• Title/Summary/Keyword: Coding Learning

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Design of Learning Process with Code Reconstruction Principle for Non-computer Majors

  • Hye-Wuk, Jung
    • International Journal of Advanced Culture Technology
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    • 제10권4호
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    • pp.175-180
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    • 2022
  • To develop computational thinking skills, university students are learning how to solve problems with algorithms, program commands and grammar, and program writing. Because non-computer majors have difficulty with computer programming-related content, they need a learning method to acquire coding knowledge from the process of understanding, interpreting, changing, and improving source codes by themselves. This study explored clone coding, refactoring coding, and coding methods using reconstruction tools, which are practical and effective learning methods for improving coding skills for students who are accustomed to coding. A coding learning process with the code reconstruction principle was designed to help non-computer majors use it to understand coding technology and develop their problem-solving ability and applied the coding technology learning method used in programmer education.

효과적인 코딩교육을 위한 학습 모델에 대한 연구 (A Stduy on Learning Model for Effective Coding Education)

  • 김시정;조도은
    • 한국융합학회논문지
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    • 제9권2호
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    • pp.7-12
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    • 2018
  • 최근 4차 산업혁명 시대에 접어들면서 사회적으로 코딩교육에 대한 관심이 높아지고, 학교 내 강좌 개설이 확대되고 있다. 코딩교육은 기존 전공자 중심의 강좌 개설에서 비전공자를 대상으로 한 교양강좌 개설의 형태로 강좌수가 증가하고 있다. 소프트웨어 교육을 통한 컴퓨팅 사고 및 창의력 중심의 교육에 대한 중요성이 강조되면서 효과적인 코딩 교육에 대한 연구가 절실히 요구 된다. 본 연구는 학습자의 참여와 흥미를 높이는 효과적인 코딩학습 모델에 대한 연구를 진행하였다. 제안된 학습 모델은 학습자가 수업의 중심이 되는 프로젝트를 미리 디자인 하고, 이를 해결하는 과정에서 다양한 문법의 인지와 자료 탐색을 수행하도록 설계 하였다. 제안된 학습 모델의 적용과 사례 분석을 통하여 향상된 학습 결과를 확인 하였다. 제안한 학습 모델을 다양한 코딩 수업 과정에 적용한다면 보다 향상된 학습 성과를 올릴 수 있을 것으로 기대된다.

유아코딩교육에 관한 원장의 지지, 보육교사의 학습공동체 참여 및 코딩교육 실행 의도 간의 구조적 관계 (The Effects of a Childcare Center Director's Support for Coding Education on the Intention of Childcare Teacher's Participation in Learning Communities and the Intention to Implement Coding Education.)

  • 김보현;이홍재
    • 한국보육지원학회지
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    • 제17권5호
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    • pp.25-41
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    • 2021
  • Objective: The purpose of this study was to analyze the effect of a director's support for coding education perceived by childcare teachers on the participation of teachers in the learning community and the intention to implement coding education. Methods: The participants of this study were 312 early childhood teachers working at daycare centers in Seoul, Gyeong-gi, and In-cheon area. The data were collected through the survey questionnaires and analyzed using a structural model to explore the relationship between variables. Results: Verifying the mediating effect of infant teacher participation in the learning community between a director's support and infant teacher's intention to implement coding education positively mediates the director's support and infant teacher's intention to implement coding education. In particular, it was discovered that the intention to participate in coding-related learning communities had the greatest impact on infant teachers' intentions to implement coding education based on total effectiveness. Conclusion/Implications: The above analysis results suggest that in order to enhance the intention of infant teachers to implement coding education, it is necessary to support the learning community related to coding education and encourage participation from infant teachers.

Multi-Description Image Compression Coding Algorithm Based on Depth Learning

  • Yong Zhang;Guoteng Hui;Lei Zhang
    • Journal of Information Processing Systems
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    • 제19권2호
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    • pp.232-239
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    • 2023
  • Aiming at the poor compression quality of traditional image compression coding (ICC) algorithm, a multi-description ICC algorithm based on depth learning is put forward in this study. In this study, first an image compression algorithm was designed based on multi-description coding theory. Image compression samples were collected, and the measurement matrix was calculated. Then, it processed the multi-description ICC sample set by using the convolutional self-coding neural system in depth learning. Compressing the wavelet coefficients after coding and synthesizing the multi-description image band sparse matrix obtained the multi-description ICC sequence. Averaging the multi-description image coding data in accordance with the effective single point's position could finally realize the compression coding of multi-description images. According to experimental results, the designed algorithm consumes less time for image compression, and exhibits better image compression quality and better image reconstruction effect.

플립드러닝과 하브루타 학습법에 기반한 학습자 중심의 코딩 수업 설계 및 적용 (Design and application of learner-centered coding class based on flip-learning and havruta learning method)

  • 이애리
    • 디지털산업정보학회논문지
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    • 제14권2호
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    • pp.69-78
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    • 2018
  • When it comes to the value of modern education, teachers are required to perform the role of a helper to promote interaction between learners, the role of a manager to facilitate smooth learning, and the role of a guide who has expert knowledge in the learning contents. Therefore, this study investigated what kind of learner-centered teaching methods there are, which require teachers to perform the roles of helper, manager, and guide, and conducted a pedagogical research on coding education to explore class models for self-directed learning. Subsequently, a class model was proposed by applying the flipped learning and havruta learning to a coding class. In this study, the learner-centered education methods of flipped learning and havruta method were applied to constructing a coding class as a university general education course. The feature of this class is that it enables dynamic interaction between teachers and learners as well as active interaction between leaners in a classroom instruction. After applying the proposed method to the actual class and analyzing it, the students taught using suggested method were more positively assessed in learning interest than those taught using a traditional method. And that in academic achievement as well, suggested method was more effective.

코딩수업을 위한 학습자 중심의 플립드 러닝 적용 사례 연구 (A Study on a Case Applying Learner-Centered Flipped Learning for Coding Classes)

  • 이애리
    • 실천공학교육논문지
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    • 제9권1호
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    • pp.23-30
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    • 2017
  • 본 연구는 대학의 교양수업인 코딩수업에 플립드 러닝을 적용한 사례 연구이다. 컴퓨터를 전공하지 않는 학생들이 배우는 교양 코딩 수업은 전문가 양성을 위한 코딩 교육과는 차별화된 교육방법이 필요하다. 본 연구에서는 교양 수업으로의 코딩교육을 위한 플립드 러닝 수업 모형을 제안하고 그 효과 및 가능성을 살펴보았다. 학습자는 언제 어디서나 원하는 시간, 장소에서 온라인 콘텐츠로 학습을 하고, 수업시간에는 학습된 내용에 근거한 실습교육에 집중하는 플립드 러닝을 통해 교수 학습의 효율을 극대화하는 방안을 모색하였다. 실제 수업에 적용 후 사전 사후 설문을 실시하여 플립드 러닝 방식의 수업을 진행한 학생들이 전통적인 방식으로 수업을 진행한 학생들보다 학습만족도에 대해 긍정적으로 평가하였고 학습 성취도에 대한 결과도 더 나은 효과가 있음을 확인하였다.

Design and Development of Robot Command Card for Coding Learning

  • Han, Sun-Gwan
    • 한국컴퓨터정보학회논문지
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    • 제23권1호
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    • pp.49-55
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    • 2018
  • In this paper, we propose a design and development of instructional cards to understand the grammar of coding, solving the problems and extending the computational thinking in the robot-driven environment. First, we designed the input/output module of the robot to process the coding grammar through the function analysis of the robot. And we designed the module of command card to learn coding grammar using color sensors. We have proven the validity of the designed instruction card by examining the experts to see if it is suitable for coding grammar learning. Designed robot and command card were developed with 28 cards and sensor robot. After applying the developed robot and command card to the elementary school students, the questionnaire showed that students grow the understanding and confidence of coding. In addition, students showed an increased need for programming learning.

소스코드 취약성 분류를 위한 기계학습 기법의 적용 (Application of Machine Learning Techniques for the Classification of Source Code Vulnerability)

  • 이원경;이민주;서동수
    • 정보보호학회논문지
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    • 제30권4호
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    • pp.735-743
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    • 2020
  • 시큐어코딩은 악의적인 공격 혹은 예상치 못한 오류에 대한 강인함을 제공해줄 수 있는 안전한 코딩 기법으로 정적분석도구의 지원을 통해 취약한 패턴을 찾아내거나 오염 데이터의 유입 가능성을 발견한다. 시큐어코딩은 정적기법을 적극적으로 활용하는 만큼 룰셋에 의존적이라는 단점을 가지며, 정적분석 도구의 복잡성이 높아지는 만큼 정확한 진단이 어렵다는 문제점을 안고 있다. 본 논문은 시큐어코딩을 지원하는 목적으로 기계학습 기법 중 DNN과 CNN, RNN 신경망을 이용하여 개발보안가이드 상의 주요 보안약점에 해당하는 패턴을 학습시키고 분류하는 모델을 개발하며 학습 결과를 분석한다. 이를 통해 기계학습 기법이 정적분석과 더불어 보안약점 탐지에 도움을 줄 수 있을 것으로 기대한다.

A Study on Coding Education for Non-Computer Majors Using Programming Error List

  • Jung, Hye-Wuk
    • International Journal of Advanced Culture Technology
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    • 제9권1호
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    • pp.203-209
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    • 2021
  • When carrying out computer programming, the process of checking and correcting errors in the source code is essential work for the completion of the program. Non-computer majors who are learning programming for the first time receive feedback from instructors to correct errors that occur when writing the source code. However, in a learning environment where the time for the learner to practice alone is long, such as an online learning environment, the learner starts to feel many difficulties in solving program errors by himself/herself. Therefore, training on how to check and correct errors after writing the program source code is necessary. In this paper, various types of errors that can occur in a Python program were described, the errors were classified into simple errors and complex errors according to the characteristics of the errors, and the distributions of errors by Python grammar category were analyzed. In addition, a coding learning process to refer error lists was designed to present a coding learning method that enables learners to solve program errors by themselves.

A Study on the Current State of Artificial Intelligence Based Coding Technologies and the Direction of Future Coding Education

  • Jung, Hye-Wuk
    • International Journal of Advanced Culture Technology
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    • 제8권3호
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    • pp.186-191
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    • 2020
  • Artificial Intelligence (AI) technology is used in a variety of fields because it can make inferences and plans through learning processes. In the field of coding technologies, AI has been introduced as a tool for personalized and customized education to provide new educational environments. Also, it can be used as a virtual assistant in coding operations for easier and more efficient coding. Currently, as coding education becomes mandatory around the world, students' interest in programming is heightened. The purpose of coding education is to develop the ability to solve problems and fuse different academic fields through computational thinking and creative thinking to cultivate talented persons who can adapt well to the Fourth Industrial Revolution era. However, new non-computer science major students who take software-related subjects as compulsory liberal arts subjects at university came to experience many difficulties in these subjects, which they are experiencing for the first time. AI based coding technologies can be used to solve their difficulties and to increase the learning effect of non-computer majors who come across software for the first time. Therefore, this study examines the current state of AI based coding technologies and suggests the direction of future coding education.