• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.165-176
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• 2016

This study developed the learning ability-based smart education program. The effectiveness of the developed materials was investigated using the quantitative-qualitative mixed method, and the process and results of the investigation are as follows. The quantitative investigation was conducted using the non-equivalent pretest-posttest design, in which the smart education method was applied to the experimental group, while the conventional education method was applied to the control group to analyze students' creative problem-solving potential, task concentration, and the variables required for the learning activity. The results showed significantly higher performance in the experimental group over the control group. Regarding data collection in the qualitative investigation, an analysis of the class from the instructor and class consultation logs from the class analyst were collected; the comments on the experience of each class period were collected from students. The results of the analysis of the data suggest that the perception of smart education improved for the instructor, class analyst, and learners as the course progressed.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.297-307
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• 2022

The simple procedural segment selection algorithm commonly used in Dynamic Adaptive Streaming over HTTP (DASH) reveals severe weakness to provide high-quality streaming services in the integrated mobile networks of various wired and wireless links. A major issue could be how to properly cope with dynamically changing underlying network conditions. The key to meet it should be to make the segment selection algorithm much more adaptive to fluctuation of network traffics. This paper presents a system architecture that replaces the existing procedural segment selection algorithm with a deep reinforcement learning algorithm based on the Asynchronous Advantage Actor-Critic (A3C). The distributed A3C-based deep learning server is designed and implemented to allow multiple clients in different network conditions to stream videos simultaneously, collect learning data quickly, and learn asynchronously, resulting in greatly improved learning speed as the number of video clients increases. The performance analysis shows that the proposed algorithm outperforms both the conventional DASH algorithm and the Deep Q-Network algorithm in terms of the user's quality of experience and the speed of deep learning.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.63
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• pp.79-87
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• 2001

To make cyber universities competitive, the level of the learning effect for students should be improved. The objective of this study is to analyse the factors influencing the learning effect of cyber universities. For this purpose, questionnaire survey has been used. For the statistical analysis, multivariate linear regression were utilized using the SAS program. According to the results in this study, the variables that influence toward the learning effect are the experience of computer, the systematic and comprehensive lecture note, and the quickly responses to questions. These variables can be utilized in improving the educational service quality of cyber universities.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.129-134
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• 2021

Since the first semester of 2020, domestic and overseas universities mostly provided untact online classes and limitedly provided face-to-face classes due to COVID-19 in operating courses. The convergence subjects provided in undergraduate courses attach importance to contents-centered, design-based, hands-on education, and field experience. In the situation where online education was not revitalized, instructors in charge of convergence subjects had difficulty in developing online class materials, and students' satisfaction with the classes was not high. Especially, a problem was raised that students taking the convergence subjects that included practice had difficulty in communicating with the instructors. We would investigate the present condition of distance learning in domestic universities, which came suddenly due to the global pandemic of infectious disease and make suggestions for effective distance learning in the coming era of Metaverse by emphasizing the interaction and communication between instructors and learners through an analysis of distance learning of a convergence subject.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.90-99
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• 2023

This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

• School Mathematics
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• v.2 no.1
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• pp.165-181
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• 2000

The teaching-learning methods of figures using computers make loose the difficulties of geometry education from the viewpoint that the abstract figures can be visualized and that by means of this visualization the learning can be accomplished through the direct experience or control. In this thesis, we present a teaching-learning method of figures using Cabri II so that the learners establish their knowledge obtained through their search, investigation, supposition and they accomplish the positive transition to advanced 1earning. So the learners extend their ability of sensuous intuition to their ability of logical reasoning through their logical intuition.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.47-51
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• 2022

The purpose of this study is to investigate the views on utilizing ICT material, especially the reasons for ICT material choice. Numerous recent studies have demonstrated increased use of electronic devices including smartphones in educational settings. But the reasons for using it as a learning tool have not been relatively researched from the point of view of pre-service teachers. Therefore, this study analyzed the pre-service teachers' thinking about utilizing ICT material and their learning experience. In that regard, data was collected in various ways such as surveys, interviews, and brief writings of participants. According to the study result, pre-service teachers were motivated in utilizing ICT material rather than text material. That is the reason why, as adult learners, especially pre-service teachers could be more motivated in self-directed learning environments. This study will be useful in considering ideas for the instructional design of pre-service teachers.

• The Journal of Information Systems
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• v.15 no.3
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• pp.35-53
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• 2006

Distance teaming systems have become popular tools for teaching and learning. The purpose of this study is to analyze influence of instructor factors and media richness on student's intention th use and performance in distance teaming. We used TAM as a theoretical foundation to explain student's behavior. The model was tested using LISREL analysis on the sample of 246 users rho have experience with the distance teaming systems. The results show that instructor factors such as luぉ style and attitude have partial effects on perceived usefulness, ease of use and media richness. In addition, results also show that both TAM variables and media richness strongly predict intention In use of the distance loaming system Finally, the usage intention has a positive effect on teaming performance. Implications of these findings are discussed for researchers and practitioners.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.1
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• pp.1-22
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• 1997

Learning control refers to controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented a theory of indirect decentralized learning control based on use of indirect adaptive control concepts employing simultaneous identification and control. This paper extends these results to apply to the indirect repetitive control problem in which a periodic (i.e., repetitive) command is given to a control system. Decentralized indirect repetitive control algorithms are presented that have guaranteed convergence to zero tracking error under very general conditions. The original motivation of the repetitive control and learning control fields was learning in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the desired trajectory. Decentralized repetitive control is natural for this application because the feedback control for link rotations is normally implemented in a decentralized manner, treating each link as if it is independent of the other links.

• International Journal of Contents
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• v.15 no.1
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• pp.58-63
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• 2019

The objective of this study was to explore a specific method and strategy for 'Global Leadership Program Model' in order to enhance global leadership, which will emphasize the aspect of open mind and attitude toward diversity, cross-culture, communication, and global manner. This research explored the concept and characteristics of global leadership and competency based education, and analyzed effectiveness of satisfaction and participation on global leadership programs implemented in K University and analyzed the learners' recognition on the experience. Also, the research integrated the values of global leadership with the strategies of competency-based education, and finally developed 'Global Leadership Program Model'. As a result, 'Global Leadership Program Model' might be able to help students use knowledge and skill in various contexts, and serve in the community with responsibility. It is expected that students could be facilitated to perform task and role communicating with others, and they might know exactly what learning outcome they are required to establish and what standard is used to evaluate the performance, so that this environment might motivate them and encourage them to follow the learning process more effectively.