• Journal of Elementary Mathematics Education in Korea
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• v.21 no.3
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• pp.461-483
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• 2017

The ability to think mathematically and to reason inductively are basics of logical reasoning and the most important skill which students need to acquire through their Math curriculum in elementary school. For these reasons, we need to conduct an analysis in their procedure in inductive reasoning and find difficulties thereof. Therefore, through this study, I found parts which covered inductive reasoning in their Math curriculum and analyzed the abilities and characteristics of students in solving a problem through inductive reasoning.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.51-63
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• 2001

In supervised machine learning, an induction algorithm, which is able to extract rules from data with learning capability, provides a useful tool for data mining. Practical induction algorithms are known to degrade in prediction accuracy and generate complex rules unnecessarily when trained on data containing superfluous features. Thus it needs feature subset selection for better performance of them. In feature subset selection on the induction algorithm, wrapper method is repeatedly run it on the dataset using various feature subsets. But it is impractical to search the whole space exhaustively unless the features are small. This study proposes a heuristic method that uses sensitivity analysis of neural networks to the wrapper method for generating rules with higher possible accuracy. First it gives priority to all features using sensitivity analysis of neural networks. And it uses the wrapper method that searches the ordered feature space. In experiments to three datasets, we show that the suggested method is capable of selecting a feature subset that improves the performance of the induction algorithm within certain iteration.

• Journal of Intelligence and Information Systems
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• v.4 no.2
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• pp.1-21
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• 1998

귀납적 학습방법들의 분류성능을 비교 평가하기 위하여 대표적 분류문제의 하나인 신용평가 문제를 사용하였다. 분류기로서 사용된 귀납적 학습방법론들은 통계학의 다변량 판별분석(MDA), 기계학습 분야의 C4.5, 신경망의 다계층 퍼셉트론(MLP) 및 Cascade Correlation Network(CCN)의 4 가지이며, 학습자료로는 국내 3개 신용평가기관이 발표한 신용등급 및 공포된 재무제표를 사용하였다. 신용등급 예측의 정확도에 의한 분류성능을 평가하였는데 연도별 평가와 시계열 평가의 두 가지를 실시하였다. Cascade Correlation Network이 가장 좋은 분류성능을 보였지만 4가지 분류기들 사이에 통계적으로 유의한 차이는 발견되지 않았다. 이는 사용된 학습자료가 갖는 한계로 인한 것으로 추정되지만, 성능평가 과정에 있어 학습자료의 전처리 과정이 분류성과의 제고에 매우 유효함이 입증되었다.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.291-300
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• 1999

본 논문은 인공신경망과 귀납적 학습방법 등의 인공지능 방법과 선물가격결정에 대한 기존 재무이론을 사용하여 일상어취로 표현되는 파생상품 가격예측 모형을 개발하는데 있다. 모형의 개발은 1단계로 인공신경망이나 기존의 선물가격결정이론(평균보 유비용모형이나 일반균형모형)을 이용하여 선물 가격을 예측한 후, 서로 비교 분석하여 인공신경망 모형의 우수성을 확인하였다. 귀납적 학습방법중 CART 알고리듬을 사용하여 If-Then 규칙을 생성하였다. 특히 실용적 측면에서 선물가격의 일상어휘화를 통한 모형개발을 여러 가지 방법으로 시도하였다. 이러한 선물가격 예측모형의 유용성은 일단 If-Then 규칙으로 표현되어 전문가의 판단에 확실한 이론적인 근거를 제시할 수 있는 장점이 있으며, 특히 의사결정지원시스템으로 활용화 될 경우 매우 유용한 근거자료로 활용될 수 있다. 이러한 선물가격 예측모형의 정확성은 분석표본과 검증표본으로 나누어 검증표본에서 세가지 기본모형(평균보유 비용모형, 일반균형모형, 인공신경망 모형)과 각 모형의 귀납적 학습방법 모형의 다른 3가지 어휘표현방법 3가지를 모형별로 비교 분석하였다. 분석결과 인공신경망모형은 상당한 예측력을 갖고 있는 것으로 판명되었으며, 특히 CART를 기반으로 한 일상어취 기반의 선물가격예측 모형은 예측력이 높은 것으로 나타났다.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.307-316
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• 2021

This study aims to explore the effects of deductive FFI and inductive FFI in L2 learners' grammatical achievement and their reaction to the grammar instruction. 84 students were placed into three groups: 29 given deductive FFI(DG), 28 receiving inductive FFI(IG), and 27 with traditional instruction(CG). All students completed pre/post tests and questionnaires, and took a delayed post test 9 weeks after the treatment. For statistical anlayses of all the quantitative data, a one-way ANOVA, paired samples T-test, and repeated measures ANOVA were performed. The results indicated that both deductive and inductive FFI affected learners' grammatical achievement and their achievement was sustained over time. Deductive FFI was more effective than inductive FFI, whereas the IG students more positively changed their attitudes and perceptions to the grammar instruction. These findings of the study imply that FFI should be valued in an Korean EFL classroom, which would contribute to further longitudinal research for its sustainability.

• School Mathematics
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• v.14 no.1
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• pp.85-107
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• 2012

Problem solving is important in school mathematics as the means and end of mathematics education. In elementary school, inductive reasoning is closely linked to problem solving. The purpose of this study was to examine ways of improving problem solving ability through analysis of inductive reasoning process. After the process of inductive reasoning in problem solving was analyzed, five different stages of inductive reasoning were selected. It's assumed that the flow of inductive reasoning would begin with stage 0 and then go on to the higher stages step by step, and diverse sorts of additional inductive reasoning flow were selected depending on what students would do in case of finding counter examples to a regulation found by them or to their inference. And then a case study was implemented after four elementary school students who were in their sixth grade were selected in order to check the appropriateness of the stages and flows of inductive reasoning selected in this study, and how to teach inductive reasoning and what to teach to improve problem solving ability in terms of questioning and advising, the creation of student-centered class culture and representation were discussed to map out lesson plans. The conclusion of the study and the implications of the conclusion were as follows: First, a change of teacher roles is required in problem-solving education. Teachers should provide students with a wide variety of problem-solving strategies, serve as facilitators of their thinking and give many chances for them ide splore the given problems on their own. And they should be careful entegieto take considerations on the level of each student's understanding, the changes of their thinking during problem-solving process and their response. Second, elementary schools also should provide more intensive education on justification, and one of the best teaching methods will be by taking generic examples. Third, a student-centered classroom should be created to further the class participation of students and encourage them to explore without any restrictions. Fourth, inductive reasoning should be viewed as a crucial means to boost mathematical creativity.

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.839-851
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• 2018

The purpose of this study is to analyze the science reasoning differences of elementary school students' science writing. For this purpose, science writing activities and analysis frameworks were developed. Science writing data were collected and analyzed. Third to sixth grade elementary students were selected from a middle high level elementary school in terms of a national achievement test in Seoul. A total of 320 writing materials were analyzed. The results of the analysis were as follows. Science writings show science reasoning at 52 % for $3^{rd}$ grade, 68% for $4^{th}$ grade, 85% for $5^{th}$ grade, and 89% for $6^{th}$ grade. Three types of scientific reasoning such as inductive reasoning, deductive reasoning, and abductive reasoning appeared in science writing of the third to sixth graders. The abductive reasoning appeared very low in comparing with inductive and deductive reasoning. Level three appeared the most frequently in the science writing of the elementary students. The levels of inductive and deductive reasoning in science writing increased according to increasing grade and showed statistical differences between grades. But the levels of abductive reasoning did not show an increasing aspect according to increasing grade and also did not show statistical differences between grades. The levels of inductive reasoning and deductive reasoning of the 3rd grade was very low in comparing with the other grades.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.291-300
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• 1999

본 논문은 인공신경망과 귀납적 학습방법 등의 인공지능 방법과 선물가격결정에 대한 기존 재무이론을 사용하여 일상어휘로 표현되는 파생상품 가격예측 모형을 개발하는데 있다. 모형의 개발은 1단계로 인공신경망이나 기존의 선물가격결정이론(평균보유비용모형이나 일반균형모형)을 이용하여 선물 가격을 예측한 후, 서로 비교분석하여 인공신경망 모형의 우수성을 확인하였다. 귀납적 학습방법중 CART 알고리듬을 사용하여 If-Then 규칙을 생성하였다. 특히 실용적 측면에서 선물가격의 일상어휘화를 통한 모형개발을 여러 가지 방법으로 시도하였다. 이러한 선물가격 예측모형의 유용성은 일단 If-Then 규칙으로 표현되어 전문가의 판단에 확실한 이론적인 근거를 제시할 수 있는 장점이 있으며, 특히 의사결정지원시스템으로 활용화 될 경우 매우 유용한 근거자료로 활용될 수 있다. 이러한 선물가격 예측모형은 정확성은 분석표본과 검증표본으로 나누어 검증표본에서 세가지 기본모형(평균보유비용모형, 일반균형모형, 인공신경망 모형)과 각 모형의 귀납적 학습방법 모형의 다른 3가지 어휘표현방법 3가지를 모형별로 비교 분석하였다. 분석결과 인공신경망모형은 상당한 예측력을 갖고 있는 것으로 판명되었으며, 특히 CART를 기반으로 한 일상어휘 기반의 선물가격예측 모형은 예측력이 높은 것으로 나타났다.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.166-176
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• 2022

The purpose of this study was to investigate the construct of Korean Version of Mental Toughness through Open-ended Questionnaire for soccer Players and coach. Data collection was inductively analyzed by distributing open questionnaires to 100 soccer players belonging to the Korean Football Association and 100 soccer coaches who participated in the training for obtaining a soccer coach's license. The resulting results are as follows. First, as a result of the inductive content analysis of korean version soccer players mental toughness, 11 factors were derived in the detailed area and 6 factors in the general area. Secondly, in the results on the mental toughness of Korean version soccer players according to soccer players and coaches, both players and coaches were found to be the highest factor, kkangdagu. I hope that the results of this study will be used as basic data for efforts to reduce the improving performance for soccer players and coaches.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.526-542
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• 2020

The purpose of this study was to examine contents through inductive analytic method and make systematic improvement method on satisfaction & dissatisfaction of university students participating in stipulated PGA pro-golf competitions as volunteers. The objects of this study were university students participating in 2019 The CJ Cup@Nine Bridges as volunteers. Excluding 76 copies judged to be disloyal out of 300 collected copies, the researcher analyzed the contents of 224 copies. To begin with, the contents were categorized in 10 detailed areas & 5 general areas by implementing the 2nd inductive categoric analysis mainly on the basis of 408 raw materials, the overall detailed areas of satisfaction on participation. Checking specifically, first, "satisfaction on experience in golf competition" was divided into golf competition, golf information, golf course. Second, "satisfaction on player" was divided into direct watching and famous player. Third, "satisfaction on environment" was divided into satisfaction on place & satisfaction on facilities. Fourth, "satisfaction on participation" was divided into satisfaction on service & satisfaction on competence. Finally, "satisfaction on interpersonal relation" was divided with application same to that of detailed area. In the case of dissatisfaction on participation, the contents were categorized in 10 detailed areas & 3 general areas by implementing the 2nd inductive categoric analysis mainly on the basis of 369 raw materials, the overall detailed areas. Checking specifically, first, dissatisfaction on competition operating system was detailedly divided into dissatisfaction on job system, dissatisfaction on operating system, dissatisfaction on delivery system. Second, dissatisfaction on treatment for volunteers was divided into dissatisfaction on treatment for volunteers & dissatisfaction on work hours. Third, dissatisfaction on welfare for volunteers was divided into dissatisfaction on food & beverage, dissatisfaction on costumes and dissatisfaction on incidental facilities.