• Title/Summary/Keyword: 블록 기반 프로그래밍 언어

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Development of an Embedded Motion Controller based on the IEC 61131-3 International Standard Language (IEC 61131-3 국제표준언어 기반 임베디드 모션제어기의 개발)

  • Kim, Won-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.12
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    • pp.3574-3580
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    • 2009
  • An embedded motion controller supporting the PLC programming environment based on the IEC 61131-3 International Standard Language was developed in this paper. In this developed motion controller, the CoDeSys, one of the IEC61131-3 development tools, was embedded in order to support that of PLC as well as the development environment of the PC, and the various function blocks based on PLCopen standard for motion control such as the linear and circular interpolation control were implemented. Moreover, the ethernet based remote control on real-time operating system and the motion simulator for a motion programmer were implemented.

Development of Block-based Code Generation and Recommendation Model Using Natural Language Processing Model (자연어 처리 모델을 활용한 블록 코드 생성 및 추천 모델 개발)

  • Jeon, In-seong;Song, Ki-Sang
    • Journal of The Korean Association of Information Education
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    • v.26 no.3
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    • pp.197-207
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    • 2022
  • In this paper, we develop a machine learning based block code generation and recommendation model for the purpose of reducing cognitive load of learners during coding education that learns the learner's block that has been made in the block programming environment using natural processing model and fine-tuning and then generates and recommends the selectable blocks for the next step. To develop the model, the training dataset was produced by pre-processing 50 block codes that were on the popular block programming language web site 'Entry'. Also, after dividing the pre-processed blocks into training dataset, verification dataset and test dataset, we developed a model that generates block codes based on LSTM, Seq2Seq, and GPT-2 model. In the results of the performance evaluation of the developed model, GPT-2 showed a higher performance than the LSTM and Seq2Seq model in the BLEU and ROUGE scores which measure sentence similarity. The data results generated through the GPT-2 model, show that the performance was relatively similar in the BLEU and ROUGE scores except for the case where the number of blocks was 1 or 17.

The Effects of Writing to Describe using Block-based Programming on Computational Thinking and Writing Skills (블록 기반 프로그래밍을 활용한 묘사적 글쓰기가 컴퓨팅사고력과 글쓰기 능력에 미치는 영향)

  • Seo, Hyunseok;Jeong, Youngsik
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.665-674
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    • 2019
  • To determine the educational effects of writing to describe using Entry, block-based programming language, we instructed first year students at the national university of education on these activities for four weeks and analyzed the changes in their writing perception and attitude, ability of descriptive writing, computational thinking and learner's competencies. As a result, writing to describe using Entry did not affect students' writing perception and attitude change. However, the experimented students who wrote to describe using Entry became acquainted with the way of writing to describe, and improved their ability to describe objects. In addition, the computational thinking and critical thinking improved. Based on these results, it is hopped to be used as a basic material for expanding the education of descriptive writing using programming languages.

App Inventor 2 As a Tool for Enhancement of Computational Thinking (Computational Thinking 향상 도구로서의 App Inventor 2)

  • Lim, Byeongchoon
    • Journal of The Korean Association of Information Education
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    • v.20 no.5
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    • pp.519-526
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    • 2016
  • MIT App Inventor 2, much like the other block-based programming languages such as Scratch and Alice, is a useful tool that can be utilized to improve the computational thinking skills for students. The coding and the execution of program are done mainly on the computer in Scratch programming, but in App Inventor 2 programming, the students can execute the program and get immediate feedback on the smart-phone in the middle of the programming. Therefore, we can expect better enhanced learning effect. In this study, it has been claimed that the learning of App Inventor2 can strengthen the computational thinking skills of our students by extracting four core concepts of the computational thinking and then showing how these concepts are applied through the learning of App Inventor 2.

The Influence of Learning App Inventor Programming of LT Collaborative Learning based on Children's Motivation (LT 협동학습 기반의 앱 인벤터 프로그래밍 교육이 초등학생들의 학습 동기에 미치는 영향)

  • Jeon, SeongKyun;Lee, YoungJun
    • The Journal of Korean Association of Computer Education
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    • v.18 no.2
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    • pp.1-9
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    • 2015
  • Excessive cognitive burdens caused by learning grammar should be reduced to cultivate high-level thinking skills in students through programing education. To this end, various educational programing languages have been developed. In recent years, block-based App Inventor that can used in real life have been introduced. This study intends to suggest an educational environment in which programing can be utilized as a leading problem solving tool by designing and producing an app that can be easily used by students in their real life. In particular, given the developmental phase of elementary school students, specific operational activities are important. For this reason, an App Inventor that can be proposed to enable dynamic interactions with the real world based on various smartphone sensors during the process of programing has significance as an educational programing language for elementary school students. In this regard, this study designed App Inventor programing education for elementary school students, which can be used in their daily life. The results of applying the education in fifth graders showed its positive effects on learning programing. LT collaborative learning where the students cooperated with each other, the theme of learning, which enables the utilization of various smartphone sensors in real life, and the app inventor may have generated and sustained the students' interest and attention.

Design of Python Block Coding Platform for AIoT Physical Computing Education (AIoT 피지컬 컴퓨팅 교육을 위한 파이썬 블록 코딩 플랫폼 설계)

  • Lee, Se-Hoon;Kim, Su-Min;Kim, Young-Ho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.1-2
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    • 2022
  • 본 논문은 4차 산업혁명의 핵심기술인 인공지능과 IoT를 피지컬 컴퓨팅을 이용해 교육을 할 수 있는 플랫폼을 설계하였다. 플랫폼은 파이썬 비주얼 블록 프로그래밍을 기반으로 사용자의 코딩 언어의 구문적인 어려움을 감소시키며 데이터 분석과 머신러닝을 쉽게 응용할 수 있다. 피지컬 컴퓨팅을 위한 AIoT 타겟 보드로는 라즈베리파이를 활용하였으며 타겟보드의 하드웨어에 대한 선수 지식을 최소화해서 원하는 시스템을 개발할 수 있다. 응용에서는 센서로 수집한 데이터를 분석하고 인공지능 모델 생성을 할 수 있으며 학습된 모델을 액추에이터 제어에 활용하는 등 AIoT 피지컬 컴퓨팅 교육에 여러 장벽을 낮추었다.

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A Developing a Teaching-Learning Model of Software Education for Non-major Undergraduate Students (비전공 학부생 대상의 SW 교육을 위한 교수-학습 모델 개발)

  • Sohn, Won-sung
    • Journal of Practical Engineering Education
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    • v.9 no.2
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    • pp.107-117
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    • 2017
  • here are many cases that take a software education as a required course for non-major students in university curriculums. However, non-major students are experiencing various difficulties in the process of learning programming languages, and there is also the opposite opinion in terms of their effectiveness. In this study, we developed a design based software education model (DBSEM) and curriculum to solve these problems and applied it to undergraduate non-undergraduate students for the last 8 years. In the proposed method, we provide a specialized educational tool such as 'block-based programming tool', but developed 'core module' and 'concept learning module' for computational thinking and applied 'prototype design module' and coding strategy based on it. As a result, non-major undergraduates could easily learn block-based scripting tools and acquire core concepts of computational thinking.

Design of Teaching Method for SW Education Based On Python and Team-Shared Mental Model (파이썬과 팀 공유정신모형을 활용한 SW교육 방법의 설계)

  • Lee, Hakkyung;Park, Phanwoo;Yoo, Inhwan
    • Journal of The Korean Association of Information Education
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    • v.24 no.1
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    • pp.1-10
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    • 2020
  • According to the Fourth Industrial Revolution, SW education is emphasized around the world to educate student with new abilities. Following to these global trends, SW education has become mandatory in Korea's 2015 revised curriculum. However, Korean elementary SW education is focused on the use of block-based programming languages. In addition, the point of view of selecting goals and organizing content of SW Education, the affective domain is ignored and focused only on the cognitive and psychomotor domains. So, this study explored method of SW education using the concept of Team-Shared Mental Model for develop of community capacity and Python, which is textual programming language gaining popularity recently. As a result of performing the post test t-test on two groups with similar Team-Shared Mental Model formation, we found that it was effective in forming a Team-Shared Mental Model of the group applying the SW teaching method suggested in the study.

The Development of Interactive Artificial Intelligence Blocks for Image Classification (이미지 분류를 위한 대화형 인공지능 블록 개발)

  • Park, Youngki;Shin, Youhyun
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.1015-1024
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    • 2021
  • There are various educational programming environments in which students can train artificial intelligence (AI) using block-based programming languages, such as Entry, Machine Learning for Kids, and Teachable Machine. However, these programming environments are designed so that students can train AI through a separate menu, and then use the trained model in the code editor. These approaches have the advantage that students can check the training process more intuitively, but there is also the disadvantage that both the training menu and the code editor must be used. In this paper, we present a novel artificial intelligence block that can perform both AI training and programming in the code editor. While this AI block is presented as a Scratch block, the training process is performed through a Python server. We describe the blocks in detail through the process of training a model to classify a blue pen and a red pen, and a model to classify a dental mask and a KF94 mask. Also, we experimentally show that our approach is not significantly different from Teachable Machine in terms of performance.

Contents Analysis of Basic Software Education of Non-majors Students for Problem Solving Ability Improvement - Focus on SW-oriented University in Korea - (문제해결력 향상을 위한 비전공자 소프트웨어 기초교육 내용 분석 - 국내 SW중심대학 중심으로 -)

  • Jang, Eunsill;Kim, Jaehyoun
    • Journal of Internet Computing and Services
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    • v.20 no.4
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    • pp.81-90
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    • 2019
  • Since 2015, the government has been striving to strengthen the software capabilities required for future talent through software-oriented university in Korea. In the university selected as a software-oriented university, basic software education is given to all departments such as humanities, social science, engineering, natural science, arts and the sports within the university in order to foster convergent human resources with different knowledge and software literacy. In this paper, we analyze the contents of basic software education for twenty universities selected as software-oriented universities. As a result of analysis, most of the basic software education which is carried out to the students of the non-majors students was aimed at improvement of problem solving ability centered on computational thinking for future society and improvement of convergence ability based on computer science. It uses block-based educational programming language and text-based advanced programming language to adjust the difficulty of programming contents and contents reflecting characteristics of each major. Problem-based learning, project-based learning, and discussion method were used as the teaching and learning methods for problem solving. In the future, this paper will help to establish the systematic direction for basic software education of non-majors students.