• Title/Summary/Keyword: 프로그래밍 오류 분석

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The Analysis of Relationship between Academic Achievement Level of Concept Learning and Error Type in Online Programming Course (온라인 프로그래밍 개념학습 성취수준과 오류유형과의 관계 분석)

  • Kim, Jiseon;Kim, Yungsik
    • The Journal of Korean Association of Computer Education
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    • v.17 no.5
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    • pp.43-51
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    • 2014
  • This study has purpose on analyzing the error types which are identified after middle and high school students perform the online programming assignments and also has the purpose on the analysis of correlation between the frequency of error occurrence according to academic achievement level in programming concept learning and types of errors analyzed previously. For this study, the syntax, logical, and coding errors are analyzed from the performed results of programming research assignment for 88 students. Analyzed results show that the logical error has the highest occurrence rate of 69.3% among three types of errors, and it has been shown meaningful difference in the frequency of error occurrence between three achievement level groups of high, middle, and low. In the correlation analysis of achievement level and error types, it shows negative relationship between logical error and coding error, and therefore it can be concluded that as achievement level is higher, both logical and coding errors tend to occur less. In the correlation analysis in error types, it shows positive relationship between syntax error and coding error.

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A Case Study of Python Programming Error in an Online Learning Environment (온라인 학습 환경에서 발생하는 파이썬 프로그래밍 오류 사례 분석)

  • Jung, Hye-Wuk
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.247-253
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    • 2021
  • There are various programming errors that occur in the course of programming practice for beginners in computer programming. At this time, since it is difficult for learners to recognize errors by themselves, they correct program errors through the instructor's feedback. However, as students learn programming techniques in an online learning environment due to the COVID-19 pandemic, there is a limit to interaction between the students and the instructor in comparison with offline classes, so it is necessary for learners to develop their own ability to solve programming errors by themselves. Therefore, in this study, error cases in online programming classes using the Python language are analyzed and an online programming education method that can improve learners' ability to correct programming errors is proposed based on the analysis results.

Suggest on Error Analysis Supporting System for Constructing Self-directed Learning Environment to Programming Language in Secondary School (중등학교에서 자기 주도적 프로그래밍 학습 환경 구축을 위한 오류분석 지원 시스템 제안)

  • Lee, JaeYoung;Yu, ByeongGeon;Lee, WonGyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.361-363
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    • 2016
  • 전 세계적으로 프로그래밍 교육에 대한 관심이 증가에 따라 프로그래밍 교육에 대한 중요도와 평가도 중요해졌다. ACM-ICPC 프로그래밍 대회 같은 여러 프로그래밍 대회가 있고 대회 출전을 돕기 위한 온라인 평가 시스템이 전형적인 예이다. 이런 온라인 평가 시스템들을 참고하여 중등학교 학생의 프로그래밍 언어 학습에 도움을 줄 수 있는 프로그램을 설계하기 위한 오류분석 지원 시스템을 제안한다. 본 연구에서는 오류분석 지원 시스템을 통하여 프로그래밍 언어 학습을 함에 있어서 발생할 수 있는 오류들을 분석하여 실제 프로그래밍 교육 환경에 도움을 주고자 한다.

Analysis of Error Types Occurring in Programming Classes for Non-majors (비전공자의 프로그래밍 수업에서 발생하는 오류 유형 분석)

  • Lee, Myung-Suk
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.719-721
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    • 2022
  • 본 논문은 비전공자의 프로그래밍 수업에서 발생하는 오류들을 수집하고 오류 유형을 분석하여 초보 프로그래머의 오류 문제 해결을 쉽게 접근할 수 있도록 하고 교수자가 하는 피드백을 인공지능을 통해 자동화하는 시스템을 개발하는 기초 연구가 되는 것을 목표로 하였다. 결과로는 분석한 오류 유형에는 컴파일 타임에러가 가장 많이 발생하였고 그중에서도 구문에러(syntax error), 그중 missing 에러가 가장 많이 나타났다. 비전공자 학습자는 에러메시지를 이해하는 것을 가장 어려워하였고, 교수자의 피드백을 가장 절실하게 필요로 하였다. 좋은 오류 메시지는 초보자 프로그래머를 위한 프로그램 사용성에 큰 차이를 만들 수 있어 오류 메시지 내용을 단순화시킬 필요가 있으며, 학습자와 교수자의 상호작용을 효율적으로 이루어지게 할 필요가 있고, 인공지능을 통한 피드백을 자동화할 필요가 있음을 제언하였다. 향후 과제로는 오류 유형 중 자주 발생하는 구문에러부터 해결할 수 있는 인공지능을 이용한 자동 피드백 프로그램을 만들어 학습자와 실시간 상호작용하여 온라인에서 프로그래밍 수업이 가능한 학습시스템을 구현하고자 한다.

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Development of NXC Robot Programming Supporting System Based on Types of Programming Error (오류분석에 기반한 NXC 로봇프로그래밍 지원시스템의 개발)

  • Nam, Jae-Won;Yoo, In-Hwan
    • Journal of The Korean Association of Information Education
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    • v.15 no.3
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    • pp.375-385
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    • 2011
  • Computer education is moving its focus from skill oriented education to improving students' creativity and problem solving ability. Thus, the importance of programming education is being strengthened. However, programming education was biased to grammar oriented language that has been limits of students' interest. Robot programming is problem solving itself, and by allowing students to directly see the robot which is the output of programming, can help interest and motivate to the students. In fact, it is still observed that the students are facing difficulties due to various kinds of errors during the programming education. Therefore, this study categorizes and analyzes the errors students are facing during robot programming, and based on that, a support tool to help treat errors developed. The developed supporting system for error solving reduces the frequency of errors and provides the set of coding instruction, NXC language and error message in Korean, examples and detailed information for each stage of education, function removing major coding errors, and code sorting and indication of row number. This study also confirmed that the supporting tool is helpful in reducing and solving errors after input.

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Influential Error Factors of Robot Programming Learning on the Problem Solving Skill (로봇 프로그래밍 학습에서 문제해결력에 영향을 미치는 오류요소)

  • Moon, Wae-Shik
    • Journal of The Korean Association of Information Education
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    • v.12 no.2
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    • pp.195-202
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    • 2008
  • The programming learning by using a robot may be one of the most appropriate learning methods for enabling students to experience the creative learning of future society by avoiding the existing stereotyped style educational environment, and understand and improve algorithm which is the basic fundamental of mathematics and science. This study proposed four types of items of errors which may occur during robot programming by elementary school students, and made elementary school students in the fifth and sixth grades learn robot programming after developing the curriculum for the robot programming. Then, the study collected and classified errors that had occurred during the process of learning, and conducted a comparative analysis of computer-based programming language which had been previously studied. This study identified that robot programming in elementary school was shown superior to existing computer-based programming language as a creative learning method and tool through the field experience.

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Automatic Programming-Error Detection by Plan Matching and Program Execution (플랜정합과 프로그램 실행을 통한 프로그래밍 오류분석에 관한 연구)

  • Song, Jong-Soo;Lim, Soon-Bum
    • Journal of Korea Multimedia Society
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    • v.7 no.7
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    • pp.985-997
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    • 2004
  • In this paper, an automatic programming error-diagnosing system is provided for novice C programmers by plan matching and program execution. Program execution results are used to provide flexibility in describing the relationship between programming plans, to verify the correctness of the plan matching differences, and to detect the influence of a plan's error to the related plan. We can give easy and informative explanations to the students according to a plan's error and the resulting effects to related plans. The students are consulted to check their program's correctness with the given test data. Our error-diagnosing system is tested with student's programs for the 14 various and difficult problems and gives acceptable recognition results.

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Analysis of error data generated by prospective teachers in programming learning (예비교사들이 프로그래밍 학습 시 발생시키는 오류 데이터 분석)

  • Moon, Wae-shik
    • Journal of The Korean Association of Information Education
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    • v.22 no.2
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    • pp.205-212
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    • 2018
  • As a way to improve the software education ability of the pre - service teachers, we conducted programming learning using two types of programming tools (Python and Scratch) at the regular course time. In programming learning, various types of errors, which are factors that continuously hinder interest, achievement and creativity, were collected and analyzed by type. By using the analyzed data, it is possible to improve the ability of pre-service teachers to cope with the errors that can occur in the software education to be taught in the elementary school, and to improve the learning effect. In this study, logic error (37.63%) was the most frequent type that caused the most errors in programming in both conventional language that input text and language that assembles block. In addition, the detailed errors that show a lot of differences in the two languages are the errors of Python (14.3%) and scratch (3.5%) due to insufficient use of grammar and other errors.

Analysis of Error Types occurring on Elementary School Student's Programming Learning (초등학생들이 프로그래밍 학습 시 발생하는 오류유형 분석)

  • Moon Wae-Shik
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.2 s.40
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    • pp.319-327
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    • 2006
  • Higher grade elementary school students who have superior cognitive abilities need education of basic principles of computer or programming rather than computer in education. In this study, all the errors occurring while elementary school students wrote and executed programs were collected. in the method of predicting and dealing with possible-to-occur problems on programming education of the higher grades (4th, 5th and 6th grades) during their optional special activities or during talent aptitude activities after school, classified by type and analyzed. If the errors analyzed are put to practical use, optimal programming curriculums could be written and such curriculums could be a great contribution to induction of learning effect and interest on teaching learning. It was found by analyzing the errors collected for this study that the most of elementary school students during programming felt difficulties in simple errors by poor use of software and in simple coding by poor use of reserved words in English. In the next, students occurred errors by difficulties in understanding grammar. It was exposed that these error types were the opposite phenomena to those analyzed by commercial software developing companies, however, it is predicted that if teaching learning is setting improved, the same phenomena could be found desirably.

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A Study of Knowledge Representation for Effective Programming Error Detection (효과적인 프로그래밍 오류분석을 위한 지식표현연구)

  • 송종수;송두헌
    • Journal of the Korea Computer Industry Society
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    • v.4 no.10
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    • pp.559-570
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    • 2003
  • Automation of programming-error detection is an important part of intelligent programming language tutoring systems. In this paper, a new programming error detection approach for novice programmers is proposed by plan matching and program execution. Program execution result is used to resolve the restricted programming plan representation and to provide a confirming evidence for the plan matching differences. By checking the values of shared variable between the related plans, we can detect the cause-effect relationship between the plans. With this relationship and the test data, we can explain the program's unexpected behaviors according to the bug's cause and resulting effects.

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