• 한국수학교육학회지시리즈A:수학교육
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• 제51권4호
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• pp.377-393
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• 2012

The understanding demands the different degree of the understanding according to student's learning situation. In this paper, we investigate what is the foundation for the complete understanding for the generalization in the generalization-process and justification of some concepts or some theories, through a case. We discovered that the completeness of the understanding in the generalization-process and justification requires 'the meaningful-mental object' which can give the meaning about the concept or theory to students. Students can do the generalization-process through the construction of 'the meaningful-mental object' and confirm the validity of generalization through 'the meaningful-mental object' which is constructed by them. And we can judge the whether students construct the completeness of the understanding or not, by 'the meaningful-mental object' of the student. Hence 'the meaningful-mental object' are vital condition for the generalization-process and justification.

• Communications for Statistical Applications and Methods
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• 제31권5호
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• pp.467-485
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• 2024

Policymakers and educational researchers have grown increasingly interested in the extent to which study results generalize across different groups of students. Current generalization research in education has largely focused on the compositional similarity among students based on a set of observable characteristics. However, generalization is defined differently across various disciplines. While the concept of compositional similarity is prominent in causal research, generalization among the statistical learning community refers to the extent to which a model produces accurate predictions across samples and populations. The purpose of this study is to assess the extent to which concepts related to contextual generalization (based on compositional similarity) are associated with the ideas related to model generalization (based on accuracy of prediction). We use observational data from the Programme for International Student Assessment (PISA) 2015 wave as a case study to examine the conditions under which contextual and model generalization are aligned. We assess the correlations between statistical measures that quantify compositional similarity and prediction accuracy and discuss the implications for generalization research.

• 지능정보연구
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• 제14권4호
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• pp.1-18
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• 2008

사례 기반 계획 시스템은 과거의 유사한 사례 계획들을 이용함으로써 새로운 문제를 위한 계획을 효율적으로 생성 할 수 있다. 하지만 대부분의 기존 사례 기반 계획 시스템들은 사례 검색 및 사례 일반화를 위한 제한적 기능들만을 제공할 뿐만 아니라, 계획 생성과정에 사용자의 참여를 허용하지 않는다. 본 논문에서 제안하는 JCBP 시스템은 효율적인 메모리 사용과 사례 검색을 위해 각 도메인의 동일한 작업 목표를 가진 사례들을 개별 사례 베이스로 그룹화하고, 이들에 대한 색인을 유지한다. 또 이 시스템은 문제모델로부터 자동으로 추출한 휴리스틱 지식을 사례 적응 단계에 이용하며, 목표 회귀를 통한 사례 일반화 기능도 제공한다. 또한 JCBP 시스템은 대화형 모드를 통한 혼합 주도 계획 생성 기능도 제공한다. 이와 같이 JCBP 시스템은 문제 해결을 위해 사용자의 기호와 지식을 이용함으로써 사용자의 요구를 더 잘 만족하는 해 계획을 생성할 수 있을 뿐 아니라 계획 생성의 복잡도도 줄일 수 있다.

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제6권1호
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• pp.33-37
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• 1999

We obtain a generalization of Behera and Panda's result on nonlinear scalar case to the vector version.

• Bulletin of the Korean Chemical Society
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• 제16권10호
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• pp.952-957
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• 1995

In order to ease the treatment of anisotropic potential when developing the variational RRKM theory, we applied Fano-Racah's recoupling theory to the multipole-multipole interaction, resulting in the great simplification of the anisotropic potentials. The treatment appears as a generalization of Keesom transformation in case of dipole-dipole interaction and provides us with great insights to the characteristics of tensorial interactions in the multipole-multipole interaction system.

• 응용통계연구
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• 제25권1호
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• pp.225-237
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• 2012

This study proposes a quantification algorithm for a PLS method with several sets of variables. We called the quantification method for PLS with more than 2 sets of data a generalization. The basis of the quantification for PLS method is singular value decomposition. To derive the form of singular value decomposition in the data with more than 2 sets more easily, we used the constraint, $a^ta+b^tb+c^tc=3$ not $a^ta=1$, $b^tb=1$, and $c^tc=1$, for instance, in the case of 3 data sets. However, to prove that there is no difference, we showed it by the use of 2 data sets case because it is very complicate to prove with 3 data sets. The keys of the study are how to form the singular value decomposition and how to get the coordinates for the plots of variables and observations.

• 대한수학교육학회지:학교수학
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• 제10권1호
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• pp.23-42
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• 2008

본 연구는 4명의 초등학교 5학년 수학영재들이 주어진 대수 과제를 해결하는 과정에서 나타나는 일반화 전략과 그에 대한 정당화의 특성을 살펴보고, 그러한 과정에서 나타난 메타인지적 사고 특성을 분석한 연구이다. 문헌 검토를 통해 일반화 전략 정당화의 유형과 메타인지적 사고를 위한 분석틀을 마련하고 학생들의 다양한 반응들을 분석하였다. 일반화 과정에서 학생들은 과제가 내포한 복합적인 관계나 순환적인 관계를 다양한 경로로 파악했고, 이 관계를 토대로 일반식을 이끌어냈다. 이러한 일반화에 대한 정당화 유형은 대부분 경험적 정당화와 형식적 정당화의 수준을 보여주었다. 메타인지적 사고의 특성에서 학생들은 자신이 보유한 지식을 복합적으로 동원하였고, 이러한 지식을 과제와 연결시키기 위하여 메타인지적 기능 영역인 '감시', '평가', '제어'와 같은 행동들을 수시로 발현시켰다. 감시, 평가, 제어의 사고과정은 학생들이 과제의 새로운 조건을 파악하게 하는 원동력이 되었고, 자신의 사고과정을 점검함으로써 특정한 사례들에 대한 값을 정당화하게 하며, 전략을 수정 변경하면서 해결과정을 지속적으로 이끌어나가게 했다.

• 음성과학
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• 제15권2호
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• pp.145-156
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• 2008

The purpose of this study was to investigate the reason why puberphonia patients revisit hospitals after completion of its treatment and the effect of visual voice therapy on voice improvement. The subject the study included are two puberphonia patients who had been diagnosed by laryngologists. The patients who were diagnosed as puberphonia by the laryngologist and treated by the a speech pathologist, completed their treatment and revisited hospital. The study used laryngoscopy, acoustic and aerodynamic analysis before and after voice treatment to investigate what change happens and why generalization of treatment effect did not occur naturally in the daily life. Their voices of pre-therapy and post-therapy were analyzed on the aspects of acoustics, aerodynamics and laryngeal endoscopy. As a result, it was found that fundamental frequency(Fo) was significantly lowered in respect of acoustic change and maximum phonation time(MPT) was increased to some extent in respect of aerodynamic change. In addition, there was a laryngoscopic change and commissure glottic chink disappeared generally in the phonation. The reason why the generalization did not occur naturally in one’s daily routine was mainly due to the fact that high-pitched voicing was used for a long time. Other than that reason, negative reaction or attitude of surrounding people and lack of confidence were to blame for failure of generalization.

• Korean Journal of Mathematics
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• 제27권3호
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• pp.803-817
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• 2019

In this paper, we provide a new version of Steffensen inequality for p-calculus analogue in [17, 18] which is a generalization of previous results. Also, the conditions for validity of reverse to p-Steffensen inequalities are given. Lastly, we will obtain a generalization of p-Steffensen inequality to the case of monotonic functions.

• 말소리와 음성과학
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• 제15권3호
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• pp.83-88
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• 2023

This study investigates the fine-tuning of large-scale Automatic Speech Recognition (ASR) models, specifically OpenAI's Whisper model, for domain-specific applications using the KsponSpeech dataset. The primary research questions address the effectiveness of targeted lexical item emphasis during fine-tuning, its impact on domain-specific performance, and whether the fine-tuned model can maintain generalization capabilities across different languages and environments. Experiments were conducted using two fine-tuning datasets: Set A, a small subset emphasizing specific lexical items, and Set B, consisting of the entire KsponSpeech dataset. Results showed that fine-tuning with targeted lexical items increased recognition accuracy and improved domain-specific performance, with generalization capabilities maintained when fine-tuned with a smaller dataset. For noisier environments, a trade-off between specificity and generalization capabilities was observed. This study highlights the potential of fine-tuning using minimal domain-specific data to achieve satisfactory results, emphasizing the importance of balancing specialization and generalization for ASR models. Future research could explore different fine-tuning strategies and novel technologies such as prompting to further enhance large-scale ASR models' domain-specific performance.