• Journal of Industrial Convergence
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• v.20 no.2
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• pp.51-59
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• 2022

In this paper, We analyze elementary school teachers' experiences of Novel Engineering classes with phenomenological qualitative research method. The purpose of this study is to find out why elementary school teachers were interested in Novel Engineering, to find out the pros and cons of the class and the possibility of convergence classes. At first elementary teachers who participated in the study conducted a theme-based ecological sensitivity classes with Novel Engineering in the second semester of 2021. Then we conducted interview with teacher's student observation and the teacher's reflection. As a result of interview analysis, 4 components and 13 sub-components were derived. The derived components are learning from mistakes, recognition of the importance of class research, creativity in the making process, and high integration of Novel Engineering and existing subjects. Based on these results, What this research suggests is the expansion of administrative and financial support for teachers' autonomous class research and convergence classes such as Novel Engineering.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.255-262
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• 2019

The informatics curriculum which was revised in 2015 presents the growth of creative and convergent talents as a main goal, and what is essential in the growth of creative and convergent talents is Computational Thinking(CT). In this study, in line with the goal of the growth of creative and convergent talents, the subject of IoT technology and liberal arts and natural sciences integration course was combined with the contents of informatics textbook, and the teaching-learning program was developed. In order to verify the effect of the developed teaching-learning program, the experimental research was conducted, and as a result of study, the mean of the experimental group was 10 points higher than that of the control group. Therefore, it could be known that there was an effect in the teaching-learning program suggested in this study. It is expected that the teaching-learning program suggested in this study can induce the learning motive and interest in SW education by directly implementing SW skill to the various fields of a real life through CT education based on Iot as well as a programing language, and improve convergent and scientific thinking through the experience of solving the problems which are blended with many subjects through liberal arts and natural sciences integration course, and designing them creatively.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.199-208
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• 2021

In this paper, the effect of artificial intelligence convergence education program that provides STEAM education using machine learning platform on elementary school students' STEAM literacy and learning flow was analyzed. A homogeneous group of 44 elementary school 6th graders was divided into an experimental group and a control group. The control group received 10 lessons of general subject convergence class, and the experimental group received 10 lessons of STEAM-based artificial intelligence convergence education using Machine learning for Kids. To develop the artificial intelligence convergence education program, the goals, achievement standards, and content elements of the 2015 revised curriculum to select subjects and class contents is analyzed. As a result of the STEAM literacy test and the learning flow test, there was a significant difference between the experimental group and the control group. In particular, it can be confirmed that the coding environment in which the artificial intelligence function is expanded has a positive effect on learners' learning flow and STEAM literacy. Among the sub-elements of convergence talent literacy, significant differences were found in the areas of personal competence such as convergence and creativity. Among the sub-elements of learning flow, significant differences were found in the areas such as harmony of challenge and ability, clear goals, focus on tasks, and self-purposed experiences. If further expanded research is conducted in the future, it will be a basic research for more effective education for the future.

• The Journal of Korean Association of Computer Education
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• v.21 no.6
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• pp.15-26
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• 2018

This study aims to examine whether software education has effects on improving creative competency. To this end, the study designed software education lessons to strengthen creative competency for 15 weeks and developed assessment tools. Based on the designed lessons, the 15-week lessons were provided for university students, including a pre-test in the first week and a post-test in the 15th week. The result showed that there was a significant difference in the effects of the lessons, with the mean value of creative competency 0.31 point higher and p-value of 0.002 in the post-test than in the pre-test. The sub-factors of creative competency, including flexibility, originality, openness, and creative implementing skills showed significant differences with p-value all lower than 0.05.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.578-583
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• 2010

This paper presents an automated visualization system, called StyleVisualizer, which checks the coding style of source codes and visualizes the coding style score using facial expression. Our system represents some kinds of facial expressions according to the evaluated score of the code style: A smile face means that the source code follows coding standards correctly. To measure the effectiveness of the StyleVisualizer, some experiments have been conducted on two class students in an applied computer course. In the experiments, we have compared the error ratio for obeying the coding standards when the StyleVisualizer was used or not. According to the experimental results, the error ratio with the StyleVisualizer was reduced above 30% than that without it. We expect that our system can encourage the students to obey the coding standards by providing the feedback of the visualized faces corresponding to their programs, resulting in high readable programs.

• Journal of Engineering Education Research
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• v.16 no.3
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• pp.3-9
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• 2013

It is very difficult for students to understand "Computer System Architecture" written by M. Morris Mano only through theoretical education. This study has developed DigCom as a computer architecture practice kit to make it easier for students to understand computer operations. The practice kit operates in the same manner as the "simple computer" described in Computer System Architecture. The purpose of this study is to examine whether using DigCom is effective in improving learning outcomes. For the purpose, t-test and two-way ANOVA were used to determine if there is any difference in learning outcomes between the experimental group of students who used DigCom and the control group who took the course in a traditional setting without using DigCom. The main conclusions of the study are as follows: Students understand computer operations better when DigCom is used in class.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.2
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• pp.47-52
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• 2011

Recently, in order to increase the effectiveness of engineering education, it is a trend to get out of teacher-centered, traditional pedagogical strategy which emphasizes knowledge delivery and to utilize diverse pedagogical strategies such as project-based learning, problem-based learning, and so on. Especially utilization of project-based learning(PBL) that is very effective to improve practical ability by doing projects which students can apply their knowledge learned in class has been increasing. By the way, although students work on one or more projects in your course, only the fact shouldn't say that you properly utilizes PBL. That is, many teachers make students perform projects in their courses, but only a few teachers properly utilize PBL. This paper presents PBL procedures, evaluation criteria on project subjects, an evaluation method of team project, an evaluation table of PBL accomplishment, etc. based on many years experience in PBL as a guideline for PBL in engineering education. Also, this paper proposes some complements for better PBL by analysing strength and weakness of PBL.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.6
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• pp.189-196
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• 2014

Though the plagiarism is illegal and should be avoided, it still occurs frequently. Particularly, the plagiarism of source codes is more frequently committed than others since it is much easier to copy them because of their digital nature. To prevent code plagiarism, there have been reported a variety of studies. However, previous studies for plagiarism detection techniques on source codes do not consider the data structures although a source code consists both of data structures and algorithms. In this paper, a plagiarism detection technique for source codes considering data structures is proposed. Specifically, the data structures of two source codes are represented as sets of trees and compared with each other using Hungarian Method. To show the usefulness of this technique, an experiment has been performed on 126 source codes submitted as homework results in an object-oriented programming course. When both the data structures and the algorithms of the source codes are considered, the precision and the F-measure score are improved 22.6% and 19.3%, respectively, than those of the case where only the algorithms are considered.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.673-681
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• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.255-264
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• 2020

In the database design course, the team project is a very important process to develop students' database design competencies. In order to carry out team projects smoothly, active interaction between students and the professor as well as collaboration among team members are very important. However, a full uncontacted class was suddenly decides in the first semester of 2020, it was questionable whether it would be possible to effectively manage this course, where team projects to construct database take up a big portion. However team projects were able to proceed without major problems through interaction using real-time video media such as zoom, and discussions, quizzes, and Q&A supported by the online education support system (LMS), and online presentations, mutual evaluations, and so on. This paper shares the experience of managing engineering team projects in uncontacted classes and based on three surveys introduces desirable improving directions of this instruction and some suggestions to improve uncontacted classes overall.