• Journal of Engineering Education Research
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• v.24 no.3
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• pp.70-76
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• 2021

As intellectual property has become an important competitive element in the industry, government-led patent education is rapidly expanding. It is important to look at whether each patent education course is organically linked to each other under a life-long patent education system from elementary school to college. This study focused on the link between high school education and college education to analyze statistically how invention activities in high school affect patent education achievement at college. Statistical analysis of a survey of students taking a basic course of intellectual property revealed no statistically significant correlation between invention experience in high school and college students' patent class total score, contrary to popular perception. These results are believed to be due to the distribution of data on the number of invention contest participations or the number of invention class participations, which does not form a normal distribution and has a relatively large skewness. Rather, the attendance to the patent class showed a relatively distinct positive linear correlation with the patent class total score, indicating that the student's attitude in class was important for the patent education achievement.

• Journal of Engineering Education Research
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• v.21 no.4
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• pp.28-34
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• 2018

Design class through team activities is increasing in engineering education. Team-based education has been known to improve students' creativity, problem solving ability, cooperative ability, self-directed learning ability, and communication ability. How to organize a team is an important issue that affects the performance of team activities as well as student satisfaction. However, previous studies have focused on the causal relationship between team formation and the team's performance. This paper deals with how to organize a balanced team in a real class. When the basic characteristic values of students are givens, the aim is to make the sum of the characteristic values as fair as possible for each team. We propose a mathematical team formation model and show how to apply it through case studies.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.1-10
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• 2022

Learning C programming language in electronics education is an important basic education course for understanding computer programming and acquiring the ability to use microprocessors in embedded systems. In order to focus on understanding basic grammar and algorithms, it is a common teaching method to write programs based on C standard library functions in the console window and learn theory and practice in parallel. However, if a student wants to start a project activity or go to a deeper stage after acquiring some basic knowledge of the C language, using only the C standard library function in the console window limits what a student can express or control with the C program. For the purpose of making it easier for a student to use graphics or multimedia resources and increase educational value, this paper studies a case of applying Simple DirectMedia Layer (SDL), an open source software, into the C programming language learning process. The SDL-based programming course applied after completing the basic programming curriculum performed in the console window is introduced, and the educational value is evaluated through a survey. As a result, more than 56% of the respondents expressed positive opinions in terms of improved application ability, stimulating interest, and overall usefulness, and less than 4% of them had negative opinions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1621-1627
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• 2011

According to the KEC 2005 accreditation criteria, enough major courses in addition to mathematics, basic science, computer science, cultural studies are required to fulfill the program's goal. So it is hoped that students have to take mandatory major courses as well cultural studies. In this paper we considered the necessity of General Education Curriculum for Engineering Education by analyzing the several university's accreditation programs and suggested the desirable modeling of the General Education Curriculum.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.5
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• pp.841-847
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• 2001

Every educational institutes in our country are connected each other with internet lines but their low-level usage environment causes the speed of information-communication net to be slow. Therefore we confront many difficult barriers to operate the highlighted informatization education. In this paper, I examined and studied the effective operation solutions about basic equipment of electronic net.

• 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 Radiation Protection and Research
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• v.24 no.4
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• pp.231-233
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• 1999

This report will introduce the epitome about the subject, HANARO (Hi-flux Advanced Neutron Application Reactor designed by KAERI in early 1995) Utilization Education Training Program Development and Operation, which is one of the nuclear research basic expansion businesses executed from 1999. 12. to strengthen the usage of HANARO. This program consists of the basic reactor experiments program for university students who have specialty of nuclear and other engineering, and the special research education program for faculties from universities and researchers from industrial fields. Principle lessons are reactor operation, radioisotope production, neutron activation analysis, neutron radiography, radiation shield (health physics), nuclear fuel combustion measurement by gamma scanning arrangement, and CNS (Compact Nuclear Simulator) and so on.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.6
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• pp.749-756
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• 2019

Big data is structured and unstructured data that is so difficult to collect, store, and so on due to the huge amount of data. Many institutions, including universities, are building student convergence systems to foster talents for data science and AI convergence, but there is an absolute lack of research on what kind of education is needed and what kind of education is required for students. Therefore, in this paper, after conducting the correlation analysis based on the questionnaire on basic surveys and courses to improve the curriculum by grasping the satisfaction and demands of the participants in the "2019 Big Data Youth Talent Training Course" held at K University, Regression analysis was performed. As a result of the study, the higher the satisfaction level, the satisfaction with class or job connection, and the self-development, the more positive the evaluation of program efficiency.

• Journal of Engineering Education Research
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• v.15 no.6
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• pp.9-18
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• 2012

The purposes of this article are to analyze the conditions of using instructional strategies and using gender sensitive instructional strategies at engineering classes of K University. Qualitative analysis methods were adapted. To achieve the purposes, 35 hours of engineering classes from 11 professors from 9th to 20th of November 2009 were videotaped and analyzed. The research findings were discussed by the checklists for general and gender sensitive the instructional strategies which were recommended for the managing the better classes. Students are influenced by professors not only knowledge and skills but also values and attitudes. Professors who take gender sensitive instructional strategies are expected to give good influence the women students.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.31-38
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• 2023

In this paper, a basic machine learning model learning and utilization education curriculum for non-majors is proposed, and an education method using Orange machine learning model learning and analysis tools is proposed. Orange is an open-source machine learning and data visualization tool that can create machine learning models by learning data using visual widgets without complex programming. Orange is a platform that is widely used by non-major undergraduates to expert groups. In this paper, a basic machine learning model learning and utilization education curriculum and weekly practice contents for one semester are proposed. In addition, in order to demonstrate the reality of practice contents for machine learning model learning and utilization, we used the Orange tool to learn machine learning models from categorical data samples and numerical data samples, and utilized the models. Thus, use cases for predicting the outcome of the population were proposed. Finally, the educational satisfaction of this curriculum is surveyed and analyzed for non-majors.