• Title/Summary/Keyword: knowledge-based

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The Development of the Items on Mathematical Instructional Evaluation based on the Teacher's Practical Knowledge (교사의 실천적 지식을 반영한 수학 수업평가 기준 탐색)

  • Hwang, Hye Jeang
    • Communications of Mathematical Education
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    • v.34 no.4
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    • pp.507-523
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    • 2020
  • This study is to establish the items on instructional evaluation based on the teacher's practical knowledge in mathematics educations. Namely, this study deals with the items on how pre-service or in-service teachers reflect and revise their own or peer's class. To accomplish this, first of all the items on instructional evaluation was developed by researchers of this study on the basis of the results of two previous study. One is the literature of Elbaz(1981) and the other is the literature of Hwang(2013). Elbaz(1981) defined the definition of practical knowledge and five sub-domains of the practical knowledge. On the other hand, Hwang(2013) defined the teacher knowledge in mathematics education and four sub-domains of the teacher knowledge. According to these four domains, Hwang(2013) developed the items on the instructional evaluation in mathematics class. From now on, based on these two study, this study was to develop the items on the instructional evaluation involving the practical knowledge. Futhermore, the final and ideal items on the instruction would be established through the reflection and comments of professionals such as mathematics teachers, professors, and researchers.

Works for the Implementation of Knowledge Management Systems to the Construction Industry (건설산업의 지식관리체계 구현을 위한 주체별 역할)

  • Jung In-Su;Kim Seung-Kyun;Cho Moon-Young
    • Korean Journal of Construction Engineering and Management
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    • v.2 no.1 s.5
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    • pp.68-77
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    • 2001
  • MOCT(Ministry of Construction & Transportation) suggested 'A Plan for Implementation of Knowledge-based Economy for the Construction Industry' to add high value to the construction industry by means of knowledge-based management techniques. However, there are no guidelines which help the bodies of the construction industry(government, research center / university, enterprise, etc) with doing a knowledge management. So it is difficult to implement the knowledge management systems for the construction industry. To establish the knowledge portal for the construction industry, the objective of this study is to present works, which help the bodies of the construction Industry(government, research center/university, enterprise, etc) with doing knowledge activities efficiently. To accomplish this objective, we analyzed the overall knowledge management activities. And we suggested an implementing direction of the knowledge management systems for the construction industry and a strategy for implementing the knowledge management systems in the construction industry. As results of this study, we established a strategy of knowledge management and works of the bodies of the construction industry(government, research center / university, enterprise, etc) We expect that the results of this study will be used as a manual of the bodies of the construction industry for implementing knowledge management systems and the knowledge portal that brings the construction industry to high value added industry.

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Organizational Knowledge Acquisition: A Fuzzy GSS Framework (조직의 지식 획득: 퍼지 GSS 프레임웍)

  • 이재남
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 1999.10a
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    • pp.111-120
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    • 1999
  • Although the concept of viewing knowledge as a critical resource has been widely accepted in prior studies, it is not fully understood how to acquire available knowledge in order to improve organizational effectiveness. However, it si sure that organizational knowledge management should pursuit the achievement of the business goal by delivering relevant and useful information to the right person at the right time. Group Support System (GSS) can play an important role to transfer scatter information into meaningful business knowledge for supporting strategic corporate decision-making. This study proposes a fuzzy GSS framework for acquiring workgroup knowledge from individual memory and aggregating workgroup knowledge to organizational knowledge. This study also proposes an architecture to support the fuzzy GSS framework. The architecture consists of user agents, information management agents, and a fuzzy model manager. To illustrate how the fuzzy GSS framework can be used to support the whole process of organization knowledge acquisition, an Internet-based GSS was developed and applied in a marketing decision process. It showed that the framework was effective for acquiring organizational knowledge.

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Human or System Strategy for Effective Knowledge Management: Based on the Event Study Methodology (효과적 지식경영을 위한 사람 혹은 시스템 중심 지식경영 전략: 이벤트연구 방법론을 기반으로)

  • Choi, Byoung-Gu
    • Asia pacific journal of information systems
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    • v.14 no.3
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    • pp.57-75
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    • 2004
  • The knowledge management is increasingly an important strategic weapon for sustaining competitive advantage of firms. Firms are undertaking knowledge management initiatives and making significant investments. However, there is relatively little empirical support for the impact of knowledge management on performance of firms. Understanding of the impact of knowledge management, this paper explores how knowledge management strategy influences firms' market value. We examine this issue using event study methodology and evaluate the cumulative abnormal returns for knowledge management strategy announced by firms from 1998 to 2002. The results show that firms' announcements of knowledge management strategy are positively related with firms' market value. Specially, dynamic style-which emphasizes both (i) knowledge reusability through information technologies and (ii) knowledge sharing through informal discussions among employees-has higher performance. This outcome presents empirical support to argument that the emphasis on both tacit and explicit knowledge results in better market value.

Proactive Personality and Knowledge Sharing: The Contrasting Effects of Leader-Member Exchange Social Comparison (LMXSC) (주도적 성격과 지식 공유: LMXSC의 상반된 조절효과 검증)

  • Park, Jisung;Chae, Heesun
    • Knowledge Management Research
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    • v.18 no.4
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    • pp.119-136
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    • 2017
  • This paper focuses on proactive personality as one of the main personality traits relevant to knowledge sharing and examines how this personal trait influences knowledge sharing behavior. Moreover, in order to consider the interactive effect between proactive personality and a contextual factor, this study utilized the construct of LMXSC which can reveal restoration of resource losses due to knowledge sharing. Because LMXSC can have opposite directions depending on used theories, this study investigates how LMXSC moderates the relationship between proactive personality and knowledge sharing behavior by using conservation of resources theory and trait activation theory. This study tests hypotheses with the data of supervisor-employee dyads in various industries. An empirical results showed that proactive personality increased knowledge sharing behavior and LMXSC strengthened the positive relationship between proactive personality and knowledge sharing behavior as conservation of resources theory predicts. Based on these theoretical arguments and empirical findings, this study suggests theoretical and practical implications, limitations, and the directions of future research.

Extracting Database Knowledge from Query Trees

  • 윤종필
    • Journal of Electrical Engineering and information Science
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    • v.1 no.2
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    • pp.146-146
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    • 1996
  • Although knowledge discovery is increasingly important in databases, the discovered knowledge sets may not be effectively used for application domains. It is partly because knowledge discovery does not take user's interests into account, and too many knowledge sets are discovered to handle efficiently. We believe that user's interests are conveyed by a query and if a nested query is concerned it may include a user's thought process. This paper describes a novel concept for discovering knowledge sets based on query processing. Knowledge discovery process is performed by: extracting features from databases, spanning features to generate range features, and constituting a knowledge set. The contributions of this paper include the following: (1) not only simple queries but also nested queries are considered to discover knowledge sets regarding user's interests and user's thought process, (2) not only positive examples (answer to a query) but also negative examples are considered to discover knowledge sets regarding database abstraction and database exceptions, and (3) finally, the discovered knowledge sets are quantified.

A Review of Teachers' Pedagogical Content Knowledge and Subject Matter Knowledge for Teaching Earth System Concepts

  • Roehrig, Gillian H.;Nam, Youn-Kyeong
    • Journal of the Korean earth science society
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    • v.32 no.5
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    • pp.494-503
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    • 2011
  • During the last three decades, earth science has been re-conceptualized as an interdisciplinary discipline entitled Earth System Science (ESS), which is based on knowledge of the physical earth system and human impact on the earth. While there is increasing effort to teach earth as a system in K-12 education, teachers' preparedness of to teach earth system is still in its infancy. This article focuses on reviewing the literature of teachers' knowledge of earth systems and of how teachers' knowledge of subject matter affects their teaching practice and pedagogical content knowledge (PCK). First, the study investigated a literature of PCK in general as well as in science teaching. Then this study duscuss what teachers' subject matter knowledge (SMK) is and what it means to be in teaching earth system science. Third, a literature of teachers' knowledge of earth system was reviewed. Finally, a number of suggestions and implications are made as to what teacher education program should do to better prepare future teachers to teach earth systems.

Study about the Influencing Factor of Knowledge Sharing to Improve a Knowledge Activity Performance (Focused On Related Factors) (지식활동성과 향상을 위한 지식공유의 영향요인에 대한 연구 (관계적 요인을 중심으로))

  • Cho, In-Su;Park, Hee-Jun
    • Proceedings of the Korea Database Society Conference
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    • 2008.05a
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    • pp.307-320
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    • 2008
  • This study finds out the influence factor of knowledge sharing based on the viewpoint of the relationship central knowledge and inquires out the relationship between knowledge sharing and a knowledge activity performance. The related factor is set trust, openness communication and cooperation as independent variables. And the knowledge activity performance is set knowledge quality and user knowledge satisfaction as dependent variables which are influenced by knowledge sharing. This study proposes that to improve the organizational performance needs to manage not only knowledge, but also the users and surroundings.

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BETTER INPUTS FOR KNOWLEDGE MANAGEMENT INFORMATION SYSTEMS: KNOWLEDGE SHARING MODELING AND THE INCENTIVES SYSTEM DESIGN

  • S. Ping Ho;Yaowen Hsu;Szu-Wei Lo
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.564-568
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    • 2005
  • Recently, Knowledge Management (KM) has been applied to construction industry. Surprising, there is few studies that address the most fundamental problem in KM: people may prefer not to share their knowledge so as to preserve their intellectual or unique values in the organization. Without the premise of each individual's willingness to share knowledge, there will be no valuable input for the IT system and, thus, no knowledge management at all. This paper aims to model the behavioral dynamics of knowledge sharing and to design an incentive system that may facilitate knowledge sharing for construction companies. In this paper, a game-theory based model will be developed, and the framework for designing an incentive system will be proposed according to the model.

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Extracting Database Knowledge from Query Trees

  • Yoon, Jongpil
    • Journal of Electrical Engineering and information Science
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    • v.1 no.2
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    • pp.145-156
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    • 1996
  • Although knowledge discovery is increasingly important in databases, the discovered knowledge sets may not be effectively used for application domains. It is partly because knowledge discovery does not take user's interests into account, and too many knowledge sets are discovered to handle efficiently. We believe that user's interests are conveyed by a query and if a nested query is concerned it may include a user's thought process. This paper describes a novel concept for discovering knowledge sets based on query processing. Knowledge discovery process is performed by: extracting features from databases, spanning features to generate range features, and constituting a knowledge set. The contributions of this paper include the following: (1) not only simple queries but also nested queries are considered to discover knowledge sets regarding user's interests and user's thought process, (2) not only positive examples (answer to a query) but also negative examples are considered to discover knowledge sets regarding database abstraction and database exceptions, and (3) finally, the discovered knowledge sets are quantified.

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