• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.43-52
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• 2013

As a tool of programming education, a robot is effective in creative problem solving abilities and logical thinking skills. It also provides practical, operational learning experience to learners, when using as a tool of learning, it can help learners' specific understanding for the contents of education and lead to an active participation in learning. This research focuses on the robot's instrumental use in the mathematics class. So the lesson activities with relation to the fourth grade math curriculum were developed after the functional analysis of the robot and the extraction of educational utilization with function. The result shows that there wasn't a significant difference in achievement test but there was a positive response in the most of the survey items. It shows that robots lead to an active participation in class, to be interested in math class and were helpful to understand math concepts. There was also a positive response in the result of learner interviews such as dynamic, collaborative communication, experiential, practical lessons that are rare sights in normal math class.

• Journal of Internet Computing and Services
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• v.10 no.6
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• pp.159-171
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• 2009

The objective of this research is to explore a method to utilize a programmable robot, as a potential learning tool in the elementary school's curricula. Due to their programmability and operational ease of use, programmable robots are among digital toys that today offer specially instructive features. In this research, we developed the robot game-based project contents as a tool for teaching the elementary school children to learn the algorithm, the essential part of computer programming. The LEGO material, selected as the construction kit for robot, consists of a mechanical assembly system, a set of sensors and actuators, a central control unit, a programming environment. The project requires the children to complete 3 separate tasks, each of which is developed based on the principles of algorithm. The classroom feedback supports that the robotic experiences provided the children with fun and absorption. It is likely that implementing learning with robot in regular classroom in elementary school can bring new possibilities to the educational system, provided that a thorough preparation backs up the plan.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.121-128
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• 2024

This study introduces specializer high school students , as a fusion education method using Inventor software to design a robot arm, which is then 3D printed and controlled by an Arduino microcontroller. Students gain practical experience and have the opportunity to integrate knowledge and skills from various academic fields. They start by designing in CAD software, proceed to fabricate actual robot arm components using 3D printing technology, and finally program and control the assembled robot arm. This interdisciplinary education enhances students' problem-solving abilities, fosters creativity, and increases their motivation to learn. To implement such educational endeavors in actual curricula, ongoing teacher support and appropriate resources are essential. This research serves as a foundational exploration of the applicability of fusion education in future learning contexts.

• Journal of The Korean Association of Information Education
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• v.15 no.4
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• pp.533-542
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• 2011

In this paper, we have selected traveling algorithms of Line-Tracer as the focused learning elements with the PBL-based programming instruction method. Line-Tracer traveling algorithm programming has been simulated using the Scratch EPL. Development of robot web courseware such as Line-Tracer can create an effective educational environment and also provide solutions for lack of environmental conditions, such as time or spatial factor restrictions and excessive expense issues; these are major obstacles to developing robot programming education. Finally, we analyzed the effects on growth of student's logical thinking and problem solving abilities by demonstrating the Scratch application courseware to the field of elementary education.

• Journal of Practical Engineering Education
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• v.7 no.2
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• pp.97-105
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• 2015

In this paper, we have selected physical computing as the focused learning elements with the PBL-based programming instruction method. Students experienced physical computing by using Arduino. Development of robot using Arduino can create an effective educational environment and also provide solutions for lack of environmental conditions, such as time or spatial factor restrictions and excessive expense issues; these are major obstacles to developing robot programming education. Finally, we analyzed the effects on growth of student's logical thinking and problem solving abilities by demonstrating the Arduino application courseware to the field of education.

• Journal of The Korean Association of Information Education
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• v.22 no.3
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• pp.357-366
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• 2018

The Code Block Based Educational Programming Language(EPL) is the mainstream tool for software education for elementary students. However, Code Block Based EPL has limitations in scalability, even though there are many advantages as an introductory tool for software education. In this study, we searched the approach of SW education using Python, which is a text-based programming language actively used in real industrial field. We developed a learning program and model using Python and applied it to the sixth grade elementary school students for 10 hours. As a result, we found that the robot-based Python learning model had a significant effect on improving students' thinking skills and confirmed the applicability of text-based programming language to elementary school students.

• Journal of Engineering Education Research
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• v.25 no.6
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• pp.23-37
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• 2022

This study evaluated the engineering students' ethical sensitivity to an AI emotion recognition robot scenario and explored its characteristics. For data collection, 54 students (27 majoring in Convergence Electronic Engineering and 27 majoring in Computer Software) were asked to list five factors regarding the AI robot scenario. For the analysis of ethical sensitivity, it was checked whether the students acknowledged the AI ethical principles in the AI robot scenario, such as safety, controllability, fairness, accountability, and transparency. We also categorized students' levels as either informed or naive based on whether or not they infer specific situations and diverse outcomes and feel a responsibility to take action as engineers. As a result, 40.0% of students' responses contained the AI ethical principles. These include safety 57.1%, controllability 10.7%, fairness 20.5%, accountability 11.6%, and transparency 0.0%. More students demonstrated ethical sensitivity at a naive level (76.8%) rather than at the informed level (23.2%). This study has implications for presenting an ethical sensitivity evaluation tool that can be utilized professionally in educational fields and applying it to engineering students to illustrate specific cases with varying levels of ethical sensitivity.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.155-157
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• 2011

본 논문에서는 초등학생의 창의 인성 발달을 위한 교육용 로봇 활용방안을 제안한다. 미래사회는 '집어넣는 교육'이 아니라 '끄집어 내는 교육'이 중심이 되어야 하며, 그 핵심에 '창의성'과 '인성'이 존재한다. 그래서 창의 인성을 기르기 위해 교육용 로봇을 활용하여 지도하는 방법을 모색하고자 한다. 구체물을 사용하여 조작하는 것은 초등학생의 인지발달단계와도 맞물려 있으므로 흥미있게 주제에 접근하는 좋은 방법이 될 것이다. 하지만 이에 대한 관련 연구가 부족하여 앞으로 관련 교육과정 개발 및 교재 연구가 절실히 필요하다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.463-466
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• 2010

본 논문에서는 녹색성장 시대의 교육용 로봇 활용방안을 제안한다. 산업이 발전할수록 늘어나는 에너지 소비에 인간은 많은 악영향을 받고 있다. 고갈되는 화석연료와 그에 따른 환경의 오염 때문이다. 대체에너지로의 변화가 이루어지고 있지만 급격히 바뀌기는 힘들다. 그래서 에너지를 좀더 절약해서 사용하려는 태도를 기르기 위해 교육용 로봇을 활용하여 지도하는 방법을 모색하고자 한다. 구체물을 사용하여 조작하는 것은 초등학생의 인지발달단계와도 맞물려 있으므로 흥미있게 주제에 다가서는 좋은 방법이 될 것이다. 하지만 이에 대한 관련 연구가 부족하여 앞으로 관련 교육과정 개발 및 교재 연구가 절실히 필요하다.

• Journal of the Institute of Convergence Signal Processing
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• v.25 no.2
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• pp.58-66
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• 2024

Robotics is a convergence technology with significant ripple effects across various industries, including manufacturing and services. Its importance has been increasingly underscored by advancements in artificial intelligence. As a crucial industry for addressing the challenges posed by a declining and aging production workforce and for enhancing manufacturing competitiveness, the training of robotics experts is now critically important. This paper examines the case of the Robot Job Innovation Center in Gumi City and proposes a strategy for training robotics experts and specialists in robot/AI-based signal processing. A core curriculum was carefully selected and implemented in actual educational settings, with key components necessary for developing a comprehensive educational framework detailed. The convergence of AI-based data signal processing and robotics represents a significant technological advancement poised to impact a wide array of industries. By proposing the comprehensive educational framework outlined in this paper, it is anticipated that related organizations will be able to effectively utilize these foundational elements to train experts in the field.