• Journal of Korea Society of Industrial Information Systems
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• v.8 no.3
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• pp.42-50
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• 2003

E-Learning is a modern main teaching method starting from the concept of remote education. This research is aimed for proposing cyber lecture library system and designing a cyber lecture component that becomes a basis for e-Learning system Cyber lecture library is a storage system of cyber lectures that can supply high quality data to the needed developers. Component consists of 5 categories and those are text voice, image, animation, and flash. By using this system the developers can save the necessary time and effort in education development. This system also helps students. The students can access various lecture data on a given subject and select the best fit for them.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.243-251
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• 2008

The cyber classes of an e-Learning system have been considered as one of the important form of education. Especially. some of non-major(liberal arts and science) and major subjects are held in cyber classes. However, there is no or little study of effectiveness and function for the students' position. In this study, we analyzed log files in the e-learning system. and classified login and learning hour patterns of students. who were enrolled in the cyber classes. into hourly pattern in a day, daily pattern in a week, and weekly pattern in a semester. We proposed general ideas to improve effectiveness and function of current e-learning. Over 50% of logins were for less than 30 minutes learning and there is wasteful use of e-learning system resources.

• 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.

• Journal of Nutrition and Health
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• v.35 no.8
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• pp.886-895
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• 2002

Introduction and application of virtual education has been rapidly increased in these days. A variation of information communication technology has an effect on education in interconnect with network as internet in the world that exceed the limit of time and regional. Computer and network communication technology through the medium of internet make an entrance cyber education as a new education paradigm. It must be affective on learner who have various educational characteristics and requirements. It begins to appear quality, quantity improvements of knowledge and the development of information technology that web based cyber education. This study was conducted to develop the web based education program and to evaluate the effectiveness of learning satisfaction and accomplishment and to compare the cyber lecture system with the traditional lecture system During the second semester of 2001, this study was investigated 317 registered students in a "Food and Culture" class at Kyungwon University. The data were obtained from pre and post-study with self-administered questionnaire. The evaluation and satisfaction score of students who were registered in cyberclass was negative tendency to compare pre with post-test scores, because of insuffciency of computer-aided lecture system. The major problem was inconvenient in checking system for connecting times in cyberclass which was one of evaluation point in final score. Another problem was frequently disconnection during cyber studying and not to concentrate each time in the cyber lecture because of eye fatigue, boring due to less interesting contents than other newly developed web-site. The students was prefer to mix type of the cyber and traditional lecture type class. The result of final score an each class, the score of cyber class (71.36 $\pm$ 22.44) was significantly lower than other groups (mixed type : 76.66 $\pm$ 19.99, traditional type :79.17 $\pm$ 15.72) (p < 0.05). Cyber class was attempted to present a useful and interesting teaching and learning tool which can be applied successfully in a longer term. The result suggest that various teaching and learning strategies should be developed considering the fact that the student learn alone most in time.t in time.

• 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.

• The KIPS Transactions:PartA
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• v.14A no.3 s.107
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• pp.159-166
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• 2007

A arrival of u-teaming paradigm requires many u-teaming system and model that is varied and support to distance education, Accordingly, the distance education system in u-learning environment has attracted a fair amount of critical attention. However there remain many questions, as yet unresolved, such as it is difficult to maintain interaction between tutor and learner, the construction of system is a great expense to them, a tutor, who manages the system, lacks technologic background, in most current distance education system. To solve these problem, some preliminary observations have to be made first: to keep teaming process in situation that it is unconnected with tutor, to construct the system economically, and to make to be easy-to-use. Therefore, in this paper, we develop the 'Intelligent U-Learning System using Cyber Tutor', which includes the conception of u-learning such as mobility, immanency, supports to keep learning without real tutor by cyber tutor, and removes technological and economical costs, verify the validity.

• Journal of The Korean Association of Information Education
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• v.17 no.4
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• pp.507-513
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• 2013

The purpose of this paper is to compare the learning effectiveness of autonomous learning between on-line cyber learning using Internet media and off-line learning using printed media. In this study, each group is provided with the same learning contents and the same learning conditions. For autonomous learning the results revealed a significant difference between on-line cyber learning being not as effective as off-line learning. In order to improve the effectiveness of on-line cyber learning the negative aspects have been identified. These findings will help to improve the development of on-line learning effectiveness.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.171-177
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• 2002

E-Learning is a modem main teaching method starting from the concept of remote education. This research is aimed for proposing cyber education library system, and designing a cyber education component that becomes a basis for e-Learning system. Cyber education library is a storage system of cyber lectures that can supply high quality data to the needed developers. Cyber education component consists of 5 categories and those are text, voice, image, animation, and flash. By using this system, the developers can save the necessary time and effort in education development. This system also helps students. The students can access various lecture data on a given subject and select the best fit for them.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.336-339
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• 1999

Education paradigm is moved from traditional face-to-face method to cyber education environment. Therefore, we extracted the components of cyber education system and their detail functions through analysis on the workflow of education and learning standard technology. In addition, we think that template system will make a big role in order to deploy the cyber education system. Therefore, we designed the template system for cyber education. In this paper, we particularly describe both evaluation funrtion on course learning records and statistics function ell evaluation records.

• 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.