• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.245-246
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• 2020

본 논문에서는 블록형 코딩 방식을 통해 비전공자가 스스로 머신러닝의 쉽게 원리를 구현해 볼 수 있는 딥아이( D.I.Y, Deep AI Yourself) 플랫폼을 제안하였다. 딥아이는 구글의 오픈 소스 블록형 코딩 툴 개발 라이브러리인 Blockly를 기반으로 머신러닝 알고리즘을 쉽게 구현할 수 다양한 블록으로 구성되어 있다. Blockly는 CSR 기반이며 사용자가 개발한 블록 코드는 내부적으로 코드 생성기에 의해 파이썬 코드 등으로 변환되어 백엔드 서버에서 처리를 하며 결과를 사용자에게 제공한다.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.41-52
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• 2018

In Computational thinking is emphasized as a basic learning ability to grow into a key talent in the digital society. There is much interest and discussion on computing education nationally, and the Korean government has also included education in the curriculum. As a result of these changes, the level of computer literacy that preliminary teachers need to be imporved, and the role of computational thinking as a leader in digital society is being emphasized by teachers. Therefore, it is necessary to have a curriculum that can understand computational thinking through various programming learning from preliminary teacher education curriculum. In this study, we designed and taught programming curriculum for non-majored preliminary teachers. Through the developed questionnarie, we analyzed the affect of programming education on the preliminary teacher's development of computational thinking ability.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.55-64
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• 2017

The purpose of this study is to identify the difficulties of learners who started programming after entering college and to search an effective software education method as university liber arts for non-science major students. In order to do this, we analyzed the difficulties of learners in Python programming classes composed of students from various majors at H University through questioning and taught them using flipped class model with pre-questions. The questions that students submit are collected online before class every time, the data on the degree of the difficulty of feeling and the understanding of feeling were obtained through the questionnaire. As a result, for learners who are new to programming, the learners should allocate the process of making the problem into a logical abstraction at the beginning of the curriculum before learning the basic concept of computer language, each lesson should be practiced through the bottom-up problems enough to provide a logical understanding before actual coding. In addition, detailed curriculum should be developed according to characteristics of learner's major, contents and conducting level.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.203-211
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• 2024

Utilizing programming languages for data visualization can enhance the efficiency and effectiveness in handling data volume, processing time, and flexibility. However, practice is required to become proficient in programming. Therefore public data-based the problem bank was developed to practice data visualization in a programming automatic assessment system. Public data were collected based on topics suggested in the curriculum and were preprocessed to make it suitable for users to visualize. The problem bank was associated with the mathematics curriculum to learn various data visualization methods. The developed problems were reviewed to expert and pilot testing, which validated the level of the questions and the potential of integrating data visualization in math education. However, feedback indicated a lack of student interest in the topics, leading us to develop additional questions using student-center data. The developed problem bank is expected to be used when students who have learned Python in primary school information gifted or middle school or higher learn data visualization.

• 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.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.304-307
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• 2021

ML(machine learning) 기술을 활용하여 실용적인 측면에서 일반 사용자들이 바라보고 사용할 수 있도록 다양한 연구 개발이 이루어지고 있다. 특히 최근 개인 사용자의 personal computer와 mobile device의 processing unit의 연산 처리 속도가 두드러지게 빨라지고 있어 ML이 더 생활에 밀접해지고 있는 추세라고 볼 수 있다. 현재 ML시장에서 다양한 솔루션 및 어플리케이션을 제공하는 툴이나 라이브러리가 대거 공개되고 있는데 그 중에서도 Google에서 개발하여 배포한 'Mediapipe'를 사용하였다. Mediapipe는 현재 'android', 'IOS', 'C++', 'Python', 'JS', 'Coral' 등의 환경에서 개발을 지원하고 있으며 더욱 다양한 환경을 지원할 예정이다. 이에 본 팀은 앞서 설명한 Mediapipe 프레임워크를 기반으로 Machine Learning을 사용한 image processing를 통해 일반 사용자들에게 편의성을 제공할 수 있는 알람 프로그램을 연구 및 개발하였다. Mediapipe에서 신체를 landmark로 검출하게 되는데 이를 scikit-learn 머신러닝 라이브러리를 사용하여 특정 자세를 학습시키고 모델화하여 알람 프로그램에 특정 기능에 조건으로 사용될 수 있게 하였다. scikit-learn은 아나콘다 등과 같은 개발환경 패키지에서 간단하게 이용 가능한데 이 아나콘다는 데이터 분석이나 그래프 그리기 등, 파이썬에 자주 사용되는 라이브러리를 포함한 개발환경이라고 할 수 있다. 하여 본 팀은 ML기반의 영상처리 알람 프로그램을 제작하는데에 있어 이러한 사항들을 파이썬 환경에서 기본적으로 포함되어 제공하는 tkinter GUI툴을 사용하고 추가적으로 인텔에서 개발한 실시간 컴퓨터 비전을 목적으로 한 프로그래밍 라이브러리 OpenCV와 여러 항목을 사용하여 환경을 구축할 수 있도록 연구·개발하였다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.9
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• pp.167-176
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• 2023

In this paper, we designed and implemented a graph assessment module that can evaluate graphs in an programming assessment system based on text and numbers. The assessment method of the graph assessment module is self-evaluation that outputs two graphs generated by codes submitted by learners and by answers, automatic-evaluation that converts each graph image into an array, and gives feedback if it is wrong. The data used to generate the graph can be inputted directly or used from external data, and the method of generatng graph that can be evaluated is MATLAB style in matplotlib, and the graph shape that can be evaluated is presented in mathematics and curriculum. Through expert review, it was confirmed that the content elements of the assessment module, the possibility of learning, and the validity of the learner's needs were met. The graph assessment module developed in this study has expanded the evaluation area of the programming automatic asssessment system and is expected to help students learn data visualization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2143-2148
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• 2016

Recently due to development of IT technology, ideas and technology that blend with environment have evolved. This technology can help people's living environment and in the future it is an essential component of the connected society. In this paper, we propose WiT(WiFI Trashcan) which takes advantage of the IT technology fusion and environmental factors at the same time to create a more pleasant environment. WiT provides a free WiFi when trash is disposed in the trash can. WiT detects whether a user disposes trash, determines the volume of the trash and provides free WiFi. To detect trash we use ultrasonic sensor and trash weight is measured by using weight sensor. Also by using Phython programming the measured sensor value is transmitted to Raspberry Pie and WiFi delivery time is determined. We used Arduino and Raspberry Pi to design and implement WiT.

• Communications of Mathematical Education
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• v.34 no.4
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• pp.563-585
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• 2020

This study developed teaching-learning materials for mathematics and coding convergence classes using Python, focusing on 'Prime Factorization' of seventh graders. After applying the teaching methods and contents to the students, they analyzed whether the learners achieved their learning goals. The results were used to modify and supplement teaching and learning materials. Affective domain of learners were also analyzed. The results are that the teaching methods and contents of the developed teaching-learning materials were generally appropriate for learners. The learners understood most of the lessons according to the set teaching methods of all classes. And learners have mostly reached their learning goals. In addition, as a result of analyzing the definition characteristics of learners through follow-up interviews, the interest in mathematics and programming has improved. The developed teaching and learning materials of this study are well consisted mostly of the teaching methods and the contents of the classes, and are organized so that learners can reach most of the learning goals. It also brought positive changes to the affective domain of mathematics and coding, demonstrating the potential for useful use in school.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.221-229
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• 2018

Machine learning and artificial intelligence are core technologies for the 4th industrial revolution. However, it is difficult for the general public to get familiar with those technologies because most people lack programming ability. Thus, we developed a Graphic User Interface(GUI) to overcome this obstacle. We adopted TensorFlow and used .Net of Microsoft for the develop. With this new GUI, users can manage data, apply algorithms, and run machine learning without coding ability. We hope that this development will be used as a basis for developing artificial intelligence in various fields.