• Title/Summary/Keyword: SW 프로그래밍 교육

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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.

A Study on Deep Learning model for classifying programs by functionalities (기능성에 따른 프로그래밍 소스코드 분류를 위한 Deep Learning Model 연구)

  • Yoon, Joo-Sung;Lee, Eun-Hun;An, Jin-Hyeon;Kim, Hyun-Cheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.615-616
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    • 2016
  • 최근 4차 산업으로 패러다임이 변화함에 따라 SW산업이 더욱 중요하게 되었다. 이에 따라 전 세계적으로 코딩 교육에 대한 수요도 증가하게 되었고 기업에서도 SW를 잘 만들기 위한 코드 관리 중요성도 증가하게 되었다. 많은 양의 프로그래밍 소스코드를 사람이 일일이 채점하고 관리하는 것은 사실상 불가능하기 때문에 이러한 문제를 해결할 수 있는 코드 평가 시스템이 요구되고 있다. 하지만 어떤 코드가 좋은 코드인지 코드를 어떻게 평가해야하는지에 대한 명확한 기준은 없으며 이에 대한 연구도 부족한 상황이다. 최근에 주목 받고 있는 Deep Learning 기술은 이미지 처리, 자연어 처리등 기존의 Machine Learning 알고리즘이 냈던 성과보다 훨씬 뛰어난 성과를 내고 있다. 하지만 Programming language 영역에서는 아직 깊이 연구된 바가 없다. 따라서 본 연구에서는 Deep Learning 기술로 알려진 Convolutional Neural Network의 변형된 형태엔 Tree-based Convolutional Neural Network를 사용하여 프로그래밍 소스코드를 분석, 분류하는 알고리즘 및 코드의 Representation Learning에 대한 연구를 진행함으로써 이러한 문제를 해결하고자 한다.

A Problem Solving Learning Model using Online Judge System (온라인 채점 시스템을 활용한 문제해결학습 모형 탐색)

  • Jeon, Jun Ho;Jung, Ungyeol;Lee, Young-Jun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.417-418
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    • 2018
  • 오늘날 SW 중심사회에서 컴퓨팅 사고력은 꼭 필요한 핵심역량으로 중요성이 강조되고 있으며, 이에 따라 2015 개정 교육과정에서는 소프트웨어(SW) 교육, 정보 교육을 강화하였다. 온라인 채점 시스템은 학생들이 문제해결 소스코드를 제출하면 이를 평가하고, 적절한 피드백을 제공하므로 자기주도적인 문제해결학습 경험과 프로그래밍 스킬을 향상시키는데 도움을 줄 수 있어 사용이 확대되고 있다. 그러나 채점시스템에 탑재된 문제들은 반구조화된 형태로 되어 있어 학생들이 컴퓨팅 사고단계 중 1단계인 문제공식화(추상화) 단계를 충분히 연습하지 못할 가능성이 있다. 본 논문에서는 이를 보완한 문제해결학습 학습모형을 제안하고, 논의한다.

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Development of Debugging Tasks and Tool for Process-centered Assessment on Software Education (소프트웨어 교육에서 과정중심 평가를 위한 디버깅 과제 및 도구 개발)

  • Lyu, Kigon;Kim, Soohwan
    • The Journal of Korean Association of Computer Education
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    • v.23 no.4
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    • pp.61-68
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    • 2020
  • The purpose of this study is to develop a debugging task to support process-centered assessment on software(SW) education and to develop a service site. Achievement criteria for programming in elementary and middle school SW curriculum consists of control structures such as repetition and condition, and elements such as variables and input/output. In order to apply the process-centered assessment presented by the Ministry of Education, it is necessary to present tasks that can be used in the actual classroom environment and to consider connection with achievement levels. Therefore, in this study, 12 tasks for elementary school and 15 tasks for middle school were developed as debugging tasks and their validity was verified. As a result of conducting Delphi verification for validity, it was found that the level and content of the debugging task are appropriate. In addition, as a result of verifying the usability of the debugging challenge site by applying a heuristic evaluation method, it was found that it is suitable for use in the real educational field.

Analysis of Non-Computer Majors' Difficulties in Computational Thinking Education (Computational Thinking 교육에서 나타난 컴퓨터 비전공 학습자들의 어려움 분석)

  • Kim, Soohwan
    • The Journal of Korean Association of Computer Education
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    • v.18 no.3
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    • pp.49-57
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    • 2015
  • The purpose of this study is to provide considerations through investigation and analysis about non-computer major learners' difficulties in computational thinking education. In recent, the importance of human resources development in convergence based on computational thinking is increasing internationally and a Korean university is selecting CT as a mandatory subject. I taught CT with Scratch at C university in Seoul for two semesters in 2014 and investigated and analyzed what difficulties non-Computer majors felt in the process of CT education. The result showed they felt the following some difficulties in order: the concept of variable and list; to think a idea and implement it; which commands should be selected. The pleasure and the interest can be apply to decrease difficulty, because they affect self-programming ability and self-CT capability each other statistically. Although Scratch is an easy and an intuitive programming language, it is needed to consider to provide appropriate learning time to student for using and applying commands.

Analysis of student perception of learning block-type educational programming tools in online learning environment (온라인 학습 환경에서의 블록형 교육용 프로그래밍 도구 학습에 대한 학생 인식 분석)

  • Lee, SangHyeon;Ann, SungHun
    • Journal of The Korean Association of Information Education
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    • v.24 no.6
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    • pp.519-528
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    • 2020
  • Due to COVID-19, most schools are conducting online learning. In this study, a total of 12 block-type educational programming tool classes were conducted in the form of online learning for 6th grade elementary school students, and then quantitatively and qualitatively analyzed students' perceptions of their learning experience on entry learning. As a result of the analysis, it was found that the learner easily recognized the use of the entry program and the difficulty of learning contents, and the learning satisfaction was high. When students face difficulties, it was found that they received the most help from the hint function provided by the site itself, and they were found to be less aware of the necessity of teachers when learning entry. As a result of the qualitative analysis, it was found that the learner felt a lot of novelty and fun through easy and simple operation. On the other hand, it was found that the learning contents and hints were not understood, which made them difficult and felt that the hint contents were insufficient. It was found that students felt a sense of accomplishment by creating and manipulating programs as they wish.

A study on development of educational contents about combining computational thinking with design thinking (창의·컴퓨팅사고 교육내용 기본 설계 연구)

  • Oh, Kyung-Sun;Suh, Eung-Kyo;Chung, Haejin
    • Journal of Digital Convergence
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    • v.16 no.5
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    • pp.65-73
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    • 2018
  • The objective of this study is to suggest the contents of education for software for Undergraduates who are not majoring in IT to cultivate creative and convergent people to prepare for the 4th Industrial Revolution. In the background, this study investigated the relationship between design thinking and computing thinking factors and examined the direction of software education to develop creative problem solving abilities. Two specialist questionnaires and focus group interviews were used to derive two levels of content elements for design thinking based computing thinking. According to the results of the analysis, This research is based on the process of design thinking, focusing on diffuse thinking at the first level, and the whole contents are composed. The process of producing a prototype was used to derive the computational thinking contents necessary for problem solving. This study focuses on convergent thinking at the second level and draws out the contents of computing thought to embody the first level contents of various ideas and stories into computing. It is expected that this study will be used as basic data to develop the content and method of education as SW education for non - major subject in university.

The Effects of Introverted or Extroverted Personality Type on The Resilience of Java Programming Learning : Focused on Students at Technical-Specialized High School (내·외향적 성격유형이 자바 프로그래밍 학습의 회복탄력성에 미치는 영향 : 공업계 특성화고등학교 학생을 중심으로)

  • Kim, Semin;You, Kangsoo
    • Journal of The Korean Association of Information Education
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    • v.22 no.4
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    • pp.439-446
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    • 2018
  • With the development of the realm of software and its getting the limelight, technical-specialized high schools are trying hard to improve their students' ability in terms of the realm of software in the latest. This study compared and analyzed targeting for students who are learning Java program how much the type of personality of learners influences on the improvement of the resilience. As a result, the learners having introverted personality didn't have a meaningful result on the improvement of the resilience which is necessary for the programming learning. Vice versa, the learners having extroverted personality had a meaningful result on the improvement of the resilience through that personality. Through this research, we can seek after the way for the improvement of learners' resilience which mutually benefits learners having extroverted personality or introverted personality.

The Effect of Software Education Teaching Efficacy(SE-TE) of In-service Teachers on Backward Design based TPACK-P Teachers' Training Program (백워드 설계 기반 TPACK-P 교육 프로그램이 교사의 SW교육 교수효능감(SE-TE)에 미치는 영향)

  • Yi, Soyul;Lee, YoungJun
    • The Journal of Korean Association of Computer Education
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    • v.22 no.3
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    • pp.113-121
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    • 2019
  • The purpose of this study is to develop TPACK-P teachers' training program based on backward design included understanding of backward design principles in order to enhance teachers' professionalism of software education and informatics education. This teachers' training program was conducted for non-informatics teachers in 32 hours. As a results, teachers showed that post-test result of SE-TEBI was higher than pre-test and the t-test results showed that the total value of SE-TE was t=-3.541(p< .01), subscale PSETE was t=-3.559( p< .01) and SEOE was t=-2.258(p< .05). Therefore, we demonstrate that it helps improve the teaching professionalism of teachers. However, as a result of the test, teachers' PSETE tend to be lower in SEOE, which is interpreted as a lack of confidence in the lessons. Therefore, in further study, it is necessary to develop a teacher education program that can promote the confidence of teachers.

Learning Effects of Flipped Learning based on Learning Analytics in SW Coding Education (SW 코딩교육에서의 학습분석기반 플립러닝의 학습효과)

  • Pi, Su-Young
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.19-29
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    • 2020
  • The study aims to examine the effectiveness of flipped learning teaching methods by using learning analytics to enable effective programming learning for non-major students. After designing a flipped learning programming class model applied with the ADDIE model, learning-related data of the lecture support system operated by the school was processed with crawling. By providing data processed with crawling through a dashboard so that the instructor can understand it easily, the instructor can design classes more efficiently and provide individually tailored learning based on this. As a result of analysis based on the learning-related data collected through one semester class, it was found that the department, academic year, attendance, assignment submission, and preliminary/review attendance had an effect on academic achievement. As a result of survey analysis, they responded that the individualized feedback of instructors through learning analysis was very helpful in self-directed learning. It is expected that it will serve as an opportunity for instructors to provide a foundation for enhancing teaching activities. In the future, the contents of social network services related to learners' learning will be processed with crawling to analyze learners' learning situations.