• Title/Summary/Keyword: distance teaming

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An Empirical Study on Critical Success Factors in Implementing the Web-Based Distance Learning System : In Case of Public Organization. (사이버교육 효과의 영향요인에 관한 실증적 연구: 공공조직을 중심으로)

  • 정해용;김상훈
    • The Journal of Information Systems
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    • v.11 no.1
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    • pp.51-74
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    • 2002
  • The purpose of this study is to empirically investigate critical success factors for effective implementation of web-based distance learning system. First of all, four critical success factors are theoretically derived from reviewing previous research. They are: (1) learner-related factor including the variables such as teaming ability, learning attitude, and attending motivation, (2) environmental factor including the variables of physical and mental support for learners, (3) instructional design factor represented by one variable, the degree of appropriateness of learning contents, and (4) the factor concerning the level of self-directed learning readiness embracing the variables such as curiosity for learning, openness towards challenge of learning and affection for learning. Subsequently, the relationships between these four critical success factors and the degree of learning satisfaction are empirically investigated. The data for empirical analysis of the research are collected from 1,020 respondents who have already passed the web-based distance learning courses which have been implemented in Information and Communication Officials Training Institute. Out of 1,020 responded questionnaires, 875 data were available for statistical analyses. The main results of this study are as follows. Firstly, the most important factor for successful implementation of the web-based distance learning system is shown to be the instructional design factor, and in the next place, the self-directed learning readiness factor, the environmental factor and the learner-related one in sequence. Secondly, additional analysis of the variables included in the instructional design factor shows that availability of practical information and knowledge is the most influencing variable, and next, interesting composition of contents, reasonable learning amount, optimal level of instruction, and understandable explanation are significantly important in the descending order. Lastly, among learning motivators, strong intention of acquiring business knowledges and skills is found to be the most important satisfier in the web-based distance learning. The theoretical contribution of this study is to derive a comprehensive model of critical success factors for implementing the web-based distance learning system. And, the practical implication of this study is to propose efficient and effective guidelines for developing and operating the web-based distance learning system in the various kinds of organizations.

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A Study on the Traffic Agent System Using Unicast Method and P2P (유니캐스트 방식과 P2P를 응용한 트래픽 에이전트 시스템에 관한 연구)

  • Kim Hyun-Ki;Kim Song-Young;Cho Dae-Jea
    • Journal of Korea Multimedia Society
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    • v.8 no.5
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    • pp.707-741
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    • 2005
  • In the multimedia streaming technology, the unicast method require additional cost by an increase traffic according to increase a number of users. The multicast method can solve this problem, but it don't have connection and control information of clients. Now, the most routers support only unicast. Also it has a problem with an exchange of service in other ISP. This paper proposes traffic agent system which is applied unicast and P2P(Peer to Peer) for distance video teaming to overcome this problem. The proposed system decrease the traffic of stream server by control agent, and cut down expenses of network. This system is tested under the distance video leaning using JMF and application software.

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New Testability Measure Based on Learning (학습 정보를 이용한 테스트 용이도 척도의 계산)

  • 김지호;배두현;송오영
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.41 no.5
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    • pp.81-90
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    • 2004
  • This paper presents new testability measure based on learning, which can be useful in the deterministic process of test pattern generation algorithms. This testability measure uses the structural information that are obtained by teaming. The proposed testability measure searches for test pattern that can early detect the conflict in case of the hardest decision problems. On the other hand in case of the easiest decision problem, it searches for test pattern that likely results in the least conflict. The proposed testability measure reduces CPU time to generate test pattern that accomplishes the same fault coverage as that of the distance-based measure.

A Study on the Development of the GIS Programs for the Online University (원격대학에서의 GIS 온라인 교육과정 개발에 관한 연구)

  • 서동조
    • Proceedings of the Korea Contents Association Conference
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    • 2003.11a
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    • pp.440-444
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    • 2003
  • It was investigated to find the concept of the distance teaming, its characteristics and components, and to present successful strategies for the development of the GIS(Geographic Information Systems) programs for the online university. The elements of these successful strategies would be as follows. The models considered for the educational environment and characteristics, relationships between professor and student, community constructions for sharing the educational information, various courses based on the level, and linkages among various GIS programs.

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A Study on the Storage Requirement and Incremental Learning of the k-NN Classifier (K_NN 분류기의 메모리 사용과 점진적 학습에 대한 연구)

  • 이형일;윤충화
    • The Journal of Information Technology
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    • v.1 no.1
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    • pp.65-84
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    • 1998
  • The MBR (Memory Based Reasoning) is a supervised learning method that utilizes the distances among the input and trained patterns in its classification, and is also called a distance based learning algorithm. The MBR is based on the k-NN classifier, in which teaming is performed by simply storing training patterns in the memory without any further processing. This paper proposes a new learning algorithm which is more efficient than the traditional k-NN classifier and has incremental learning capability, Furthermore, our proposed algorithm is insensitive to noisy patterns, and guarantees more efficient memory usage.

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A Study on Distance Relay of Transmission UPFC Using Artificial Neural Network (신경회로망을 이용한 UPFC가 연계된 송전선로의 거리계전기에 관한 연구)

  • Lee, Jun-Kyong;Park, Jeong-Ho;Lee, Seung-Hyuk;Kim, Jin-O
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.18 no.6
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    • pp.37-44
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    • 2004
  • This paper represents a new approach for the protective relay of power transmission lines using a Artificial Neural Network(ANN). A different fault m transmission lines need to be detected classified and located accurately and cleared as fast as possible. However, The protection range of the distance relay is always designed on the basis of fixed settings, and unfortunately these approach do not have the ability to adapt dynamically to the system operating condition. ANN is suitable for the adaptive relaying and the detection of complex faults. The backpropagation algerian based multi-layer protection is utilized for the teaming process. It allows to make control to various protection functions. As expected, the simulation result demonstrate that this approach is useful and satisfactory.

Assessment of Runout Distance of Debris using the Artificial Neural Network (인공신경망을 이용한 사태물질 이동거리 산정)

  • Seo Yong-Seok;Chae Byung-Gon;Kim Won-Young;Song Young-Suk
    • The Journal of Engineering Geology
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    • v.15 no.2 s.42
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    • pp.145-154
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    • 2005
  • This study conducted to develop an assessment method of runout distance of debris flow that is a major type of landslides in Korea. In order to accomplish the objectives, this study performed detailed field survey of runout distance and laboratory soil tests using 24 landslides over three pilot sites. Based on the data of the field survey and the laboratory tests, an assessment method of runout distance was suggested using the artificial neural network. The input data for the analysis of artificial neural network are change rate of slope angle, Permeability coefficient of in-situ soil, dry density, void ratio, volume of debris and the measured runout distance. The analyzed results using the artificial neural network show low error rate of inference distributing lower than $10\%$. Some cases have $5\%$ and $2\%$ of error rates of inferences. The results can be thought as excellent teaming rates. However, it is difficult to be accepted as excellent results if it is considered with the results derived using only 24 landslide data. Therefore, more landslide data should be surveyed and analyzed to increase the confidence in the assessment results.

Tree-Based Conversational Interface Supporting Efficient Presentation of Turn Relations (응답 관계의 효율적인 프레젠테이션을 지원하는 트리 기반 대화 인터페이스)

  • 김경덕
    • Journal of Korea Multimedia Society
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    • v.7 no.3
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    • pp.377-387
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    • 2004
  • This paper describes a tree-based conversational interface supporting efficient presentation of turn relations on online conversation. Most of conventional conversational interfaces are difficult to make use of formal conversation such as group meeting, decision-making, etc. due to very simplicity of a con versational interface and restriction of data structure of conversational messages. And a tree-based conversational interface supports formal conversation, but they are difficult to present turn relations because of jumpy display by locations of replied turns and distance between replied turns, etc. So this paper suggests a tree-based conversational interface to present efficiently turn relations using XML-based messages with merits of a text-based interface. The suggested conversational interface was implemented by using XML-, DOM, and JDK. And this paper showed that the conversational interface could be applied to conversation system using client- server architecture. Applications for the conversational interface are as follows: collaboration, distance teaming, online game, etc.

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A Study on LRS(Learning Reward System) using Educational Digital Contents (교육디지털컨텐츠를 활용한 학습보상시스템(LRS) 설계)

  • Chung, Charles;Park, Hwa-Jin;Cho, Sae-Hong
    • Journal of Digital Contents Society
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    • v.1 no.1
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    • pp.1-11
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    • 2000
  • A variety of educational digital contents are provided for both distance and on-line learning on the Internet recently. Especially, as edutainment fields are activated, fun-centered educational contents are improved so much. But it is still lack of high quality, which could lead a learner to study by himself without losing enjoyment for an appropriate duration (about $1{\sim}2$ years). A system, which enforces learning motivation for a learners positive learning, is demanded. This paper shows the planning and the implementation of learning Reward System (LRS) which is providing rewards a learner for achievement of the teaming object which is suggested by him (her) and his (her) mentors. LRS is aiming at enhancement of educational effects by providing both amusements and rewards employing edutainment contents.

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Design and Implementation of Genetic Test-Sheet-Generating Algorithm Considering Uniformity of Difficulty (난이도 균일성을 고려한 유전자 알고리즘 기반 평가지 생성 시스템의 설계 및 구현)

  • Song, Bong-Gi;Woo, Chong-Ho
    • Journal of Korea Multimedia Society
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    • v.10 no.7
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    • pp.912-922
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    • 2007
  • Evaluation of distance teaming systems needs a method that maintains a consistent level of difficulty for each test. In this paper, we propose a new algorithm for test sheet generation based on genetic algorithm. Unlike the existing methods that difficulty of each test item is assigned by tutors, in the proposed method, that can be adjusted by the result of the previous tests and the average difficulty of test sheet can be consistently reserved. We propose the new genetic operators to prevent duplications of test items in a test sheet and apply the adjusted difficulty of each test item. The result of simulation shows that difficulty of the test sheet generated by proposed method can be more regular than the random method and the simulated annealing method.

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