• 공학교육연구
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• 제18권4호
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• pp.26-33
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• 2015

The purpose of this study is to microscopically analyze the problem solving activities in creative robotics making and programming activity in order to investigate the characteristics of team interaction in accordance with MBTI disposition of team members in the creative robotics making activity in which the engineering education has a lot interest in the recent years. For the prosecution of this study, teams composed of 2 students targeting 30 students who were at the related department of engineering education in the college of eduction, A university located in Daejeon were organized. In addition, individual propensities of team members, in other words, team dynamic structure and team interaction were analyzed through microscopical analysis of the problem solving activities in creative robotics making and programming activity. The results of this study showed that there was a static correlation between the organization of MBTI Heterogeneity team and the interaction of team members, and also there was a positive interaction of team members in organizing MBTI Homogeneity team in area of Thought (T) - Feeling (F). In addition, mutual complement to solve the problems was carried out and the problem-solving capability was shown in the course of the communication along with the organization of MBTI team of extreme heterogeneity.

• ETRI Journal
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• 제45권5호
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• pp.847-861
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• 2023

Dynamic object detection is essential for ensuring safe and reliable autonomous driving. Recently, light detection and ranging (LiDAR)-based object detection has been introduced and shown excellent performance on various benchmarks. Although LiDAR sensors have excellent accuracy in estimating distance, they lack texture or color information and have a lower resolution than conventional cameras. In addition, performance degradation occurs when a LiDAR-based object detection model is applied to different driving environments or when sensors from different LiDAR manufacturers are utilized owing to the domain gap phenomenon. To address these issues, a sensor-fusion-based object detection and classification method is proposed. The proposed method operates in real time, making it suitable for integration into autonomous vehicles. It performs well on our custom dataset and on publicly available datasets, demonstrating its effectiveness in real-world road environments. In addition, we will make available a novel three-dimensional moving object detection dataset called ETRI 3D MOD.

• 대한공업교육학회지
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• 제34권1호
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• pp.210-237
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• 2009

본 연구의 목적은 중 고등학교 학생들을 대상으로 로봇C언어 교육프로그램을 개발하고 로봇C언어 교육프로그램이 창의력과 프로그래밍 능력 향상에 미치는 효과를 검증하는 것이다. 로봇C언어 교육프로그램의 내용은 로봇의 이해, 로봇의 기초와 조립(교육용 키트의 사용법 및 기구학) 및 로봇C언어 프로그래밍 학습, 과제 로봇 만들기, 창작 로봇 만들기로 구성하였으며 최종적으로 창의적으로 로봇 프로그래밍을 할 수 있도록 개발하였다. C과학 고등학교 1학년 학생(38명) 중에서 로봇C언어 교육프로그램과 C++프로그래밍 과정을 이수한 실험집단(11명)과 C++프로그래밍 과정만을 이수한 비교집단(27명)의 창의력과 프로그래밍 능력 향상 정도를 사전 사후 검사로 비교하였다. 로봇C언어 교육프로그램을 이수한 학생들은 과제 로봇과 창작 로봇의 산출물을 얻었으며, 또한, 이수한 학생들은 TTCT 창의력 검사(도형)결과 창의력 향상에 유의미한 효과가 나타났으며, 자체 평가 결과 C++언어 프로그래밍 능력도 향상되는 것으로 나타났다.

• 공학교육연구
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• 제19권5호
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• pp.13-24
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• 2016

The purpose of this research is to examine the characteristics of team interaction according to the creativity of team members. Research subjects to achieve this purpose included 28 students who are in engineering education in the College of Education at A University in Daejeon and have taken robot-related courses. Through first and second MBTI, and TTCT tests, the final homogeneous and heterogeneous teams were formed, and an experimental study was conducted by developing team design activity assignment. The major research results were as follows. In terms of a comprehensive view on interaction frequency, both homogeneous team and heterogeneous team suggested had the highest frequency in suggesting opinions. However, each of the team members in the homogeneous team had different communication frequency among each other while each team member in the heterogeneous team had almost similar frequency. A microscopic analysis of the communication process of homogeneous team showed that the team members' roles were divided among each other in communication. Next, according to the microscopic analysis of the heterogeneous team's communication process, the team members exchanged opinions in the beginning, talked to themselves in words that were hard to understand the meanings, and they stopped having conversations in the end. Due to such decrease in communication, two team members could not solve the confusing state of being unable to understand each other's opinions and failed to complete their assignments. The microscopic analysis demonstrated that the homogeneous team had a smooth interaction, because when one team member suggested an opinion during a conversation, other team members agreed with it through a discussion. However, the members in the heterogeneous team experienced confusion as they could not understand each other's conversation and could not overcome this problem, leading to lack of conversations.

• 한국산업정보학회논문지
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• 제20권1호
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• pp.9-18
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• 2015

로봇을 이용한 교육은 학생들에게 고차원의 사고, 창의적 표현, 발견 학습의 기회를 제공하고 있다. 또한 로봇을 통해 다양한 교과 영역을 가르칠 수 있으므로 STEAM 교육에도 적합한 도구라 볼 수 있다. 따라서 본 연구에서는 로봇을 이용한 STEAM 교육 콘텐츠를 설계하고 개발하였다. 초등학교 교과서를 분석하여 과학, 기술, 공학, 예술, 수학에서 로봇을 통해 효과적으로 전달 가능한 내용들을 추출하여 융합 콘텐츠를 설계하였다. 설계한 내용을 바탕으로 로봇을 조립하고, 프로그램하여 콘텐츠를 개발하였다. 개발된 콘텐츠를 초등학교 방과 후 수업에 직접 적용하였고, 수업 후 설문조사를 통해 교과목의 이해도와 흥미도, 참여도를 평가하였다. 연구결과 로봇을 활용한 STEAM 콘텐츠 수업에서 교과내용의 이해도와 흥미도, 참여도가 높게 나타났다. 이를 통해 STEAM 교육에 로봇의 활용이 교육적 효과가 있다는 점과 개별 교과지식보다 STEAM기반의 융합형 콘텐츠를 이용한 교육의 효과가 높다는 점을 확인할 수 있었다.

• 공학교육연구
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• 제26권4호
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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.