• Journal of the Korean Home Economics Association
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• v.43 no.1 s.203
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• pp.1-15
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• 2005

The purpose of this study was to evaluate the propriety of various aspects of the 7th home economics science curriculum in high school. In this study, home economics education experts participated in a three-round Delphi survey. The findings of this study were as follows: First, the experts evaluated that the subject arrangement and title 'home economics science' were inadequate. Second, the experts evaluated that the characteristics of home economics science were similar to those in prior home economics curricula, and that the characteristics of the subject were also ambiguous. Third, the experts evaluated that the objectives of home economics science were too technically presented, and pointed out that the objectives are not distinct from those of prior home economics courses as they are too general and abstract. Fourth, the experts evaluated that the content of home economics science was deficient in its hierarchy and integration. Moreover, the contents do not sufficiently reflect the characters of the learners or their social demands. Fifth, the experts evaluated that the teaching/learning methods of home economics science were stated for the sake of formality only. Even though it provides many methods, it is not practical in the current educational situation. Sixth, the experts evaluated that although home economics science provides various methods of assessment, it has practical difficulties under current educational circumstances. Besides, the assessment methods failed to give concrete and objective standards.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.336-338
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• 2012

본 연구에서는 고차 데이터 분류를 위해 순차적 베이지만 샘플링 기반의 진화연산 기법을 이용한 하이퍼네트워크 모델의 학습 알고리즘을 제시한다. 제시하는 방법에서는 모델의 조건부 확률의 사후(posterior) 분포를 최대화하도록 학습이 진행된다. 이를 위해 사전(prior) 분포를 문제와 관련된 사전지식(prior knowledge) 및 모델 복잡도(model complexity)로 정의하고, 측정된 모델의 분류성능을 우도(likelihood)로 사 용하며, 측정된 사전분포와 우도를 이용하여 모델의 적합도(fitness)를 정의한다. 이를 통해 하이퍼네트워크 모델은 고차원 데이터를 효율적으로 학습 가능할 뿐이 아니라 모델의 학습시간 및 분류성능이 개선될 수 있다. 또한 학습 시에 파라미터로 주어지던 하이퍼에지의 구성 및 모델의 크기가 학습과정 중에 적응적으로 결정될 수 있다. 제안하는 학습방법의 검증을 위해 본 논문에서는 약 25,000개의 유전자 발현정보 데이터셋에 대한 분류문제에 모델을 적용한다. 실험 결과를 통해 제시하는 방법이 기존 하이퍼네트워크 학습 방법 뿐 아니라 다른 모델들에 비해 우수한 분류 성능을 보여주는 것을 확인할 수 있다. 또한 다양한 실험을 통해 사전분포로 사용된 사전지식이 모델 학습에 끼치는 영향을 분석한다.

• Journal of Chest Surgery
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• v.46 no.4
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• pp.285-288
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• 2013

Prosthetic valves are being widely used in the treatment of heart valve disease. Prosthetic valve endocarditis (PVE) is one of the most catastrophic complications seen in these patients. In particular, prosthetic valve dehiscence can lead to acute decompensation, pulmonary edema, and cardiogenic shock. Here, we discuss the medical management of late PVE in a patient with a prior history of late and redo early PVE and recurrent dehiscence. According to the present case, we can summarize the learning points as follows. A prior history of infective endocarditis increases the risk of relapse or recurrence, and these patients should be evaluated very cautiously to prevent late complications. Adequate debridement of infected material is of paramount importance to prevent relapse. A history of dehiscence is associated with increased risk of relapse and recurrent dehiscence.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.93-110
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• 2015

The purpose of this study is to identify the role of T-shaped skill between customer/supplier network and innovation performance of firms. To manage effectively the relationship between collaborative firms, firms need to have a prior related knowledge. The premise of absorptive capacity is that the organization needs prior related knowledge to recognize, assimilate, and apply new knowledge. In this context, T-shaped skill facilitates the learning of new related knowledge. The skill is thus a critical component of innovative capabilities. We found that T-shaped skill plays a mediating role in the relationship between networks and innovation performance. The conclusions and implications are discussed.

• Journal of Distribution Research
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• v.17 no.3
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• pp.93-113
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• 2012

Early conflict research in channel and organization area have focused on the definition of conflict construct, its cause, consequence and identified conflict resolution management. Recent studies about conflict, however, have explored new assumption of complexity, a multidimensional conflict construct, contextual conflict management strategies, positive and negative conflict/consequence, and the conflict resolution strategy. Although many literatures exists on channel conflict resolution, little research has been done about relationship learning and performance from conflict resolution perspective. This study explores how channel members can achieve a relationship learning, as a conflict resolution mechanism, which enhance co-created value in marketing channel relationship. Therefore we propose that conflict resolution strategies(collaborating behavior and avoiding behavior) influence channel performance(effectiveness and efficiency) through relationship learning processes(learning via information exchange, joint interpretation and coordination, relationship-specific knowledge memory), in view of buyer-seller relationship. The research model is shown at

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.31-46
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• 2023

This study classified and confirmed the learning modes about start-ups that are based on the accelerator's program which was focusing on the Korean accelerators in the ICT field targeting global market. Eight accelerator practitioners were interviewed who were in charge of operating programs for accelerators, qualitatively analyzing method of the interview was conducted. The interview results to identify various learning modes that accelerators provide to startups through programs. In order to identify and classify learning modes, the researcher reviewed various prior documents and using categories of experience accumulation, observation, experimentation, trial and error, and improvisation as a priori code for the qualitative analysis. The interview results were analyzed through a subject analysis. As the result of the study, the learning modes offered by the accelerator's programs to startups were confirmed, with two subcategories identified for each of the five categories: experiential, learning from others, experimental, trial and error, and improvisation. Given the limited research on accelerator programs and their main function, the main function of accelerators, this study identified the types of learning modes that offered by the accelerator's programs to startups from the perspective of learning. This study provides important insights into the types of learning modes that offered by the accelerator programs, which can help to improve our understanding of how accelerators support organizational learning for startups. Additionally, this information can be useful for startups considering in participating in the accelerator programs, as it can help them making informed decisions about their involvement.

• 대한공업교육학회지
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• v.36 no.2
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• pp.1-23
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• 2011

The purpose of the study was to investigate the generality and applicability of Team-Based Learning model in a technical high school, based on the interviews with students and a teacher. Team-Based Learning model seems to be an effective way in improving the performance of groups as well as the individualized learning and team interaction. We applied a formative research method and identified the strengths of the model including learners' motivation and interests, learner-centered learning, self-efficacy through learning in advance, and concept acquisition from the repetitive learning process. However, we also found the weakness of the model including impracticality of instructional design, a lack of field-oriented problem banks, and needs for identifying learner characteristics and role in instruction. Finally, we analyzed the implications for the Team-Based Learning in the technical high schools in light of team formation, discussion types, active participation, and learners' prior knowledge and attitude, and pre-determined instructional design.

• Journal of The Korean Association For Science Education
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• v.36 no.2
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• pp.191-202
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• 2016

In this study, a science museum teaching-learning model was developed with emphasis on play. In order to do this, the models of factor-centered museum education and process-centered museum education were reviewed and characteristics of science museum education were considered. The model developed in this study is called 'Play-Learning Model in Science Museum', and 'play' is defined as activities to achieve the mission in accordance with methods and rules set by individuals or small groups including scaffolding and play is divided into competition, simulation, and chance. 'Play-Learning Model in Science Museum' emphasizes learning using the articles on exhibition, scaffolding and interaction in small groups, and play. The model consists of four steps: 'Preparation', 'Exploring the exhibits', 'Experience', and 'Summary of learning content'. In the 'Preparation' step, the students form related knowledge and are ready to play. The 'Exploring the exhibits' step is the core step of this model, and entails the students solving problems in the mission by interacting with members of the small group. When they cannot find resolution, they get help. In the 'Experience' step, hands-on activities related to the prior step are included. In the 'Summary of learning content' step, the students summarize what they learned while playing. As science museum education is implemented in a variety of forms, continuous research about the science museum learning model and development of various programs are needed.

• Asia Marketing Journal
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• v.15 no.3
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• pp.79-95
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• 2013

New product innovation is a process of embodying new knowledge in a product and technology licensing is getting popular as a means to innovations and introduction of new product to the market in today's competitive global market environment. Incumbents often rely on technology licensing to access new product opportunities created by other firms. Prior research has examined various aspects of technology licensing agreements such as specific contract terms of licensing agreements, e.g., distribution of control rights, exclusivity of licensing agreements, cross-licensing, and the scope of licensing agreements. This study aims to provide answers to an important, but under-researched question: why do some incumbents initiate more licensing agreement for exploratory learning while others do it for exploitative learning along the innovation process? We attempt to extend our knowledge of licensing agreements from an organizational learning perspective. Technology licensing as a specific form of interfirm linkages can be initiated with different learning objectives along the process of new product innovation. The exploratory stages of the innovation process such as discovery or research stages involve extensive searches to create new knowledge or capabilities, whereas the exploitative stages of the innovation process such as application or test stages near the commercialization are more focused on developing specific applications or improving their efficiency or reliability. Thus, different stages of the innovation process generate different types of learning and the resulting technological resources. We examine when incumbents as licensees initiate more licensing agreements for exploratory learning objectives and when more for exploitative learning objectives, focusing on two factors that may influence a firm's formation of exploratory and exploitative licensing agreements: 1) its past radical and incremental innovation experience and 2) its internal investments in R&D and marketing. We develop and test our hypotheses regarding the relationship between a firm's radical and incremental new product experience, R&D investment intensity and marketing investment intensity, and the likelihood of engaging in exploratory and exploitive licensing agreements. Using data collected from various secondary sources (Recap database, Compustat database, and FDA website), we analyzed technology licensing agreements initiated in the biotechnology and pharmaceutical industries from 1988 to 2011. The results of this study show that incumbents initiate exploratory rather than exploitative licensing agreements when they have more radical innovation experience and when they invest in R&D activities more intensively; in contrast, they initiate exploitative rather than exploratory licensing agreements when they have more incremental innovation experience and when they invest in marketing activities more intensively. The findings of this study contribute to the licensing and interfirm cooperation studies. First, this study lays a foundation to understand the organizational learning aspect of technology licensing agreements. Second, this study sheds lights on how a firm's internal investments in R&D and marketing are linked to its tendency to initiate licensing agreements along the innovation process. Finally, the findings of this study provide important insight to managers regarding which technologies to gain via licensing agreements. This study suggests that firms need to consider their internal investments in R&D and marketing as well as their past innovation experiences when they initiate licensing agreements along the process of new product innovation.

• Journal of Korean Elementary Science Education
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• v.40 no.3
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• pp.343-365
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• 2021

The purpose of this study was to clarify the effect of learner variables on triggering state curiosity and state anxiety in confronting scientific task situation for fifth to sixth grades of elementary school. Science curiosity, interest, need for cognition, science self-concept, science anxiety, prior knowledge, and perceived difficulty were selected as learner variables that are expected to affect state curiosity and state anxiety. As a result of this study, the variables that had a significant influence on evoking state curiosity in confronting scientific task situation were in the order of interest, need for cognition, science curiosity, and prior knowledge, and all of these variables had a positive effect. In addition, the variables that significantly affect on evoking state anxiety in confronting scientific task situation were in the order of science anxiety, perceived difficulty, need for cognition, science self-concept, and prior knowledge. Of these, only prior knowledge had a negative effect on evoking state anxiety, and the other variables had a positive effect. The results of this study are expected to broaden the comprehension of students' emotional states in science education, and provide a theoretical foundation for the studies of state curiosity and state anxiety in science learning.