• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.1-12
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• 2006

This study is to investigate the 7th curriculum of computer education and its implementation by analyzing 1. computer H/W distribution status, 2. number of schools to select computer subject, 3. professional competency of computer teachers, 4. job loads for computer teachers, 5. instructional materials used for computer subjects, 5. problems of curriculum implementation, 7. confronting instructional problems. Data was collected from the survey to 191 teachers who are from teacher in-service programs in July, 2005, in-depth interview and national educational statistics. Suggestions for the curriculum revision were made.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.13-25
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• 2004

It has been increased the importance of computer education for the knowledge information society. However day by day. But computer education is currently operated with elective subjects in discretion action scope in a middle school. These operation of elective subjects brings a tended to neglect computer course, and inappropriate class number operated from this operation deteriorates reality and efficacy of computer education. Therefore, this paper compared and analyzed various operation methods of elective subjects that have been currently operated and grasped various problems to appear according to operation methods. When computer subject is operated using results from analyzing these problems, we find the most suitable way and provide sufficient references to operate computer subject in school education.

• Journal of the KSME
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• v.26 no.5
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• pp.398-404
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• 1986

열전달에는 많은 개념과 방법론이 포함되므로 그 범위에 있어서, 적어도 다른 어떤 열과학보다도 광범위하다. 이 제목의 첫 과목을 가르치는데 있어, 교수는 토픽의 내용, 수학의 정도, 컴퓨터 사용 및 실험 등에 있어 많은 선택에 직면하게 된다. 이 선택은 학생개발목표는 물론 기자재 및 시간제한 등에 기반을 두어 이루어져야 한다. 열전달 첫 과목의 주된 목적은 학생이 열시스템 설계와 성능에 관계되는 문제를 합리적으로 취급할 수 있도록 준비시키는 것이어야 한다. 따 라서 전달, 대류 및 복사의 기본원리와 열시스템 해석의 방법론에 중점을 두어야 한다.

• The Journal of Korean Association of Computer Education
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• v.13 no.3
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• pp.1-12
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• 2010

Commerce information high schools offer diverse computer related courses, and a number of different textbooks were published for each course. Since each corse covers broad area, the textbook has difficulties in keeping up with the rapid change. It is even more difficult to find textbooks that suit the needs and requirements of a school. Very frequently, chapters on application software cover software packages that are different from what school has in terms of producer or version. This kind of difficulties can be overcome by subdividing textbooks into lessons, and selecting lessons and textbooks for them that are most appropriate for each school. This paper proposes a way to subdivide computer textbooks into lessons, and discusses the advantages that come from it.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.51-62
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• 2005

In the aspect of the faculty, a course coordinator plays an significant role in managing the curriculum and counseling students on academic matters and fostering their progress in the course. However, the course coordinator cannot afford to advise students on which fields of their faculty fit them and which courses they have to take. This paper proposes a mobile course coordinator system to help students learn courses of their major fields deeply. Also the proposed system is implemented by using WIPI technology, so that it is platform-independent and it is able to assist the course coordinator who is counseling students. And the students with personal cellular phones are able to keep tracking their courses, and improve their knowledge about major subjects by taking courses which the system's inference engine will advise.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.9-15
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• 2023

Existing simple statistics-based recommendation systems rely solely on students' course enrollment history data, making it difficult to identify classes that match students' preferences. To address this issue, this study proposes a personalized major subject recommendation system based on deep reinforcement learning (DRL). This system gauges the similarity between students based on structured data, such as the student's department, grade level, and course history. Based on this information, it recommends the most suitable major subjects by comprehensively considering information about each available major subject and evaluations of the student's courses. We confirmed that this DRL-based recommendation system provides useful insights for university students while selecting their major subjects, and our simulation results indicate that it outperforms conventional statistics-based recommendation systems by approximately 20%. In light of these results, we propose a new system that offers personalized subject recommendations by incorporating students' course evaluations. This system is expected to assist students significantly in finding major subjects that align with their preferences and academic goals.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.13-20
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• 2020

The interest in artificial intelligence is due to an increase in influence on companies, organizations, daily lives and society. The purpose of this study is to analyze the key elements in the teaching subjects of artificial intelligence-related subjects of Korean universities based on the intelligent system area of Computer Science 2013 in terms of human resources development. According to the analysis, there are five out of nine universities that run the required courses. Based on the 12 detailed knowledge domains of intelligent systems, the compulsory subjects of universities are distributed in the field of basic search theory, basic knowledge expression and reasoning, and inference based on uncertainty. The elective courses of each university covered topics in five to eight areas of the total knowledge area of the intelligent system, with 69.9 percent of universities with the highest average ratio of areas involving the subject of teaching subjects and 46.3 percent of universities with the lowest. This study has implications for the fact that prior to entering an artificial intelligence graduate school, we were able to grasp the level of knowledge about artificial intelligence at the undergraduate level.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.255-265
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• 2022

We compared and analyzed the factors affecting the lecture evaluation of IT subjects, which are mandatory for all students of H University. The purpose of this study is to determine whether lecture satisfaction has a significant correlation with academic achievement, attendance rate, and categories of courses. In this study, we check whether the lecture satisfaction of IT liberal arts subjects that require a lot of computer-based practice differs from that of other liberal arts subjects. We used the 2,149 evaluation data of 12 lectures submitted by 2,322 students in the first and second semesters of year 2019 at University H. As for the lecture evaluation results, in addition to the evaluation scores of the multiple choice questions, the subjective questions were also quantified by classifying the statements submitted by the students into positive and negative types to make the results of the lecture evaluation objective. Our research results show that student group who have the higher attendance rates and academic achievements have higher level of lecture satisfaction and they also use more positive words than negative words in subjective evaluation questions. Students with the lower score use the more negative words, but the ratio between positive and negative words does not differ between groups. Higher attendance rates groups in the basic programming courses and software applications courses have higher lecture satisfaction ratio. But in the intermediate programming courses, the higher attendances rate and the lecture satisfaction do not have any significant relationship. Also students in the intermediate programming courses use more negative words than those in the basic programming courses.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.215-218
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• 2019

누구에게나 질 높은 강의를 무료로 수강할 기회를 제공하겠다는 MOOCs의 야심이 전통적인 교육방식에 변화를 불러일으키고 있다. 현재 대부분의 MOOCs 강의는 고등교육 수요자를 대상으로 하고 있지만 본 연구에서는 그동안 언급된 MOOCs의 장단점을 분석해서 고등학교에서 효과적으로 MOOCs를 활용할 방안을 탐구하였다. 그 결과, 전공 탐색의 기회와 학생부종합전형 활동자료로 활용하거나, 플립러닝 형태의 수업에서 강의자료로 활용하며 고교학점제의 시행에 따른 학생 선택 과목 확대에 대비하는 방안을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.385-386
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• 2023

2022 개정 교육과정에서 정보과 융합 선택 과목인 소프트웨어와 생활이 신설되었다. 교과의 '가치를 창출하는 소프트웨어' 단원은 소프트웨어 스타트업의 프로젝트 수행 과정에 대한 이해를 바탕으로 소프트웨어 구현능력을 성취 기준으로 제시하고 있다. 그러나, 고등학생 대상 소프트웨어 스타트업 교육 방법에 대한 국내연구가 거의 없어 교과용 도서 개발에 어려움을 주고 있다. 이에 본 연구에서는 2022 개정 교육과정과 소프트웨어 스타트업 교육에 대한 국외 연구를 분석하여 고등학생 대상 소프트웨어 스타트업 교육의 방향을 제시하였다. 본 연구에서 제시된 내용은 소프트웨어와 생활 교과용 도서를 개발하는 데 도움이 될 것으로 기대된다.