• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.213-222
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• 2020

Recently, as awareness of the need for software education has spread worldwide, the government of Korea has led compulsory software education also. Basic software education in universities has been stabilized through various trials and efforts. However, due to software classes are mandatory, students not only could not have motivation for learning but also have treated programming course as a difficult subject. In this paper, two programming classes, which were designed and managed as a problem-oriented programming class for the purpose of cultivating computational thinking for the non-computer science students, are compared using the lecture assessment results. As a result, in the case of expanding the use of the problem as a grammatical explanation aid and expanding the ratio of major-friendly problems, the student's responses were concentrated on higher scores and the response average improved by about 7%. It means that the level of difficulty experienced by learners is lowered.

• Smart Media Journal
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• v.12 no.7
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• pp.76-83
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• 2023

This study proposes a method to assist webtoon artists in the process of webtoon creation by utilizing a pretrained Text-to-Image model to generate webtoon images from text. The proposed approach involves fine-tuning a pretrained Stable Diffusion model using a webtoon dataset transformed into the desired webtoon style. The fine-tuning process, using LoRA technique, completes in a quick training time of approximately 4.5 hours with 30,000 steps. The generated images exhibit the representation of shapes and backgrounds based on the input text, resulting in the creation of webtoon-like images. Furthermore, the quantitative evaluation using the Inception score shows that the proposed method outperforms DCGAN-based Text-to-Image models. If webtoon artists adopt the proposed Text-to-Image model for webtoon creation, it is expected to significantly reduce the time required for the creative process.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.163-171
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• 2003

There are making epoch changes of a teaching method and educational contents as information communication technology (ICT) introduced to school education. The 7th curriculum induces that teaching hours should be assigned to education using ICT more than 10% of all classroom work hours. In this study, we established basic course of courseware design for applying ICT to physical education effectively in the 7th curriculum. We developed distance-learning program for motion of short-distance race and the entire his power race in middle school using Web. Flash and Database. And we evaluated efficiency by students that are 4 classrooms (140 persons) after teaching using the WBI. According to results of questions and a test, the students expressed that education using ICT make understanding of instruction substance effectively. concentrating their attention on teaching and concerning in teaching actively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.662-665
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• 2013

ITS(Intelligent Tutoring System) is a system that provides active and flexible tutoring conditions to learners, having adopted artificial intelligence to overcome the limitations of CAI(Computer Assisted Instruction). However, the existing ITS has a few problems; the system provides the same contents to every learner, not considering main variants of their learning and achievement, characters and levels, and therefore, it does not generate satisfactory results; the system does not offer a properly designed course schedule. Therefore, this thesis proposes ARS(Adaptive Recommendation System), founded on ITS, that provides contents designed based on the characters and levels of learners. To catch the characters of learners, the important variant for successful learning, ARS applies and embodies a module of self-assessment test. Also, it puts weighs according to the areas of learning which is different from the simplified assessment that asks for short and mechanical answers for the purpose of knowing the levels of the learners.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.275-282
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• 2024

This study studied a teaching model for software education using generative AI. The purpose of the study is to use ChatGPT as an instructor's assistant in programming classes for non-major students by using ChatGPT in software education. In addition, we designed ChatGPT to enable individual learning for learners and provide immediate feedback when students need it. The research method was conducted using ChatGPT as an assistant for non-computer majors taking a liberal arts Python class. In addition, we confirmed whether ChatGPT has the potential as an assistant in programming education for non-major students. Students actively used ChatGPT for writing assignments, correcting errors, writing coding, and acquiring knowledge, and confirmed various advantages, such as being able to focus on understanding the program rather than spending a lot of time resolving errors. We were able to see the potential for ChatGPT to increase students' learning efficiency, and we were able to see that more research is needed on its use in education. In the future, research will be conducted on the development, supplementation, and evaluation methods of educational models using ChatGPT.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.868-871
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• 2003

컴퓨터의 개발과 발달은 교육 환경상에 변화를 가져왔다. 초기 본인에게 부족한 부분을 보충 하는 자료를 이용할 수 있는 보조 교재 등의 형태로 나타났으며, 멀티미디어의 등장은 보충교재로의 질을 한 단계 증가시키는 계기를 마련하였다. 인터넷의 급속한 보급과 발달은 멀티미디어의 쉬운 접근과 다양한 형태를 획득할 수 있는 방법을 마련하여, 원격교육상에서 많은 활용이 가능하게 되었다. 하지만, 현재 인터넷을 이용한 평가의 경우 대부분 현재 학교에서 이루어지고 있는 평가와 유사한 단순한 텍스트와 간단한 그림등을 포함한 형태나 동영상등 멀티미디어와 문제는 별개인 형태로 행해지고 있다. 다양한 멀티미디어 자료를 활용하기 위해서 각 멀티미디어의 특성들과 문제의 특성을 고려해서 요소들 간에 동기화를 나타내기 위해서 SMIL을 확장한 방법을 이용하였다. 또한, 교수가 출제된 문제에 대해서 평가 등에 활용시에 현재 시스템들은 수정이 불가능하여 평가의 정확성을 떨어뜨리는 요인으로 작용한다. 본 논문에서는 교수와 문제의 상호작용을 통한 실시간 문제 수정기능과 과목별 특성을 고려한 멀티미디어 요소와 문제를 결합한 실시간 학습평가 시스템을 설계, 구현하였다.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.439 -447
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• 2023

This paper aims to develop a map for optimized class space using ZEP among the metaverse platforms. As a research method, the classroom space was organized so that the subject of learning became a learner, and the classroom space was modified and supplemented to optimize while being applied to elementary school computer classes. The contents of the study investigated learners' prior perception of metaverse, and compared and analyzed the advantages and disadvantages of the metaverse platform. In addition, the map was designed by reflecting the results of the survey, and after applying the map to the class, necessary APIs and apps were installed to supplement it. As a result, the learner became the subject of learning in the metaverse space, freely identified the space, and actively participated in the class. In particular, we found that students who were passive offline and those who had a low participation rate due to lack of skills participated more actively. In particular, students who were passive offline or whose participation was low due to lack of skills participated more actively. If API and JavaScript programs are added to collect log data of learners for learning analysis, real-time feedback is possible for learners, and learner feedback is possible for instructors with statistical data. If this is possible, the metaverse space can fully expect the role of a learning assistant for learners and a teaching assistant for instructors.

• The Journal of Korean Association of Computer Education
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• v.10 no.1
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• pp.55-66
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• 2007

To improve access to the learning opportunities of students with disabilities, this study is to identify the potential of the information communication technology in education for the disabilities and to suggest the policy reforms for the special education technology. To answer it, the related literatures of other developed countries and Korea were collected and analyzed by desirability and feasibility as criteria. From the view of the desirability, this study found that the policies of special education in Korea were still regarded as subsidiary and separated from the general students. Moreover, from the view of the feasibility, the law and financial support was relatively insufficient than other countries to implement the policy more effectively and stably. To solve these problems, this study suggests the policy reforms in Korea as five areas and seven tasks.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.185-186
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• 2024

본 논문에서는 CNN 알고리즘을 사용한 수학 문제 답지 추론 모델에 대한 소개를 다룬다. 현재의 학습 보조 서비스 중에서도 질문에 답하는 서비스들이 흔하지만, 수학 문제에 특화된 이미지 기반 답지 추론 서비스는 부족한 상황이다. 본 논문에서는 MathDataset 클래스를 활용하여 수학 문제 이미지와 정답을 연결하는 데이터셋을 생성하고, CNN 알고리즘을 사용하여 모델을 훈련하는 방법을 제시한다.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.639-653
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• 2019

The purpose of this study is to design an instructional framework and cognitive learning environment for AI education based on computational thinking in order to ground the theoretical rationale for AI education. Based on the literature review, the learning model is proposed to select the algorithms and problem-solving models through the abstraction process at the stage of data collection and discovery. Meanwhile, the instructional model of AI education through computational thinking is suggested to enhance the problem-solving ability using the AI by performing the processes of problem-solving and prediction based on the stages of automating and evaluating the selected algorithms. By analyzing the research related to the cognitive learning environment for AI education, the instructional framework was composed mainly of abstraction which is the core thinking process of computational thinking through the transition from the stage of the agency to modeling. The instructional framework of AI education and the process of constructing the cognitive learning environment presented in this study are characterized in that they are based on computational thinking, and those are expected to be the basis of further research for the instructional design of AI education.