• Journal of Korean Elementary Science Education
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• v.37 no.2
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• pp.173-187
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• 2018

The purpose of this study is to clarify the specific terms of epistemic and epistemological by reviewing the literature on epistemological understanding of science learning, examine the necessity of epistemic discourse analysis based on the view of social epistemology, and provide an exemplar of practical epistemology analysis for elementary children's science learning. The review was conducted in terms of meaning and terminology about epistemic or epistemological approach to science learning, epistemology of/for science, and methodologies for epistemic discourse analysis. As an alternative way of epistemic discourse analysis in science classroom I employed practical epistemology analysis (by Wickman), evidence-explanation continuum (by Duschl), and DREEC diagram (by Maeng et al.). The methods were administered to an elementary science class for the third grade where children observed sedimentary rocks. Through the outcomes of analysis I sought to understand the processes how children collected data by observation, identified evidence, and constructed explanations about rocks. During the process of practical epistemology analysis the cases of four categories, such as encounter, stand-fast, gap, and relation, were identified. The sequence of encounter, stand fast, gap, and relation showed how children observed sedimentary rocks and how they came to learn the difference among the rocks. The epistemic features of children's observation discourse, although different from scientists' discourses during their own practices, showed data-only conversation, evidence-driven conversation, or explanation inducing conversation. Thus I argue even elementary children are able to construct their own knowledge and their epistemic practices are productive.

• SUVANNABHUMI
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• v.13 no.1
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• pp.7-33
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• 2021

With a view to contributing to the epistemological and methodological debates in Southeast Asian Studies, the aim of this paper is to examine critically the epistemic concepts and approaches in the social sciences and then to seek an epistemic reflexivity and its potential methodological applications to Southeast Asian Studies. Although the field of social sciences has attempted to search for a means of tackling the ontological and epistemological dilemmas in its major paradigms, Southeast Asian Studies still demands a more 'actor-centered' epistemic account of reflexive interaction between actors and social structures. Bearing in mind the need for a more 'actor-centered' epistemic approach, this paper continues to discuss the 'epistemic reflexivity' in the social sciences and its potential applications to Southeast Asian Studies. In this paper, I will consider 'epistemic reflexivity' as an alternative methodological orientation. It emerges as interlinked with the ontological standpoint of what is called 'reflexive approaches' and its application to the detailed 'reflexive methodology' which I am proposing in this paper. In doing so, this paper discusses the autobiographical experiences of the author arising from his ethnographic field research in North Sulawesi, Indonesia and their implication for a reflexive methodology in Southeast Asian Studies. In conclusion, the paper argues that we need a 'more actor-centered' epistemic framework to compensate for the epistemological and methodological dilemmas in the social sciences and the alternative framework will equip Southeast Asian Studies with a reflexive methodology relevant to the life-dynamics of the social world in the process of developing its inquiries, methodological technics, analysis, and validation.

• Computational Structural Engineering : An International Journal
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• v.1 no.2
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• pp.81-87
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• 2001

A framework for reliability analysis of structural components and systems under conditions of statistical and model uncertainty is presented. The Bayesian parameter estimation method is used to derive the posterior distribution of model parameters reflecting epistemic uncertainties. Point, predictive and bound estimates of reliability accounting for parameter uncertainties are derived. The bounds estimates explicitly reflect the effect of epistemic uncertainties on the reliability measure. These developments are enhance-ments of second-moment uncertainty analysis methods developed by A. H-S. Ang and others three decades ago.

• Journal of The Korean Association For Science Education
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• v.39 no.1
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• pp.59-72
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• 2019

The purpose of this study is to show that epistemic considerations can be used meaningfully in the argumentation of elementary students, and to provide data on students' epistemic considerations that will be the basis for designing and evaluating scientific argumentation. The epistemic considerations in students' small group argumentations were explored based on Epistemic Considerations in Students' Epistemologies in Practice: EIP' suggested by Berland et al. (2016). The major results of this study are as follows: First, epistemic considerations in elementary school students' small group argumentation appeared in all four aspects: Nature, generality, justification and audience. The epistemic considerations varied according to context in each discussion situation. Second, epistemic considerations did not exist independently. They influenced each other and helped to reveal new types of considerations. The results of this study confirmed that argumentation can be used in elementary school science class. Understanding how students are involved in argumentation and how these epistemic considerations can affect students' argumentation can be helpful to teachers who design and evaluate small group argumentation. Students' achievement level affected epistemic considerations but learning approach types did not affect on. In addition, epistemic considerations may have a positive or negative effect on each other depending on the discussion situation in the process of interaction. So consideration of normative argumentation rules and teaching strategies should be considered in order for epistemic considerations to positively affect each other.

• Research in Mathematical Education
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• v.24 no.3
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• pp.175-199
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• 2021

The Science Writing Heuristic (SWH) approach is described as an immersive argument-based science inquiry focusing particularly on learning through epistemic practices. In the literature, several previous studies indicate how academic achievement is positively influenced by the SWH. In addition to these previous studies, several meta-syntheses of qualitative data have been conducted on this particular topic. With these literatures in mind, a quantitative meta-analysis was conducted with ten studies (N = 724) to examine the effectiveness of the SWH on student achievement in Turkey. To present a thoroughly detailed report, this study also examined the following moderators: grade level, subject area, school location, intervention length, and report source. Overall, this study found that in Turkey, the SWH classrooms performed better in academic achievement tests than traditional lecture-based classrooms. Additionally, the SWH is more likely to be effective regardless of grade levels, subject areas, and school locations.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.65-66
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• 2006

본 논문은 퍼지논리의 유용성이 모호함을 다루는데 있다는 것과 이에 대한 예로서 퍼지논리로써 sorites paradox를 해결하는 방식을 소개하려는데 그 목적이 있다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.6
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• pp.605-613
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• 2014

Epistemic uncertainty, the lack of knowledge, is often more important than aleatory uncertainty, variability, in estimating reliability of a system. While the probability theory is widely used for modeling aleatory uncertainty, there is no dominant approach to model epistemic uncertainty. Different approaches have been developed to handle epistemic uncertainties using various theories, such as probability theory, fuzzy sets, evidence theory and possibility theory. However, since these methods are developed from different statistics theories, it is difficult to interpret the result from one method to the other. The goal of this paper is to compare different methods in handling epistemic uncertainty in the view point of calculating the probability of failure. In particular, four different methods are compared; the probability method, the combined distribution method, interval analysis method, and the evidence theory. Characteristics of individual methods are compared in the view point of reliability analysis.

• Journal of the Korean Society of Propulsion Engineers
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• v.22 no.2
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• pp.131-137
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• 2018

This paper analyzes the probability of failure for the equivalence ratio error. The control error of the equivalence ratio is affected by the aleatory and epistemic uncertainties. In general, reliability analysis techniques are easily incorporated to handle the aleatory uncertainty. However, the epistemic uncertainty requires a new approach, as it does not provide an uncertainty distribution. The Bayesian inference incorporates the reliability analysis results to handle both uncertainties. The result gives a distribution of failure probability, whose equivalence ratio does not meet the requirement. This technique can be useful in the analysis of most engineering systems, where the aleatory and epistemic uncertainties exist simultaneously.

• The Mathematical Education
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• v.52 no.3
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• pp.271-301
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• 2013

The purpose of the study was to investigate how students generalize and prove the factoring of $x^n-1$ using a Computer Algebra System application and the role of CAS in this process. The theoretical framework consists of the anthropological and the instrumental approach. In particular, the basis of the Task-Technique-Theorization(T-T-T) frame adapted form Chevallard's anthropological approach of Didactics is utilized. We found that Technique-Theorization emerges in mutual interaction between paper-and-pencil techniques and computer algebra techniques. And this interaction led to the students' theoretical reflection and conceptual understanding. In this process, we could identify three epistemic role of CAS : the role of checking the result, the role of cognitive stimulation and the role of extending thinking. Therefore CAS plays on a epistemic role of checking the result of a task, stimulating the student' cognition and extending their thinking as well as pragmatic role of producing the result of a input.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.602-607
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• 2008

A technique for reliability-based design optimization(RBDO) is developed based on the Bayesian approach, which can deal with the epistemic uncertainty arising due to the limited number of data. Until recently, the conventional RBDO was implemented mostly by assuming the uncertainty as aleatory which means the statistical properties are completely known. In practice, however, this is not the case due to the insufficient data for estimating the statistical information, which makes the existing RBDO methods less useful. In this study, a Bayesian reliability is introduced to take account of the epistemic uncertainty, which is defined as the lower confidence bound of the probability distribution of the original reliability. In this case, the Bayesian reliability requires double loop of the conventional reliability analyses, which can be computationally expensive. Kriging based dimension reduction method(KDRM), which is a new efficient tool for the reliability analysis, is employed to this end. The proposed method is illustrated using a couple of numerical examples.