. In discussion, we mapped the top 50 words common to elementary, middle, and high schools with the 'Artificial Intelligence Basics' curriculum of Korean Government and '5 Big Ideas' of the United States Government so that AI research can be viewed at a glance.

• The Mathematical Education
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• v.63 no.2
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• pp.255-272
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• 2024

This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.