• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.216-225
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• 2004

Cognitive conflict plays a very important role towards conceptual change in science education. Many research were conducted on the topic, but they were limited and failed to determine the effectiveness of cognitive conflict strategies for conceptual change on science instruction. It is worth noting that the levels of cognitive conflict varied the same given situation. Besides, the conceptual change resulted in different forms, despite the same level of cognitive conflict. Assuming that one explanation could be found in the learners' characteristics, this study investigated the cognitive conflict and scientific conceptual change by learners' characteristics of middle school students. A proper understanding of the cognitive conflict will help science teachers to apply effectively the strategies towards science conceptual instruction. In this study, learners' characteristics are 'intelligence', 'cognitive level', 'general grade of science subject', 'cognitive style', 'personality', and 'attitudes related to science'. The results says; the intensity of cognitive conflict correlated with students' personality (reflectiveness) and attitudes related to science, and conceptual change correlated with intelligence and cognitive level.

• School Mathematics
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• v.9 no.2
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• pp.223-240
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• 2007

The purpose of this study was to investigate the degree to which the middle school mathematics curriculum matched the item difficulty levels of representative mathematics items. The items used in this study were developed for the National Assessment of Educational Achievement. Ranks for difficulty values of the 60 multiple-choice item were calculated via both Classical Test Theory and Item Response Theory and correlated with the rank order of the mathematics content and cognitive domains sequence. There are six content domains; number and operation, algebra, measurement, figure, pattern and function, and probability and statistics. The cognitive domains include computation, understanding, reasoning and problem-solving. Results suggest a congruence between cognitive domain's sequence and item difficulty levels of items based on that sequence. This finding indicates that the linear or hierarchical assumptions concerning the sequence appears to be reasonable. The characteristics of items that were exceptions to this trend were addressed.

• Communications of Mathematical Education
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• v.19 no.1 s.21
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• pp.271-290
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• 2005

오래 전부터 수학과의 연구는 학생들의 문제 해결력에 관하여 집중되어 온 것이 사실이다. 그럴 때마다 수학적 사고력에 관한 연구도 상당히 많은 부분이 있어 왔다. 본고에서는 학생들의 수학적 사고를 돕기 위한 방법으로 메타 인지를 강조함으로써 보다 까다로운 (비정형) 문제들의 문제 해결을 돕고자 하였다. 따라서 메타 인지를 유발하는 수업(소수 학습)을 통하여 학생들의 문제 해결력(정형 - 비정형)에서 유의미한 차이가 있는지를 알아보고, 궁극적으로는 메타 인지적 사고가 비정형 문제들을 해결하는 데 미치는 영향을 밝혀 수학 학습의 발전 방안을 찾고자 한다.

• Communications of Mathematical Education
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• v.8
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• pp.343-353
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• 1999

최근 인간의 인지발달을 사회문화적 관점에서 연구하려는 노력이 커지고 있다. 특히, 학교 밖에서의 수학과 학교 내에서의 수학을 비교하고, 학교 밖의 일상적 활동에서의 수학적 지식에 대한 관심이 커지고 있다. 본 연구에서는 직접적인 교수가 아닌 상황에서의 수학적 지식 형성을 살펴보고 이를 학교 수학과 어떻게 연결시킬 것인지에 대하여 논하고자 한다. 이를 위하여 구체적으로 인지와 상황과의 관계, 인지발달과 사회문화적 관계를 논하고, 일상적 상황에서의 수학학습에 대하여 기술한다.

• Journal of Gifted/Talented Education
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• v.24 no.1
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• pp.45-61
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• 2014

In this study, the meta-analysis technique was applied to investigate the effectiveness of gifted education in non-cognitive areas. Studies conducted during the years from 2002 to 2012 were searched and then the outcomes from the 18 studies were used for meta-analysis. The statistically positive effects were in the leadership programs (the combined effect size=1.226, p<.001), in the career programs (the combined effect size=1.103, p<.001), in the programs related to social skills (the combined effect size=1.684, p<.001), in the programs for gifted students who show underachievement (the combined effect size=1.486, p<.001), and in the bibliotherapy programs (the combined effect size=0.613, p<.001) for the gifted. Implications of the study were discussed in depth based on the results.

• Education of Primary School Mathematics
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• v.15 no.1
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• pp.1-11
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• 2012

Unlike traditional cognitive theory, situated cognition theory has been understood as a pedagogical theory that highly reflects the constructivist nature of learning. In order to practice situated learning in school, situations in the classroom are very important in which real teaching and learning occurs. Due to the fact that learning is the process of mental activities which is considerably dependent on conditions and context, it focuses more on the learning process and real-situation experiences rather than the result itself. In mathematics education, teaching students the ability to solve given problems in a conventional way is not enough anymore. The purpose of this research is to suggest the direction of mathematical education in the classroom by analyzing the implications of situated cognition theory and situated learning for 'doing mathematics' in classroom teaching. In this research, we introduce briefly about situated cognition theory and situated learning, compare the phenomenon of mathematics in the classroom to that in the mathematician's mind, and finally propose the applications of situated cognition theory in the mathematics education based on three perspectives of situated cognition theory the embodiment thesis, the embedding thesis, and the extension thesis.

• Journal of the Korean earth science society
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• v.26 no.5
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• pp.387-394
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• 2005

We have analyzed the science-gifted educational program (year 2002) at the Seoul National University in terms of its educational objectives, scientific models, and cognitive processes in scientific inquiry in order to provide insights into developing and improving science-gifted educational program. We assumed the following items as important factors for teaching scientifically gifted students: higher-order thinking skills involving synthesis domain in the educational objectives, highly abstract nature and complexity in the scientific models, cognitive processes of planning experiments in the cognitive processes in scientific inquiry. According to the analyzed results, the program has the following characteristics: (1) the rates of both higher and lower-order thinking skill domain in the educational objectives are similarly high, but the rate of synthesis domain is relatively low; (2) in the case of the scientific models, the rate of the multiple concepts and/or processes model is relatively low, while the level of the abstractness is relatively on average (3) cognitive processes of authentic scientific inquiry is not thoroughly reflected in the scientific inquiry activities, and very few cognitive processes of planning experiments factor is reflected. Therefore, we conclude in the synthesis domain in the educational objectives, multiple concepts and/or processes model, and cognitive processes of planning experiments should be especially reflected more on the science-gifted educational program in order to serve the needs of scientifically gifted students.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.639-653
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• 2019

The purpose of this study is to design an instructional framework and cognitive learning environment for AI education based on computational thinking in order to ground the theoretical rationale for AI education. Based on the literature review, the learning model is proposed to select the algorithms and problem-solving models through the abstraction process at the stage of data collection and discovery. Meanwhile, the instructional model of AI education through computational thinking is suggested to enhance the problem-solving ability using the AI by performing the processes of problem-solving and prediction based on the stages of automating and evaluating the selected algorithms. By analyzing the research related to the cognitive learning environment for AI education, the instructional framework was composed mainly of abstraction which is the core thinking process of computational thinking through the transition from the stage of the agency to modeling. The instructional framework of AI education and the process of constructing the cognitive learning environment presented in this study are characterized in that they are based on computational thinking, and those are expected to be the basis of further research for the instructional design of AI education.

• Communications of Mathematical Education
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• v.12
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• pp.141-153
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• 2001

지금의 수학교육현장은 결과적인 완성된 지식을 교사 주도하에 연역적으로 지도하는 것에 대해 문제가 있는 것으로 지적되어 그에 대한 대안으로 본 논문은 인지갈등을 통한 수학과 학습 모형을 이용한 교수-학습 방법을 제시하고자 한다. 인지 갈등을 유발하여 학습동기를 부여한 후 학생과 교사가 함께 그 갈등을 풀어 나감으로서 동기유발과 수학적 능력을 길러 줄 수 있을 것이다. 특히, 보편화된 컴퓨터 환경은 이러한 수업을 더욱 용이하게 함에 주목하고 또 문제 설정 등 다양한 기법을 통한 수업 모형을 효과적으로 활용할 수 있으며 주제에 따라서는 수학사적 내용을 첨가하여 흥미 있는 수업을 할 수 있다. 이러한 수업방법은 학생들의 흥미와 참여를 유도하게 되어 효과적일 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1067-1070
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• 2011

현재 뇌에 대한 연구는 지속적으로 연구되고 있는 분야 중에 하나이다. 뇌파나 뇌의 활동들을 분석할 수 있는 장비들이 개발되면서 더욱 활발하게 연구되어지고 있다. 기중 뇌의 기능에 대한 연구들도 화발하게 연구되고 있는 분야 중에 하나이다. 뇌의 기능은 보고, 듣고, 말하고, 생각하는 등의 모든 행위들과 연관되어있다. 또한 그러한 기능들은 인지능력이라고 하기도 한다. 인지능력은 인지적, 정신적인 요구가 필요하다. 이러한 것을 인지부하라고 하고, 과도한 인지적, 정신적인 요구는 인지과부하라고 한다. 인지부하에 따라서 인지능력은 영향을 받는다고 할 수 있다. 본 연구에서는 인지부하에 따라서 인지능력이 변화하는 정도를 실험하였다.