• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.53-60
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• 2018

In this study we have developed a Python education program that can be applied to students who have studied block-based coding. We have developed a Python education program based on the extracted the learners' level of block-based coding by analyzing the programs and the textbooks. We extracted the grammar of the block-based coding and constructed the curriculum. Then, the Python education program was composed by 16 hours. After reviewing the appropriateness of the education program through expert validation, it was concluded that the developed Python education program is suitable for applying to learners of block-based coding. We expect that proposed program will be effectively applied as basic resources to learn script coding in class.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.355-362
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• 2019

Elementary students are studying software training to teach coding education using text-based languages such as Python. In general, these higher-level languages support learning activities in combination with a kits for physical computing or various programming languages, in contrast to block-coding programming languages. In this study, we conducted a coding project based on computational thinking using the ARCS model to overcome the difficulties of text-based language. The results of the experiment show that students are generally confident and interested in programming. Especially, the understanding of repetition, function, and object was high in the change of computational thinking power, so this trend is believed to be due to the use of text-based languages and the Python module.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.453-454
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• 2021

본 논문에서는 딥아이(DIY) 블록 프로그래밍과 라즈베리파이의 피지컬 컴퓨팅을 활용해 엑츄에이터와 센서를 제어하고 센서를 통해 수집한 데이터를 전처리해 인공지능에 활용함으로써 효율적인 인공지능 교육 방식을 제안한다. 해당 방식은 블록코딩 방식을 사용함으로써 문자코딩 대비 오타을 줄이고 문법 구애율을 낮춤으로써 프로그래밍 입문자의 구문적 어려움을 최소화하고 개념과 전략적 학습을 극대화한다. 블록프로그래밍 사용언어로 파이썬을 채택해 입문자의 편의를 도모하고 파일처리, 크롤링, csv데이터 추출을 통해 인공지능 교육에 활용한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.405-406
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• 2022

파이썬 및 데이터 분석, 인공지능 코딩 교육을 수행하기 위한 플랫폼인 에듀비(EduB)에서 AI 융합 및 STEAM 교육을 위해 추가 블록을 생성할 수 있는 저작 도구를 개발하였다. 이를 위해 기존에 블록클리 에디터를 작성해서 처리하는 방식 대신 누구나 쉽게 사용할 수 있도록 블록 형태의 탬플릿을 제공하여 새로운 기능과 블록을 쉽게 추가할 수 있는 방법을 제안하고 해당 블록 생성기를 구현하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.231-232
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• 2022

본 논문에서는 직업 교육 분야에 인공지능 융합 교육을 위한 파이썬 블록과 텍스트 동시 코딩 플랫폼을 설계하였다. 플랫폼에 코딩 언어로는 데이터 분석과 머신러닝의 다양한 라이브러리를 지원하고 있는 파이썬으로 하며, 직업 교육의 영역 전문가가 쉽게 직무 기능 파이썬 블록 모듈을 만들어 추가하고 커스터마이징을 할 수 있는 아키텍처를 갖고 있다. 제안한 플랫폼을 활용한 인공지능 융합 직업 분야로 바이오와 기계공학 분야의 블록 모듈을 추가하고 실습 예제를 만드는 과정을 보여 플랫폼의 유용성과 효율성을 보였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.403-404
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• 2022

초보 학습자의 프로그래밍 과정에서 발생하는 오류는 다양하며 학습자가 스스로 오류 분석을 하거나 수정은 어렵다. 이에 본 논문은 블록 프로그래밍 기반의 교육 플랫폼인 에듀비를 활용하여 오류 분석 방안을 제시하고자 한다. 분석 방안의 활용 가능성을 확인하기 위해 실제 학습자들이 분류모델을 생성하고 평가하는 과제를 수행하였고 학습자들이 과제를 수행하면서 발생한 오류사례에 대해 분석하였다.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.239-246
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• 2019

In this paper, we propose an effective software education donation model for the social care class. The types of software education for elementary, middle, and high school for the social care class are in the order of after school classes, club activities, creative experiences, and regular classes. In elementary school students, it is effective to precede visual programming education based on block coding and to conduct curriculum convergence with SW and HW at the beginning, and high school students are carrying out text programming education like Python. Software education for social care class The contribution activity model can be classified into five types such as geographically difficult area, multicultural family areas, orphanage, reformatory, and basic livelihood security recipient. In addition, the survey results show that the students' interest in software education and their satisfaction are all very high at 96%. Effective software education for the social care class In the donation model, the lecturers consist of responsible professors, lecturers, and assistant instructors. Software training for the social care class is effective on a year-by-year basis, so that students can feel authenticity and trust. Software education contents focus on visual programming and physical computing education in elementary or middle school, and text programming and physical computing education in high school. It is necessary to construct a software education donor matching system that helps efficient management of software education donations by efficiently matching schools (consumers: elementary, middle, high school) and software education donors(suppliers).

• 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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.7
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• pp.801-806
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• 2019

Recently, each university has been lecturing a lot on the liberal arts subject by emphasizing software education. However, students are often motivated by the difficulty of learning programming, the inability to recognize why they should learn programming, or even the fact that they do not try. The reason for the resilience is to guide programming learning to have the power to recover from the point of abandonment to proceed with the learning again. In this study, recovery elasticity pre-post-examination was conducted on the parts that learned scratches and those that learned Python. Studies have shown that while Scratch appears to be trying to accept and work harder, Python has been relatively more difficult than Scratch. It is expected that this study will help identify the factors that can sustain programming learning.