• 한국IT서비스학회지
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• 제7권4호
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• pp.231-246
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• 2008

This paper suggests an e-learning system model, a goal-driven personalized e-learning system, which increase the effectiveness of learning. An e-learning system following this model makes the learner choose the learning goal. The learner's choice would lead learning. Therefore, the system enables a personalized adaptive learning, which will raise the effectiveness of learning. Moreover, this paper proposes a SCORM standard, which modifies SCORM 2004 that has been insufficient to implement the "goal driven personalized e-learning system." We add a data model representing the goal that motivates learning, and propose a standard for statistics on learning objects usage. We propose each standard for contents model and sequencing information model which are parts of "goal driven personalized e-learning system." We also propose that manifest file should be added for the standard for contents model, and the file which represents the information of hierarchical structure and general learning paths should be added for the standard for sequencing information model. As a result, the system could sequence and search learning objects. We proposed an e-learning system and modified SCORM standards by considering the many factors of adaptive learning. We expect that the system enables us to optimally design personalized e-learning system.

• 4차산업연구
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• 제3권1호
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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.

• 디지털융복합연구
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• 제5권2호
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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.

• 디지털콘텐츠학회 논문지
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• 제10권1호
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• pp.73-85
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• 2009

본 논문은 학습관리시스템(LMS), 학습콘텐츠관리시스템(LCMS), 학습지원도구를 포함한 기업 e-Learning 시스템과 운영을 연계한 통합적 형태의 가이드라인을 제시하고 있다. 본 연구의 목적은 국내 e-Learning 시스템 현황 및 특성을 실태조사를 통해 파악하고, 관련된 국내 e-Learning 시스템의 다양한 질 관리 방법과 운영자, 교.강사, 학습자에게 적합한 실행 전략을 제시하고자 한다. 이를 통해 e-Learning을 새롭게 도입하거나 업그레이드 하고자 하는 교육훈련기관에게 e-Learning 시스템을 구축하고 운영체계를 수립하는데 도움을 줄 수 있을 것이다.

• 디지털콘텐츠학회 논문지
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• 제6권2호
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• pp.125-130
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• 2005

본 논문에서는 현재 각 대학에서 부분적으로 실시되고 있는 e-learning교육과 e-learning system에 대하여 분석 고찰하고 e-learning system의 적응도 향상에 관하여 연구하였다.

• 경영과정보연구
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• 제5권
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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 Information Processing Systems
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• 제16권3호
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• pp.572-587
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• 2020

Experience API provides a learner-centered model for learning data collection and learning process recording. In particular, it can record learning data from multiple data sources. Therefore, Experience API provides very good support for ubiquitous learning. In this paper, we put forward the architecture of ubiquitous learning system and the method of reading the learning record from the ubiquitous learning system. We analyze students' learning behavior from two aspects: horizontal and vertical, and give the analysis results. The system can provide personalized suggestions for learners according to the results of learning analysis. According to the feedback from learners, we can see that this u-learning system can greatly improve learning interest and quality of learners.

• 한국전자거래학회지
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• 제6권3호
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• pp.115-126
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• 2001

In constructive view, acquiring knowledge is made by experiences among members or elements. The knowledge in e-learning system can be extended up to knowledge of teachers and knowledge. of operating managers. We have many difficult problems to develop and manage e-1earning system because demanders on e-learning system have various. requirements. In traditional education system demanders are learners but in constructive view demanders can be extended to learners and teachers, operating mangers on e-learning system., In this study, we design and implement e-learning system named kedu V.1. Kedu V.1 is developed considering interactions of extended demanders of e-learning system in constructive view. And this system based on Linux operation system and MySQL, PHP. Also this system have efficient transplantation and portability capabilities and reduced cost and labor in implementation of real e-learning system

• 한국멀티미디어학회논문지
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• 제21권10호
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• pp.1195-1202
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• 2018

Artificial neural network is widely used for its excellent performance and implementability. However, traditional neural network needs to learn the system from scratch, with the addition of new input data, the variation of the observation environment, or the change in the form of input/output data. To resolve such a problem, the technique of transfer learning has been proposed. Transfer learning constructs a newly developed target system partially updating existing system and hence provides much more efficient learning process. Until now, transfer learning is mainly studied in the field of image processing and is not yet widely employed in acoustic data processing. In this paper, focusing on the scalability of transfer learning, we apply the concept of transfer learning to the problem of guitar chord classification and evaluate its performance. For this purpose, we build a target system of convolutional neutral network (CNN) based 48 guitar chords classification system by applying the concept of transfer learning to a source system of CNN based 24 guitar chords classification system. We show that the system with transfer learning has performance similar to that of conventional system, but it requires only half the learning time.

• 한국전자거래학회지
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• 제9권1호
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• pp.61-81
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• 2004

학습 컨텐츠 관리 시스템(Learning Contents Management System)은 컨텐츠 관리와 학습자들의 학습과정 관리를 한데 묶어 융통성 있게 활용할 수 있도록 도와주는 시스템이다. e-Learning은 웹 (Web)을 포함하는 전자적 기반을 이용해서 제공되는 모든 교육 체제들을 포함한다. 기존의 e-Learning 시스템은 웹을 기반으로 하여 컨텐츠를 제공하는 단순한 정보 시스템의 구축으로 학습자 및 교수자에게 융통성 없는 시스템이었다. e-Learning 시스템의 핵심은 LCMS를 기반으로 하여 충실하게 작성된 강의 컨텐츠를 기반으로 교수자 및 학습자의 공간대가 형성되는 원격 교육이어야 한다. 본 논문은 컴포넌트 기반 소프트웨어 개발 방법 (Component-Based Software Development)을 이용하여 재사용 가능한 컴포넌트 모듈을 만들고 이를 이용하여 e-Learning 시스템을 구축한다. 그리고 새로운 컨텐츠 묶음을 생성하고, 학습 객체(Learning Object)를 통한 학습 코스를 개발할 수 있도록 한다. 또한 SCORM 표준을 준수하여 강의 컨텐츠를 설계하고 작성하여 학습자에 제공한다. 학습자에 게는 자신의 역량을 관리하는 프로파일을 만들고, 개인의 역량 수준을 측정하고 평가하여 학습자의 역량 수준별로 필요역량을 개발할 수 있는 역량개발 수립을 구축하는 프로토타입을 만들고, 이를 교육 훈련과 연계하는 시스템으로 구축한다.