• Title/Summary/Keyword: robot teaching

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Study on the Learning Elements of 'Information Ethics' Topic of Informatics Subject (정보 교과의 '정보 윤리' 주제의 학습 요소에 관한 연구)

  • Jeong, InKee;Kim, Kapsu
    • Journal of The Korean Association of Information Education
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    • v.18 no.2
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    • pp.295-306
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    • 2014
  • A form of life is changed rapidly through development of ICT. And we need information ethics as a new norm of information-oriented society. The effect of information ethics can be maximized by education. Therefore, a new curriculum is demanded by new technology and circumstance. Korea Association of Information education has studied a new curriculum and suggested a new plan that contents of information education classified by 'Software', 'Computer System' and 'Convergence Activities' sections. And the 'Convergence Activities' section is composed of 'Information Ethics', 'Productivity Tools' and 'Robot'. In this paper, we studied on learning elements of the 'Information Ethics' of first grade to ninth grade. We analysed the domestic and foreign curriculum, research results and new issues about information ethics and selected the learning elements about information ethics. We nextly suggested the achievement goals, teaching-learning methods and evaluation methods of information ethics. We expect that the learning elements we suggested about information ethics will contribute to deal with wisely information dysfunction and to training correct talented individuals.

A Visual Programming Environment on Tablet PCs to Control Industrial Robots (산업용 로봇 제어를 위한 태블릿 PC 기반의 비주얼 프로그래밍 연구)

  • Park, Eun Ji;Seo, Kyeong Eun;Park, Tae Gon;Sun, Duk Han;Cho, Hyeonjoong
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.2
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    • pp.107-116
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    • 2016
  • Industrial robots have been usually controlled using text-based programming languages provided by each manufacturer with its button-based TP(Teaching Pendent) terminal. Unfortunately, when we consider that people who manipulate TPs in manufacturing sites are mostly unskilled with no background knowledge about computer programming, these text-based programming languages using button-based interaction on manufacturing sites are too difficult for them to learn and use. In order to overcome the weaknesses of the text-based programming language, we propose a visual programming language that can be easily used on gesture-enabled devices. Especially, in our visual programming environment, each command is represented as a block and robots are controlled by stacking those blocks using drag-and-drop gestures, which is easily learnable even by beginners. In this paper, we utilize a widely-spread device, Tablet PC as the gesture-enabled TP. Considering that Tablet PC has limited display space in contrast to PC environments, we designed different kinds of sets of command blocks and conducted user tests. Based on the experiment results, we propose an effective set of command blocks for Tablet PC environment.

Convergence Education Program Using Smart Farm for Artificial Intelligence Education of Elementary School Students (초등학생 대상의 인공지능교육을 위한 스마트팜 활용 융합교육 프로그램)

  • Kim, Jung-Hoon;Moon, Seong-Hwan
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.203-210
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    • 2021
  • This study was conducted to develop a convergence education program using smart farms with both input data(temperature, humidity, etc.) and output data(vegetables, fruits, etc.) that are easily accessible in everyday life so that elementary school students can intuitively and easily understand the principles of artificial intelligence(AI) learning. In order to develop this program, we conducted a prior study analysis of a horticulture, software, robot units in the 2015 Practical Arts curriculum and artificial intelligence education. Based on this, 13 components and 16 achievement criteria were selected, and AI programs of 4 sessions(a total of 8 hours). This program can be used as a reference when developing various teaching materials for artificial intelligence education in the future.

Comparisons of the Perceptions on Software Education between Software Experts and Regular Elementary Teachers (2015 개정교육과정의 SW교육 관한 초등 전문가 교사와 일반 교사의 인식 비교)

  • Song, JeongBeom
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.378-381
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    • 2019
  • In this study, we compared the perception of general and specialist teachers about the software education that entered the classroom by the 2015 revised curriculum. For the comparison of cognition, the 17 - hour hourly curriculum, the statement of achievement criteria, and the curriculum were organized in grades 5-6, but the appropriateness of the inclusion of only textbooks in grade 6 was questioned. The general teacher had many opinions that all three items are appropriate. On the other hand, professional teachers were inadequate and many were. It is necessary to provide various opportunities such as the training for the recognition change in the future. In addition, positive keywords for the introduction of general and specialist teachers were derived as a result of analyzing the main keywords of the free - response opinions about the introduction of educational robots in the practical course curriculum and textbooks. However, general teachers showed differences in the use of post - adoption education, such as passive and passive keywords such as support, difficulty, and problems, and the use of specialist teachers and education. In the future, it seems that it is necessary to provide teaching support to elementary school teachers, to provide beginner level difficulty training.

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Research on the Development of Big Data Analysis Tools for Engineering Education (공학교육 빅 데이터 분석 도구 개발 연구)

  • Kim, Younyoung;Kim, Jaehee
    • 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.