• Journal of Industrial Convergence
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• v.19 no.1
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• pp.27-32
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• 2021

Novel Engineering(NE) is integrated learning model to figure out problems in a book and solve them with creative engineering process. NE has been performed on offline until now. We have to research blended learning projects for COVID-19 outbreak. In this paper, we are going to explore that blended NE is effective to creative problem solving ability. The results showed that blended NE is highly effective to all of four sub-elements; self conviction & independence, diffusion thinking, critical thinking and motivational element. This means that blended novel engineering class is effective to competence-centered class proposed in 2015 revised curriculum. We hope that the research is spread and settled into our school.

• Journal of Engineering Education Research
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• v.13 no.4
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• pp.122-129
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• 2010

This study was conducted to compare the self-leadership strategies and locus of control between the problem-solving styles in the Korean engineering college students. Creative problem-solving styles were identified based on the three dimensions. The results of the two-way analysis of variances indicated the main effects of problem-solving styles; each problem-solving style had unique characteristics in relation to self-leadership strategies and locus of control. There were neither main effects of sex nor interaction effects of problem-solving styles and sex. It would be useful to provide the engineering students with the specialized self-leadership training program based on the problem-solving styles.

• Journal of Engineering Education Research
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• v.10 no.2
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• pp.44-61
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• 2007

The present investigation is concerned chiefly with new curriculum development at the Department of Mechanical System & Design Engineering at Hongik University with the aim of enhancing creativity, team working and communication capability which modern engineering education is emphasizing on. 'Mechanical System & Design Engineering' department equipped with new curriculum emphasizing engineering design is new name for mechanical engineering department in Hongik University. To meet radically changing environment and demands of industries toward engineering education, the department has shifted its focus from analog-based and machine-centered hard approach to digital-based and human-centered soft approach. Three new programs of Introduction to Mechanical System & Design Engineering, Creative Engineering Design and Product Design emphasize hands-on experiences through project-based team working. Sketch model and prototype making process is strongly emphasized and cardboard, poly styrene foam and foam core plate are provided as working material instead of traditional hard engineering material such as metals material because these three programs focus more on creative idea generation and dynamic communication among team members rather than the end results. With generative, visual and concrete experiences that can compensate existing engineering classes with traditional focus on analytic, mathematical and reasoning, hands-on experiences can play a significant role for engineering students to develop creative thinking and engineering sense needed to face ill-defined real-world design problems they are expected to encounter upon graduation.

• Journal of Engineering Education Research
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• v.26 no.4
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• pp.22-35
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• 2023

As information and communication technology has developed remarkably, it has become possible to analyze various types of large-volume data generated at a speed close to real time, and based on this, reliable value creation has become possible. Such big data analysis is becoming an important means of supporting decision-making based on scientific figures. The purpose of this study is to develop a big data analysis tool that can analyze large amounts of data generated through engineering education. The tasks of this study are as follows. First, a database is designed to store the information of entries in the National Creative Capstone Design Contest. Second, the pre-processing process is checked for analysis with big data analysis tools. Finally, analyze the data using the developed big data analysis tool. In this study, 1,784 works submitted to the National Creative Comprehensive Design Contest from 2014 to 2019 were analyzed. As a result of selecting the top 10 words through topic analysis, 'robot' ranked first from 2014 to 2019, and energy, drones, ultrasound, solar energy, and IoT appeared with high frequency. This result seems to reflect the current core topics and technology trends of the 4th Industrial Revolution. In addition, it seems that due to the nature of the Capstone Design Contest, students majoring in electrical/electronic, computer/information and communication engineering, mechanical engineering, and chemical/new materials engineering who can submit complete products for problem solving were selected. The significance of this study is that the results of this study can be used in the field of engineering education as basic data for the development of educational contents and teaching methods that reflect industry and technology trends. Furthermore, it is expected that the results of big data analysis related to engineering education can be used as a means of preparing preemptive countermeasures in establishing education policies that reflect social changes.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.694-706
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• 2019

In this study, we applied the long short-term memory (LSTM) model to classify the cryptocurrency price time series. We collected historic cryptocurrency price time series data and preprocessed them in order to make them clean for use as train and target data. After such preprocessing, the price time series data were systematically encoded into the three-dimensional price tensor representing the past price changes of cryptocurrencies. We also presented our LSTM model structure as well as how to use such price tensor as input data of the LSTM model. In particular, a grid search-based k-fold cross-validation technique was applied to find the most suitable LSTM model parameters. Lastly, through the comparison of the f1-score values, our study showed that the LSTM model outperforms the gradient boosting model, a general machine learning model known to have relatively good prediction performance, for the time series classification of the cryptocurrency price trend. With the LSTM model, we got a performance improvement of about 7% compared to using the GB model.

• Journal of the Korea Convergence Society
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• v.5 no.4
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• pp.15-20
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• 2014

This paper discusses the creative capstone design education in Kongju National University and introduce a new operational capstone design education method. The result products are evaluated by self-evaluation and performance assessment that is based on the operational method and procedure of the project. The capstone design teams are comprised of 2~3 students with a individual major accomplishments. All teams are satisfied the criteria of evaluation. And their's self-satisfaction and questionaries are totally 3.88~4.44 point out of 5. Compared with the conduct of previous capstone design project that was not the industry affiliate, it provides students with industrial experience in design and development of industrial solution. And industrial partner must provide funds for student team to design, fabrication and test in next time.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.1
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• pp.167-180
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• 2013

A capstone design is regarded as one of cap courses in undergraduate engineering education because it requires most prerequisites and makes students experience real engineering design processes. There have been case studies to show how this subject should be organized, practiced, and optimized. This study shows one of the case studies by focusing offshore wind power, one of newly recognized renewable energy resources, especially targeting for the design of wind turbine foundation and submarine power cable protectors mainly because of current energy and global warming crisis. To pinpoint engineering design, the students'activities during the project and design procedures are monitored, evaluated, and recommended; hence, core factors are addressed to develop successful aim, theory, practice, and other necessities. These factors include creative problem solving abilities; recognition of engineering curriculum; selection of project theme based on significance, ripple effect, and education purpose; team organization by the full brain model; systematization of project process; realization of engineering design; and synthesis of evaluation. In the end, the aftermath and future works are discussed.

• Journal of the Korean earth science society
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• v.40 no.4
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• pp.436-445
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• 2019

This study presents how two types of integrated science and engineering lessons affect students' engineering problem solving skills and their perceptions of engineering. In total, 146 middle school students participated in this study. Eighty-six students participated in the Type I lesson (complete engineering design lesson with a science knowledge application) and 60 students participated in the Type II lesson (engineering design without a science knowledge application). Two main datasets, (1) students' Creative Engineering Problem Solving Propensity (CEPSP) measurement scores and (2) open-ended survey questions about students' perceptions of engineering, were collected before and after the lessons. The results of this study show that after participating in the Type I lesson, students' CEPSP scores significantly increased, whereas the CEPSP scores of the students who participated in the Type II lesson did not increase significantly. In addition, students who participated in the Type I lesson perceived engineering and the engineering integrated science lesson differently compared to the students who participated in the Type II lesson. The results of this study show that engineering integrated science, technology, engineering & mathematics (STEM) lessons should include a complete engineering design and a science knowledge application to improve students' engineering problem solving skills.

• Journal of Engineering Education Research
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• v.19 no.6
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• pp.44-48
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• 2016

This research is one of the Industry-University cooperation in idea factory of Korea Maritime and Ocean University. Idea factory of Korea Maritime and Ocean University is trying to train creative talented students and discover ingenious ideas. The contents are consisted of the possibility for the replacement of a metal valve disk to composite valve disk in butterfly valve based on the diversification. Purpose in this study is to predict failure field by each fly by appling Tsai-Wu Failure Index.

• Journal of the Korean earth science society
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• v.41 no.4
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• pp.415-434
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• 2020

The purpose of this study was to explore if, what kinds of, how much computational thinking (CT after this) practices could be included in STEAM programs, and what kinds of CT practices could be improved to make STEAM revitalized. The CT analyzing tool with operational definitions and its examples in science education was modified and employed for 5 science-focused and 5 engineering-focused STEAM programs. There was no discerning pattern of CT practices uses between science and engineering STEAM programs but CT practices were displayed depending on their topics. The patterns of CT practices uses from each STEAM program could be used to describe what CT practices were more explored, weakly exposed, or missing. On the basis of these prescription of CT practices from each STEAM program, the researchers could develop the weakly exposed or missing CT practices to be improved for the rich experience in CT practices during STEAM programs.