• Title/Summary/Keyword: smart e-learning system

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Construction on e-learning Platform of Smart Phone Environment (스마트폰 환경에서의 e-learning 플랫폼의 구축)

  • Pyo, Sung-Bae
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.11
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    • pp.125-132
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    • 2012
  • In recent years, a variety of learning content construction utilizing the smart phone is coming. In this paper, we investigate on overall trends and movements in e-learning performance at University. And system developed a e-learning platform consisting of smart phone portal, learning management system(LMS), and learning content management system(LCMS). Throughout the experiment, each of the components of the e-learning were implemented. LMS was implemented more efficiently using a user profile evaluation system for qualification.

A Study on Multi-Screen synchronization techniques based on Timed Button configuration for smart learning space (스마트 학습 공간 구성을 위한 Timed Button 기반의 다중스크린 동기화 기법)

  • Yoon, YongIk;Cho, YoonAh
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.9
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    • pp.91-99
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    • 2013
  • In these days, the smart devices are being developed and used repeatedly. But almost E-learning System did not provide these smart devices environment and user's E-learning space is changing from Single-screen environment to multi-Screen environment. Accordingly we configure smart E-learning space based on multi-screen and integrate the multi-media contents for the Smart E-learning service. We present the synchronization techniques to make the multi-screen environment for smart space with Timed Link and design the Timed Button to relate each Screen which is using multi-media e-learning contents.

Study on Construction Method of Hybrid Web-based Smart Learning Systems (하이브리드 웹 기반의 스마트 러닝 시스템 구축 방안 연구)

  • Kim, JongBae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.370-378
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    • 2012
  • This paper proposes a method of constructing of hybrid web-based smart learning system to operable in a variety of mobile devices. To do this, the proposed system is developed a learning system with standardized and enhanced functions. In the proposed method, API specifications based on the standard functionality of smart learning system are created. And then, by building the API provider on a legacy system an organic linkage between the legacy system and the smart learning system is guaranteed. A standard API method is applied to data integration between the PC-based learning system and the smart learning system. The smart learning system interacts with legacy learning systems though Json/XML data forms via the https protocol. As a result, the legacy system using the proposed method dose not require major modifications and changes for a smart learning service.

Legacy of Smart Device, Social Network and Ubiquitous E-class System

  • Abduljalil, Sami;Kang, Dae-Ki
    • Journal of information and communication convergence engineering
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    • v.9 no.1
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    • pp.1-5
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    • 2011
  • Everyday, technology is evolved in many different disciplines. Computer and smart devices revolution take part of the evolved technology that continuously promising new features. Moreover, social networks services recently become widely popular, which most people in the world become a social-network-fond. In addition to the revolution of the evolved technology and social networks services, ubiquitousness is taking significant part in our daily lives. Although, there are many e-learning systems already existed, which use Internet technology along with a Web technology to provide education in various ways, in despite of that, there is no such existing system exploits the usefulness of smart devices along with the legacy of the online social networks besides the power of the ubiquitous computing technology. Therefore, we propose a smart device application, which fills the gap that has been missing in the recent contemporary era. It is an application that runs on smart devices particularly Smartphone devices; we call our system “Smart Device based Social E-learning System(SDES)”. We have preliminary implemented our system on Android OS. In this paper, we intentionally propose the system in order to ease the way people learn, to provide interactive accessibility in our system, and to utilize the advanced technology more wisely.

A Study on the Smart E-Learning Model using Smart Card System (스마트카드 시스템을 활용한 스마트 E-Learning 모델에 관한 연구)

  • Yoon, Jung-Han;Park, Man-Gon
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.398-401
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    • 2012
  • 본 논문에서는 유비쿼터스 기반의 스마트카드를 이용하여 다양한 사용자의 이용과 함께, 타 시스템과 연동을 통한 사용자 인증 및 교통, 유통, 학생증 기반을 제공하는 다기능 스마트 E-Learning 시스템을 구축하여, 다양한 제휴를 제공하고, 미래교육인프라를 활용함과 동시에 첨단 IT 환경인 스마트카드를 적용할 수 있는 종합적인 정보 서비스를 제공함으로써 유비쿼터스 E-Learning 문화를 체험하고, 보다 높은 수준의 교육환경을 제공하고자 한다. 또한 미래지향적 첨단 E-Learning 생활을 유도함과 동시에 각종 시설물 이용 및 다양한 생활에 이용되어 더 나은 Smart E-Learning을 제공한다. 이는 다양한 실적 및 통계자료의 활용을 통해 현황 파악의 신속성, 정확성을 기하여 21 세기 E-Leaning로서 경쟁력 강화 및 이미지 제고를 위하여, 스마트카드 시스템을 활용한 스마트 E-Learning 모델에 대하여 제시하고자 한다.

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Fault Tree Analysis and Failure Mode Effects and Criticality Analysis for Security Improvement of Smart Learning System (스마트 러닝 시스템의 보안성 개선을 위한 고장 트리 분석과 고장 유형 영향 및 치명도 분석)

  • Cheon, Hoe-Young;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.20 no.11
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    • pp.1793-1802
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    • 2017
  • In the recent years, IT and Network Technology has rapidly advanced environment in accordance with the needs of the times, the usage of the smart learning service is increasing. Smart learning is extended from e-learning which is limited concept of space and place. This system can be easily exposed to the various security threats due to characteristic of wireless service system. Therefore, this paper proposes the improvement methods of smart learning system security by use of faults analysis methods such as the FTA(Fault Tree Analysis) and FMECA(Failure Mode Effects and Criticality Analysis) utilizing the consolidated analysis method which maximized advantage and minimized disadvantage of each technique.

Mobile Augmented Reality for Smart-Learning System (모바일 증강현실을 활용한 스마트러닝 시스템)

  • Lee, Jae-Young;Kim, Young-Tae;Lee, Seok-Han;Kim, Tae-Eun;Choi, Jong-Soo
    • Convergence Security Journal
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    • v.11 no.6
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    • pp.17-23
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    • 2011
  • In this paper, we propose mobile Augmented Reality(AR) for smart learning system which is advanced e-learning. AR is technology that seamlessly overlays computer graphics on the real world. AR has become widely available because of mobile AR. Mobile AR is possible to get information from real world anytime, anywhere. Nowadays, there are various areas using AR such as entertainment, marketing, location-based AR. One of the most promising areas is education. AR in education shows lifelike images to users for realism. It's a good way for improving concentration and attention. We utilize only a camera for image-based AR without other sensor.

English E-Learning System Based on .NET Framework (.Net Framework를 이용한 영어 이러닝 시스템)

  • Jeon, Soo-Bin;Jung, In-Bum
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.2
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    • pp.357-372
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    • 2012
  • Existing e-learning systems not only require complex admission processes but also do not give stepwise education methods according to individual learners' characteristic. These circumstances cause learners to lose educational interest so that their educational efficiency decreases. In particular, the present e-learning systems do not provide educational approaches suitable for infant and elementary children. Under this system, the e-learning education for children does not proceed completely without guardians. To solve this problem, we design and implement an English e-learning system for elementary children based on friendly and comfortable user interfaces. For children, the proposed system reflects their age and individual interesting per each e-learning stage. This system supports both the Web application platform and smart phone application platform for various client requirements. The proposed system manages 3 classes as English learning content. Learners can experience their own English e-learning course in each class, which is compiled by current educational ability. In addition to the general functions in e-learning system, the proposed system develops content buffering algorithm to reduce data traffic in server.

Construction of e-learning in Android (안드로이드에서 e-learning 구축)

  • Shin, Seong-Yoon;Lee, Hyun-Chang;Kim, Hee-Ae;Rhee, Yang-Won;Pyo, Sung-Bae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.136-138
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    • 2013
  • In this paper, we investigate on overall trends and movements in e-learning performance at University. And system developed a e-learning platform consisting of smart phone portal, learning management system(LMS), and learning content management system(LCMS). Throughout the experiment, each of the components of the e-learning were implemented.

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A Study on the Segmentation for Adaptation of Web Contents in Smart Learning Environment (스마트 학습 환경에서 웹 콘텐츠 적응을 위한 부분화에 관한 연구)

  • Seo, Jin Ho;Kim, Myong Hee;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.325-333
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    • 2016
  • The development of smart technology has brought the conversion of closed traditional e-learning contents into open flexible smart learning contents consisting of learner-centered modules, without the constraints of time and space by use of smart devices from the uniformed and passive classroom between teachers and learners. It has been demanded an open, personalized and customized teaching and learning contents of smart education and training systems according to wide supply of various smart devices. In this paper, we discuss about the status of the smart teaching and learning systems and analyze the characteristics and structure of the web contents for smart education and training systems by use of smart devices. And we propose a method how to block web contents, to extract them, and adapt personalized segments of web contents by adaptive algorithm into smart learning devices. We extract blocks from the web contents based on the smart device information and the preference information of the learners from existing web contents without the hassle of learners environment. After specifying a block priority from the extracted web contents by the adaptive segment algorithm, it can be displayed directly to the screen to fit the individual learning progress of the learners.