• Journal of Elementary Mathematics Education in Korea
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• v.22 no.3
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• pp.309-330
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• 2018

The purpose of this study is to identify possibility of a mathematical problem posing ability by presenting problem posing tasks with different degrees of structure according to the study of Stoyanova and Ellerton(1996). Also, the results of this study suggest the direction of gifted elementary mathematics education to increase mathematical creativity. The research results showed that mathematical problem posing ability is likely to be a factor in identification of gifted students, and suggested directions for problem posing activities in education for mathematically gifted by investigating the characteristics of original problems. Although there are many criteria that distinguish between gifted and ordinary students, it is most desirable to utilize the measurement of fluency through the well-structured problem posing tasks in terms of efficiency, which is consistent with the findings of Jo Seokhee et al. (2007). It is possible to obtain fairly good reliability and validity in the measurement of fluency. On the other hand, the fact that the problem with depth of solving steps of 3 or more is likely to be a unique problem suggests that students should be encouraged to create multi-steps problems when teaching creative problem posing activities for the gifted. This implies that using multi-steps problems is an alternative method to identify gifted elementary students.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.15-27
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• 2020

In the design process that focuses on problem solving, in general, two or three barriers to design creativity appear at the same time and are linked to increase difficulty. Because the design problem always arises in unusual, unique, weird, and difficult to define, it is not possible to extract the correct answer through the formula and the answer is always plural. This study aims to present solutions and prove their effectiveness as a follow-up study that seeks to overcome the representative obstacles to design creativity discussed in the previous study. To this end, a qualitative study was conducted to find solutions to the obstacles suggested in the previous study and to devise key solutions(creativity development cards). At the same time, a quantitative research methodology using experiments and statistical analysis was adopted. After grasping the core characteristics of an object using the creativity development card, it was able to approach the creative solution by utilizing the reductive analysis of the original such as transformation of the core characteristics, reconsideration of essential problems and intentional differentiation. As a result, it was confirmed that the proposed solutions were effective not only as a method of overcoming the barriers to design creativity, but also in improving creativity.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.300-308
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• 2021

The epidemic of COVID19 caused a big change in design collaboration, which has been conducting using face-to-face interaction. Designers actively used video conferencing and online document tools in situations where face-to-face meetings were difficult, and this gave them an opportunity to experience that non-face-to-face collaboration can be more effective in a specific design process. In this regard, this study attempted to find out which activities during the design process are more compelling in face-to-face collaboration or non-face-to-face collaboration. To do this, three user experience design projects conducted after the COVID19 epidemic were analyzed through a retrospective interview method. As a result, during four design stages, 'Discover, Define, Develop, Deliver', face-to-face collaboration is necessary for the areas that require creative problem solving through active interaction. In contrast, non-face-to-face collaboration is preferred and more effective when designers need their own space and proceed their design work. In addition, the aspects of design tools supporting non-face-to-face collaboration were also illustrated. Findings discovered through this study are expected to contribute to research on the design process later.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.662-665
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• 2017

Recently, the rapid development and development of the industrial environment has changed the talent that companies need. As the educational paradigm changes, the university education should complement the problems of the lecture education method (the existing knowledge transfer method) in order to cultivate the talents needed for the corporation. In order to improve self - directed and creative problem - solving ability, new teaching and learning methods are needed. In this study, we apply flip learning in the algorithm class which is an essential curriculum of computer engineering. This group is divided into groups that are combined with theoretical and practical lessons, and groups that have applied theoretical lessons by applying flip learning, and groups that employ traditional lecture techniques. To improve learner's learning motivation and academic achievement, we propose a flip learning teaching method suitable for the algorithm subject and apply it directly to the class. Based on the results, we compare and analyze the academic achievement and learning satisfaction of learners.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.17-23
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• 2019

In applying SW education for non-major undergraduates, we applied the physical computing lesson using Arduino. There is a case in which the basic problem-solving process teaching method based on the computational thinking was proposed in the physical computing class using Arduino. However, in educating computational thinking process, it is necessary to evaluate and educate understanding of SW structures. After understanding SW structures, it is correct SW education flow to make creative outputs by applying computational thinking process. However, there is a lack of examples of how to evaluate understanding of SW structures in the class using Arduino. In this paper, we proposed a one - semester curriculum for lectures on SW education using Arduino for non-majors. In addition, we proposed and analyzed the evaluation method of the understanding of SW structures and the evaluation problems developed in this course.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.115-125
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• 2020

Problem-Based Learning is the most commonly used teaching method in the field of education as the demand for talented people with creative problem-solving abilities has increased in recent society. In this study, we developed a tool that can simply and regularly measure the learning effects of applying Problem-Based Learning on the classroom. Twenty-two preliminary items for the development were constructed by gathering expert opinions about items collected in existing research of Problem-Based Learning effects measurement. Using this preliminary items, data were collected from 124 students who took the subject-based study. And the validity and reliability were verified through Rash analysis. 11 of 124 students and 1 of 22 items were found to nonconforming and excluded. In addition, the optimal scale for the configuration of this tool was found to be a four-point scale, and the reliability of separation on the subject and the item was found to be excellent. We hope that the assessment tools of Problem-Based Learning effectiveness developed in this study will be actively used to measure learning effectiveness and manage the quality of education.

• Journal of Science Education
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• v.46 no.2
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• pp.178-194
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• 2022

This study analyzes the trend of domestic research related to science writing education. The subjects of analysis were 152 research papers related to science writing education in Korea from 2004 to 2021. The analysis criteria were set as the research problem, research subject, research method and research application etc. Result of the analysis shows a steady increase until 2014, but decreased afterwards. In the result of the research problems, it was found that most studies were about finding out the effects of scientific writing activities. The research subjects were mostly elementary, middle, and high school students. Qualitative research occupied a large proportion in the results of the research method analysis, and there were many mixed studies that combined quantitative and qualitative research. As for the research application method, the most applied research in regular classes. As a result of analyzing the effect of application, most of the studies were on science concepts, attitudes towards science, thinking skills, and creative problem-solving skills. Writing education such as experimental and observational writing in science classes has been steadily conducted since before the introduction of the 2007 revised curriculum. In particular, the importance of scientific writing as a text-based education is being emphasized from the 2007 revised curriculum to the 2022 revised curriculum overview. Writing is an important learning strategy in science education for students to generate, share, explain, and expand their ideas. Therefore, examining domestic research trends related to science writing education can provide important basic data for setting the future direction of science writing education.

• Journal of The Korean Association For Science Education
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• v.28 no.4
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• pp.282-290
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• 2008

The Research and Education (R&E) program was a year-long, apprenticeship and research-based program that was guided by mentors who are scientists or science teachers. The objective of the R&E program was to help scientifically gifted students in Korea Science Academy (KSA) and Science High Schools (SHS) to enhance abilities in creative thinking, scientific inquiry, problem solving, positive attitude towards scientists, and promoting cooperative research and interests in science and technology. In this study, the impact of the R&E program on the goals of 182 gifted college students in KAIST was evaluated using Likert-type items and multiple-choice method approach that provided a more comprehensive evaluation of the program's impact on science attitudes, creative thinking, scientific inquiry, and interests in science and technology. The results indicated a positive impact on cooperative research, gaining knowledge on the research topic, attitude towards scientists, interest in science and technology, scientific inquiry, and creative thinking in that order. There were rather remarkable and meaningful differences in science inquiry (p<.05), and scientific knowledge (p<.01), between the two groups of KAIST freshmen who came from SHS and KSA in 2006. Implications for science apprenticeship or a research-based mentorship program and their respective evaluations are also discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1542-1550
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• 2019

Legacy studies for classifying arrhythmia have been studied to improve the accuracy of classification, Neural Network, Fuzzy, etc. Deep learning is most frequently used for arrhythmia classification using error backpropagation algorithm by solving the limit of hidden layer number, which is a problem of neural network. In order to apply a deep learning model to an ECG signal, it is necessary to select an optimal model and parameters. In this paper, we propose optimal parameter extraction method based on a deep learning. For this purpose, R-wave is detected in the ECG signal from which noise has been removed, QRS and RR interval segment is modelled. And then, the weights were learned by supervised learning method through deep learning and the model was evaluated by the verification data. The detection and classification rate of R wave and PVC is evaluated through MIT-BIH arrhythmia database. The performance results indicate the average of 99.77% in R wave detection and 97.84% in PVC classification.

• Journal of Science Education
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• v.40 no.3
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• pp.267-286
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• 2016

The study aimed to investigate a research trend in science gifted education of six years from 2010 to 2015 by utilizing literature analysis and Social Network Analysis (SNA) methods. In this study, 275 papers published in eight major academic journals of science education and gifted education were selected as research subjects. First, through the literature analysis, it was found that the most frequent research topics were cognitive characteristics (25.8%), curriculum/programs (22.6%), and social and emotional characteristics (20.2%). For the research method employed in research papers, the survey research (46.5%) was appeared as the most frequently employed method, and followed by experimental (18.8%), program development (10.6%), correlation (10.3%), and qualitative (6.4%) research methods. The most frequent research subject was appeared as middle school students (33.7%) and followed by elementary school (30.6%), and high school (12.7%) students. Second, the SNA method was utilized for producing keyword frequency, degree centrality and network analyses. It was appeared that the most common keywords over six years included 'science gifted', 'gifted education', and 'creativity' and frequent keywords were science gifted, gifted education, gifted, creativity, science inquiry, perception, (creative) problem solving, science high school, scientific attitude, and STEAM. Third, through 2-mode network analysis, it was found that the research papers about cognitive characteristics were mainly related to perceptions, thinking ability, scientific argumentation, science inquiry and so on. It was also found that the research papers about social and emotional characteristics were related to correlation, motivation, creativity-character, self-efficiency and so on. It was concluded that the SNA method can be performed with literature analysis together for better understandings and interpretations of the research trend of science gifted education in-depth.