• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.867-870
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• 2014

Currently a number of universities and other educational institutions in the e-learning education system being implemented. Also that there is a demand. However, existing e-learning system has many problems. First, the theory of how the university -centered education and training institutions to adopt e-learning system has become the biggest obstacle. In addition, students can not engage the problem of a one-way lecture. In this paper, the theory -oriented and practice to overcome the one-way river systems programming language will develop e-learning content. Using socket communication and multi-threaded server-side Web browser on the client side through the compiler without installing a separate application installation and environmental learning environment can be unrestricted. Hands- content programming language allows the learner to direct the client-side source code in a web browser by entering the lecture is leading the way. For learners to enter the source code compiled to run on the server side, the compiler provides the learner results. Hands- because the future e-learning content development in e-learning systems will be a major contribution to.

• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.133-137
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• 2017

In this paper, we present the results of the study on the development of electric circuit e-learning content as one of the required courses in electrical and electronics engineering. Theoretical learning of electric circuit e-learning contents is based on multimedia type and the practice part is based on moving picture. The e-learning contents were used for a blended learning in actual offline class. We investigated the learning effect of each component of e-learning contents and investigated and analyzed the type of e-learning contents suitable for class of electric circuit. In addition, we investigated and analyzed effective ways to utilize e-Learning content for offline teaching. In this paper, we show how to construct effective contents, length types and utilization methods in engineering education through the case study on the e-learning content.

• International Journal of Knowledge Content Development & Technology
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• v.5 no.2
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• pp.103-122
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• 2015

This study examined student satisfaction with e-learning experiences in order to determine which factors had the greatest impact on reports of satisfaction among students at Konkuk University. We surveyed 4,889 students enrolled in e-learning courses and analyzed 830 completed questionnaires to identify factors that influence student satisfaction with e-learning. Results showed significant correlations between system factors and satisfaction ($R^2=0.577$; p = 0.000). The system factor with the greatest impact on satisfaction was course attendance rate (0.224; p = 0.000).

• International Journal of Contents
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• v.5 no.2
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• pp.1-5
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• 2009

This study was to analyze important dimensions and its factors of micro level of e-learning determining the quality of e-learning. E-learning dimensions and their factors were identified and developed from the analytical review of related researches. From literature review and survey as well as expert interview, six categories of e-learning identified from this study were: 1) curriculum content, 2) usability, 3) instructional design, 4) evaluation -both process and results, 5) management, and 6) refinement and improvement. A total of thirty-seven factors determining the quality of the e-learning six categories were identified. The rank order and contribution rates for each categories and factors were calculated to explain how importantly they contribute to the quality of e-learning. Also three dimensions such as controlling the e-learning quality, e-learning fundamental dimension e-learning process dimension, and e-learning product dimension, were explained. This study suggests a useful guidance for e-learning quality and evaluation framework for better results.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.235-242
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• 2013

Reputation systems aggregate users' feedback after the completion of a transaction and compute the "reputation" of products, services, or providers, which can assist other users in decision-making in the future. With the rapid growth of online e-Learning content providing services, a suitable reputation system for more credible e-Learning content delivery has become important and is essential if educational content providers are to remain competitive. Most existing reputation systems focus on generating ratings only for user reputation; they fail to consider the reputations of products or services(item reputation). However, it is essential for B2C e-Learning services to have a reliable reputation rating mechanism for items since they offer guidance for decision-making by presenting the ranks or ratings of e-Learning content items. To overcome this problem, we propose a novel collaborative filtering based reputation rating method. Collaborative filtering, one of the most successful recommendation methods, can be used to improve a reputation system. In this method, dual information sources are formed with groups of co-oriented users and expert users and to adapt it to the reputation rating mechanism. We have evaluated its performance experimentally by comparing various reputation systems.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.183-191
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• 2020

Many learners are encountering e-Learning contents with smart devices and contents provides are carefully observing learners' reuse intention and behavior. Therefore, this study investigated the effect of e-Learning content platform characteristics on reuse intention for 200 users with smartphone-based e-Learning experience. The results show that the characteristics affecting reuse intention are content quality, interactivity, and ubiquity. Moreover, for men, only interactivity affects reuse intention, and for women, ubiquity and content quality affect reuse intention. When using smartphone-based e-Learning for less than an hour a day, only content quality affects reuse intention. On the contrary, ubiquity, convenience, and interactivity influence reuse intention when learning for more than one hour. Our results suggest meaningful implications that how e-Learning companies change their smartphone-based platform business strategy and how they utilize its key factors.

• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.429-437
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• 2010

As Web technology and functions have recently changed to a user-focused paradigm, new studies are being conducted to construct dynamic learning content that enables the learner's participation and continuous learning in the field of e-learning research and design. This paper covers a study on the degree of difficulty in learner-focused dynamic learning contents to provide efficient learning environments for its adaptation to e-learning 2.0. This study suggests DLA (Dynamic Level Adjustment) to provide learner-focused contents. The suggested system will be a guideline to control and adopt learning content that can be easily applied to the environmental change, and more in-depth future research can be performed by using the system. A dynamic learning content model was made to recognize various learning patterns of learners as a result of the performance evaluation.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.77-83
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• 2010

Effectiveness of the e-learning hands-on practice in the engineering education depends on the quality of the contents of which simulation is a part and the teaching strategy of the instructor. Instructors who develop and use the simulation-included e-learning content should employ various teaching and learning activities which would make online simulation practice effective. Thus, the strategy for the effective e-learning simulated practice in engineering courses should be known and used effectively. The aim of this paper is to classify the development methods of the simulations and the teaching and learning activities of the development types classified. The comparison of the teaching and learning activities leads to suggestion on teaching and learning strategy for effective use of the online simulation in engineering education.

• Journal of Distribution Science
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• v.20 no.11
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• pp.121-129
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• 2022

Purpose: Artificial intelligence is widely used, particularly in the popular neural network theory called Deep learning. The improvement of computing speed and capability expedited the progress of Deep learning applications. The application of Deep learning in education has various effects and possibilities in creating and managing educational content and services that can replace human cognitive activity. Among Deep learning, Deep fake technology is used to combine and synchronize human faces with voices. This paper will show how to develop e-Learning content videos using those technologies and open-source tools. Research design, data, and methodology: This paper proposes 4 step development process, which is presented step by step on the Google Collab environment with source codes. This technology can produce various video styles. The advantage of this technology is that the characters of the video can be extended to any historical figures, celebrities, or even movie heroes producing immersive videos. Results: Prototypes for each case are also designed, developed, presented, and shared on YouTube for each specific case development. Conclusions: The method and process of creating e-learning video contents from the image, video, and audio files using Deep fake open-source technology was successfully implemented.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.835-838
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• 2005

본 논문에서는 국내에 산재한 생물다양성정보를 e-Learning에 활용하기 위하여 KISTI에서 구축한 생물다양성 데이터베이스 현황과 e-Learning의 기술요소 등을 조사하였으며, 기존에 구축된 생물다양성정보 데이터베이스를 활용하여 일반인과 학생을 위한 e-Learning 생물다양성 학습 콘텐트를 기획하고 설계하였다. 본 설계를 바탕으로 생물다양성 콘텐트를 개발한다면, 국토가 좁고, 네트워크 인프라가 잘 갖추어져 있는 우리나라의 실정에 맞는 사이버공간상의 학습의 장으로서 일반인과 학생들에게도 양질의 e-Learning 학습 콘텐트를 제공할 수 있으리라 기대한다.