• Journal of Fisheries and Marine Sciences Education
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• v.23 no.1
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• pp.116-125
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• 2011

In this study, a survey research was conducted on government employees in Busan Metropolitan City to identify the influence of cyber education factors (learning factor, learner factor, and learning system factor) on the preference for government employee cyber education offered by the government always learning system. Analyzed results, recognition of learning factor, learner factor, and always learning system were shown to have significant influence on the preference for cyber education, but no indication of influence by always learning support. This study intends to assist stimulating voluntary participation in cyber education and active commitment in learning activities through improving learning effect and fortifying convenient informatization education, with regard to activation of cyber education and improved preference for cyber education.

• Management & Information Systems Review
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• v.5
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• pp.249-285
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• 2000

This paper discusses management education by utilizing the cyber education learning system in a web-based. New learning system tools offer great promise for a new contents of management learning. The cyber education learning system a shift from face-to-face lecturing to interactive learning. The situation changes profoundly when information technology becomes develope and education paradigm is shift. By exploiting the digital media. educations, and students, managers can shift to a new, more effect cyber education learning system. The following shift from classic educations to cyber educations learning system: from instruction to construction, from teacher-centered to learner-centered, from school to lifelong, from one-size-fits-all to customized, from teacher as transmitter to teacher as facilitator. Cyber education learning system has an important role to play in management education. Web-based technology is regarded as a general solution to cyber education learning. This study discussed many factors of implementation in cyber education systems and provide utilizing the learning system at main, detail functions. Lastly, management implications of these cyber education utilize are discussed in more detail.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.145-155
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• 2008

The purpose of this research is to investigate the effects of the Cyber Home Learning Motivation Factors on its satisfaction and activation through surveying the actual conditions among the students present at a cyber home learning class. For this study, samples were collected around the end of a term from the students(300 in pilot test and 248 in main test) who were taking Cyber Home Lecture at high school level. Structural equation model by AMOS 5.0 was used to analyze the data. The result of our analysis is summarized as follows. First, the cyber home learning satisfaction has a positive effect on the cyber home learning activation. Second, the 4 factors of the cyber home learning motivation: relevancy, self-confidence and satisfaction has a positive effect on the cyber home learning satisfaction. But the factor 'attention' has no positive effect on the cyber home learning satisfaction. Therefore, the Good Cyber Home Learning Contents should provide the information quality which meets 3 conditions: relevancy, self-confidence and satisfaction.

• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.295-310
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• 2010

This study measured college students' levels of satisfaction with their cyber learning through an online survey of students who had taken one or more cyber learning before. 500 returned and usable questionnaires were analyzed and SPSS WIN 12.0 was used for the descriptive statistics, t-test, factor analysis and analysis of covariance structures. The results are as follows; First, college students were very interested in their cyber learning. Their decision to take the cyber learning was initiated more by emotional motives (m=3.13) than by rational motives (m=3.35). Second, the consumers' expectations for the cyber learning were divided into the 'Expectation for service quality' and the 'Expectation for economy,' and their 'Expectation for economy'(m=4.02) was higher than their 'Expectations for service quality'(m=3.60). Third, the consumers' expectations for the cyber learning and the results of the cyber learning were analyzed, and a discrepancy between these two were also analyzed. The analysis of discrepancy between the two showed that the average of the results was lower than that of the expectations, which means that the cyber learning did not meet the consumers' expectations in every aspect, However, the average satisfaction level was 3.20, which means consumers were satisfied with the cyber learning overall. Fourth, causes of dissatisfaction with the cyber learning were divided into internal factors due to personal matters and external factors due to classes and other factors. It was found that dissatisfaction due to internal factors was greater than that due to external factors. Lastly, the factors affecting satisfaction/dissatisfaction with the cyber learning and willingness to use it again were analyzed. The results showed that the motive for its use affected the formation of expectation but it did not affect the results. Satisfaction with the cyber learning affected the willingness to use it again positively. However, the effect of dissatisfaction on the willingness to use it again was not statistically significant.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.159-168
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• 2021

Detecting cyber-attacks using machine learning or deep learning is being studied and applied widely in network intrusion detection systems. We noticed that the application of deep learning algorithms yielded many good results. However, because each deep learning model has different architecture and characteristics with certain advantages and disadvantages, so those deep learning models are only suitable for specific datasets or features. In this paper, in order to optimize the process of detecting cyber-attacks, we propose the idea of building a new deep learning network model based on the association and combination of individual deep learning models. In particular, based on the architecture of 2 deep learning models: Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM), we combine them into a combined deep learning network for detecting cyber-attacks based on network traffic. The experimental results in Section IV.D have demonstrated that our proposal using the CNN-LSTM deep learning model for detecting cyber-attacks based on network traffic is completely correct because the results of this model are much better than some individual deep learning models on all measures.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.141-156
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• 2014

This study intended to evaluate the viability of cyber education in terms of learning satisfaction and learning achievement. The study integrated two research streams such as social presence model and learning environment model. Where the learning environment model emphasizes the components of learning aids, social presence model considers more deeply the relationships among peers and with instructors. These two research streams have been considered relatively independently. The study integrated these ideas and measured their reliabilities and validities. The results demonstrate that the two constructs are relevantly independent and both of these constructs are very important considerations for the success of cyber education. The study concludes that cyber education 2.0 requires more social presence factors than the learning environment factors such as technological development or new equipments.

• Educational Technology International
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• v.6 no.1
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• pp.41-63
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• 2005

E-Learning is widely introduced with cyber universities in Korea from 2001 whencyber universities were first authorized by the Ministry of Education and Human Resource Development. E-learning amplified by cyber university gave a big impact in the campus based university which became the cause for the educational paradigm shift. The changes of status of cyber university shows important trend in college education which was analyzed by enrollment rate, types of cyber university, demography, and study areas. The enrollment rate of cyber universities is ever since 2001 and variety of study areas gives popularity to students. The demography of students is as expected older than traditional students. Female students at the cyber university outnumbered that at campus based university in Korea. For analyzing the trend of e-learning in Korea, there were studies twice in 2001 May-June from 213 faculty members and staff, 630 students and in 2004 May-June with 401 students. Most of e-learning students tent to spend less time yet, students feel more burden with e-learning. Professors tend to load more materials for the e-learning in 2001but in 2004 study, the difference no longer exists. Professors and students feel the academic achievement through e-learning is not as good as from the traditional classes. Difficulties for e-learning in 2001 were the lack of administrative information but in 2004, boring contents and lack of instructional strategies for e-learning. Technical problems still do exist but less serious. Suggestions for e-learning are blended learning, online students prefer video streaming with their own lecturer, new definition of instructor is needed, professional development for content development and online instruction is needed, success story of online learning should be encouraged, guidance for online students needed. The cyber university experiencegave a positive impact on the traditional universities such as rethinking the roles of universities, the quality control of classes, professional development, student oriented educational service of e-learning pedagogy.

• Journal of Elementary Mathematics Education in Korea
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• v.13 no.1
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• pp.51-74
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• 2009

The purpose of this study is to search for various strategies that could self-regulated learning within cyber home study efficiently, to operate the cyber home study based on such strategies, to manage and support students' learning and to investigate what effects it would have on the ability of self-regulated learning and attitude. In this study, an operational strategy for cyber home study according to the compositional elements of self-regulated learning based on prior studies. Then, the study developed the learning contents of cyber home study and operated cyber home study according to the operational strategy. From the results of the analysis obtained in this study, the following conclusions can be drawn as follows. First, A learner's self-regulated learning capability is able to be improved by self-regulated leaning strategies. Cyber home study that would enable students to implement the leaning on their own through learning contents and operating strategies corresponding to them was the environment that could help their self-regulated learning. Second, in order to find out students' satisfaction for the application of cyber home study, the study compared the survey of cyber home study with the frequency and percentage by each question and the mean value of technical statistics. Cyber home study let students have positive recognition on mathematical learning, and especially as shown in the results of the interview, it was helpful to improve students' interest and confidence as well as their mathematical learning.

• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.81-89
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• 2011

Cyber-home Learning aims to extend learning space from the classroom to real-life situations, and teachers of research schools on Cyber-home learning have indicated the importance of connection with school instruction in order to improve students' performance. The goal of this study is to evaluate the influence of the instructional method( blended-learning vs just cyber learning) and the learning styles by Kolb's LSI on Cyber-home learning. We carried out the experiment using two similar classes in the social and math subjects for 1 semester. The results statistically shows the instructional method is the most influence on learning score and the next element is the learning styles. Therefor this study proved again Cyber-home learning is effective when connecting with school instruction and also the more various contents on learning styles could be supportive to students. In other words teacher's role and the adaptive learning contents by learning styles are essential for Cyber-home Learning's success.

• Journal of The Korean Association of Information Education
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• v.12 no.3
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• pp.253-265
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• 2008

Recently the cyber home learning system is executed throughout the country as a part of educational policies to reduce expenditure on private education and to promote educational welfare for alienated classes. Thus, in order to examine the effectiveness of the cyber home learning system, we conducted an online questionnaire survey with elementary and secondary students, cyber teachers under the OO Office of Education. According to the results, overall satisfaction with the cyber home learning system and its effectiveness were found high. In addition, what were required for more effective the cyber home learning system were expanding the execution of unit school learning, strengthening teacher training, increasing incentives for cyber teachers, intensifying campaigns for the cyber home learning system, providing various types of information and contents of education, and activating learning activities such as community, message and chatting. This study is expected to be a steppingstone to the settlement of more effective the cyber home learning system.