• Title/Summary/Keyword: Collaborative knowledge management system

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Application Prospects of Knowledge Awareness System for Supporting Collaborative Learning in Digital Textbook (디지털 교과서에서 협력 학습 지원을 위한 지식 인식 시스템의 적용 방안)

  • Kwon, Suk Jin;Sim, Hyeon Ae;Kwon, Sun Hwa
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.2
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    • pp.169-182
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    • 2010
  • The purpose of the study is to prospect the application of knowledge awareness system in the use of the digital textbook which is one of the main educational political projects based on the exploration of the awareness theory for the computer-supported collaborative learning. To do this, first, knowledge awareness theory for computer-supported collaborative learning (CSCL) as a rationale for digital textbook which supports the collaborative learning was introduced. Second, three functionalities of knowledge awareness systems were extracted by analyzing the representative knowledge awareness tools of CSCL environment. Third, application prospects of knowledge awareness system toward the development and utilization of digital textbook were presented. The paper suggested the need of more researches such as the prototype development of digital textbook which applies the knowledge awareness system's functionalities and empirical researches which examine their effectiveness and efficiency.

Design and Implementation of Collaborative Knowledge Management System for Collaborative Learning (협력학습을 위한 협력지식관리시스템의 설계 및 구현)

  • Han, Hee-Seop;Kim, Hyeoncheol
    • The Journal of Korean Association of Computer Education
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    • v.10 no.2
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    • pp.115-123
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    • 2007
  • Collaborative knowledge is continuously producted and modified by group individuals during collaboration and it is also fostered in a radical trust environment like Wiki. The example is Wikipedia. However I found out a big problem as difficulties of exploring when the knowledge space is extended more and more widely. To solve this problem, collaborative knowledge management systems are implemented based on wiki. The one is navigation map that supports the efficient exploring and the another is knowledge map that supports a convergent thinking in a group. In this study, we examined the effectiveness of navigation map and knowledge map.

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A Collaborative Knowledge Management in Wiki-based Project Learning (위키기반 프로젝트학습에서의 협력 지식 관리의 고찰)

  • Lee, Jin-Tae;Han, Seon-Kwan
    • Journal of The Korean Association of Information Education
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    • v.15 no.4
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    • pp.525-531
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    • 2011
  • This study is about the system for knowledge management in the Wiki-based project learning. We implement the Wiki-based project learning system which is focused on a new Web paradigm and technology development to grasp the knowledge flow of a learner effectively under a project learning condition. Implementation of the system has used a Web 2.0 technology to easily understand SECI Knowledge Management types which form the Externalization, Combination and Internalization steps. Moreover, the system structure has been designed instinctively for harmonious knowledge use or reuse. As a result of the experiment, we found out that the collaborative knowledge steps moved along the flow of project learning.

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Topic Modeling-based Book Recommendations Considering Online Purchase Behavior (온라인 구매 행태를 고려한 토픽 모델링 기반 도서 추천)

  • Jung, Youngjin;Cho, Yoonho
    • Knowledge Management Research
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    • v.18 no.4
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    • pp.97-118
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    • 2017
  • Thanks to the development of social media, general users become information and knowledge providers. But customers also feel difficulty to decide their purchases due to numerous information. Although recommender systems are trying to solve these information/knowledge overload problem, it may be asked whether they can honestly reflect customers' preferences. Especially, customers in book market consider contents of a book, recency, and price when they make a purchase. Therefore, in this study, we propose a methodology which can reflect these characteristics based on topic modeling and provide proper recommendations to customers in book market. Through experiments, our methodology shows higher performance than traditional collaborative filtering systems. Therefore, we expect that our book recommender system contributes the development of recommender systems studies and positively affect the customer satisfaction and management.

Development of Knowledge Process-based Product Development Engineering Collaboration System (II) : Process-based Application System (지식 프로세스 기반의 제품개발 엔지니어링 협업시스템 (II): 프로세스 기반 응용시스템)

  • Park J.H.;Kim S.J.;Park K.H.;Jang Y.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.599-600
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    • 2006
  • In order to promptly cope with the various requirements of consumers, the environment of product development is being globalized in manufacturing industrials. For this reason, it is necessary to build up an efficient collaborative system for communication between remote area designers. Specially, while Internet and information technologies were merged with the manufacturing or business process, the research for collaborative system has become an important issue. Therefore, we propose a Web-based Engineering Collaboration Framework using SPS(SharePoint Portal Server) which is an enterprise business solution that integrates information from various system into one solution through single sign-on and enterprise application integration capabilities, with flexible deployment options and management tool. Through a Web-based Engineering Collaboration Framework, designers can share knowledge assets and have a remote conference with others via web.

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A Study on Real-Time Collaborative Design System for powerful interaction performance (상호작용 기능이 강화된 실시간 협업 설계 시스템에 관한 연구)

  • 하영명;김현수;안대건;김호찬;정해도;이석희
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.1266-1269
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    • 2003
  • Many studies have indicated that most of a product's cost is fixed early in its lift cycle, before the original design cycle is complete. This implies that we should consider various aspects of product lift cycle at the design stage. This means the need of collaboration in design stage. Because the Internet provides instant access to a wealth of design information, the Internet is used by the collaborative design team members as a medium to share data, information and knowledge, and in some cases for product data management and project management by integrating the Web with appropriate technologies. This paper presents a real-time collaborative design system for powerful interaction performance, based on the Internet and Web technologies. Using The system use the client/server architecture and the purpose of the system is to provide a method that enables real-time view, review and modification of the 3D model through the Internet.

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A case study of collaborative learning implementation using open source Moodle learning management system - for collaborative learning promotion by users - (오픈소스 Moodle 학습관리시스템 기반의 협동학습 운영 사례에 관한 연구 - 사용자의 협동학습지원을 중심으로 -)

  • Lee, Jong-Ki
    • Journal of Service Research and Studies
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    • v.6 no.4
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    • pp.47-57
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    • 2016
  • Open source has an amazing spread with the advent of smartphones. Open-source Moodle in e-learning areas are free of LMS (Learning Management System) and the most widely used worldwide, except for the black board commercial programs. One reason is well designed to support collaborative learning and interaction based on constructivist principles, which is the core principle of e-learning in particular that the theoretical basis of educational technology has a high educational effectiveness and benefits. This study examines the operational practices of collaborative learning using open source learning management system Moodle program. It introduces specific information to support the user of the collaborative learning. It looks at the advantages and singularity of collaborative learning in e-learning through examples shown. The purpose of this study is the importance of the relationship between learners and the importance of self-learning of collaborative learning through collaborative learning in a knowledge repository of Moodle. In addition, collaborative learning outcomes are is based on the motivation of learners and playfulness.

Effectiveness of Adaptive Navigation System for Group Activity at the Wiki-based Collaborative Learning (Wiki 기반 협력학습에서 적응적 내비게이션 시스템이 그룹 활동에 미치는 효과)

  • Han, Hee-Seop;Kim, Hyeoncheol
    • The Journal of Korean Association of Computer Education
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    • v.9 no.1
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    • pp.41-48
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    • 2006
  • The latest several studies show that Wiki is a very efficient tools for collaborative learning in the distributed environments. Even though Wiki supports efficient knowledge sharing between group members, there are still some problems to be solved for collaborative learning. Since the structure of group contents becomes more complex and the links between pages are dynamically changed, each member of group has difficulties to perceive the changed contents and links on group pages. We designed the adaptive navigation system to guide individual browsing paths of each member through the calculating of friendship and the state of pages. At first we developed the relation model between member and each pages by the historical log that stored the change of pages and the activity of members, and then we implemented the adaptive navigation system using the model. Experimental results show that this adaptive system is very effective to share the group knowledge and to promote collaborative learning activities.

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The cluster-indexing collaborative filtering recommendation

  • Park, Tae-Hyup;Ingoo Han
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2003.05a
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    • pp.400-409
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    • 2003
  • Collaborative filtering (CF) recommendation is a knowledge sharing technology for distribution of opinions and facilitating contacts in network society between people with similar interests. The main concerns of the CF algorithm are about prediction accuracy, speed of response time, problem of data sparsity, and scalability. In general, the efforts of improving prediction algorithms and lessening response time are decoupled. We propose a three-step CF recommendation model which is composed of profiling, inferring, and predicting steps while considering prediction accuracy and computing speed simultaneously. This model combines a CF algorithm with two machine learning processes, SOM (Self-Organizing Map) and CBR (Case Based Reasoning) by changing an unsupervised clustering problem into a supervised user preference reasoning problem, which is a novel approach for the CF recommendation field. This paper demonstrates the utility of the CF recommendation based on SOM cluster-indexing CBR with validation against control algorithms through an open dataset of user preference.

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