• 영어어문교육
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• 제9권1호
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• pp.83-129
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• 2003

This study explains a cooperative project between Kangwon National University (KNU) and Waseda University(WU), so called CCDLP (Cross-Cultural Distance Learning Project). The purpose of this project is to enhance the English proficiency of students at both universities by making their learning environments enjoyable and fruitful. The purpose of this paper is to emphasize the role of CCDL in the EFL classroom by discussing (1) how to create the situations where students at both universities get to know and understand each other through modern technologies, (2) how to encourage the students to work closely together VC (Video Conferencing), TeleMeet, chat systems, and e-mail, and (3) how to provide a new style of learning and teaching L2. The results from a questionnaire and a grammaticality judgment test show that students have a sense of satisfaction and achievement in the English proficiency at the end of the project. The result of this project will be of great importance for future works in the use of communication systems in L2 learning and teaching.

• 컴퓨터교육학회논문지
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• 제22권2호
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• pp.39-50
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• 2019

본 논문에서는 효과적인 컴퓨터 프로그래밍 학습을 위하여 팀 프로젝트 기반 학습을 설계하여 적용하고 학습효과에 미치는 영향을 분석하였다. 이론 강의 및 실습 최소화, 무작위 추첨에 의한 팀 구성, 각 팀원별 책임과 권한의 설정, 주어진 과제에 대한 경쟁 방식 문제 해결 프로젝트 진행, 팀 프로젝트가 끝날 때까지 매주 단계별 진행사항 발표를 통한 자연스러운 정보 공유 및 학습 사이클 반복 등을 통하여 학생들이 능동적으로 학습에 참여하는 모습이 관찰되었다. 과정 종료 후, 학습효과에 대한 분석을 위하여 학습자를 대상으로 설문조사를 실시하였으며, 그 결과 팀 프로젝트 기반 교육이 컴퓨터 프로그래밍 학습에 긍정적인 영향을 미치는 것으로 파악되었다. 본 논문에서는 도출된 요인 간 관계분석을 바탕으로 보다 효과적인 컴퓨터 프로그래밍 학습 방법을 논하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.1013-1020
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• 2021

This study examines the role of dynamic socio-emotional capabilities to increase proactive stakeholder engagement in family businesses. The research sample includes all furniture enterprises scattered in Jepara Regency sub-districts as many as 3,945 companies. The sampling in this research is purposive; as many as 210 respondents, 181 could be used. The sampling unit is the owners and managers, considering that most company owners are also company managers. This study examines how learning and supply chain management in the family business can be integrated to enable a set of resources and capabilities provided by the family to be developed to build closer relationships with stakeholders. The findings showed the importance of a family business's supply chain management perspective in the relationship between dynamic socio-emotional capabilities to mediate organizational learning to proactive stakeholder engagement significantly. Based on this study's results, companies can build dynamic socio-emotional capabilities through organizational learning to increase proactive stakeholder engagement. Dynamic socio-emotional capabilities proved to play a role as a mediator for organizational learning by family companies for proactive stakeholder engagement.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.115-128
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• 2023

Deep learning has been incorporating various optimization techniques motivated by new pragmatic optimizing algorithm advancements and their usage has a central role in Machine learning. In recent past, new avatars of various optimizers are being put into practice and their suitability and applicability has been reported on various domains. The resurgence of novelty starts from Stochastic Gradient Descent to convex and non-convex and derivative-free approaches. In the contemporary of these horizons of optimizers, choosing a best-fit or appropriate optimizer is an important consideration in deep learning theme as these working-horse engines determines the final performance predicted by the model. Moreover with increasing number of deep layers tantamount higher complexity with hyper-parameter tuning and consequently need to delve for a befitting optimizer. We empirically examine most popular and widely used optimizers on various data sets and networks-like MNIST and GAN plus others. The pragmatic comparison focuses on their similarities, differences and possibilities of their suitability for a given application. Additionally, the recent optimizer variants are highlighted with their subtlety. The article emphasizes on their critical role and pinpoints buttress options while choosing among them.

• 대한간호학회지
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• 제6권2호
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• pp.32-38
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• 1976

The advanced knowledge is increasing day by day due to the progress of medicine and tectonics, the increase of nursing research nowadays. In parallel with these, nursing profession has a need of the nursing care with improvement of new Knowledge, tectonics and nursing procedure through the insertive education. Therefore, this study was attempted to investigate that to grasp learning need of nurses about inservice educational play a pivotal role in the progress of inservice education. This study was made from 242 clinical nurse at 4 hospitals in Seoul and through question- are consisting of 1) ideological part 2) basic sciences 3) nursing part 4) administrative part 5) the others from 10 July '75 to 7 Oct. '75. The data were treated by percentage, Licker method, arid chi- square examination. Significant difference p is 0.05. The results of this studies are as follows : A. learning needs of nurses 1) Generally the learning needs of nurses is very high. 2) Of the learning need of inservice education for nurses, the highest learning need is as follow (Table 2 ) 1 st : Charting 2 nd : The ability of grasping patient's needs and problems. 3 rd ; The contents and the methods of the advanced nursing skill. 4 th ; The importance of team work 5 th ; The general knowledge of the various disease 6 th : The decision of a propriety nursing diagnosis under the general condition. 7 th ; The introduction of the new nursing theory. 8 th : The Nurses role and the responsibility in emergency and disaster. 9 th : The improvement of nursing skill for the perfect interpersonal relationship. l0th ; Cultural education: B . Verification of hypothesis 1. Hypothesis I , learning needs of nurses and educational level of nurse will be correlated, is rejected (Table 3 ) 2. Hypothesis II, learning need of nurses and duties of post will be correlated, is rejected (Table 4) 3. Hypothesis III, learning need of nurse and clinical experience of nurses will be correlated, is rejected (Table 5).

• 지식경영연구
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• 제17권3호
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• pp.65-91
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• 2016

Although the success of industrial clusters largely depends on whether clustering firms can achieve economic performance, there has been less attention on investigating factors and conditions contributing to the performance enhancement for clustering small and medium-sized enterprises (SMEs). Along this vein, we adopt the theories of social capital and organizational learning as those success factors for clustering SMEs. This study thus aims at examining what effect social capital accrued in the relationships among actors within clusters has on firm performance of clustering SMEs and what role organizational learning plays in the linkage between social capital and firm performance. For the empirical analysis, we operationalized the variables and their measures to develop questionnaires through the theoretical reviews on literatures. As a sample of 227 clustering SMEs, our collected data was analyzed by hierarchical regression analysis. The results confirmed that a high level of social capital, represented by network, trust, and norm, has positive effect on firm performance of clustering SMEs. We also found that clustering firms presenting high organizational learning, represented by absorptive and transformative capability, achieve better performance than those placing less value on organizational learning. Furthermore the significant relationship between social capital and firm performance is mediated partially through organizational learning. These findings imply not only that the territorial agglomeration of industrial cluster does not guarantee the performance creation of clustering SMEs but that they need to develop social capital among various actors within clusters, facilitating their knowledge diffusion. In order to absorb and mobilize the shared knowledge and information into strategic resources, the firms should improve their capability associated with organizational learning. These expand our understanding on the importance of social capital and organizational learning for the performance enhancement of clustering firms. Differentiating from major studies addressing benefits and advantages of industrial cluster, this study based on the perspective of firm-internal business process contributes to the literature advancement. Strategic and policy implications of this study are discussed in detail.

• 의학교육논단
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• 제22권2호
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• pp.67-76
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• 2020

The structures and processes of medical education have changed little since the publication of Flexner's report, which stressed the scientific orientation of medical education and the curricular structure of 2 years of formal knowledge education and 2 years of clinical experience. However, the previous perspectives on medical education are facing challenges, and these call for new pedagogy and theories on which to base medical education practice. Considering that social dimensions of learning have been emphasized in practice, perspectives that integrate these aspects are needed. Among the various learning theories, social cognitive theory refers to the theoretical framework which contends that learning occurs within interactions with others and environments. From a social cognitive standpoint, learning through observation is a critical component in human functioning. Indeed, observational learning has particular significance in medical education in that it provides the context for which the importance and meaning of role models can be understood. In addition, as theoretical constructs such as self-efficacy and outcome expectations allow us to establish an effective learning environment, exploring the concepts of the theory could be beneficial to medical education practice. In this context, the present review article aims to provide a glimpse of the fundamental assumptions and theoretical concepts of social cognitive theory and discusses the implications the theory has on teaching and learning. Further, a review of previous studies could help explain how the theory has informed medical education practice. Finally, the author will conclude with the implications and limitations of applying social cognitive theory in medical education.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.100-105
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• 2021

This study examines the effectiveness of the study through a case of PBL(problem-based-learning) class conducted in a balanced culture course called at 00- University in the second semester of 2020. The effects of learning are as follows: First, PBL(problem-based-learning) has sufficient active interaction between the teacher and the learner. In the face of prolonged non-face-to-face learning, the PBL teaching method has sufficient interaction between the professors-learner and the learner. Second, PBL learning can actively utilize various problems that fit the characteristics of the subject and actively utilize the process of role sharing and collaboration. By presenting various problem situations suitable for the subject, students will be able to share roles individually or as a team, and fully experience the process of collaboration and discussion in the process of investigating the data. Third, critical perceptions of problem situations can be extended. In modern times, a variety of problem situations arise and critical perceptions of them must be fully learned. In a mass production and mass consumption society, students should develop the ability to blindly recognize and distinguish between real and fake information in a flood of information. The limitations identified in this class case are, first, the nature of the subject, "Understanding Culture and Philosophy," which makes it possible to discuss the global cultural phenomenon, but it should be discussed in terms of philosophy. Second, it is not easy to work as a team on non-face-to-face online. Nevertheless, PBL is a very effective method of learning in which active interactions and learning activities take place between professors and students, whether face-to-face or face-to-face online learning.

• 지식경영연구
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• 제24권2호
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• pp.1-25
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• 2023

조직 학습은 벤처기업이 성공적인 혁신 창출에 필요한 지식 기반을 구축하는데 필수적이다. 하지만 이러한 벤처기업의 조직 학습이 성과 향상에 어떤 기제로 영향을 미치는지에 관해서는 더 많은 연구가 필요한 상황이다. 이에 본 연구는 벤처기업의 학습-성과 기제에 기업가적 지향성이 어떻게 작용하는지 살펴보았으며, 본 연구가 벤처기업 맥락의 연구라는 점을 고려해 두 유형의 혁신 성과 지표를 활용하였다: 기술경쟁력, 사업 성과. 본 연구는 총 218개 국내 벤처기업을 대상으로 수집한 자료를 분석하였으며, 그 결과 획득적 학습과 실험적 학습의 조직 학습을 강조하는 기업일수록 높은 수준의 기업가적 지향성을 나타냄을 확인하였다. 이는 벤처기업이 조직 학습을 많이 수행할수록 지식기반 자산을 보다 생산적으로 활용하는 기업가적 지향성이 높다는 것을 의미한다. 또한 본 연구는 기업가적 지향성이 벤처기업의 조직 학습과 혁신 성과를 완전 매개함을 확인하였다. 본 연구는 상대적으로 작은 규모와 짧은 업력으로 인해 한계에 직면하는 벤처기업이 지식을 습득하고 활용하기 위한 조직 학습을 통해 혁신 성과를 향상시킬 수 있음을 보였다는 점에서 기존 연구 및 실무에 기여한다.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.31-42
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• 2024

Different industries mostly rely on quality certification for promoting their products or brands. Although getting quality certification, specifically by human experts is a tough job to do. But the field of machine learning play a vital role in every aspect of life, if we talk about quality certification, machine learning is having a lot of applications concerning, assigning and assessing quality certifications to different products on a macro level. Like other brands, wine is also having different brands. In order to ensure the quality of wine, machine learning plays an important role. In this research, we use two datasets that are publicly available on the "UC Irvine machine learning repository", for predicting the wine quality. Datasets that we have opted for our experimental research study were comprised of white wine and red wine datasets, there are 1599 records for red wine and 4898 records for white wine datasets. The research study was twofold. First, we have used a technique called backward elimination in order to find out the dependency of the dependent variable on the independent variable and predict the dependent variable, the technique is useful for predicting which independent variable has maximum probability for improving the wine quality. Second, we used a robust machine learning algorithm known as "XGBoost" for efficient prediction of wine quality. We evaluate our model on the basis of error measures, root mean square error, mean absolute error, R2 error and mean square error. We have compared the results generated by "XGBoost" with the other state-of-the-art machine learning techniques, experimental results have showed, "XGBoost" outperform as compared to other state of the art machine learning techniques.