• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.715-718
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• 2023

본 연구는 ChatGPT 모델의 특성과 장점을 활용하여 프롬프트 엔지니어링 기법을 연구하고자 하였다. 프롬프트는 엔지니어가 원하는 결과를 잘 얻을 수 있도록 하는 것이 목표이기 때문에 ChatGPT와 프롬프트 엔지니어링의 상호작용과 효과적인 프롬프트 엔지니어링 기법을 개발할 필요가 있다. 연구 방법으로는 ChatGPT에 대한 학습자 사전 설문조사에서 학습자를 분석하였고, 이를 반영하여 프로그래밍 문제를 제시하고 해결하는 과정을 거치면서 다양한 ChatGPT 사용에 대한 분석과 학습자 분석이 이루어졌다. 그 결과 비전공자가 듣고 있는 프로그래밍 수업에서 ChatGPT를 활용하여 얻은 통찰력으로 프롬프트에 필요한 가이드 라인을 마련하였다. 본 연구를 기반으로 향후 비전공자를 위한 파이썬 프로그래밍 수업에서 ChatGPT를 활용한 수업모델을 제시하고 학습자의 피드백 또는 적응형 학습에 활용할 수 있는 방법을 모색할 것이다.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.245-258
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• 2022

Computational thinking with programming skills has been widely emphasized for future industrial engineering researchers and practitioners in Industry 4.0. However, industrial engineering students still have limited opportunities to improve their computational thinking abilities during university coursework. In this regard, this research study proposes to use Python programming language for teaching classical Industrial Engineering subjects. For a specific case study, we designed and instructed an Engineering Economy lecture which cultivates the concept and techniques of economic analysis for engineering students. During the class, we introduced the usage of several Python libraries that include numpy-financial for basic financial functions, numpy and scipy for simple numerical computation and analysis, and matplotlib for data visualization. Anonymous class evaluation survey showed the effectiveness of the proposed teaching method in terms of both educational satisfaction and contents delivery. Finally, we found additional needs for providing lectures that adopt the similar teaching style to the proposed method.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.369-376
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• 2021

With the development of artificial intelligence (AI) technology, discussions on the use of artificial intelligence are actively taking place in many fields, and various policies for nurturing artificial intelligence talents are being promoted in the field of education. In this study, we propose a robot programming framework using artificial intelligence technology, and based on this, we use Python, which is used frequently in the machine learning field, and an educational robot that is highly utilized in the field of education to provide artificial intelligence. (AI) education program was proposed. The level of autonomous driving (levels 0-5) suggested by the International Society of Automotive Engineers (SAE) is simplified to four levels, and based on this, the camera attached to the robot recognizes and detects lines (objects). The goal was to make a line detector that can move by itself. The developed program is not a standardized form of solving a given problem by simply using a specific programming language, but has the experience of defining complex and unstructured problems in life autonomously and solving them based on artificial intelligence (AI) technology. It is meaningful.

• 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.

• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.265-273
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• 2020

In this paper, to design a basic data science practice curriculum as a liberal arts subject for non-majors, we proposed an educational method using an Excel(spreadsheet) data analysis tool. Tools for data collection, data processing, and data analysis include Excel, R, Python, and Structured Query Language (SQL). When it comes to practicing data science, R, Python and SQL need to understand programming languages and data structures together. On the other hand, the Excel tool is a data analysis tool familiar to the general public, and it does not have the burden of learning a programming language. And if you practice basic data science practice with Excel, you have the advantage of being able to concentrate on acquiring data science content. In this paper, a basic data science practice curriculum for one semester and weekly Excel practice contents were proposed. And, to demonstrate the substance of the educational content, examples of Linear Regression Analysis were presented using Excel data analysis tools.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.6
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• pp.163-172
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• 2021

To specify a formal semantics for a programming language is to do a significant part for design, standardization and translation of it. The Python is popular and powerful, it is necessary to do research for a formal semantics to specify a static and dynamic semantics for Python clearly in order to design a similar language and do an efficient translation. This paper presents the Action Equation 2.0 that specifies a formal semantics for Python to change and update Action Equation. To measure the execution time for Python programs, we implemented the semantic structure specified in Action Equation 2.0 in Java, and prove through simulation that Action Equation 2.0 is a real semantic structure that can be implemented. The specified Action Equation 2.0 is compared to other descriptions, in terms of readability, modularity, extensibility, and flexibility and then we verified that Action Equation 2.0 is superior to other formal semantics.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.742-744
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• 2004

본 논문은 웹 서비스 프로토콜인 SOAP기반의 병렬처리 프레임웍인 pyBubble의 설계와 구현에 관한 것이다. 그리드 어플리케이션 프로그래밍의 어려움을 덜기 위해 그리드 미들웨어들로부터의 복잡성에 투명성을 제공하는 것을 본 논문의 목표로 한다. 이는 RPC스타일의 프로그래밍 인터페이스를 지원하면서 파이썬 스크립트 언어의 이식성과 확장성을 통해 기존 병렬처리 어플리케이션의 그리드화와 다양한 자원 스케줄링을 연구 할 수 있도록 하는 스케줄링 프레임웍이 주요 기능적 요소이다. 병렬처리를 위해 비동기 SOAP과 이를 이용한 Task-Farming과 DAG기반의 스케줄링의 지원함으로써 고성능의 그리드 계산환경을 제공하고자 한다.

• 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.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.339-348
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• 2014

As future society will be strengthened by interdisciplinary study and education, we have to prepare general education curriculum which provide critical thinking, problem-solving, creativity, communication abilities. Those curriculum will help to nurture students who lead our future society. Now we prepare new curriculum to train students to understand the computer science and software needed to create their own, and we could cultivate students having ability to create interdisciplinary study by using programming skill. So we ran a computer programming class during a semester for the freshmen's capacity building on computing-thinking ability using the Python language. We analyzed the effectiveness and showed that student's curiosity and motivation to want to learn computer programming occurred, their various skills for interdisciplinary ability were improved.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.704-710
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• 2019

Programming learning has been recognized as a difficult subject for a long time. To solve these problems, various studies have been conducted. This study was conducted on motivation to break away from programming learning according to gender, one of the characteristics of learners. In this study, pre-post questionnaire surveys were conducted for male students and female students who were involved in scratch learning and Python learning. The results of the study showed that male students had higher confidence in programming learning than female students, but there was no significant difference in overall items. In addition, it was possible to find the difference in motivation to break out from the learning according to the major of students by gender. Through this study, it is expected that it will be helpful to prepare learning strategies to enhance learning motivation and satisfaction by considering learner characteristics in programming learning.