• 제목/요약/키워드: knowledge-based

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

  • 황혜정
    • 한국수학교육학회지시리즈E:수학교육논문집
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    • 제34권4호
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    • pp.507-523
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    • 2020
  • 실천적 지식은 교사의 교육 활동을 일관성 있게 해주고 교사가 자신이 처한 교육 상황에서 반복적으로 꺼내 쓸 수 있다는 점에서 교사의 전문성과도 무관하지 않으며, 실천적 지식은 오직 교사들이 실천하는 과정 중에 드러나는 암묵적인 특징을 가지고 있다(신태현, 정광순, 2017). 그런데, 이로 인하여 교사의 수업 전문성은 따로 평가되기 어려우며 교사 자신이 전문성 판단의 주체가 됨을 인식해야 한다고 한다(정나라, 2015). 따라서 교사의 실천적 지식은 교사 전문성과 수업의 질과 직결될 수 있으므로 이에 관심을 가질 필요가 있다. 이러한 취지 하에. 본 연구에서는 교사 전문성의 핵심 영역인 수업과 관련된 일련의 활동에 대하여 교사 자신의 자기평가 또는 동료 평가 방법에 따라 측정 가능한 수학 수업의 평가 기준을 마련하되, 앞서 언급한 교사의 실천적 지식을 반영한 기준을 개발하고자 한다.

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

  • 정인수;김승균;조문영
    • 한국건설관리학회논문집
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    • 제2권1호
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    • pp.68-77
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    • 2001
  • 건설교통부는 지식기반 경영을 통한 건설산업의 고부가가치화를 위하여 $\lceil$건설산업의 지식기반 구축$\rfloor$을 제시하였다. 그러나 여러 주체들(정부, 연구소/대학, 기업 등)이 지식관리를 추진하기 위한 가이드라인이 없어서 건설산업의 지식관리체계 구현에 걸림돌이 되고 있다. 연구의 목표는 3005년 건설CALS/EC 구현과 함께 건설산업의 지식포털을 구축하기 위하여 건설산업 각 주체(정부, 연구소/대학, 건설업체 등)가 지식활동을 원활하게 할 수 있는 역할을 제시하는 것이다. 이 목표를 달성하기 위하여 지식관리와 관련된 현황분석, 건설산업 지식관리 구현방향 제시, 건설산업 지식관리체계 구현을 위한 추진전략을 도출하였다. 연구의 결과로 건설산업 지식관리체계의 추진전략을 수립하여 전략을 달성하기 위한 각 주체(정부, 연구소/대학, 건설업체)의 역할을 제시하였다. 이 연구의 결과는 건설산업을 고부가가치 산업으로 선도할 지식관리체계 구현과 지식포털 구축을 위하여 건설산업의 각 주체들이 실천할 수 있는 유용한 매뉴얼이 될 것이다.

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

  • 이재남
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 추계학술대회-지능형 정보기술과 미래조직 Information Technology and Future Organization
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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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효과적 지식경영을 위한 사람 혹은 시스템 중심 지식경영 전략: 이벤트연구 방법론을 기반으로 (Human or System Strategy for Effective Knowledge Management: Based on the Event Study Methodology)

  • 최병구
    • Asia pacific journal of information systems
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    • 제14권3호
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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.

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

  • 박지성;채희선
    • 지식경영연구
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    • 제18권4호
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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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    • 제1권2호
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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
    • 한국지구과학회지
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    • 제32권5호
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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.

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

  • 조인수;박희준
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 2008년도 연합학회학술대회
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    • pp.307-320
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    • 2008
  • 본 연구는 관계중심적 지식관의 관점에서 지식공유의 영향 요인을 파악하고, 이 요인들이 실제로 지식공유에 긍정적인 영향을 미쳐서 지식성과활동을 향상 시키는지 알아보고자 한다. 독립변수인 관계적 요인은 신뢰, 개방적 의사소통, 협동으로 설정하였고, 지식공유의 영향을 받는 종속 변수인 지식활동성과는 지식품질과 지식경영사용자만족도로 설정하였다. 본 연구를 통해 조직경쟁력 향상을 위해서는 지식뿐만 아니라 그것을 사용하는 사람 및 주변 환경까지 관리할 필요가 있음을 제안한다.

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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
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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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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    • 제1권2호
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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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