• Journal of the Korean association of regional geographers
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• v.8 no.4
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• pp.529-541
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• 2002

This paper aims to provide a context-specific interpretation on the shifting process of in-house R&D spaces in a large Korean firm in the context of rapidly changing markets and technology. Drawing on the case study of LG Electronics Company, one of the Korea's flagship companies, I examine the causes and mechanisms leading to a shift in domestic R&D spaces and the nature of learning processes between R&D teams and between R&D and other organizational units, particularly manufacturing. It appears that the current reshaping processes of domestic R&D spaces in LGE focus more on the clustering of core R&D laboratories than the geographical integration of conception and execution. However, it should not simply be viewed that such a move would be reduced to the linear model of innovation and organizational learning. Instead, it involves the firm-specific mode of regulating organizational competences. As contextual variables to induce such a firm-specific mode of organizational change, I consider the spatial form of organization, the spatial sources of knowledge and learning, and the powers of relational learning that can be made between distanciated actors and teams.

• Journal of Korean Academy of Nursing
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• v.42 no.1
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• pp.36-47
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• 2012

Purpose: This study was to explore adaptation experience to family among women who immigrated for marriage. Specific aims were to identify problems immigrant women face as family members and how they interact with other family members. Methods: Grounded theory methodology was utilized. Data were collected from iterative fieldwork with individual in-depth interviews from 6 immigrant women as key informants, and 2 of their husbands and 2 of their mothers-in-law as general informants. Results: Through constant comparative analysis, a core category emerged as "tearing down the wall in communicating". Causal conditions were feeling frustrated in one's expectations, differences in language and life style, differences in recognition, and perceptions of discrimination and prejudice. Strategies were learning the Korean language, learning Korean culture, managing stress, mediating differences between family members, and introspecting. Intervening factors were support systems, burdens of child-rearing, and the condition of one's health. Consequences were rooting oneself in one's family and accepting one's life as it is. Conclusion: Results of the study indicate that there is a need for nurses to understand differences in communication with family members among immigrant women and to provide information and emotional support to improve the adaptation of these women to their Korean families.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.81-86
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• 2002

In current CBR(Case-Based Reasoning) systems, the case adaptation is usually performed by rule-based method that use rules hand-coded by the system developer. So, CBR system designer faces knowledge acquisition bottleneck similar to those found in traditional expert system design. In this thesis, 1 present a model for learning method of case adaptation knowledge using case base. The feature difference of each pair of cases are noted and become the antecedent part of an adaptation rule, the differences between the solutions in the compared cases become the consequent part of the rule. However, the number of rules that can possibly be discovered using a learning algorithm is enormous. The first method for finding cases to compare uses a syntactic measure of the distance between cases. The threshold fur identification of candidates for comparison is fixed th the maximum number of differences between the target and retrived case from all retrievals. The second method is to use similarity metric since the threshold method may not be an accurate measure. I suggest the elimination method of duplicate rules. In the elimination process, a confidence value is assigned to each rule based on its frequency. The learned adaptation rules is applied in riven target Problem. The basic. process involves search for all rules that handle at least one difference followed by a combination process in which complete solutions are built.

• The Transactions of the Korea Information Processing Society
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• v.6 no.1
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• pp.96-106
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• 1999

Case-Base Reasoning(CBR) solves the new problems by reusing the solutions to previously solved problems. But, there are differences between previously known case and a new problems. To solve this problem Case-Based System have to adapt the solution of the case to suit a new situation. In current CBR systems, case adaptation is usually performed by rule-based method that use rules hand-coded by the system developer. So, CBR system designer faces knowledge acquisition bottleneck akin to those found in traditional expert system design. To solve this problem, in this thesis, we present an automatic learning method of case adaptation knowledge using case base, we use a method of comparing cases in the case base to learn adaptation knowledge. The system is tested in the domain for the decision of travel-price. The result shows accuracy improvement in comparison with case retrieval-only system.

• English Language & Literature Teaching
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• v.13 no.4
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• pp.127-152
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• 2007

Recently, the number of students to choose to study in Australia has been increasing significantly. The purpose of this study is to examine how Korean primary school children perceive their own English language learning and cultural adaptation in Australia. A questionnaire survey was conducted with 34 Korean children aged 8-13 who were attending primary schools in Brisbane, Queensland. The study results show that they made diverse efforts to learn English language and culture in Australia, such as making English-speaking friends, watching TV/video/DVD, reading English books, and studying with a foreign tutor. Their English listening and writing abilities were thought to be improved most, followed by speaking, reading and cultural understanding after studying in Australia. The subjects were mostly satisfied with their study and life in Australia but they had difficulties with communicating in English, homesickness, foods, weather, insects, and discrimination. In particular, they had problems with understanding classes conducted all in English and participating in the classroom activities due to their low level of English ability and understanding of Australian classroom culture. The findings of this study have pedagogical implications for educators both in Australia and Korea.

• Korean Medical Education Review
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• v.23 no.1
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• pp.11-22
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• 2021

This review of the literature explored the experiences and effects of peer-assisted learning in basic medical education. Peer-assisted learning is most commonly utilized to teach clinical skills (including technical skills) and medical knowledge (76.4%). It has also been used, albeit less frequently, to facilitate small-group discussions including problem-based learning, to promote students' personal and professional development, to provide mentoring for career development and adaptation to school, to give tutoring to at-risk students, and to implement work-based learning in clinical settings. Near-peer learning is a common type. The use of active learning techniques and digital technology has been increasingly reported. Students' leadership had frequently been described. Student tutor training, programs for teaching skills, institutional support, and assessments have been conducted for effective peer-assisted learning. There is considerable positive evidence that peer-assisted learning is effective in teaching simple clinical skills and medical knowledge for tutees. However, its effects on complex skills and knowledge, small-group discussions, personal and professional development, peer mentoring, and work-based learning have rarely been studied. Additionally, little evidence exists regarding whether peer-assisted learning is effective for student tutors. Further research is needed to develop peer-assisted learning programs and to investigate their learning effects on student tutors, small-group discussion facilitation, personal and professional development, peer mentoring, and peer-led work-based learning in the clinical setting in South Korea. Formal programs and system advancement for a student-led learning culture is needed for effective peer-assisted learning.

• Korean Journal of Adult Nursing
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• v.27 no.5
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• pp.493-504
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• 2015

Purpose: This study was a qualitative study to explore and understand the adaptation experiences of hemodialysis among women with End-Stage Renal Disease (ESRD) and to develop a substantive theory using the grounded theory method. Methods: Participants were 15 female patients who underwent hemodialysis for ESRD treatment from three general hospitals. The data were collected through in-depth individual interviews. Results: The adaptation experience of participants was emerged as a process of taking care and enduring. There were four adaptation stages as a negative, despair, receptive, and maintenance period in reference to hemodialysis. The causal conditions were a vague expectations of recovery and refusal to undergo hemodialysis. The core phenomenon was that of confinement to dialysis machine. The contextual conditions for this phenomenon were the loss of femininity. They used action/interaction strategies such as transition their life with a focus on hemodialysis, seeking information, and learning how to take care of their body. Through this process, they had a strong will to live or had sustained their life. Conclusion: These results indicate that there is a need for nurses to understand the different steps of adaptation experiences of the given patient population. It is necessary for nurses to support them to lead their life as much normal as possible and improve the adaptation experience of ESRD.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.1
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• pp.31-36
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• 2008

This paper presents adaptive learning data of evolvable neural networks (ENNs) for time series prediction of nonlinear dynamic systems. ENNs are a special class of neural networks that adopt the concept of biological evolution as a mechanism of adaptation or learning. ENNs can adapt to an environment as well as changes in the enviromuent. ENNs used in this paper are L-system and DNA coding based ENNs. The ENNs adopt the evolution of simultaneous network architecture and weights using indirect encoding. In general just previous data are used for training the predictor that predicts future data. However the characteristics of data and appropriate size of learning data are usually unknown. Therefore we propose adaptive change of learning data size to predict the future data effectively. In order to verify the effectiveness of our scheme, we apply it to chaotic time series predictions of Mackey-Glass data.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.920-924
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• 2005

This paper presents adaptive learning data of evolvable neural networks (ENNs) for time series prediction of nonlinear dynamic systems. ENNs are a special class of neural networks that adopt the concept of biological evolution as a mechanism of adaptation or learning. ENNs can adapt to an environment as well as changes in the environment. ENNs used in this paper are L-system and DNA coding based ENNs. The ENNs adopt the evolution of simultaneous network architecture and weights using indirect encoding. In general just previous data are used for training the predictor that predicts future data. However the characteristics of data and appropriate size of learning data are usually unknown. Therefore we propose adaptive change of learning data size to predict the future data effectively. In order to verify the effectiveness of our scheme, we apply it to chaotic time series predictions of Mackey-Glass data.

• Korean Journal of English Language and Linguistics
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• v.3 no.3
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• pp.375-410
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• 2003

As Snow (1989) and Sternberg (1985) have long argued, learning, and adaptation to the learning environment or classroom context (at the levels of instructional treatment, interventionist focus on form technique, or pedagogic task) is a result of the interaction of context at each of these levels of description with learners' patterns of abilities. In this paper I argue that this is an important area of research for SLA pedagogy, as well as SLA theory development, and I review recent developments in the study of L2 learning conditions; of the abilities contributing to L2 aptitude; and of their interaction with the processes involved in successful classroom learning and practice, and propose a model of ‘multiple aptitudes’ for classroom learning based on these findings.