• Journal of Science Education
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• v.33 no.2
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• pp.173-183
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• 2009

We aimed to examine difference between the brain activation pattern based upon hypothesis-generating and hypothesis-understanding among the pre-service teachers not majoring in biology, the pre-service teachers majoring in biology and the biologists using fMRI. We have designed two sets of task paradigm on the biological phenomena: hypothesis-generating and hypothesis-understanding and thirty six healthy participants (twelve participants per group) performed the tasks. The result was showed that 1) there were significant differences of brain activation patterns in hypothesis-generating on the biological phenomena among three groups, 2) the left middle frontal gyrus in the part of DLPFC region was play an important roles of hypothesis-generating and make a significant differences among three groups. The superior ability of biologists were based upon the activation of middle frontal gyrus which has secondary integration of abstract information, and 3) there were no significant differences of brain activation patterns in hypothesis-understanding on the biological phenomena among three groups. These findings provided that scientist might be skillful in generating a new scientific knowledge.

• Journal of Korean Elementary Science Education
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• v.25 no.2
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• pp.126-140
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• 2006

The purpose of this study was to design a 'Form of Abduction' which is the 'guide form used in generating hypothesis through abduction', and to analyze the features of the hypotheses generated with the 'Form of Abduction' compared with those generated without any special guide form. Through a review of Peirce's literature regarding the meaning and frame of abduction, a 'Form of Abduction' was designed as a three step format as follows: (i) writing down what is doubted, (ii) wiling tentative explanations which replace what is doubted with what is believed, (iii) writing the tentative explanations as hypotheses. The thirty four pre-service elementary teachers were asked to generate hypotheses without a 'Form of Abduction' at first, and then were asked to do so again using the form. The results of analysing the features of the hypotheses were as follows: in the case of using a 'Form of Abduction', firstly, the types of misunderstanding or mis-adapting the meaning of hypothesis were found to be rare, and secondly, the types of 'giving explanation about the cause of problematic situations through analogical inferencing from the existing knowledge' were found to be double the rate of when no special guide form was used. In conclusion, the hypotheses generated with the 'Form of Abduction' had the features of satisfying the original meaning of hypothesis, i.e. 'explaining the cause of phenomenon and leading to knowledge expansion'. These results also showed that using a 'Form of Abduction', although its form was simple, could be a way of helping students generate hypothesis properly in science classes.

• Journal of The Korean Association For Science Education
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• v.37 no.6
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• pp.1015-1023
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• 2017

The purpose of this study is to investigate the process of development of explanatory hypothesis being generated by middle school students and the factors that affect the process in water wave interference phenomena by analogy scaffolding. For this purpose, the processes on how explanatory hypotheses were generated, revised, and then elaborated by analogy scaffolding were investigated and analyzed. The subjects for the study were 60 eighth grades students in one middle school divided into 12 groups according to their cognitive level measured by GALT. The research findings are as follows: First, it was found that there is a regular pattern in development of explanatory hypothesis by students about water wave phenomenon; second, the cognitive level of the student affected apparently on the students' hypothesis development process, however, it was also observed that students with inferior cognitive level could form a scientific explanatory hypothesis in the second stage of the scaffolding; third, the analogy scaffolding actually helped the students in formulating hypothesis. In conclusion, analogical reasoning can be a meaningful and powerful strategy for secondary school students to formulate explanatory hypothesis.

• Journal of The Korean Association For Science Education
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• v.23 no.3
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• pp.215-228
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• 2003

The present study is to analyze the arguments about the generation of declarative scientific-knowledge in the philosophy of science and invent a structured model of the process of scientific-knowledge generation with the types of the generated scientific-knowledge. The invented model shows that scientific-knowledge generation is a distinctive process with the processes of inductive, abductive, and deductive thinking. Furthermore, inductive process is included with observation, which is consisted of simple observation and operative observation, and rule-discovery which is involved with the processes of commonness discovery, classification, pattern discovery, and hierarchical relationship. Also, abductive process has two components. One component generates question and second component generates hypothesis in which the process consists of representing question situation, identifying experienced situation, identifying causal explicans, and generating hypothetical explicans. Finally, deductive process is involved with logical inventing test method and evaluation criteria, concrete inventing test method and evaluation criteria, evaluating hypothesis, and making conclusion.

• Journal of The Korean Association For Science Education
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• v.26 no.1
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• pp.88-98
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• 2006

The purpose of this study was to analyze the process of scientists' science knowledge generation by employing four creative scientists as participants. Raw protocols were collected by an intensive interview method and then analyzed by a psychological modelling procedure. The present study showed that the process of knowledge generation divided into the processes of inductive, abductive, and deductive thinking. Furthermore, the inductive process in simple and operative observation was involved in the processes of generating a question, conjecture/prediction, designing an operational method, operation, and simple observation. Also, the abductive process had two components; question generation, and hypothesis generation which consisted of analyzing questions, searching explicans, and constructing hypothesis. Finally, the deductive process involved inventing abstract test methods, inventing abstract criteria, inventing concrete test methods, inventing concrete criteria, collecting results, and evaluating hypotheses and stating conclusions.

• Journal of The Korean Association For Science Education
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• v.23 no.2
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• pp.200-213
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• 2003

This study is one of the successive studies for investigating students' processes of generating and evaluating scientific hypothesis. In this study, I analyzed the characteristics of students' experimental design to test whether the given hypotheses were correct or not. As results, it was found that (1) 3 components (experimental method, prediction of the result of experiment, evaluation of hypothesis) were needed to complete description of the experimental design, (2) students tried to test hypothesis considered as being correct as well as hypothesis considered as being false by students, (3) student tried to confirm hypothesis, which was considered as being correct, based on theoretical approach rather than experimental approach, (4) students' experimental design could be classified as two types, that is, direct experimental testing and comparative experimental design, and the latter could be classified as two subtypes; positive comparative one and negative comparative one, (5) students showed tendency to design positive comparative experiment when they considered hypothesis as being correct, and vise versa, (6) students preferred the prediction which could confirm the hypothesis when they considered the hypothesis as being correct, and vise versa, (7) many students rejected contradicting prediction even though they did not actually conduct experiment yet.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.267-270
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• 2016

차량 인식 기술은 지능형 자율주행 차량 및 첨단 운전자 보조 시스템 (ADAS: Advanced Driver Assistance System)의 개발에 있어서 핵심 요소 기술이다. 영상 기반의 차량 검출 알고리즘은 일반적으로 가설 생성 (HG: Hypothesis Generation) 단계와 가설 검증 (HV: Hypothesis Verification) 단계로 구성된다. 가설 검증 단계는 관심 영역 (ROI: Region of Interest) 내에 차량이 존재할 가능성이 있는 후보 영역을 만드는 단계로서 전체 알고리즘의 복잡도와 성능에 영향을 미친다. 본 논문에서는 관심 영역 내에 존재하는 그림자와 차량으로 인한 에지를 검출하고 두 특징 정보를 결합한 가설 생성 방법을 제안하고 차량 후방 영상을 이용하여 사각지대를 감시하는 시스템에 제안 방법을 적용하는 실험을 수행하였다. 실험 결과로 제안 방법이 차량 후보 영역의 존재 여부와 위치 정보를 판단하기에 적합하며 이를 통해 차량 검출 알고리즘의 계산 복잡도를 개선하면서도 다음 단계인 가설 검증 시 검출 성능을 향상시킬 수 있음을 확인하였다.

• Korean Journal of Logic
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• v.23 no.2
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• pp.71-115
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• 2020

It seems certain that even if the same evidence is in itself given for any hypotheses, the way how it is obtained makes some differences in its support degree of them. In this respect, it is worth paying our attention to Mayo's conception of "severe test" and her technical development of it, which are just concerned with the procedures of getting evidence. Nonetheless, there have been criticisms against her theory from various respects. Among them, here this paper focuses on those especially raised by Jung (2018) and Iseda (1999). And it attempts to defend Mayo's theory on behalf of her against their critiques. For this purpose, the paper also proposes particularly a new concept of what is called the "mechanism generating an evidence-hypothesis". On the way, Mayo's own faults are revealed as well.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.383-386
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• 2008

본 논문에서는 성공적인 롱테일을 위한 가설을 생성하고 시사점을 제시하고자 한다. 이를 위해서 롱테일 9가지 법칙을 중심으로 성공과 실패 사례들을 분석하여 롱테일의 성공에 영향을 미치는 변수를 도출하고 이를 귀납 학습을 통해 가설을 생성한 후에 그 의미를 해석하여 롱테일 전략을 구사하고자 하는 기업과 실무 담당자 및 관련분야의 연구자에게 시사점을 주고자 한다.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.115-123
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• 1999

산업계 전반에 걸친 오랜 정보시스템 운용의 결과로 대용량의 데이타들이 축적되고 있다. 이러한 데이타로부터 유용한 지식을 추출하기 위해 여러 가지 데이타 마이닝 기법들이 연구되어왔다. 특히 데이타 웨어하우스의 등장은 이러한 데이타 마이닝에 있어 필요한 데이타 제공 환경을 제공해 주고 있다. 그러나 전문가의 적절한 판단과 해석을 거치지 않은 데이타 마이닝의 결과는 당연한 사실이거나, 사실과 다른 가짜이거나 또는 관련성이 없는(trivial, spurious and irrelevant) 내용만 무수히 쏟아낼 수 있다. 그러므로 데이타 마이닝의 결과가 비록 통계적 유의성을 가진다 하더라고 그 정당성과 유용성에 대한 검증과정과 방법론의 정립이 필요하다. 데이타 마이닝의 가장 어려운 점은 귀납적 오류를 없애기 위해 사람이 직접 그 결과를 해석하고 판단하며 아울러 새로운 탐색 방향을 제시해야 한다는 것이다. 본 논문의 목적은 이러한 데이타 마이닝에서 추출된 결과를 검증하고 아울러 새로운 지식 탐색 방향을 제시하는 방법론을 정립하는데 있다. 본 논문에서는 데이타 마이닝 기법 중 연관규칙탐사로 얻어진 결과를 설명가능성 여부의 판단을 통해 검증하는 기법을 제안하며, 이를 통해 얻어진 검증된 지식을 토대로 일반화를 통한 새로운 가설을 생성하여 데이타 웨어하우스로부터 연관규칙을 검증하는 일련의 아키텍쳐(architecture)를 제시하고자 한다. 먼저 데이타 마이닝 결과에 대한 설명의 필요성을 제시하고, 데이타 웨어하우스와 데이타 마이닝 기법들에 대한 간략한 설명과 연관규칙탐사에 대한 정의 및 방법을 보이고, 대상 영역에 대한 데이타 웨어하우스의 스키마를 보였다. 다음으로 도메인 지식(domain knowledge)과 연관규칙탐사를 통해 얻어진 결과를 표현하기 위한 지식표현 방법으로 Relational predicate Logic을 제안하였다. 연관규칙탐사로 얻어진 결과를 설명하기 위한 방법으로는 연관규칙탐사로 얻어진 연관규칙에 대해 Relational Predicate Logic으로 표현된 도메인 지식으로서 설명됨을 보이게 한다. 또한 이러한 설명(explanation)을 토대로 검증된 지식을 일반화하여 새로운 가설을 연역적으로 생성하고 이를 연관규칙탐사론 통해 검증한 후 새로운 지식을 얻는 반복적인 Explanation-based Data Mining Architecture를 제시하였다. 본 연구의 의의로는 데이타 마이닝을 통한 귀납적 지식생성에 있어 귀납적 오류의 발생을 고메인 지식을 통해 설명가능 함을 보임으로 검증하고 아울러 이러한 설명을 통해 연역적으로 새로운 가설지식을 생성시켜 이를 가설검증방식으로 검증함으로써 귀납적 접근과 연역적 접근의 통합 데이타 마이닝 접근을 제시하였다는데 있다.