• Title/Summary/Keyword: Effective e-Learning System

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A study on Support System for Standard Korean Language of e-Learning Contents (e-Learning 콘텐츠의 남북한 표준언어 지원시스템 연구)

  • Choi, Sung;Chung, Ji-Moon;Yoo, Gab-Sang
    • Journal of Digital Convergence
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    • v.5 no.2
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    • pp.25-36
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    • 2007
  • In this paper, we studied on the effective structure of an e-Learning Korean Support System for foreigner based on computer systems which is to obey the rules of IMS/AICC International Standard regulations based on LCMS and SCORM. The most important task on this study is to support the function of self-study module through the review of the analysis and results of Korean learning and learning customs. We studied the effective PMS detail modules as well as the Standard Competency Module Management System, which related to LMS/LCMS, Learning an Individual Competency Management System, Competency Registry/Repository System, Knowledge Management System based on Community Competency Module, Education e-survey System and Module learning Support Service System. We suggested one of standard Effective Model of learning Korean Support System which is adopted in a various techniques for foreigner.

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Guidelines on Implementation of Corporate e-Learning Management Systems (기업 e-Learning 시스템 구축 및 운영 가이드라인)

  • Rha, Hyeon-Mi;Chang, Hea-Jung;Chung, Ran
    • Journal of Digital Contents Society
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    • v.10 no.1
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    • pp.73-85
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    • 2009
  • In this paper, we propose integrated guidelines of effective e-Learning management system based on LMS(Learning Management System), LCMS(Learning Contents Management System), Authoring Tools by linking e-Learning system to management. The purpose of the study is to describe the present condition and major characteristics of domestic e-Learning System and to recommend quality assurance related to main functions and practical use of the corporate e-learning in multiple ways and implementation strategies to fit facilitator, tutor, learner.

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Are Traditional Motivation Theories Used in Face-to-Face Classes Valid in an E-learning Environment?: Focusing on the Self-Determination Theory

  • BANG, Mi-Hyang
    • Educational Technology International
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    • v.15 no.2
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    • pp.89-115
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    • 2014
  • This research aims to develop an elementary school English e-learning system based on the 'Self-determination theory (SDT)', which is widely applied to traditional face-to-face foreign language classes. The study also attempts to verify whether SDT-a traditional motivational theory that has been applied to face-to-face classes- is effective in an e-Learning environment with students who use this newly developed system. For the purposes of this project, the following three actions were carried out. First, a motivational strategy based on SDT was deduced. In SDT, the needs for autonomy, competence, and relatedness were introduced as basic psychological needs, and assumed that these three needs provided the natural motivation for learning, growth, and development. Second, an e-Learning system was created based on the deduced motivational strategy. Third, the system was implemented in 115 private tuition academies, and education was provided to 1,400 users for one year across the country. Afterwards, by surveying users, correlation between the role of the three psychological needs in learning English, and also the correlation between each need and motivation were investigated. Research results showed that traditional motivational theories used in face-to-face classes so far were effective in an e-Learning environment.

The Study on the educational technology utilization of E-learning (E-learning의 교육적 기술의 활용에 관한 연구)

  • Kim, Kyung-Woo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.189-191
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    • 2014
  • This paper provides an overview of the E-learning service education on the last decade, In the early 2000's the emphasis of educational technology was on interactive multimedia- stand alone packages on computer hard disks or portable memory, which integrated a range of media forms in the lately. Customers handle finding the best sources of content.The system then uses social signals such as those coming from Facebook, Twitter, LinkedIn, delicious as well as clicks and views. The SNS and network infrastructure is sufficiently mature that the focus should shift to how to use the technology most appropriately to facilitate learning. As we study environmental conditions of the traditional internet and the mobile internet users in some ways. In this paper, analyze the nature of learning, role of educational and suggest alternative policy, innovation of e-learning service and effective e-learning environment in developing technology.

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Web-based E-learning System Supporting an Effective Self-directed Learning Environment (효과적인 자기주도적 학습 환경을 지원하는 웹 기반 이-러닝 시스템)

  • Kim, Mi-Hye
    • The Journal of the Korea Contents Association
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    • v.11 no.9
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    • pp.524-535
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    • 2011
  • For success in E-learning, support from a learning environment that enables learners to perform self-directed learning more effectively is assumed. However, most existing e-learning systems do not maximize the improvement in learners' self-regulated learning ability because they only partially accommodate factors that can facilitate self-directed learning. In this paper, a web-based e-learning system is designed and proposed that enables support of an enhanced self-directed learning environment by providing various learning methods, evaluation methods, learning content levels, and strategies for learning motivation in various conditions, and synthetically reflecting them. To validate the effectiveness of the proposed system, it was applied to the subject of data structures in a university course, and an online survey was conducted with the students. The results indicated that the proposed system can support a learning environment in which students can perform more effective self-directed learning, enhancing their learning ability.

A Effective LMS Model Using Sensing System (센싱기술을 이용한 효과적인 LMS 모델에 관한 연구)

  • Kim, Seok-Soo;Ju, Min-Seong
    • Convergence Security Journal
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    • v.5 no.4
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    • pp.33-40
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    • 2005
  • As e-learning studying is activated, learner's requirement increased. Therefore, need correct e-learning model augmented requirement of learner and new ubiquitous surrounding. In this treatise when, proposed to supplement studying contents relationship conversion service and cooperation studying service function to LMS that analyze existing e-learning model's limitation for ubiquitous environment e-learning model that can study regardless of, ubiquitously some contents and do based on SCORM ubiquitous-network and next generation sensor technology etc. Learning form conversion service senses a learner's surrounding situations and recognize his/her body condition using smart sensor technology and provides the learner with contents in the optimal form. Using sensing projects like Orestia and SOB, users can more effective collaborative learning service.

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Development of Intelligent Agent Systems based on Semantic Web for e-Learning (e-러닝을 위한 시멘틱웹 기반 지능형 에이전트 시스템 개발)

  • Han, Sun-Gwan
    • The Journal of Korean Association of Computer Education
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    • v.9 no.3
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    • pp.121-128
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    • 2006
  • This study suggested the new e-learning systems based on agent to provide an adaptable learning. In Semantic Web environment, to develop an ontology and an intelligent agent is essential for an adaptable e-learning systems. Especially, to develop a reasoning engine using analysis of learning content and learners' information can offer an effective e-learning system. Therefore, we developed an applying model to an adaptable e-learning systems and the various ontologies for Semantic Web environment. Moreover, we analyzed and developed ontologies within the framework of learning domain, a learner and interface. Further, we implemented an intelligent e-learning for applying an agent's reasoning. Through this system proposed, we suggested the new e-learning systems model for Semantic Web environment.

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A P2P-Based Experience Learning Support System for U-Learning (U-러닝을 위한 P2P 기반 체험학습 시스템)

  • Choi Seung-Kwon;Hwang Thomas;Cho Yong-Hwan;Lee Jun-Hee
    • The Journal of the Korea Contents Association
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    • v.5 no.6
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    • pp.309-318
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    • 2005
  • Learners show lower cooperation and responsibility at e-Learning(Electronic Learning) than face-to-face learners in class. Accordingly the LMS(Learning Management System) focus on collaborative learning design in order to promote the learner's interaction. In this paper, the Experience Learning Support System with JXTA-based P2P(Peer-to-Peer) architecture is proposed for an effective collaborative learning and a blended learning. It intends learners to develop a self-leading learning ability and a creative problem-solving ability through experience learning object's sharing. The experimental results described that the proposed system was more effective in an enhancing learner's learning ability and a cooperative learning than existing system.

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A Study on the Development of Adaptive Learning System through EEG-based Learning Achievement Prediction

  • Jinwoo, KIM;Hosung, WOO
    • Fourth Industrial Review
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    • v.3 no.1
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    • pp.13-20
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    • 2023
  • Purpose - By designing a PEF(Personalized Education Feedback) system for real-time prediction of learning achievement and motivation through real-time EEG analysis of learners, this system provides some modules of a personalized adaptive learning system. By applying these modules to e-learning and offline learning, they motivate learners and improve the quality of learning progress and effective learning outcomes can be achieved for immersive self-directed learning Research design, data, and methodology - EEG data were collected simultaneously as the English test was given to the experimenters, and the correlation between the correct answer result and the EEG data was learned with a machine learning algorithm and the predictive model was evaluated.. Result - In model performance evaluation, both artificial neural networks(ANNs) and support vector machines(SVMs) showed high accuracy of more than 91%. Conclusion - This research provides some modules of personalized adaptive learning systems that can more efficiently complete by designing a PEF system for real-time learning achievement prediction and learning motivation through an adaptive learning system based on real-time EEG analysis of learners. The implication of this initial research is to verify hypothetical situations for the development of an adaptive learning system through EEG analysis-based learning achievement prediction.

Analysis of Learners' Demand for the Universities e-learning Vitalization (대학 e-러닝 활성화를 위한 학습자 요구분석에 대한 연구)

  • Kim, Ki Suk;Park, Wee Joon;Yoo, Su Mi
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.1
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    • pp.75-84
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    • 2011
  • The e-learning contents offered in the current educational system does not appropriately reflect the needs of actual users in the planning and development phases. Considering this problem, this study sets the following four topics as its research: Stability of e-learning; Obstacles of the applications of e-learning; e-learning contents that users wants to be offered besides lectures; and methods of e-learning, and based on these goals, it aims at determining the 'needs of the users for the promotion of e-learning. As the target of the study, a survey was conducted with 200 students who have experienced taking e-learning classes in four universities located in Eastern Seoul, which have introduced an e-learning system. The data collected from the survey went through data coding and data cleaning processes and were analyzed by year, major, and department using SAS 9 statistics package program. The result of this study showed that developing and offering services of e-learning contents that are customized to students based on their majors and year can become an effective plan for promoting e-learning.