• Communications of Mathematical Education
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• v.18 no.3 s.20
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• pp.139-147
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• 2004

최근 수학 창의성 개발과 관련되어 문제설정에 대한 많은 연구가 진행되고 있으나 문제설정의 기법과 지도방법에 대한 연구는 실제적인 연구는 미비한 실정이다. 이 연구에서는 문제설정의 유형과 수준을 논의함으로서 문제설정 지도에 대한 시사점을 주고자 한다. 문제설정의 유형으로는 다음과 같이 분류될 수 있다. 첫째, 문제를 구성하는 요인들을 다른 것으로 대체하여 만들 수 있는 대치적 수준의 문제설정, 둘째 유추적 사고에 의해 만들 수 있는 유추적 수준의 문제설정, 셋째는 개념이나 또는 해를 구하는 방법이나 절차를 다른 형태로 바꾸는, 즉 문제를 재구성, 재정의 및 재조직하여 문제를 만드는 재구성 수준의 문제설정, 넷째는 출판되는 논문의 주제 선정과 같은 전문가 수준의 문제설정으로 분류하였다.

• Journal of the Korean earth science society
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• v.35 no.6
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• pp.467-483
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• 2014

This study aimed to investigate the classification ability with naked eyes according to the understanding level about rocks of pre-service science teachers. We developed a questionnaire concerning misconception about minerals and rocks. The participants were 132 pre-service science teachers. Data were analyzed using Rasch model. Participants were divided into a master group and a novice group according to their understanding level. Seventeen rocks samples (6 igneous, 5 sedimentary, and 6 metamorphic rocks) were presented to pre-service science teachers to examine their classification ability, and they classified the rocks according to the criteria we provided. The study revealed three major findings. First, the pre-service science teachers mainly classified rocks according to textures, color, and grain size. Second, while they relatively easily classified igneous rocks, participants were confused when distinguishing sedimentary and metamorphic rocks from one another by using the same classification criteria. On the other hand, the understanding level of rocks has shown a statistically significant correlation with the classification ability in terms of the formation mechanism of rocks, whereas there was no statistically significant relationship found with determination of correct name of rocks. However, this study found that there was a statistically significant relationship between the classification ability with regard to formation mechanism of rocks and the determination of correct name of rocks.

• Korean Journal of Plant Taxonomy
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• v.38 no.3
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• pp.271-313
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• 2008

Though numerous Korean plants were described by $L{\acute{e}}veill{\acute{e}}$, there has been no comprehensive taxonomic examination of those taxa. The taxonomic literature has been thoroughly reexamined to determine the taxonomic status of $L{\acute{e}}veill{\acute{e}'s}$ taxa reported in serial papers of the Decades plantarum novarum using plant specimens from Korea. It was confirmed that $L{\acute{e}}veill{\acute{e}}$ described a total of 275 Korean taxa including a new genus, Hydrolirion $H. L{\acute{e}}v.$, which is now merged into the genus Blyxa Noronha ex Thou. Among 231 of the taxa described as species, 17 are currently recognized as species or varieties. The taxonomic status of 52 taxa were proved disputable as species. There were also 11 taxa which have never been a subject of discussion among Korean taxonomists.

• Information Systems Review
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• v.19 no.4
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• pp.111-134
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• 2017

This study compares the linkage effects and competitive advantage between ICT and automobile industry in Korea from 1996 to 2011 using input-output tables. The ICT industry is classified according to the International Standard Industry Classification. Results show that (1) the ICT industry exhibits linkage effects similar to those of automobile industry. (2) Both ICT and automobile manufacturing sectors exert significant effects on the demand and supply. Additionally, (3) ICT service and automobile sectors show linkage effects on demand and supply, respectively. The present results present the classification criteria of the ICT industry discussed to date and suggest economic effects and policy implications.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.65-84
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• 2019

This study attempted to predict citizens' emotions regarding mortgage rates using machine learning algorithms. To accomplish the research purpose, I reviewed the related literature and then set up two research questions. To find the answers to the research questions, I classified emotions according to Akman's classification and then predicted citizens' emotions on mortgage rates using six machine learning algorithms. The results showed that AdaBoost was the best classifier in all evaluation categories. However, the performance level of Naive Bayes was found to be lower than those of other classifiers. Also, this study conducted a ROC analysis to identify which classifier predicts each emotion category well. The results demonstrated that AdaBoost was the best predictor of the residents' emotions on home mortgage rates in all emotion categories. However, in the sadness class, the performance levels of the six algorithms used in this study were much lower than those in the other emotion categories.

• Journal of Engineering Education Research
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• v.13 no.1
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• pp.87-97
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• 2010

The goal of this study is to develop a skill system for the areas of textile and clothing among the skill systems that require basic examination in the development of skill standards. More specifically, the study aims to classify skills in the areas of textile and clothing and to develop respective skill level. We classified skills and created the skill level through a study of documents, interview with experts and in-depth discussions with expert group centering on terminologies commonly used in the industrial settings. As a result of skill classification, we were able to classify skills into three categories in medium-scale classification, 10 categories in small-scale classification, and again into total 22 categories. We classified the skill level in the areas of textile and clothing into 7 stages. Based on the skill system, we provided definition of skill and skill group, definition of each different skill, and performance standard by skill and level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5709-5714
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• 2011

The purpose of this study was to investigate the utility of function classification system in children with cerebral palsy (CP). For this, relationship among the Manual Ability Classification System (MACS), the Gross Motor Function Classification System (GMFCS), and the functional status (WeeFIM) in children with cerebral palsy form September 2008 to August 2010. The participants was 217 children with CP in this study. The 217 children were evaluated by using the MACS for their hand function and by using the GMFCS for their motor function. The functional status were assessed by using the Functional Independence Measure of Children (WeeFIM). The GMFCS have a significant correlation with total score and domains of WeeFIM (p<.05) There were a significant correlation with total score and domains of WeeFIM (p<.05) except no significancy with communication domain in dyskinesia type. The highest number of participants were in level 1 (20.3) and level 5 (40.6%) for GMFCS. For MACS, the highest number of participants were level 2 (48.8%) and level 5 (16.6%). The function classification of GMFCS and MACS in practice will provide usefulness for assessment of function in children with CP.

• The KIPS Transactions:PartD
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• v.10D no.1
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• pp.23-32
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• 2003

Since the data is collected from disparate sources in many actual data mining environments, it is common to have data values in different abstraction levels. This paper shows that such multiple abstraction levels of data can cause undesirable effects in decision tree classification. After explaining that equalizing abstraction levels by force cannot provide satisfactory solutions of this problem, it presents a method to utilize the data as it is. The proposed method accommodates the generalization/specialization relationship between data values in both of the construction and the class assignment phase of decision tree classification. The experimental results show that the proposed method reduces classification error rates significantly when multiple abstraction levels of data are involved.

• Korean Journal of Remote Sensing
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• v.23 no.2
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• pp.89-101
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• 2007

This paper investigates the effects of the fusion of multifrequency (C and L bands) polarimetric SAR data in land-cover classification. NASA JPL AIRSAR C and L bands data were used to supervised classification in an agricultural area to simulate the integration of ALOS PALSAR and Radarsat-2 SAR data to be available. Several scattering features derived from target decomposition based on eigen value/vector analysis were used as input for a support vector machines classifier and then the posteriori probabilities for each frequency SAR data were integrated by applying a probabilistic ratio model as a decision level fusion methodology. From the case study results, L band data had the proper amount of penetration power and showed better classification accuracy improvement (about 22%) over C band data which did not have enough penetration. When all frequency data were fused for the classification, a significant improvement of about 10% in overall classification accuracy was achieved thanks to an increase of discrimination capability for each class, compared with the case of L band Shh data.

• Journal of the Korean earth science society
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• v.42 no.2
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• pp.221-244
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• 2021

To examine the limitations of the the Blosser's (1973) 'Question Category System for Science', which is mainly applied to research in science education in Korea, we analyzed 30 hours of class conversation in a small group program (for first-year middle school students) with a researcher participating as a teacher. When classified according to Blosser's (1973) classification system, distinguishing between 'open and closed questions' was difficult. Questions with the same content were classified into different types depending on their context, whereas some questions could not be classified appropriately. Additionally, higher-level questions (open questions) were not more effective than lower-level questions (closed questions) in improving students' thinking ability or participation in class. The questionnaire's effect differed depending on the information provided by the teacher before questioning, and in many cases, previous question influenced the next questions. However, in the science education questionnaire research based on Blosser's (1973) classification, which is mainly conducted in Korea, each individual question is classified according to the cognitive level, disregarding the influence of context and prior and subsequent questions and the quality of instructions is evaluated by the frequency of higher level questioning. The results of this study indicate that the method of evaluating instruction quality based on the frequency of high-level questioning, which is currently conducted in domestic science education inquiry research, should be avoided.