• Review of Korea Contents Association
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• v.1 no.2
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• pp.22-35
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• 2003

최근 컴퓨터와 인터넷의 급속한 보급으로 인해 물리적 시공간의 한계를 뛰어 넘어 언제, 어디서나 자신에게 필요한 학습활동을 할 수 있는 기반이 조성되면서 e-러닝(e-Learning)에 대한 관심이 커지고 있다. e-러닝은 '학습 선택권의 확장'과 '학습 기회의 확대'를 통해 궁극적으로 언제(anytime), 어디서(anywhere), 누구나(anyone) 학습할 수 있는 '열린 학습'을 지향하며 기존 교육 패턴과는 전혀 다른 새로운 패러다임을 요구하고 있다[1. 즉, e-러닝의 성패는 '기존 방식과는 다른 방식으로 교육을 설계할 수 있느냐?'와 '학습자들의 학습 습관이 어느 정도 변화했느냐?'에 따라 달라진다. 또한 기업에서는 e-러닝을 조직의 비즈니스 전략과 유기적으로 연동시키는 전략이 성패의 갈림길이다 할 수 있다. (중략)

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.183-191
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• 2020

Many learners are encountering e-Learning contents with smart devices and contents provides are carefully observing learners' reuse intention and behavior. Therefore, this study investigated the effect of e-Learning content platform characteristics on reuse intention for 200 users with smartphone-based e-Learning experience. The results show that the characteristics affecting reuse intention are content quality, interactivity, and ubiquity. Moreover, for men, only interactivity affects reuse intention, and for women, ubiquity and content quality affect reuse intention. When using smartphone-based e-Learning for less than an hour a day, only content quality affects reuse intention. On the contrary, ubiquity, convenience, and interactivity influence reuse intention when learning for more than one hour. Our results suggest meaningful implications that how e-Learning companies change their smartphone-based platform business strategy and how they utilize its key factors.

• The Journal of Korean Association of Computer Education
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• v.23 no.3
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• pp.59-64
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• 2020

This study conducted a 15-week experiment on 236 students who took a major in engineering to find out the impact of learning through flipped learning on their academic performance. Previous flipped learning studies have largely been tested on learning motivation or learning satisfaction through questionnaires, and few have compared academic performance differences. Therefore, it is necessary to identify the increase and decrease in academic performance in the flipped learning classroom. Studies have shown significant differences that is a big difference between the academic performance of the experimental group appling flipped learning and the control group appling traditional lecture-style classes, and the academic performance of the experimental group was higher than that of the control group. This can be said to have a positive effect on academic performance. Therefore, it is hoped that the flip learning method will be expanded in all curriculums.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.890-892
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• 2014

최근 스마트기기가 널리 보급되고 소셜네트워크 서비스가 확산되면서, 스마트 기기 및 소셜미디어를 활용함으로서 학습에서 상호작용을 극대화한 교육환경으로 스마트러닝이 크게 부각되고 있다. 그리고 스마트러닝 콘텐츠 및 환경의 확산으로 PC 위주에서 스마트폰 등으로 이러닝 콘텐츠의 사용환경이 확장됨에 따라 콘텐츠 저작의 경제성과 효율성 등을 고려하게 되었으며, 하나의 콘텐츠를 다양한 환경에서 활용 가능하도록 하고 있다. 그러나 기존 PC기반의 콘텐츠를 스마트기기에 적용함에 있어 여러 가지 문제가 발생하는데 이 문제들을 해결하는 방안으로 먼저 콘텐츠에 대한 표준화가 중요한 요소로 작용한다. 따라서 본 논문에서는 전자책 표준화를 활용한 효율적인 스마트러닝 기법을 제시하고자 한다.

• The Journal of Korean Association of Computer Education
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• v.13 no.4
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• pp.51-59
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• 2010

Many of learners in cyber universities have experienced the difficulties of learning and participation because they have never participated courses of cyber universities before. One of main reasons why they have experienced the difficulties was that they might have not received systematic guidances of university system as well as learning supports, depending on their readiness of e-learning. Otherwise, they may have lack of supports frequently and finally, fail to graduate. However, few studies were conducted to investigate the e-learning readiness of freshmen and enrollees in cyber universities. The purpose of the study was to analyze the e-learning readiness and learning activities of freshmen and enrollees of A cyber university and to support them more systematically and get them to succeed in studying. In the results, there were no differences between the freshmen and enrollees in basic competencies of cyber learning as well as interaction, task performance, and learning methods.

• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.91-109
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• 2011

This study describes the design and development of personalized e-Tutor to facilitate e-Learning. An e-Tutor was developed to provide personalized cognitive, emotional, and social learning supports automatically and integrated into an e-learning system. Fourteen learning supports selected in this study were consisted of eight cognitive, three emotional, and three social factors respectively. Participants were 202 adult learners in corporate training environments. The result indicated that e-Tutor was perceived useful in general. Amongst three, cognitive support was perceived as the most useful. Emotional and social supports of encouraging learners and facilitating interactions among learners were also reported useful to facilitate the desired learning outcomes.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.362-365
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• 2020

PowerShell은 닷넷 프레임 워크에 기반을 둔, 커맨드 라인 인터페이스 및 스크립트 언어의 특징을 가진 Microsoft의 명령어 인터프리터로, 이를 내장한 Windows 운영체제 점유율의 증가와 강력한 기능으로 PowerShell을 이용한 공격은 계속 증가하고 있다. 이연구에서는 딥러닝을 사용하여 악성코드를 효과적으로 탐지하는 방법과, 이에 필요한 시퀀스 데이터 추출의 방법을 찾아내는 것에 목적이 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.11-12
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• 2021

소비자가 남긴 댓글이나 상품평은 상품기획의 주요 정보가 될 수 있다. 본 논문에서는 버티컬 무소음 마우스 7,300개에 대한 온라인 댓글을 딥러닝 기술인 Word2Vec을 이용하여 유사도 분석을 시행하였다. 유사도 분석결과 클릭 키워드에 대한 장점으로 소리(.975), 버튼(.972), 무게(.971)가 분석되었으며 단점은 가볍다(.959)이었다. 이는 구매 상품에 대한 소비자의 의견, 태도, 성향 및 서비스에 대한 포괄적인 의견들을 데이터화 하여 상품의 특징을 분석할 수 있는 의미있는 과정 이라고 볼 수 있다. 상품기획 프로세스에 딥러닝 기술을 통한 소비자의 감성분석자료 포함시키는 전략을 적용한다면 상품기획의 시간과 비용투자의 경제성을 높일 수 있고 나아가 빠르게 변화하는 소비자의 요구사항을 적기에 반영할 수 있을 것으로 생각된다.

• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.121-128
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• 2006

This study suggested the new e-learning systems based on agent to provide an adaptable learning. In Semantic Web environment, to develop an ontology and an intelligent agent is essential for an adaptable e-learning systems. Especially, to develop a reasoning engine using analysis of learning content and learners' information can offer an effective e-learning system. Therefore, we developed an applying model to an adaptable e-learning systems and the various ontologies for Semantic Web environment. Moreover, we analyzed and developed ontologies within the framework of learning domain, a learner and interface. Further, we implemented an intelligent e-learning for applying an agent's reasoning. Through this system proposed, we suggested the new e-learning systems model for Semantic Web environment.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.11-20
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• 2024

This study presents TabNet, a novel deep learning method, to enhance corporate credit rating accuracy amidst growing financial market uncertainties due to technological advancements. By analyzing data from major Korean stock markets, the research constructs a credit rating prediction model using TabNet. Comparing it with traditional machine learning, TabNet proves superior, achieving a Precision of 0.884 and an F1 score of 0.895. It notably reduces misclassification of high-risk companies as low-risk, emphasizing its potential as a vital tool for financial institutions in credit risk management and decision-making.