• Journal of Educational Research in Mathematics
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• v.22 no.1
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• pp.101-115
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• 2012

Analogy, a plausible reasoning on the basis of similarity, is one of the thinking strategy for concept formation, problem solving, and new discovery in many disciplines. Statistics educators argue that analogy can be used as an useful thinking strategy in statistics as well. This study investigated the characteristics of students' analogical thinking in statistics. The mathematically gifted were asked to construct similar problems to a base problem which is a statistical problem having a statistical context. From the analysis of the problems, students' new problems were classified into five types on the basis of the preservation of the statistical context and that of the basic structure of the base problem. From the result, researchers provide some implications. In statistics, the problems, which failed to preserve the statistical context of base problem, have no meaning in statistics. However, the problems which preserved the statistical context can give possibilities for reconceptualization of the statistical concept even though the basic structure of the problem were changed.

• Journal of Korean Elementary Science Education
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• v.39 no.3
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• pp.433-448
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• 2020

In this study, the tasks of thermal equilibrium and heat insulation concept were divided into scientific and everyday contexts to analyzed the level of familiarity, feeling of knowing, state curiosity, and state anxiety that students feel in task contexts and their relationship. The subjects of this study were One hundred nine students in sixth grade of elementary schools located in metropolitan cities. The results of this study were as follows. First, there was no difference in the level of feeling of knowing, state curiosity, and state anxiety in the task of scientific and everyday contexts. In the case of familiarity, there was no consistent tendency in the concept of thermal equilibrium and heat insulation. And the group who recognized the task context familiarly had higher feeling of knowing and lower state anxiety than the group who recognized the task context unfamiliarly. Second, familiarity and feeling of knowing showed high positive correlation, state anxiety and familiarity showed negative correlation, and state anxiety and feeling of knowing had also negative correlation. In addition, familiarity had a negative effect on state anxiety, and FOK had a positive effect on state curiosity and a negative effect on state anxiety. There was no significant moderating effect of the task context. Third, in case of state curiosity, the group perceived the knowledge gap was very small had the highest state curiosity, and the group perceived the knowledge gap was very large had the lowest state curiosity. In case of state anxiety, the less the knowledge gap was perceived, the lower the anxiety was triggered. This study broadens our understanding of the learning process and provides implications for effective instruction strategies for students' cognitive and emotional states.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.9-21
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• 2024

Deep learning has been developing rapidly in recent years, with many researchers working to utilize large language models in various domains. However, there are practical difficulties that developing and utilizing language models require massive data and high-performance computing resources. Therefore, in-context learning, which utilizes prompts to learn efficiently, has been introduced, but there needs to be clear criteria for effective prompts for learning. In this study, we propose a methodology for enhancing prompt-based learning performance by improving the PET technique, which is one of the contextual learning methods, to select PVPs that are similar to the context of existing data. To evaluate the performance of the proposed methodology, we conducted experiments with 30,100 restaurant review datasets collected from Yelp, an online business review platform. We found that the proposed methodology outperforms traditional PET in all aspects of accuracy, stability, and learning efficiency.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.76-83
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• 2020

The fourth industrial revolution (Industry 4.0) will generate great benefits and big challenges in equal measure. Industry 4.0 has an impact on context, technology and business as long as it transforms design, production systems and products themselves. Industry 4.0 has also created many opportunities and challenges for startups to improve their business efficiency. The reality has shown that the industry 4.0 has begun to strong impacts of various levels on many areas of Vietnam's economy. In such context, it is necessary to implement sufficient and thorough research and evaluation of many issues of startups and innovation and to consider suitable solutions and effective ways to take advantages of opportunities that the Industry 4.0 brings to Vietnam. This paper proposes the solution for supporting and promoting to develope of innovative start-up enterprise in accordance with the conditions and circumstances of Vietnam in the context of Industry 4.0.

• Education of Primary School Mathematics
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• v.25 no.2
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• pp.197-211
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• 2022

In this study, we tried to find a way to improve the pedagogical decision-making practices related to the presentation order of 'large number' and 'small number' in problem situations of subtraction of the natural number. For this purpose, the elementary school teachers' perception about problem situations in real-life context of subtraction of natural numbers was investigated, and the collected data were analyzed qualitatively and quantitatively to identify teachers' pedagogical perceptions. As a result of this study, it was confirmed the need for consideration on how to set up a problem situations in real-life context of subtraction so that students can develop their ability to solve various types of problems. To this end, not only in a problem situation of subtraction where you have to think of 'large number' first and 'small number' later, but also about the introduction of problem situations in real-life context of subtraction in which you think about 'small number' first and 'large number' later, which often appears in real-life. You will need to recognize the need. And you should have a pedagogical view on this. The results of this study will be able to contribute to the preparation of pedagogical method that can expand the understanding of various problem situations where subtraction is applied from the lower grades of elementary school.

• Journal of Korean Medical classics
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• v.22 no.3
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• pp.53-78
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• 2009

To catch the message of Taoism inside the theory of Korean medicine, we have to understand the contents of Tao Te Ching(道德經) the only writings of Lao-tzu(老子). And to do that, precise translation into Korean language must be held before anything else. There have been a little bit more than 50 Korean versions of Tao-te-Ching, and we screened out 10 versions based on academic value. With them, we had a study on the translation of Tao Te Ching, from chapter 1 to 20. Our study found that the existing 10 versions have some obscure words, wrong paragraph classifications, descriptions out of context needing remedial actions for exact understanding. And Chinese words and phrases with various meanings could be translated correctly with our constant rule that values consistent context.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.78-83
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• 2007

최근 상황정보 관리의 범위가 단일 도메인에서 다중 도메인으로 확장되면서 사용자의 상황정보는 사용자가 위치하고 있는 도메인뿐만 아니라 여러 도메인에 연관되게 되고 그로 인해 제공될 수 있는 유비쿼터스 컴퓨팅 서비스가 점점 다양해졌다. 다중도메인 환경에서 같은 종류의 상황정보는 다수의 로컬 상황정보 관리자에 의해 제공될 수 있기 때문에, 해당 상황정보에 대한 적합한 로컬 상황정보 관리자가 글로벌 상황정보관리자에 의해 선택되어야 한다. 본 논문에서 우리는 하나의 글로벌 상황정보 관리자와 여러개의 로컬 상황정보 관리자로 구성된 연합 구조를 제안하고, 연합 상황정보 처리를 위해 상황정보 제공자 선택 문제에 대해 논하고 선택 방법을 제안한다. 또한 연합 상황정보 관리에서 어떻게 이 선택 방법이 상황추론의 결과를 향상시키는지 보여준다.

• Journal of Forest and Environmental Science
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• v.25 no.3
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• pp.157-165
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• 2009

Forests potentially contribute to global climate change through their influence on the global carbon (C) cycle. The Kyoto Protocol provides for the involvement of developing countries in an atmospheric greenhouse gas reduction regime under its Clean Development Mechanism (CDM). Carbon credits are gained from reforestation and afforestation activities in developing countries. Bangladesh, a densely populated tropical country in South Asia, has a huge degraded forestland, which can be reforested by CDM projects. To realize the potential of the forestry sector in developing countries like Bangladesh for full-scale emission mitigation, the carbon sequestration potential should be integrated with the carbon trading system under the CDM of the Kyoto Protocol. This paper discusses the prospects of carbon trading in Bangladesh, in relation to the CDM, in the context of global warming.

• Microbiology and Biotechnology Letters
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• v.48 no.4
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• pp.574-581
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• 2020

Next generation sequencing is commonly used to characterize the microbiome structure. MiSeq is commonly used to analyze the microbiome due to its relatively long read length. However, recently, Illumina introduced the 250x2 chip for HiSeq 2500. The purpose of this study was to compare the performance of MiSeq and HiSeq in the context of oral microbiome samples. The MiSeq Reagent Kit V3 and the HiSeq Rapid SBS Kit V2 were used for MiSeq and HiSeq 2500 analyses, respectively. Total read count, read quality score, relative bacterial abundance, community diversity, and relative abundance correlation were analyzed. HiSeq produced significantly more read sequences and assigned taxa compared to MiSeq. Conversely, community diversity was similar in the context of MiSeq and HiSeq. However, depending on the relative abundance, the correlation between the two platforms differed. The correlation between HiSeq and MiSeq sequencing data for highly abundant taxa (> 2%), low abundant taxa (2-0.2%), and rare taxa (0.2% >) was 0.994, 0.860, and 0.416, respectively. Therefore, HiSeq 2500 may also be compatible for microbiome studies. Importantly, the HiSeq platform may allow a high-resolution massive parallel sequencing for the detection of rare taxa.

• Journal of Families and Better Life
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• v.19 no.1
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• pp.205-219
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• 2001

This study analyzes consumer education for consumption values in the elementary school textbooks to provide information useful in revising the curriculum in the future. The textbooks for the 4th, the 5th, and 6th curricula, which are 334 volumes in total, are analyzed by the context-analysis method. Context unit is used as the analysis unit and the number of pages is used as the system of enumeration. According to the analysis, the areas taught most frequently in current curriculum are \"frugality and reuse\" and \"the planned consumption\", while the areas taught least are \"impulsive and conformity consumption\" and \"the concept of consumer and the consumers role\". It was also found that current programs are not well organized in terms of continuity, sequence, and integration.