• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.193-198
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• 2023

This paper analyzed the validity of exercise problems for each unit in Python programming education. Practice questions presented for each unit are presented through an online learning system, and each student uploads an answer code and is automatically graded. Data such as students' mid-term exam scores, final exam scores, and practice questions scores for each unit are collected through Python lecture that lasts for one semester. Through the collected data, it is possible to improve the exercise problems for each unit by analyzing the validity of the automatic scoring exercise problems. In this paper, Orange machine learning tool was used to analyze the validity of automatic scoring exercises. The data collected in the Python subject are analyzed and compared comprehensively by total, top, and bottom groups. From the prediction accuracy of the machine learning model that predicts the student's final grade from the Python unit-by-unit practice problem scores, the validity of the automatic scoring exercises for each unit was analyzed.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.304-309
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• 2017

Programmers use multiple languages to reuse legacy code best suited to their problems. However, it is quite challenging to develop error-free multilingual programs because new types of bugs occur since misunderstanding about language interfaces such as Java Native Interface (JNI) and Python/C. There is a considerable amount of research to overcome multilingual program bugs and errors but these researches have less consideration about substantiality of programming languages, language interfaces, and bugs to evaluate their analyses and tools. In this paper, we have identified and establish substantiality of multilingual programming research with empirical study about diversity and interoperability of programming languages in Ubuntu software ecosystem based on real-world statistical data.

• 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 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).

• East Asian mathematical journal
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• v.38 no.4
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• pp.463-496
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• 2022

The purpose of this study is to analyze the mathematical creativity and computational thinking of mathematically gifted elementary students through a convergence class using programming and to identify what it means to provide the convergence class using Python for the mathematical creativity and computational thinking of mathematically gifted elementary students. To this end, the content of the nine sessions of the Python-applied convergence programs were developed, exploratory and heuristic case study was conducted to observe and analyze the mathematical creativity and computational thinking of mathematically gifted elementary students. The subject of this study was a single group of sixteen students from the mathematics and science gifted class, and the content of the nine sessions of the Python convergence class was recorded on their tablets. Additional data was collected through audio recording, observation. In fact, in order to solve a given problem creatively, students not only naturally organized and formalized existing mathematical concepts, mathematical symbols, and programming instructions, but also showed divergent thinking to solve problems flexibly from various perspectives. In addition, students experienced abstraction, iterative thinking, and critical thinking through activities to remove unnecessary elements, extract key elements, analyze mathematical concepts, and decompose problems into small components, and math gifted students showed a sense of achievement and challenge.

• International Journal of Concrete Structures and Materials
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• v.7 no.2
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• pp.127-133
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• 2013

After reviewing the background and motivations for using modern computational methods for the design of reinforced concrete structures, an algorithm making use of the object oriented programming language Python and professionally developed finite element software is presented for the sizing and placement of the reinforcement in RC structures. The developed method is then used to design the reinforcement of a deep beam. To validate the design, two identical deep beam specimens were manufactured with the obtained steel, and then tested in the laboratory. It was found that the experimental results corroborated those predicted with the finite element design method.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.151-157
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• 2024

Most of the existing game-based education programmes for lower grades are simple block-coding studies, and there is a lack of examples of programming-intensive classes. In this study, we implemented a Minecraft-based Python coding fundamentals class for 3 classes at a local elementary school during a 2-week school holiday. The learning programme was reorganised from the standard learning programme on the official website, such as building quests through LAN-PARTY and self-scripting in-game, to improve class interest and motivation. In addition, we analysed the satisfaction and preferences of the class topics through a survey, and obtained meaningful results for future educational program development. This study is significant as a basic research for the design and development of game-based educational programmes for all age groups.

• 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.