• Knowledge Management Research
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• v.10 no.1
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• pp.17-32
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• 2009

Cyber University has been continuously increased since it is of great necessity of education through lifelong study. Recently, the management of cyber universities does not ensure education success, because some problems are coming out. Now we are to take an interest in qualitative level of e-learning. The purpose of this study is to classify and investigate interaction factors of e-learning, which were one of the restrictions to develop e-learning, influence learning flow and satisfaction. The authors discuss the implications of the findings for interaction and learning flow theory and practice.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.1
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• pp.49-55
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• 2004

E-Learning standard SCORM has been prepared in the United States to establish the efficient operation and development of e-Learning. The learning object of the current SCORM focuses on easy development and reusability in the professor's side. In this study instead, we present a SCC (Sharable Content Collection) scheme which can provide various studying opportunities to the learners. Constructing an efficient SCC requires improving the SCO (Sharable Content Object), a key ingredient of SCORM, and analyzing the cyber lecture into components. In this way we suggest a method to improve the existing learning objects and present an e-Learning model based on SCC.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.109-123
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• 2024

The purpose of this study is to identify strategic insights for cyber universities to secure a competitive advantage based on market analysis grounded in customer needs and motivations. As a research method, we surveyed and analyzed college students using conjoint analysis, identified the importance of cyber university components, estimated the utility of each detailed level, and identified the configuration of cyber universities most preferred by potential customers. In the study results, the importance of attributes that appeared by analyzing all respondents was in the order of 'expected ourcoms after graduation', 'department characteristic', 'cyber university name', and 'learning management style'. Cluster analysis was performed, divided into two groups, and conjoint analysis was performed. For Cluster 1, the importance values of the components were 'expected outcomes after graduation,' 'learning management style,' 'cyber university name,' and 'department characteristics,' in that order. For Cluster 2, the importance values were 'expected outcomes after graduation,' 'department characteristics,' 'cyber university name,' and 'learning management style,' in that order. As an application of the research, As an application of the study, it is suggested that analyzing the preferences of potential customers in the entire group is not accurate; therefore, segmenting the groups for analysis and strategy formulation can be useful.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.451-460
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• 2010

The purpose of this paper is to present the effective operation method of cyber home learning system 2.0. Cyber home learning system 2.0 which plays an important role to produce and share data of internet users establishing user-centered internet environment is recently introduced as web 2.0 is beginning to appear. This research is based on the case of the operation on cyber home learning system, research literature of web 2.0 as well as expert consulting and performance test. After doing this research, cyber home learning system 2.0 can bring enormous educational effect when it has online education using web-based discussion tool and long distance consulting linking with off line school education. Redundant system configuration, the distributed processing also may be provided by the service was smooth. Moreover, it demands monitoring team consisting of student, parents and teacher in order to provide developmental service.

• The Journal of Korean Association of Computer Education
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• v.10 no.4
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• pp.61-71
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• 2007

The Lifelong Learning City Project whose aim is to encourage regional innovation and development by the Ministry of Education & HRD. As of in 2006, there are 57 Lifelong Learning Cities which are providing its citizens with various lifelong learning programs since the project got started in 2001. The Lifelong Learning City Project has been increasing across the nation since it has been regarded as a key strategy for the sustainable reg ional development. Accordingly, there has been a lot of discussion on how to develop the project qualitatively as well as quantitatively. In this context, this study aims to draw policy implications of the Cyber Network System for the lifelong learning cities. With this context, this paper suggests to set up the Cyber Network System as the developmental strategy of learning cities and intends to search how to structure the Cyber network System. For this purpose, we survey the learners' needs and suggest the directions for the further Cyber network System of the Learning Cities.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.272-276
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• 2021

Presently, Online / Offline Users are facing cyber attacks every day. These cyber attacks affect user's performance, resources and various daily activities. Due to this critical situation, attention must be given to prevent such users through cyber attacks. The objective of this research paper is to improve the IDS systems by using machine learning approach to develop a hybrid model which controls the cyber attacks. This Hybrid model uses the available KDD 1999 intrusion detection dataset. In first step, Hybrid Model performs feature optimization by reducing the unimportant features of the dataset through decision tree, support vector machine, genetic algorithm, particle swarm optimization and principal component analysis techniques. In second step, Hybrid Model will find out the minimum number of features to point out accurate detection of cyber attacks. This hybrid model was developed by using machine learning algorithms like PSO, GA and ELM, which trained the system with available data to perform the predictions. The Hybrid Model had an accuracy of 99.94%, which states that it may be highly useful to prevent the users from cyber attacks.

• 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 advanced smart convergence
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• v.10 no.4
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• pp.165-171
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• 2021

The current study investigated cyber learners' use and perceptions of online machine translation (MT) tools. The results show that learners use several MT tools frequently and extensively for various second language learning (L2) purposes according to their needs. The learners' overall perceptions of using MT for English learning were generally positive. The learners reported several advantages of machine translation: ease of use, helpful feedback, effective revision, and facilitation of self-directed learning. At the same time, a considerable number of learners were aware of MT's drawbacks, such as awkward sentences, inaccurate grammar, and inappropriate words, and thus held a negative or skeptical view on the quality and accuracy of MT. These findings have important pedagogical implications for using MT in the context of a cyber university. For successful integration of MT in English classes, teachers need to provide appropriate guidelines and training that will help learners use MT effectively.

• Journal of the Korea Computer Industry Society
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• v.7 no.1
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• pp.23-32
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• 2006

The cyber lecture, which uses the computer system and its networking, has the benefit of learning anytime and anywhere and quick feedback with positive learning system. Now the research on the cyber lecture is actively performed. But most of researches focus on the problems of operational status of cyber colleges, example study and activation study. So there aren't many researches that reflect the requirements of students who are the main force of the learning system. This research asked 145 students from 20 colleges about the cyber lectures and analyzed their requirements. Then it applied then to the cyber lectures and studied its effect. <중략> It removed the factors of these complaints and established a way of improvement to apply it to a new cyber lecture. Then it found the total average for the learning achievement improved by 17.3. It showed high learning achievement. The result of the achievement shows that the teaching design is necessary with the viewpoint of the students as well as the viewpoint of the teachers.

• Journal of the Korean Home Economics Association
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• v.45 no.3
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• pp.87-96
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• 2007

In order to efficiently improve teaching and learning methods of the department of Early Childhood Education in cyber universities, this research analysed and assessed the problems of the current situation of lectures of the department of early childhood education. Firstly, this research examined the characteristics of cyber-education and the lecturer's role in it. Secondly, the types and status of management of online-lectures were investigated. Finally, the student management and the variety of interaction taking place online were examined. The plan to vitalize the cyber-education of early childhood education that was suggested in this study was mainly focused on developing excellent educational contents and continual research of cyber-education's method of teaching and learning. Then for the activation of online interaction, technological support and teaching strategies are needed to activate online interaction.