• Information Systems Review
• /
• v.18 no.2
• /
• pp.39-57
• /
• 2016

Previous studies on the success factors of big data implementation have called for future research and further examination of the top management leadership's impact. This research proposes and empirically tests three hypotheses, including how top management leadership can directly affect big data investment, how it can mediate the causal relationship between big data investment and idea usefulness, and how it can mediate the relationship between idea usefulness and business utilization. Based on the data collected from 108 big data users in Korean companies, we determined that all three hypotheses are statistically significant. By shedding light on top management leadership and its characteristics, we can provide better suggestions on what needs to be done to ensure the success of big data.

• Journal of the Korean earth science society
• /
• v.44 no.1
• /
• pp.47-61
• /
• 2023

Rather than an abstract discourse, the purpose of this study is to outline the core concepts in the 2015 revised curriculum as a concrete teaching and learning method in the school context. We interviewed eight secondary science teachers and reported their perceptions and perspectives on core concepts using a backward design model based on the cyclical process of the platform, deliberation, and design for developing teaching and learning materials to understand core concepts. The participants perceived these core concepts differently, such as big ideas corresponding to the ultimate principle, minimum science concepts required for daily life, and primary and significant key concepts. In addition, this affects the association of teaching and learning. When core concepts are understood as transferable and expandable big ideas, there is a tendency to focus on the relationship between concepts and design project learning in a specific direction. However, if core concepts are identified as minimum science concepts at the level of science literacy, that can be recalled within the context of life, there is a tendency to emphasize on activities that make a meaningful difference to the lives of students with focus on case studies that are relevant to everyday life. Once core concepts are identified as key scientific content elements, such as basic or significant concepts, teachers recognize that it is essential to emphasize concept changes by correcting misconceptions, acquiring accurate scientific knowledge, and developing problem-solving items through paper-and-pencil evaluation. As the 2015 revised curriculum is finalized and the 2022 revised curriculum is scheduled for release, effective policy support is required to ensure that the curriculum is revised, which emphasizes the purpose of big ideas by naming core concepts as core ideas, to be stably implemented in schools.

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

• Journal of the Korean Society of Earth Science Education
• /
• v.14 no.1
• /
• pp.33-47
• /
• 2021

This study developed a big data-based STEAM (Science, Technology, Engineering, Art & Mathematics) program using WWT (World Wide Telescope), focusing on content elements of 'solar system', 'star and universe' in the 2015 revised science curriculum, and in order to find out the effectiveness of the STEAM program, analyzed creative problem solving, STEAM attitude, and STEAM satisfaction by applying it to one middle school 176 students simple random sampled. The results of this study are as follows. First, we developed a program to encourage students to actively and voluntarily participating, utilizing the astronomical data platform WWT. Second, in the paired t-test based on the difference between the pre- and post-scores of the creative problem solving measurement test, significant statistical test results were shown in 'idea adaptation', 'imaging', 'analogy', 'idea production' and 'elaboration' sub-factors except 'attention task' sub-factor (p < .05). Third, in the paired t-test based on the difference between the pre- and post-scores of the STEAM attitude test, significant statistical test results were shown in 'interest', 'communication', 'self-concept', 'self-efficacy' and 'science and engineering career choice' sub-factors except 'consideration' and 'usefulness / value recognition' sub-factors (p < .05). Fourth, in the STEAM satisfaction test conducted after class application, the average values of sub-factors were 3.16~3.90. The results indicated that students' understanding and interest in the science subject improved significantly through the big data-based STEAM program using the WWT.

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

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.367-368
• /
• 2023

4차 산업혁명으로 다양한 기술과 아이디어가 생겨나고 있고, 이를 보호하기 위한 특허는 그 등록 건수가 매년 증가하는 추세이다. 그러나 현재 특허문서를 분류하는 과정을 수동으로 진행하고 있기에 이를 자동으로 진행할 수 있는 분류기를 생성할 필요를 느꼈고, 본 논문에서는 특허문서를 분류기에 적용할 데이터의 전처리 과정 중 데이터 변환과 통합 과정을 다루었다.

• Journal of The Korean Association For Science Education
• /
• v.37 no.6
• /
• pp.981-992
• /
• 2017

This research compares the subjects of "Integrated Science" and "Converged Science" in the 2015 Revised National Curriculum, through core concepts. The content priorities and levels of integration of each core concept were evaluated through an analytical framework, and visualized using two-dimensional visualization matrix of the content priorities and the levels of integration. The results show that "Integrated Science" had fewer core concepts, higher in priorities and slightly lower levels of integration than "Converged Science". This can be an evidence that "Integrated Science" is excellent in rigor and not so much inferior in relevance. And also, through visualization of analysis results, the characteristics of integrated subjects could easily be understood and compared.

• The Journal of Bigdata
• /
• v.6 no.2
• /
• pp.181-195
• /
• 2021

Interest in the transition to MyData beyond the use of personal data is high worldwide. In order for the ideology of MyData to be realized, various useful MyData services would be developed in practice. Above all, convergence must be premised for the development of MyData. This study proposed strategies for activating MyData convergence services from four perspectives (BLTS: Business, Legal, Technology, and Social). In particular, the purpose w as to revitalize domestic convergence services by comparing European policies and services, which are the most pioneering in the field of MyData, with the domestic situation. It is expected that this study will provide balanced and progressive ideas in the MyData industry and policies.

• Journal of Advanced Navigation Technology
• /
• v.18 no.5
• /
• pp.524-531
• /
• 2014

In this paper, we have proposed the processing and analyzing the linked open data (LOD), a kind of big-data, using resources of cloud computing. The LOD is web-based open data in order to share and recycle of public data. Specially, we defined the InfograaS (Info-graphic as a service), new business area of SaaS (software as a service), to support visualization technique for BA (business analytics) and Info-graphic. The goal of this study is easily to use it by the non-specialist and beginner without experts of visualization and business analysis. Data visualization is the process to represent visually and understand the data analysis easily. The purpose of data visualization is to deliver information clearly and effectively by chart and figure. The big data of public data are shared and presented in the charts and the graphics understood easily by various processing results using Hadoop, R, machine learning, and data mining of open source and resources of cloud computing.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.1
• /
• pp.83-92
• /
• 2023

The purpose of this research is to develop a creative education program that utilizes AI education program based on big data for general education high schools, and to investigate its effectiveness. In order to achieve the purpose of the research, we developed a creative education program using artificial intelligence based on big data for first-year general high school students, and carried out on-site classes at schools and a validation process by experts. In order to measure the creative problem-solving ability and class satisfaction of high school students, a creative problem-solving ability test was conducted before and after the program application, and a class satisfaction test was conducted after the program. The results of this study are as follows. First, AI education program based on big data were statistically effective to improve the creative problem solving ability according to independent sample t test about 'problem discovery and analysis', 'idea generation', 'execution plan', 'conviction and communication', and 'innovation tendency' except 'execution', 'the difference between pre- and post-scores of male student and female student' on first year high school students. Secondly, in satisfaction conducted after classes of AI education program based on big data, the average of 'Satisfaction', 'Interest', 'Participation', 'Persistence' were 3.56 to 3.92, and the overall average was 3.78. Therefore, it was investigated that there was a lesson effect of the AI education program based on big data developed in this research.