• The Journal of Korean Association of Computer Education
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• v.23 no.4
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• pp.35-47
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• 2020

The purpose of this study is to provide a guideline for the programming beginners, including SW non-majors, to reduce the difficulty of establishing procedures for solving problems and to refine the work process properly in a computing environment. To accomplish this, we derive the unfolding types of typical procedures that can unfold the working procedures typically implied in daily operation in terms of recognition(input)-judgment(processing)-behavior(output). Through learning to unfold the procedure for each type, it was confirmed that the learner define the scope and rules of the problem himself and extended the procedure implied in any action. The unfolding model of the procedure developed in this study can be used as a tool for constructing a procedure operable in a computing environment to solve problems in the early stages of programming learning for non-majors or beginners.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.231-239
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• 2022

In this paper, I analyze the difficulties of web service development education for non-IT majors through the Q&A of students posted in the k-mooc lecture, and propose methods to improve them. Through Q&A analysis, it was confirmed that non-majors mainly had difficulties in using unfamiliar tools, cost of cloud service, setting up server environment, and writing code while taking web service development courses. To solve this problem, I propose a method to reduce the server cost problem and the complexity of the server environment by using BaaS(Backend as a Service), which is one of the cloud service models. It also shows that it is possible to reduce the length of code that needs to be written at once by using the React library to modularize long code into smaller units. Finally, I propose an improvement plan that even non-IT majors can easily learn by implementing a web application that works by using the design output obtained by using Figma.

• 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.

• Journal of Advanced Information Technology and Convergence
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• v.9 no.1
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• pp.67-76
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• 2019

Recently, with the advent of the software-based society, many organizations have been providing software developing education, such as coding, to Computer Science majors and non-Computer Science majors. When implementing a program, teachers can let students draw a variety of diagrams, such as flowcharts, UML diagrams, and ERD diagrams ahead. As the importance of computational thinking is increasingly emphasized, abstracting algorithms into diagrams is considered an important educational element. In this paper, we examined the visual literacy and abstract/concrete way of thinking of novice programmers in order to analyze factors affecting the abstraction process of drawing diagrams, and how they influence students' ability to understand diagrams and ability to draw. If we understand what factors influence the abstraction process in this study, we can suggest educational alternatives for future strategies in which teachers will teach students.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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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.

• Journal of Creative Information Culture
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• v.7 no.2
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• pp.69-77
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• 2021

In the past, computer programming was a course taken by students of computing domain majors. With the advent of the fourth industrial revolution, students in all major fields are taking it as the general required course. However, students have difficulties in learning new subject such as unfamiliar computational problem solving approach and general purposed programming language, which can lead to negative phenomena such as learning effectiveness, confidence, and decreased interest. In this paper, the causes of difficulties experienced by non-majors students while learning programming language are analyzed and identified through qualitative and quantitative research on questionnaires, journals, and achievements. Thus, we suggest that designing an educational plan that minimizes difficulties.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.41-51
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• 2020

The goal of this study is to test the hypothesis that the practicality of EXCEL VBA will be beneficial for SW education for SW non-majors. To this end, we planned the education for non-majors using the EXCEL VBA and conducted 15 weeks of education. According to a follow-up survey conducted after the 15-week education period, 72.21% of the survey respondents said EXCEL was practical. Also, learners who were aware of the necessity of SW education and the importance of SW competence recognized that the computational thinking education using EXCEL VBA had a positive effect on the improvement of computer-related knowledge and experience. Also, learners recognized that learning with EXCEL was easy, while learning with VBA was difficult. The learning process using VBA needs to be composed of project-oriented educational contents that can give a sense of achievement to learners rather than programming-oriented education. And continuous research on project-based learning is needed.

• Journal of the Ergonomics Society of Korea
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• v.32 no.5
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• pp.421-427
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• 2013

Objective: This paper is to analyze the impact of musical training to the fast ${\alpha}$ wave activation of the EEG. Background: EEG is neurological research method that can observe the brain function in real time. EEG can be used to determine the nervousness and relaxedness of a person who receives stimuli in a structured environment. Therefore, it is possible to interpret the functional state of human brain by the analysis of EEG. Method: The brain activities of two groups of university students in the point of RFA(Relative Fast Alpha) caused by different music are analyzed in this paper. One is the group of music majors and the other is the group of non-majors. Results: Music major and non-major groups show meaningful differences in RFA during exposed to classic and metal music. Conclusion: Learning experience on music affects RFA increment of music majors. Application: The result of this study will be used as basic data to evaluate the learning effects of students who want to study music.

• Journal of Multimedia Information System
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• v.8 no.3
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• pp.191-196
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• 2021

Computational thinking refers to the process and method of solving everyday problems using computers. When teaching a computational thinking class for computer majors and non-majors at university, the easiest example to deliver the concept of computational thinking is sorting. Sorting is the concept of arranging given data in order. In this work, we have implemented four visualized sorting algorithms that anyone can easily use. In particular, it helps to understand the difference between the algorithms by showing the number of comparisons and exchanges between elements, which are the criteria for evaluating the performance of the sorting algorithm in real time. It was confirmed that the practice of using the sorting visualization app developed in this research contributed to the improvement of students' understanding of computational thinking.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.631-638
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• 2017

In the age of the Fourth Industrial Revolution, lifestyle and industrial structures are faced with evolution from IT-based automation to the intelligent stage, demanding talents with software capabilities in various fields. Reflecting these demands, the government has enhanced basic software education for non-majors in elementary and secondary schools as well as universities. In this study, the software convergence education of Non-Majors is proposed to improve the general problem solving ability based on computational thinking and the software convergence ability in the field of their own by developing robot activity. The subjects of this study were 91 students, who were composed of various majors. The class was designed with computing thinking, convergence elements, and creative robot activity. The study was conducted for 13 weeks. To examine the effects of software convergence education through the creative robot activity, this study observed changes in the students' learning outcomes, satisfaction with creative robot activities, and perceptions of other disciplines after class based on pre-diagnosis surveys. The survey asked 12 questions including an understanding of the learning contents, overall satisfaction with multidisciplinary collaborative learning, understanding of other disciplines, and self-evaluation of problem solving ability through creative robot activities, which were compared with that before the class. They answered that their ability was improved.