• Journal of Gifted/Talented Education
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• v.22 no.4
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• pp.805-821
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• 2012

The purpose of this study was to investigate the relationship between epistemic beliefs and creativity of gifted students. To resolve the above research questions, this study used epistemic beliefs inventory and Torrance's TTCT to 87 1st grade gifted middle school students enrolled in Daegu metropolitan city. The results of this study are as follows. Firstly, sophistical epistemic beliefs of the gifted students were higher than their naive epistemic beliefs. Secondly, Pearson's correlation analysis showed significant relations between fixed ability and verbal creativity, and between provisional knowledge and verbal creativity, and showed significant relations between variables of sophistical epistemic beliefs and figural creativity. Lastly, this study revealed that fixed ability, expert authority and provisional knowledge explain considerable amount verbal creativity of the gifted students. And authority of the acceptance and provisional knowledge affect considerably their figural creativity.

• Journal of The Korean Association For Science Education
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• v.39 no.4
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• pp.511-523
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• 2019

In this age of the $4^{th}$ industrial revolution, we, science educators, are giving more light on students' agentic behavior in the process of educating future scientist. This study, with the analytic lens of epistemic agency, explores the key stages of a student-driven R&E program rather than the scientist-led R&E program. It also examines to understand the emergence of students' epistemic agency in each stage of R&E. Data from participant observation for 18 months and in-depth interviews were collected and analyzed with the constant comparative method of grounded theory. This study identifies and describes five key stages of student-driven R&E: The stage of exploring research theme, designing research, performing lab activity, interpreting results, and communicating research. It also finds that (a) students' epistemic agency emerged with the constant interactions with the R&E structure; (b) students' epistemic agency has deep relations with the epistemic beliefs of the students; (c) students positioned themselves as decision-makers in the R&E practice; (d) the redistributed power and authority of the R&E contributed to the emergence of students' epistemic agency.

• Journal of Korean Elementary Science Education
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• v.33 no.4
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• pp.683-699
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• 2014

The purpose of this study was to explore the characteristics of teacher learning and changes in teachers' epistemic beliefs within a learning community of elementary science teachers. Three in-service elementary teachers who majored in elementary science education in a doctoral course of a graduate school of education participated in the study, and learning activities in the teachers' beginning learning community provided a context for the study. Data sources included field notes produced by the researcher who engaged jointly in the teacher learning community as a coach, audio-recordings of the teachers' narratives, and artifacts generated by the teachers during the process of teacher learning. Complementary analyses of these multiple sources of data revealed that epistemic beliefs of the three elementary teachers were different and that each teacher made a different plan of science instruction based on his own epistemic belief even after the learning experiences within the teacher community. It was therefore suggested that science teacher education programs should be organized in consideration of the nature of teachers as constructivist learners and their practical resources.

• 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.35 no.2
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• pp.199-208
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• 2015

An enhanced understanding of the nature of scientific knowledge-what counts as a scientific argument and how scientists justify their claims with evidence-has been central in Korean science instruction. However, despite its importance, scholars are generally concerned about the difficulty of both addressing and improving students' epistemic understanding, especially for students of a young age. This study investigated Korean middle school students' epistemic ideas about claim, data, evidence, and argument when they engage in reading both text-based and data-inscription arguments. Compared to previous studies, Korean middle school students show a sophisticated understanding of the role of claim and evidence. Yet, these students think that there is only a single way of interpreting data. When comparing students' ideas from text-based and data-inscription arguments, the majority of Korean students barely perceive text description as evidence and recognize only measured data as evidence.

• Research in Mathematical Education
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• v.24 no.3
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• pp.131-136
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• 2021

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.23-29
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• 2018

There is a growing interest in computer based learning system that can learn a new concept of epistemic frames in response to the demands of $21^{st}$ century Skills. However, there is little research on the theoretical models for the epistemic frames applicable in the changing educational environment and the measurement theories (Psychometric theory, Learning Analytics) that can be evaluated. Therefore, in this study, we propose the core elements of the learning system prototype that can educate the epistemic frames in the practical community. Furthermore, this study explores and suggests an appropriate psychometric measurement theory (learning analytics) that allows us to measure, infer, and evaluate a learner.

• Journal of The Korean Association For Science Education
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• v.36 no.1
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• pp.45-61
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• 2016

The purpose of this study is to explore students' epistemic goals and considerations in designing an experiment task and to investigate how a shift in the students' epistemology affected their argumentation. Four 7th grade students were selected as a focus group. According to the results, when they designed their own experiment, their epistemic goal was 'scientific sense-making' and their epistemic considerations - the perception of the nature of the knowledge product was 'this experiment should explain how something happened', the perception of the justification was 'we need to use our interpretation of the data' and the perception of the audience was 'constructor' - contributed to designing their experiment actively. When students tried to select one argument, their epistemic goal shifted to 'winning a debate', showing 'my experiment is better than the others' with the perception of the audience, 'competitor'. Consequently, students only deprecated the limits of different experiment so that they did not explore the meaning of each experiment design deeply. Eventually, student A's experiment design was selected due to time restrictions. When they elaborated upon their result, their epistemic goal shifted to 'scientific sensemaking', reviewing 'how this experiment design is scientifically valid' through scientific justification - we need justification to make members accept it - acting as 'cooperator'. Consequently, all members engaged in a productive argumentation that led to the development of the group result. This study lays the foundation for future work on understanding students' epistemic goals and considerations to prompt productive argumentation in science classrooms.

• 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.

• Korean Journal of Logic
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• v.18 no.3
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• pp.389-436
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• 2015

Epistemic dogmatism claims that if it seems P to you then you have immediate justification to believe P. The view has been faced with a problem that it is incompatible with Bayesianism, especially raised by Roger White(2006). James Pryor(2013), defending epistemic dogmatism, has given a reply for the problem. In this paper, first, I show some problems on Pryor's reply. Then, I present a new kind of suggestion to deal with the problem, which avoids problems Pryor's reply has. Finally, I suggest a different diagnosis on the problem.