• Title/Summary/Keyword: 서비스러닝

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Development of an Interactive self-control-mode based RTE System based on CBT (CBT 환경을 기반으로 하는 쌍방향 자율모드 기반 RTE 시스템 개발)

  • Kim, Seong-Yeol;Choi, Bo-Chul;Hong, Byeong-Du
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.2
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    • pp.227-234
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    • 2012
  • Development of Computer science and internet technoloy have led changes all over the social area. Educational markets based on this circumstance are offering various services named remote education, cyber lecture, e-Learning, etc. Due to these products, systems for computer based teaching and evaluating student's achievement are wide spread. But in many systems we can find functional restrictions. In this paper we propose a RTE system offering interactive self control mode based education so as to provide customized education for each individual by realtime feedback of the level of the student's comprehension we expect that this system provides customized education environment considering student's achievement level and maximizes their motivation.

Design Strategy for Improving the Effect of Educational Contents for Public Institutions (공공기관 교육용 콘텐츠의 학습효과 증진을 위한 디자인 전략)

  • Park, Sung-Euk
    • The Journal of the Korea Contents Association
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    • v.10 no.3
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    • pp.444-453
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    • 2010
  • The Knowledge and information are rapidly built through networks; and, through this, epochal changes and developments are reoccurring in diverse societal economic cultural ways. Especially, digital-education emerging together with educational environment changes is taking its place as an educational system which will be able to replace traditional education methods by overcoming the limitations of time and space held by present education methods. The role of GUI(Graphic User Interface) design, which adds user cognitive power and convenience as a method of purveying innumerous information, is growing. Consequently in this research, through the analysis of educational contents utilized in public organizations, research is performed regarding an educational content design for a more effective education of learners.

Developing the Total Quality Management System of Teaching and Learning Materials (교수·학습자료 질 관리 시스템의 개발)

  • Kang, Shin-Cheon
    • The Journal of Korean Association of Computer Education
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    • v.7 no.4
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    • pp.121-129
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    • 2004
  • If we followed to be based on the result of survey for researching on the actual condition about e-Learning of the MOE(2004), the critical problem has been suggested managing the quality of teaching and learning materials(37.68%(1775/4717)). If we also reviewed the research of the KICE(2002), the superior material's rate of 70,000 teaching and learning materials of the web site, the educational organization, and teachers was 8.7%. There was some suggestions about the quality problem of the teaching and learning material, but there wasn't the alternative policy: there wasn't the systemic program for managing the message quality of teaching and learning materials. The purpose of this study was to develop the alternative system for managing the message quality of teaching and learning materials. The alternative system of this study's result will be the basic to build the system for managing the message quality of teaching and learning materials. I expect that my system will be the useful tool for managing the message quality of teaching and learning materials.

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Research on Robust Face Recognition against Lighting Variation using CNN (CNN을 적용한 조명변화에 강인한 얼굴인식 연구)

  • Kim, Yeon-Ho;Park, Sung-Wook;Kim, Do-Yeon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.2
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    • pp.325-330
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    • 2017
  • Face recognition technology has been studied for decades and is being used in various areas such as security, entertainment, and mobile services. The main problem with face recognition technology is that the recognition rate is significantly reduced depending on the environmental factors such as brightness, illumination angle, and image rotation. Therefore, in this paper, we propose a robust face recognition against lighting variation using CNN which has been recently re-evaluated with the development of computer hardware and algorithms capable of processing a large amount of computation. For performance verification, PCA, LBP, and DCT algorithms were compared with the conventional face recognition algorithms. The recognition was improved by 9.82%, 11.6%, and 4.54%, respectively. Also, the recognition improvement of 5.24% was recorded in the comparison of the face recognition research result using the existing neural network, and the final recognition rate was 99.25%.

A Study on Bridging the Digital Divide of K-12 Students of Multicultural Background (다문화가정 초중등학생을 위한 정보격차해소 방안 연구)

  • Lee, June
    • The Journal of Korean Association of Computer Education
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    • v.12 no.6
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    • pp.41-51
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    • 2009
  • The purpose of this study was to suggest policy implications for bridging digital divide of the students of multicultural background. Specifically, through maximizing equity of Information technology, the current study suggested the need for greater intervention and comprehensive strategies in the interests of a socially inclusive information society, of benefit to the IT disadvantaged. To achieve the research goal, I reviewed a variety of policy reports and previous studies related to the issue of digital divide and multicultural education, and draw useful implications for the policy change. The major research results were as the following: a policy change in a support of personal computer toward public place rather than individual home, widening use of e-learning service as a tool for bridging the digital divide, and the training for teachers and parents to provide an effective education to reduce the digital divide.

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The Role and Prospect of Smart Platform in Disaster Management (재난관리 분야에서 스마트 플랫폼의 역할과 전망)

  • Lee, Dong-Hoon;Kim, Soo-Dong;Choi, In-Sang;Ki, Gi-Hyeon
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2017.11a
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    • pp.260-261
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    • 2017
  • 최근 사회구조의 복잡화, 산업구조의 다변화, 기후변화 등에 의해 자연재해 및 산업재해, 도시재난이 급증하고, 그 규모 또한 대형화하고 있다. 이로 인해 에너지, 통신, 교통, 금융 등 공공 인프라의 피해가 급증하면서 작은 재해도 큰 재난으로 변하는 예가 늘어나고 있다. 한편 현대사회에 대한 IT의 관여도가 급속도로 늘어나면서 IT 서비스의 궁극적인 형태이자, 모든 산업을 수용하는 개념의 플랫폼(Platform)이 IT를 넘어서 글로벌 사회의 절대적 지배자로 등장했다. 또한 전 세계 유저들의 관점에서 보면 개개인들이 손에 든 스마트폰이 생활의 모든 분야에 걸쳐 소통, 정보, 쇼핑, 제보, 오락 등 모든 활동의 수단으로 절대적 가치를 창출하고 있다. 이는 스마트폰이 가진 스마트 데이터 생산 및 공유 기능에서 비롯된다. 이처럼 스마트 데이터를 기반으로 한 IT플랫폼이 중요한 위치를 점하지만, 아직 재난관리 분야에서 이를 본격적으로 도입, 활용하지 못하고 있다는 점은 큰 문제이다. 국내의 사정을 보면 다행히 벤처기업들을 중심으로 이 같은 플랫폼 구축 움직임이 시작되었으며, 여기에 활용될 데이터 자원을 창출할 수 있는 솔루션 및 특허기술들 역시 속속 등장하고 있다. 시민들이 재난현장을 스마트폰으로 실시간 공유하면 이 스마트 데이터들이 이미지 및 음향정보, 위치기반(GPS)정보, 시각정보, 3D정보, 빅데이터 정보, 센서정보 등으로 분류되어 플랫폼 안에서 인공지능(AI) 딥러닝 방식에 의해 분석되고, 이를 즉시 재난당국 및 시민들에게 재난긴급문자 등 자동으로 경보로 전해주는 것이 이 플랫폼의 핵심 기능이다. 몇몇 벤처기업이 보유한 특허기술을 기반으로 공공자본이 투입되어 이러한 플랫폼이 구축될 경우 국내 재난관리 수준의 획기적 발전은 물론 전 세계를 시장으로 한 플랫폼 수출 또는 글로벌 재난정보 수집능력에서도 엄청난 힘을 발휘할 것으로 기대된다.

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English Conversation System Using Artificial Intelligent of based on Virtual Reality (가상현실 기반의 인공지능 영어회화 시스템)

  • Cheon, EunYoung
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.55-61
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    • 2019
  • In order to realize foreign language education, various existing educational media have been provided, but there are disadvantages in that the cost of the parish and the media program is high and the real-time responsiveness is poor. In this paper, we propose an artificial intelligence English conversation system based on VR and speech recognition. We used Google CardBoard VR and Google Speech API to build the system and developed artificial intelligence algorithms for providing virtual reality environment and talking. In the proposed speech recognition server system, the sentences spoken by the user can be divided into word units and compared with the data words stored in the database to provide the highest probability. Users can communicate with and respond to people in virtual reality. The function provided by the conversation is independent of the contextual conversations and themes, and the conversations with the AI assistant are implemented in real time so that the user system can be checked in real time. It is expected to contribute to the expansion of virtual education contents service related to the Fourth Industrial Revolution through the system combining the virtual reality and the voice recognition function proposed in this paper.

Development of interactive children's museum contents for online-offline experience and research on satisfaction level (온·오프라인 연계 체험형 어린이 박물관 콘텐츠 개발 및 만족도 조사 연구)

  • LEE, JI-EUN;LEE, SANG-WON
    • Journal of Digital Convergence
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    • v.19 no.9
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    • pp.59-65
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    • 2021
  • This study intends to find a positive effect on the learning of elementary school students by developing the exhibition contents of on-offline museum. This on-offline museum contents were combined with existing exhibit types and direct experience elements, and the theory of [blended learning]. Through this study, analyzing the limitations of existing online museum and finding with experiment to see if the new contents had a learning effect compared to the existing online museum. As a result of the experimental study, the content with a [direct experience] was counted as a high satisfaction and frequency index, and the [play] and [experience] type of direct experience contents showed higher satisfaction than the indirect experience type contents. Through this study, we want to provide new implications and development possibilities in the development of contents that online museums can provide, and to promote various effects on children's education.

Natural Language Processing-based Personalized Twitter Recommendation System (자연어 처리 기반 맞춤형 트윗 추천 시스템)

  • Lee, Hyeon-Chang;Yu, Dong-Pil;Jung, Ga-Bin;Nam, Yong-Wook;Kim, Yong-Hyuk
    • Journal of the Korea Convergence Society
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    • v.9 no.12
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    • pp.39-45
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    • 2018
  • Twitter users use 'Following', 'Retweet' and so on to find tweets that they are interested in. However, it is difficult for users to find tweets that are of interest to them on Twitter, which has more than 300 million users. In this paper, we developed a customized tweet recommendation system to resolve it. First, we gather current trends to collect tweets that are worth recommending to users and popular tweets that talk about trends. Later, to analyze users and recommend customized tweets, the users' tweets and the collected tweets are categorized. Finally, using Web service, we recommend tweets that match with user categorization and users whose interests match. Consequentially, we recommended 67.2% of proper tweet.

A Study on the Development of Block Type Smart Classroom under the Educational Conditions in Africa (아프리카 지역의 교육 여건에 따른 블록형 스마트 교실 구축방안 연구)

  • Choi, Jong Chon;No, In-Ho;Yoo, Gab-Sang
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.227-234
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    • 2019
  • The purpose of this study is to present a block type smart classroom model for comprehensive supply of educational contents, classroom environment and ICT technology in African countries where educational infrastructure is weak. It will provide a contextual solution that integrates learning management, power management, and classroom environment management systems, and will be a convergence model that can optimize economic and non-economic conditions for different African countries. It can be expected to enhance utilization as it is a differentiated model from existing classrooms with a single container, as well as independent research and development centered on services, content, and solutions. Through this integrated research process, we can overcome the spatial and functional limitations appearing in single container classrooms and build a flexible space for advanced e-learning technology. The depth and scope of the follow-up study can be carried by investigating the performance and models that are in line with the educational and infrastructure conditions of the various regions.