• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.1
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• pp.65-72
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• 2007

This paper aims to provide information to generate a statistical load model of an educational server by analyzing workload of an e-Learning sewer at Dankook University. The result of the analysis shows file size distribution, access frequency and transmission volume for each file type, access interval, changes in preference and clients access rate by networks. In particular, it had different results from previous studies about video file's size distribution and file distribution based on access frequency. This is because the characteristics of e-learning are influenced by using authoring tools for making into video file and by freeing the number of students who register for a course. The result in this paper can be used as a basic data for studies designed to improve e-learning system architecture and server performance.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.245-260
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• 2006

The e-learning market in korea has been growing rapidly over the past several years. We selects the variables well matched to service quality of e-learning site on the basis of independent variables of this study, sets the models as adding the factors newly noticed such as convenience of site use in e-learning. We also see the significance of the relationships between service quality of e-learning site, personal performance, customer satisfaction and customer's reuse intention.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.341-347
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• 2013

Instructor willingness to accept and literacy is an e-leaning important variable to expect a positive effect of the introduction of e-learning from the perspective of university. The role of faculty is not only instructor but also content experts, curriculum designers, graphics professionals, media director or programmer. This study suggest as the role of instructor as pedagogical, managerial, social and technical aspect for effective learning outcomes.

• English Language & Literature Teaching
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• v.17 no.4
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• pp.375-393
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• 2011

Many aspects of e-러닝 and m-러닝 have been conducted in language learning settings while few studies have examined learners'psychological attitudes in both Internet-based languages learning environment. Althoughe-Learning and m-Learningin the content of language learningshares many common aspects, the study that particularly examinesEnglish learners' psychological attitudes from both learning environments has not been conducted. Thus, the purpose of this study is to investigate group difference between e-러닝 and m-러닝 in terms of characteristics of both learning environments, including Contextual Offer, Interactivity, Enjoyment, Usefulness, Easiness, Variety, Connectivity, Satisfaction, and Learning Performance. Results showed that even if there was little difference within and among groups in English learners' feelings, learners have different attitude on Enjoyment, Easiness, and Connectivity.

• IE interfaces
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• v.18 no.1
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• pp.10-21
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• 2005

With the increasing proliferation of World Wide Web, electronic mail systems have become very widely used communication tools. Researches on e-mail classification have been very important in that e-mail classification system is a major engine for e-mail response management systems which mine unstructured e-mail messages and automatically categorize them. In this research we compare the performance of Naive Bayesian learning and Centroid-Based Classification using the different data set of an on-line shopping mall and a credit card company. We analyze which method performs better under which conditions. We compared classification accuracy of them which depends on structure and size of train set and increasing numbers of class. The experimental results indicate that Naive Bayesian learning performs better, while Centroid-Based Classification is more robust in terms of classification accuracy.

• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.135-139
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• 2016

This paper investigates the empirical implications. The research question of this study is to verify the influences of psychological and environmental factors toward performance satisfaction and durability of learning in E-Learning University. For empirical verification, a survey was conducted targeting 500 students in E-learning Universities. The results show that actional environment on academic satisfaction in learning is the most important factor followed by physical environment, internal motivation, and academic burnout. The effect of psychological factors on learning persistence was important in the order of academic vision, internal motivation, actional environment and physical environment. The effect of academic satisfaction on learning durability proved to be statistically significant. The results suggest that actional environment should be considered with top priority to increase the academic satisfaction. learning satisfaction, academic vision, and academic satisfaction to enhance students' intention to continue studies are important. Academic burnout has a negative effect on both academic satisfaction and learning persistence, suggesting that this aspect should be properly addresses. The effects of student background variables in E-learning were explored.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.6
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• pp.502-505
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• 2005

According to use of a multimedia content being increased in an e-learning, a size deviation of a content to provide in an e-teaming system is increased. It is becoming a factor to drop efficiency of education because this makes a deviation of response time on an e-learning user. Therefore, studies about a deviation improvement of user response speed is necessary in the e-learning system that used a multimedia content. In this study, we designe the hybrid e-teaming system that used multi-layed structire. A proposed system is based on a characteristics of media and size of a content that a multimedia data had. Also, it proved superiority of performance through experimentation.

• Journal of Technology Innovation
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• v.12 no.3
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• pp.1-24
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• 2004

E-Learning is another way of teaching and learning. E-learning is a networked phenomenon allowing for instant revisions and distribution, and goes beyond training and instruction to the delivery of information and tools to improve performance. The benefits of e-learning are many, including cost-effectiveness, enhanced responsiveness to change, consistency, timely content, flexible accessibility, and providing customer value. The proponents of e-learning stress the importance of using communities of interest to support and enhance the learning process. They also emphasizes that people learn more effectively when they interact and are involved with other people participating in similar endeavors. Although the role of e-learning in higher education has significantly increased, the resistance to new technology by professors and lecturers in university and colleges worldwide remains high. The purpose of this study is to identify the determinants of attitude and planned behavior toward e-learning class in universities. A survey methodology was used to investigate a proposed model of influence, and structural equation modeling was used to analyze the results. The hypothesized model was largely supported by this analysis, and the overall results indicate that attitude toward e-learning systems is mostly influenced by the perceived ease of use as well as the level of perceived usefulness, where both factors are influenced by years of experiences in using cyber system and the technical support level. As in other TAM related research, it can be concluded that the perceived ease of use and perceived usefulness contribute to the future use of e-learning system.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.123-123
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• 2007

• Journal of Digital Convergence
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• v.16 no.6
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• pp.1-8
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• 2018

This study examined the major precedent variables that could affect e-learning users' attitudes in two highly-networked countries and a sharply-spreading country in East Asia, namely South Korea, Vietnam, and Singapore. This research also reviewed why e-learners were using the Internet for their study and unveiled cross-national differences in antecedents of online activities, motivations, intention to use, and enhancement in performance among three countries. This paper could see if there were any differences in precedents of e-learning among the countries by ANOVA. Plus, the study uncovered that what precedents impacted the follow-ups of e-learning by regression analysis in each country. The paper found out that differences in social and cultural aspect influenced on the precedents and the follow-ups of e-learning among the countries. For example, Korean learners had stronger utilitarian motivations for e-learning while the Vietnamese and the Singaporean did not. Korean and Singaporean learners were more strongly influenced to visit e-learning sites by their friends and lecturers than the Vietnamese.