• The Journal of Korean Association of Computer Education
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• v.5 no.2
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• pp.29-37
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• 2002

The purpose of this study is to examine the effects of the level of background knowledge and the metacognition supporting tool (MST) on the learning activities and outcomes in a web problem based learning environment from the theoretical perspectives of PBL (problem-based-learning) in the Web and metacognition. Results suggest that the level of learners' background knowledge could play a slight role in problem oriented learning activities. This was because learning tasks were characterized by ill-structured problems in Web-based problem learning and this sort of learning might have been a somewhat newer experience for the selected students. Providing MST for learners' PBL activities, however, was highly beneficial for learners who practice PBL in Web based learning environments. In addition, for PBL outcomes, variables like problem solution reporting documents. the use of MST had a more positive effect on the lower level learners' background knowledge than the higher level learners'.

• Asia Marketing Journal
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• v.1 no.4
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• pp.47-75
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• 1999

지식사회, 지식경제의 등장과 더불어 기업의 자원으로서 지식(knowledge)의 중요성이 부각됨에 따라 마케팅 전략의 한 분야로서의 신제품 전략에서도 신제품 개발과정에 있어 기업(혹은 신제품 개발 팀)의 지식과 지식의 활용 능력을 어떻게 확장할 것인가가 중요한 전략적 이슈(issue)가 된다. 신제품 개발 과정에서는 필연적으로 불확실성-시장 불확실성과 기술 불확실성-이 존재하며 불확실성을 해소하기 위하여 정보와 지식의 중요성이 부각되고 기업내의 다양한 조직-특히 R&D, 생산, 마케팅-과의 지식공유·통합과정이 중요시된다. 이에 따라 본 연구는 첫째, 기업이 가지고 있는 지식을 제품으로 구체화하는 과정이 신제품 개발(New Product Development; NPD)과정이며 구체화 과정에서 개발의 효율성과 효과성을 어떻게 달성할 것인가에 관한 문제를 다루고자 한다. 둘째, 기존의 신제품 성과 요인으로 제시되고 있는 많은 요인들을 '지식역량(knowledge competence)'의 개념으로 정리하고 이러한 지식 역량과 신제품 경쟁우위 간의 인과적 관계를 살펴봄으로써 신제품 경쟁우위에 어떠한 영향을 미치는가에 대한 분석을 하고자 한다. 셋째 신제품 개발조직의 지식역량을 향상시키기 위한 전략적 방안을 제시하고자 한다. 이론적 배경으로 기업을 지식의 결집체로 인식하고 있는 지식거점관점(knowledge based perspective)과 이러한 지식자원의 활용에 초점을 맞춘 조직학습(organizational learning) 이론 그리고 심리학에서 다루고 있는 분산된 인지이론(distributed cognition theory)을 활용한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.211-211
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• 2004

최근 인터넷 비즈니스의 증가로 고객 수요를 정확하게 예측하여 적절한 상품을 추천하는 추천 시스템의 개발 및 사용이 활발해지고 있다. 현재의 추천 시스템은 주로 내용 기반 추천(Content based Filtering)과 협력적 추천(Collaborative Filtering)을 사용하고 있으나 이러한 추천 시스템으로는 추천의 이유나 배경의 설명이 곤란하며, 시시각각 변하는 사용자의 의도를 파악하고 적절하게 응답하기에는 부족한 면이 있다.(중략)

• Journal of Korean Library and Information Science Society
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• v.33 no.1
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• pp.169-192
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• 2002

Knowledge management(KM) is a concept that has emerged explosively in the business community as a major issue of the 1990s. In this paper, the background and definition of KM and some major issues such as central groups and themes dominating the field of KM are outlined In brief. In particular, a descriptive model is proposed integrating explicit knowledge, tacit knowlegde and the infrastructure, and its key characteristics are examined in detail. Also a few methods to build efficient KM systems(KMS) as well as some conventional practices in KMS, and the librarian's role in KMS realization are briefly introduced.

• Journal of the Korean earth science society
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• v.35 no.4
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• pp.277-289
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• 2014

The purpose of this study was to analyze the questions of earth science knowledge presented in elementary science textbooks. In group activities, The questions were created by preservice elementary teachers assuming that they were teaching the earth science knowledge in science education classes at university of education. Types, frequencies, and sources of the cognitive background knowledge of the questions were analyzed. The results demonstrated the followings. First, types, concentrations, and sources of the cognitive background knowledge of the questions were different depending on the domains of earth science. Specifically, in astronomy domain, the frequencies and concentrations of the questions showed different trends compared with other domains in its individual lessons. It suggests that instructional strategies that reflected the difference found in each lessons be appropriately designed and used. Second, it was found that 'schools' was the most dominant sources of the cognitive background. 'Friends' were also found to be very important sources, thus promoting students' interaction with their peers would become an important strategy in science teaching. It was also found that mass media such as 'internet' and 'TV' were roughly rated the same as 'schools' which illustrated that mass media could be utilized in science instruction. Third, since types, concentrations, and frequencies of the questions were diverse in the lessons of units, it is suggested that diverse instruction strategies also be taken into account as an educational approach in teaching the subjects in teacher education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.219-232
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• 2022

Empirical studies on entrepreneurial intentions have been conducted from various perspectives over the past few decades. The unemployment rate has increased as the global economy stagnates in the aftermath of the COVID-19 pandemic, and entrepreneurship is emerging as an alternative to job creation. Although numerous antecedent variables have positive effects on entrepreneurial intention, this study focuses on entrepreneurial self-efficacy as an individual factor and the entrepreneur's family background as an environmental factor. This study analyzed the survey results of 300 global respondents through the online survey platform Prolific. The respondents were screened by asking a question about having had entrepreneurial education. Since the effects of entrepreneurial self-efficacy on entrepreneurial intention have been proved in numerous domestic studies, this study aims to generalize these results by investigating global samples. The moderated mediation analysis was performed using PROCESS to verify the research hypotheses. This research investigated the effect of entrepreneurial knowledge acquisition on entrepreneurial intention via entrepreneurial self-efficacy and the moderated mediation effect of the family background of entrepreneurs. The results of this study are summarized as follows. First, acquisition of entrepreneurial knowledge had a positive effect on entrepreneurial intention. Second, entrepreneurial self-efficacy mediated the relationship between entrepreneurship knowledge acquisition and entrepreneurial intention. Third, the entrepreneurship family background moderated this relationship. Specifically, when the family entrepreneurship background is strong (vs. weak), the positive effect of entrepreneurial knowledge acquisition on entrepreneurial intention via entrepreneurial self-efficacy significantly increased. The implications of this study are as follows. First, in the process of preparing for a own business, entrepreneurial education is a necessary condition to improve the entrepreneurial intention. Second, the higher the level of acquisition of entrepreneurial knowledge, the more positive attitudes toward entrepreneurial intention can be induced. Third, strong family background of entrepreneurship further promotes entrepreneurship intention by increasing entrepreneurial self-efficacy. In conclusion, in order to revitalize entrepreneurship, it is important to provide various entrepreneurial education programs. These educational programs will be able to improve entrepreneurial self-efficacy by providing more opportunities for students to acquire entrepreneurial knowledge, and thereby promote entrepreneurial intention. In addition, it is important to develop and provide advanced educational curriculum for those who have start-up business experiences in their families.

• Patent21
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• s.55
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• pp.16-20
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• 2004

무형의 지식자산 창출에 더 의존하는 지식기반경제에서의 노벨 화학상의 중요성과 국가별 노벨 화학상 수상 통계를 살펴봄으로써 노벨상과 국가 경쟁력의 상관관계를 살피며, 3년 연속 노벨 과학상을 수상하게 된 일본의 과학기술에 대한 정책 방향과 2002년 노벨 화학상 수상자인 다나카의 수상 배경을 살펴봄으로써 우리나라의 국가경쟁력 발전 방안에 도움을 주는 시사점을 도출해 보고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.232-235
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• 2011

지식표현은 일반적으로 논리, 규칙, 프레임 또는 의미망 형태로 표현되며, 최근에는 의미망을 이용한 온톨로지 형태로 표현되고 있다. 이러한 지식표현 방법은 개념을 설명하는 문맥적인 정보나 개념들 간의 구조적인 정보를 이용하여 개념에 대한 지식을 논리적으로 표현하는데 중점을 두었다. 하지만, 지식표현에 사용되는 의미정보는 사람에 의해 수집되고 정제되기 때문에 많은 시간, 비용 및 인력이 필요하다는 한계가 있고, 새로운 의미를 추가하거나 기존의 의미를 수정하는 것이 매우 어렵다는 한계가 있다. 색채는 특정 대상이나 개념에 대한 의미, 연상, 상징 등 객관적인 특징 뿐 아니라 시대, 나라, 문화와 같은 사회적 배경을 반영하기 때문에, 정보를 제공하고 감성을 전달하는 효과적인 수단으로 사용되고 있다. 이에 본 논문은, 색채를 이용한 의미정보모델 구축을 위해, 색채정보를 수집하고 정량적으로 분석하는 방법을 제안한다. 긍정/부정/불안/중립으로 구성된 감성어휘 273개를 이용하여 이미지를 수집한 결과 총 130,944개의 이미지를 수집하였다. 이미지에는 여러 가지 사물, 행동, 배경, 색채 등 다양한 정보가 혼재되어 있어 감성어휘와 연관된 색채를 구별하기 어렵기 때문에 이미지를 직관적으로 설명할 수 있는 사용자 태그를 별도로 수집하였다. 태그는 총 2,836,395개를 수집하였고 각 이미지와 그룹에서의 가중치를 구하였다. 태그의 가중치를 통해 이미지가 그룹 내에서 갖는 중요도를 판별하였고, 각 그룹 별로 상위 30%의 이미지를 추출하여 대표 색채를 분석하였다.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.8 no.1
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• pp.3-8
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• 1980

• 발명특허
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• v.32 no.8 s.373
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• pp.40-42
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• 2007