• 한국지구과학회지
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• 제30권3호
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• pp.330-343
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• 2009

교과교육학지식(PCK)은 과학 교사의 전문성을 나타내는 지표로 인식되어 왔다. 이 연구에서는 예비 교사와 현직 교사의 주제-특정적 PCK를 비교 분석하였다. 이를 위해 과학 교사들의 PCK를 명시적으로 드러낼 수 있는 분석틀을 개발 및 적용하여 예비 및 현직 지구과학 교사를 대상으로 동일 주제에 대한 PCK 차이를 분석하였으며, 서로 다른 2개 주제에 대한 PCK가 어떻게 달라지는지를 각각 분석하였다. 연구 결과, 동일 주제에 대한 예비 교사와 현직 지구과학 교사의 PCK는 구성 요소에 따라 큰 차이가 있음을 알 수 있었다. 서로 다른 주제에 대한 PCK의 변화는 경향성을 나타내지는 않았으나, 구성 요소 및 교사에 따라 매우 큰 차이를 나타내었다. 이 연구를 통해 PCK의 주제-특정성을 확인하였으며, 과학 교사의 수업 전문성 개발 및 평가에 PCK분석틀 및 프로파일의 활용가능성에 대해 논의하였다.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.437-443
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• 2013

Recently, sustainable building design, a growing field within architectural design, has been emerged in the construction industry as the practice of designing, constructing, and operating facilities in such a manner that their environmental impact, which has become a great concern of construction professionals, can be minimized. A number of different green rating systems have been developed to help assess that a building project is designed and built using strategies intended to minimize or eliminate its impact on the environment. In the United States, the widely accepted national standards for sustainable building design are known as the LEED (Leadership in Energy and Environmental Design) Green Building Rating System. The assessment of sustainability using the LEED green rating system is a challenging and time-consuming work due to its complicated process. In effect, the LEED green rating system awards points for satisfying specified green building criteria into five major categories: sustainable sites, water efficiency, energy and atmosphere, materials and resources, and indoor environmental quality; and sustainability of a project is rated by accumulating scores (100 points maximum) from these five major categories. The sustainability rating process could be accelerated and facilitated by using computer technology such as BIM (Building Information Modeling), an innovative new approach to building design, engineering, and construction management that has been widely used in the construction industry. BIM is defined as a model-based technology linked with a database of project information, which can be accessed, manipulated, and retrieved for construction estimating, scheduling, project management, as well as sustainability rating. This paper will present a framework representing the building knowledge contained in the LEED green building criteria. The proposed building knowledge framework will be implemented into a BIM platform (e.g. Autodesk Revit Architecture) in which sustainability rating of a building design can be automatically performed. The development of the automated sustainability rating system and the results of its implementation will be discussed.

• 한국경영과학회지
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• 제16권2호
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• pp.33-33
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• 1991

The management of enterprise knowledge has been increasingly important because knowledge emerges as the new basis of competition in postcapitalist society. One of the key issues in knowledge management is to put knowledge into a repository where it can be easily stored, reused, and recreated. This paper proposes a model repository and the corresponding knowledge management framework. The emphases of model repository is on abstraction knowledge in the form of schematic models. Two major benefits are model independence and model integration. A metaschema is constructed according to six conceptual components: separate unit, external link, internal link, separate unite descriptor, link descriptor, and composite descriptor, which can be applied for a variety of models. A prototype system with a case illustrates the practical usefulness of model repository for knowledge management

• 경영과학
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• 제16권2호
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• pp.33-49
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• 1999

The management of enterprise knowledge has been increasingly important because knowledge emerges as the new basis of competition in postcapitalist society. One of the key issues in knowledge management is to put knowledge into a repository where it can be easily stored, reused, and recreated. This paper proposes a model repository and the corresponding knowledge management framework. The emphases of model repository is on abstraction knowledge in the form of schematic models. Two major benefits are model independence and model integration. A metaschema is constructed according to six conceptual components: separate unit, external link, internal link, separate unite descriptor, link descriptor, and composite descriptor, which can be applied for a variety of models. A prototype system with a case illustrates the practical usefulness of model repository for knowledge management.

• 한국CDE학회논문집
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• 제16권3호
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• pp.167-177
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• 2011

This paper describes an ontology-based intelligent CAD system for injection mold design, which has been developed based on a commercial CAD system called Unigraphics and an ontological framework for representing the implicit design knowledge as well as the explicit based on the extended function-behavior-structure (FBS) engineering design model that includes the constraint. The system also provides various convenient solid modeling capabilities for mold design and the design process modeling capability that facilitates mold redesign process.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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• pp.129-132
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• 1996

In this paper, we suggest a framework to represent the fuzziness in knowledge base as a perspective of the object-oriented paradigm. We divide the knowledge base in two parts. One is the object-base that stores the fuzzy propositions and the explanatory databases. The other is the rule-base that manages the rules between the fuzzy propositions. As the first step, we have to develop a new fuzzy object model that gives an easy way to represent the fuzzy propositions, that is, the fuzzy knowledge in the real world.

• 한국CDE학회논문집
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• 제10권5호
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• pp.349-355
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• 2005

This paper concerns about how and why design frameworks for optimization should consider various software development environments such as MATLAB, VB, VBscript, Python, Tcl, PHP, Perl, and JAVA. The frameworks can be utilized by many engineers who have a basic concept about the optimization theory and/or basic knowledge about the computer programming languages. The framework will integrate a number of remote CAE tools, automatically execute them for design optimization, and have the capabilities of post-processing of data such as objective functions, state variables and design variables using a third-party spreadsheet program like Excel. The prototype framework developed in this study will be applied to various examples of optimization problems and show the validity of the proposed method of a framework implemenation.

• 한국문헌정보학회지
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• 제40권1호
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• pp.397-416
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• 2006

이 글은 지식기반 사회의 역동적 엔진으로서 다양한 유형의 지식을 제공할 수 있는 통합형 지식체계의 구현을 도서관의 기본 역할로 보고, 이를 위한 지식관리 모형을 지식생태학 관점을 통해 제시한 것이다. 지식생태학 관점에서 접근한 지식관리는 지식생태계를 구성하는 사회적 요소간의 상호작용을 통해 성장하는 유기체로서 활동하는 도서관의 논리적 물리적 역할을 의미한다. 도서관은 지식생태계의 구심점으로서 지식조정자 역할을 담당하는 정보전문가를 통해 지식생산자가 지식을 제대로 생산 배포할 수 있도록 지원하고. 적절한 지식이 지식소비자에게 적시에 전달되고 재생산되는 선순환 체계를 주도해 감으로써 지식생태계를 활성화하는 지식관리 체계를 구현하여야 한다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제3권10호
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• pp.397-406
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• 2014

미국의 Jeopardy! 퀴즈쇼와 같은 DeepQA 환경에서 인간을 대신해 컴퓨터가 효과적으로 답하기 위해서는, 광범위한 지식베이스와 빠른 시공간 추론 능력이 요구된다. 본 논문에서는 대표적인 병렬 분산 컴퓨팅 환경인 맵리듀스 프레임워크를 이용해, 새로운 방향 및 위상 관계를 효율적으로 추론할 수 있는 대용량 공간 추론 알고리즘을 제시한다. 이 추론 알고리즘은 CSD-9 방향 관계들과 RCC-8 위상 관계들을 포함한 대용량 공간 지식베이스를 입력으로 가정하며, 이로부터 새로운 방향 관계와 위상 관계들을 추론해내기 위해 지식베이스에 대한 경로 일관성 검사와 교차 일관성 검사를 수행한다. 맵리듀스 프레임워크의 원리에 따라 추론 계산의 병렬성을 극대화하기 위해, 맵 단계에서는 대용량의 지식베이스를 다수의 노드들에 효과적으로 분할하여 분산시키고, 리듀스 단계에서는 분산된 지식베이스들로부터 새로운 공간 지식을 유도하도록 공간 추론 알고리즘을 설계하였다. 본 연구에서는 맵리듀스 프레임워크로 구현한 대용량 공간 추론기와 샘플 공간 지식 베이스를 이용한 실험들을 수행하고, 이를 통해 본 논문에서 제안한 대용량 공간 추론기의 높은 성능을 확인할 수 있었다.

• 인터넷정보학회논문지
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• 제24권4호
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• pp.37-45
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• 2023

Adaptive has gained significant attention in Education Technology (EdTech), with personalized learning experiences becoming increasingly important. Next-generation chatbots, including models like ChatGPT, are emerging in the field of education. These advanced tools show great potential for delivering personalized and adaptive learning experiences. This paper reviews previous research on adaptive learning and the role of chatbots in education. Based on this, the paper explores current and future chatbot technologies to propose a framework for using ChatGPT or similar chatbots in adaptive learning. The framework includes personalized design, targeted resources and feedback, multi-turn dialogue models, reinforcement learning, and fine-tuning. The proposed framework also considers learning attributes such as age, gender, cognitive ability, prior knowledge, pacing, level of questions, interaction strategies, and learner control. However, the proposed framework has yet to be evaluated for its usability or effectiveness in practice, and the applicability of the framework may vary depending on the specific field of study. Through proposing this framework, we hope to encourage learners to more actively leverage current technologies, and likewise, inspire educators to integrate these technologies more proactively into their curricula. Future research should evaluate the proposed framework through actual implementation and explore how it can be adapted to different domains of study to provide a more comprehensive understanding of its potential applications in adaptive learning.