• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.2
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• pp.162-170
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• 2012

It is very important for the robot to recognize its position to accomplish numerous tasks and to go to the goal. In this paper, we suggest Location Recognition System to distinguish robot's locations using land-mark and the odometer in the environment of sensor network. All in all, we created a basic intelligent robot, Location Recognition System, and Environment Sensor Modules; we verified the proposed algorithm through computer simulation.

• Journal of Engineering Education Research
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• v.6 no.1
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• pp.32-41
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• 2003

This paper presents web-based contents for studying differential equations. The component-based software development techniques have been used to develop Java Bean components which are simple and convenient for learners. The components have been used to make the contents for the differential equations. The contents have high interactive capability, which gives much interest to learners. The learners can easily understand the mathematical concept by repeating the solving procedure.

• Journal of Engineering Education Research
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• v.17 no.4
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• pp.95-101
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• 2014

As other major, students have difficulties to be successfully adapted to computer science major without some interest and skill to computer programming. In this paper, we try to find successful factors for computer science major freshmen students to computer programming. The factors we focused are programming experience before college entrance, taking liberal arts/natural science courses at high school, application motivations to computer major, existence of mentors, satisfaction to his/her computer department, student's holland job aptitude code. After analysis, taking liberal arts/natural science courses at high school, satisfaction to computer department, some holland job aptitude code are significant to their successful adaptation to computer major. Also, we found the holland job apptitude code is closely related to student's satisfaction to their major for engineering students including computer science students. Our analysis results will be a suggestion for designing computer science education program with students who enters college without some aptitude or preparation to his major.

• Journal of Engineering Education Research
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• v.22 no.4
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• pp.3-11
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• 2019

The purpose of this study is to introduce a modified CPS(Creativity Problem Solving) procedure as a new method for comparative analysis of creative techniques such as SIT(Systematic Inventive Thinking) and Brainstorming(BS) techniques. For this, a new sports game is employed as a case study. The results show that the ideas from SIT are more creative in terms of originality and practicality than those of BS. Several considerations for effective practical use of the proposed method are discussed in this study.

• Journal of Engineering Education Research
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• v.22 no.2
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• pp.36-45
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• 2019

Capstone design is a subject taught in a setting where students gather in a team, decide on their own selected topic, and collaborate with one another to perform a project. A fair assessment is very important in a team project-based capstone design course for students. Many instructors agree that harmonizing creative evaluation and outcome assessment is hard in capstone design class. In also, it is not easy to assess students' individual efforts and achievements fairly in accordance with team-based assessment practices. To resolve this issue in this paper, we have surveyed various engineering design education methodologies, and have modelled existing evaluating elements into a modified creative process and outcome assessment framework for team project assessment. In particular, we focused on a method of fairly assigning credits by combining team based and individual-level assessments. Analyzing students' achievement and grade evaluation and verifying the validity of the proposed method was performed.

• Journal of Engineering Education Research
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• v.21 no.5
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• pp.10-19
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• 2018

The need for integrating the arts and literature into the engineering education has been emphasized to cultivate the creative talent in recent years. However, there have been few studies to investigate how the arts and literature can be linked with nurturing creative talent in the engineering fields. In this paper, it is examined that inventive thinking principles for creative ideation in the engineering fields can be applied to the arts and literature. For the purpose, creative works in the arts and literature, which can be explained by the five thinking tools of SIT(Systematic Inventive Thinking), are collected. The result shows that engineering and the arts share common thinking patterns.

• Journal of Engineering Education Research
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• v.26 no.6
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• pp.71-78
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• 2023

ChatGPT significantly broadens the application of artificial intelligence (AI) services across various domains, with one of its primary functions being assistance in programming and coding. Nevertheless, due to the short history of ChatGPT, there have been few studies analyzing its coding capabilities in Korean higher education. In this paper, we evaluate it using exam questions from three foundational programming courses at S University. According to the experimental results, ChatGPT successfully generated Python, C, and JAVA programs, and the code quality is on par with that of high-achieving students. The powerful coding capabilities of ChatGPT imply the need for a strict prohibition of its usage in coding tests; however, it also suggests significant potential for enhancing practical exercises in the educational aspect.

• 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.

• Journal of Practical Engineering Education
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• v.16 no.5_spc
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• pp.689-700
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• 2024

This study explored the possibility of utilizing virtual reality technology in successor training for the preservation of intangible heritage. In the midst of the crisis of transmission discontinuation due to the aging of holders, successor training of traditional skills in particular is becoming more difficult. As a solution to this problem, we propose the utilization of virtual reality technology. To this end, we conducted a survey on citizens' awareness and experience of utilizing virtual reality technology for intangible heritage and conducted in-depth interviews with holders and trainees at successor training sites. As a result of the analysis, it was evaluated that virtual reality technology would be effective in conveying historical meaning, establishing systematic learning, and archiving successor training courses and works in successor training of intangible heritage. In particular, repeated learning of traditional skills, reduction of risk factors, creative reinterpretation, and increased educational efficiency are expected through virtual reality. This study can be used as basic data for educational, academic, and industrial discussions on the preservation and utilization of intangible heritage in the future.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.23-29
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• 2023

For given the importance of elementary school students developing the ability to solve problems using artificial intelligence (AI), problem-solving abilities should be developed using AI along with education to develop problem-solving abilities. Such students need a form that allows them to understand the concepts and principles of AI and to be easily educated in a fun way to understand basic understanding of how AI works. To this end, this study planned an 8-hour AI convergence program and operated based on self-driving cars, demonstrating that it was effective in improving elementary school students' problem-solving abilities, creativity, and AI understanding. As a result of operating the camp, students' understanding of AI was 3.56 (standard deviation 0.85), 4.00 (standard deviation 0.71), and t-value was -5.412 (p<0.001), indicating statistically improved understanding of AI, and high satisfaction and interest of students. In the future, it will be necessary to develop an educational program that allows elementary school students to devise their own ideas and create products to which AI models can be applied.