• Educational Technology International
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• v.24 no.2
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• pp.203-236
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• 2023

The purpose of this study is to explore the structural relationship between COVID-19-induced sub-dimensions of Online Self-Regulated Learning (OSRL) and satisfaction in online courses conducted in the 'post-COVID-19 era,' as well as to investigate the moderating effects of situational variables such as 'course planning,' 'device type,' and 'course repetition.' To achieve this, the study constructs a measurement model with sub-dimensions of Environment Structuring, Learning Strategy, Help Seeking, and Self-Evaluation as components of OSRL. Participants in this study were selected from university students who enrolled in online courses offered by the Department of Education at University A in the metropolitan area. The research findings reveal several key insights. First, among the sub-dimensions of Online Self-Regulated Learning, Environment Structuring, Learning Strategy, and Self-Evaluation significantly influence satisfaction with online courses. Second, students' satisfaction with online courses significantly influences their intention to continue participating in such courses. Third, 'course planning' during online course hours and 'course repetition' play a moderating role in the relationship between sub-dimensions of Online Self-Regulated Learning and satisfaction. Based on the discussion of these research results, this study concludes by suggesting some future implications and challenges of online courses.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.300-305
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• 2023

Audience reactions in response to remote virtual performances must be compressed before being transmitted to the server. The server, which aggregates these data for group insights, requires a distribution code for the transfer. Recently, distributed learning algorithms such as federated learning have gained attention as alternatives that satisfy both the information security and efficiency requirements. In distributed learning, no individual user has access to complete information, and the objective is to achieve a learning effect similar to that achieved with the entire information. It is therefore important to distribute interdependent information among users and subsequently aggregate this information following training. In this paper, we present a new extension technique for minimal code that allows a new minimal code with a different length and Hamming weight to be generated through the product of any vector and a given minimal code. Thus, the proposed technique can generate minimal codes with previously unknown parameters. We also present a scenario wherein these combined methods can be applied.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.197-203
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• 2005

Interactivity is very important at ubiquitous e-Learning system oriented multi platform because online study is accomplished by multi media. In this thesis promotion for interactivity is designed at online study. By cyber education with supposed promotion used for a feedback. From now on a special research of study design should be made for interactivity and effectiveness using human sensibility ergonomics.

• Journal of information and communication convergence engineering
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• v.17 no.3
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• pp.213-220
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• 2019

This paper shows that novel engineering (NE) is a creative learning process (CLP) based on Seymour Papert's constructionism. First, the paper introduces NE, CLP, and constructionism. Next, a sample NE lesson is explored. NE is an innovative way of integrating literacy into an engineering discipline that was developed by the Center for Engineering Education and Outreach (CEEO) at Tufts University. NE consists of seven steps: picking a book, identifying problems, designing solutions, building, feedback, upgrading solutions, and reconstructing stories. Lifelong Kindergarten by Mitchel Resnick of the MIT Media Lab describes CLP, and the four elements necessary for a lesson to be creative. NE can be viewed as one of the most creative, comprehensive learning models ever developed. NE integrates several paradigms in Korea, following all the constructs of both CLP and constructionism. The aim of this paper is to show that NE is based on both CLP and constructionism.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.98-101
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• 2019

At present, deep convolutional neural networks have made a very important contribution in single-image super-resolution. Through the learning of the neural networks, the features of input images are transformed and combined to establish a nonlinear mapping of low-resolution images to high-resolution images. Some previous methods are difficult to train and take up a lot of memory. In this paper, we proposed a simple and compact deep recursive residual network learning the features for single image super resolution. Global residual learning and local residual learning are used to reduce the problems of training deep neural networks. And the recursive structure controls the number of parameters to save memory. Experimental results show that the proposed method improved image qualities that occur in previous methods.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1119-1130
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• 2019

With the wide spread of Social Network Services (SNS), fake news-which is a way of disguising false information as legitimate media-has become a big social issue. This paper proposes a deep learning architecture for detecting fake news that is written in Korean. Previous works proposed appropriate fake news detection models for English, but Korean has two issues that cannot apply existing models: Korean can be expressed in shorter sentences than English even with the same meaning; therefore, it is difficult to operate a deep neural network because of the feature scarcity for deep learning. Difficulty in semantic analysis due to morpheme ambiguity. We worked to resolve these issues by implementing a system using various convolutional neural network-based deep learning architectures and "Fasttext" which is a word-embedding model learned by syllable unit. After training and testing its implementation, we could achieve meaningful accuracy for classification of the body and context discrepancies, but the accuracy was low for classification of the headline and body discrepancies.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.156-166
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• 2020

In this paper, to improve spectral efficiency and mitigate interference in coordinated millimeter-wave systems, we proposes an optimal user group and beam selection scheme. The proposed scheme improves spectral efficiency by mitigating intra- and inter-cell interferences (ICI). By examining the effective channel capacity for all possible user combinations, user combinations and beams with minimized ICI can be selected. However, implementing this in a dense environment of cells and users requires highly complex computational abilities, which we have investigated applying multiclass classifiers based on machine learning. Compared with the conventional scheme, the numerical results show that our proposed scheme can achieve near-optimal performance, making it an attractive option for these systems.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.266-270
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• 2021

The article clarifies and divorces the concepts of distance learning systems "distance learning", "distance education", "distance technologies", "open education". The central concept of the DO system is "distance learning"; - an assessment of the use of distance technologies in the system of higher professional education in Ukraine was carried out, which showed that the dominant teaching technology at the moment is the technology of teaching using cases (case technology on paper and electronic media). It is determined that distance technologies based on the active use of technical teaching aids (network technologies, telecommunication technologies) find little use in the system of higher professional education in Ukraine.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.47-55
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• 2015

In e-learning industry which represents the convergence of IT and education, the standard of e-learning content development cost has been calculated according to the guideline or standard of existing similar industries without considering the characteristics of the industry until today. The absence of contents development cost standard related to e-learning has been recognized as one of the most difficulties in e-learning industry. The calculation of the content development cost without reflecting the characteristics of e-learning industry has bad effects such as the degradation of content quality and development of e-learning industry, and the growth obstruction of them. This paper suggest a standard of development cost for e-learning content development considering the characteristics of e-learning industry. We analyse current problems and the characteristics in e-learning industry, and define the development cost standard. We propose the methodology for developing e-learning industry and for contributing quality improvement of e-learning content.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.53-54
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• 2019

코딩 교육이 초등학생부터 의무화 되어 프로그래밍의 중요성이 날이 갈수록 높아지고 있고, 현재 전 세계 공용어인 영어는 필수라 할 수 있게 된 사회이다. 본 논문에서는 유아에게 코딩과 영어를 지루하고 어려운 것일 거라는 틀을 깨고 쉽게 접할 수 있도록 하는 STEAM 코딩 교육을 적용한 유아용 영어 학습 콘텐츠를 제안한다. 유아가 직접 방향 코딩을 하여 길을 찾아가는 과정에서의 창의력 발달과 목적지에 도착했을 때 해당 과일의 영단어를 확인하고 발음을 듣게 하여 언어능력발달에 도움이 될 것 수 있을 것으로 기대한다.