• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.162-172
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• 2022

This study aimed to investigate the effects of science learning motivation and science self-efficacy on the science learning flow of preservice elementary teachers. The study recruited 77 preservice elementary teachers during their sophomore year from the B university of education. Descriptive statistics, correlation coefficient, and multiple regression were used for data analysis. The results were as follows: science learning motivation and science self-efficacy exerted a significant positive correlation with and a statistically significant effect on science learning flow. Satisfaction was the main influential subelement of science learning motivation. For science self-efficacy, the main influential subelements were emotional stability and language encouragement. Moreover, it was deduced that self-efficacy exerted a greater effect on science learning flow than science learning motivation.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.123-126
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• 2009

본 연구는 만화표현학습을 통한 창의성개발을 목적으로 만화의 창의성 평가요소를 추출하였으며 이를 통하여 실험대상의 창의성을 측정하였다. 먼저 만화의 창의성 요소로 유창성, 융통성, 독창성, 정교성과 더불어 흥미성 요소를 추출하였으며 각 요소를 통하여 객관적인 창의성 평가를 얻기 위해 각 요소에 평가항목을 제시하였다. 이 후 1 차 실험은 실험대상의 4 컷 만화제작을 통해 본 연구에서 제시한 창의성 요소를 이용하여 평가 하였으며 기본적인 창의성 요소를 확인한 결과 수업 전의 창의성이 높은 요소는 유창성, 낮은 요소는 독창성을 들 수 있었다. 또한 1 차 실험 후 실험대상의 작품평가에 대한 창의성 결과에 대해 정교성과 흥미성의 요소를 더욱 개발하기 만화 표현학습이 이루어 졌으며 이후 2 차 실험이 이루어졌다. 2 차 실험 또한 4 컷 만화제작을 통하여 창의성 변화요인을 살펴 보았으며 만화학습 후의 창의성 개발요소 중 높은 요소는 정교성, 낮은 요소는 독창성의 결과가 나타났다. 연구 결과 창의성개발을 위한 본 연구의 만화표현학습이 실험대상의 창의성 변화에 대해 영향을 끼친 사실을 확인할 수 있었다.

• 한국정보교육학회:학술대회논문집
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• 2006.08a
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• pp.148-1-148-7
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• 2006

학습에 동기부여를 위한 도전들이 있는 상황을 증진시키는데 효과적이고 도움이 되는 정보에는 어떠한 종류들이 있는지 조사되고 있다. 특히 Keller(1998)의 동기유발 요소 중에서도 학습자들의 요구나 흥미, 학습할 내용과의 관련성을 제시하는 것이 학습 동기와 학업성취를 높인다고 밝히고 있다. 그러나 이런 동기유발 요소만으로 학업성취가 높아지는 과정을 모두 설명하기는 부족하다. 웹기반 학습에서는 학습에 대한 의지를 지속시키지 않으면 학습자들이 학습에 대한 인지적 과부하와 방향상실을 경험하게 되어 오히려 학습의 효과가 떨어지게 된다. 이러한 관련성과 학습 의지적 요소에 관한 선행연구들을 바탕으로 웹 기반 학습에서 관련성과 학습 의지 요소 전략의 사용이 학습 동기 및 학업성취에 미치는 영향을 밝히고자 한다.

• Journal of Gifted/Talented Education
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• v.23 no.6
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• pp.1077-1098
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• 2013

Science gifted students enrolled in a program, where classes had either explicit or implicit instruction about self-directed learning, were asked to write what was satisfying after each class. This process was part of the evaluation of the program. Students' descriptions related to self-directed learning are compared in these two classes, one with explicit instruction and the other with implicit instruction. First, most of the components related to self-directed learning, which were reported in the previous research articles, were mentioned in students evaluation. If there was any specific description regarding what was satisfying, there were components of self-directed learning. Students descriptions were consistent with list of self-directed learning components, which was constructed based on the previous research. Therefore it may be concluded that students recognized most of the reported self-directed learning components and satisfied with them. Second, There were differences in the evaluation of two types of classes. The evaluation of class with explicit instruction contained more self-directed learning components more frequently. For example, students worked in small groups in both classes. However more students mentioned small groups in classes with explicit instruction. As a result the explicit instruction appears to be more effective for students to recognize the self-directed learning components. However some of the components mentioned in classes with implicit instruction were not mentioned in the classes with explicit instruction. Therefore classes with explicit and implicit instructions are complimentary with each other and both instructions are necessary.

• Communications of Mathematical Education
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• v.35 no.4
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• pp.359-376
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• 2021

In this study, in accordance with the research trend that the learner's emotions expressed positively or negatively in mathematics learning or the learner's beliefs and attitudes toward mathematics learning affect the results of mathematics learning, the learner's emotions and affective factors are analyzed in the learner's own learning. A power that can be adjusted according to a goal or purpose is needed, and I tried to explain this power through meta-affect. To this end, the meaning of the definitional and conceptual factors of meta-affect was explored based on prior studies. Affective factors of meta-affect were viewed as emotions, attitudes, and beliefs, and conceptual factors of meta-affect were viewed as awareness, evaluating, controlling, utilization, and monitoring, and the meaning of each conceptual factor was also defined. In this study, the conceptual factors and meanings of meta-affect in terms of using them to help in learning mathematics by controlling them, beyond the identification or examination of the characteristics of the affective factors, which are meaningfully dealt with in the field of mathematics education.

• Communications of Mathematical Education
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• v.36 no.4
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• pp.511-533
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• 2022

The purpose of this study is to develop a learning coaching model suitable for the mathematics subject by reflecting the characteristics of the mathematics subject and the mathematics teaching/learning process in the CARE learning coaching model that supports students' self-directed learning. The mathematics learning coaching model developed in this study is a 'step' and 'element' to apply coaching, and a 'strategy' for carrying out it. Mathematics learning coaching model evaluated rapport, trust, state management, and math pre-test as elements of 'creating a comfortable atmosphere', and problem recognition, hypercognition, restructuring, initiative, and math learning ability as elements of 'improving perception'. Self-efficacy, learning readiness, confirmation (feedback) as elements of the 'reawakening of learning immersion' stage, voluntary motivation and success experiences as elements of the 'empowerment' stage, and various math learning strategies to perform each element presented. The math learning coaching model can be used to help math teachers motivate students to learn and help students solve their own problems.

• Communications of Mathematical Education
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• v.15
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• pp.141-146
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• 2003

중학교 기하교육의 목적은 학생들의 수학적인 상황을 보는 기하학적인 직관과 논리적 추론능력의 향상이다. 그러나 이 두 가지 모두 만족스럽지 못한 실정이다. 본 고에서는 중학교 기하교육의 문제를 직관기하와 형식기하의 단절이라는 보고, 직관기하에서 증명의 학습요소를 미리 학습하여 직관기하와 형식기하를 연결하자는 대안을 제시한다. 이를 위해 7-나 교과서의 증명요소를 분석하고자 하였다. 관련문헌을 검토하여 7가지 증명의 학습요소를 선정한 후, 교과서를 분석하였다. 분석 결과, 기호화를 제외한 다른 증명의 학습요소는 매우 빈약한 것으로 나타났다. 직관기하 영역에 대한 교과서 구성이 개선될 필요가 있음을 알 수 있다.

• Journal of the Korean Chemical Society
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• v.66 no.6
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• pp.472-492
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• 2022

The purpose of this study was to investigate secondary science teachers' PCK components and subcomponents that are specific to online and offline learning environment. Data collection consisted of survey, class observation, and individual interviews of twelve science teachers. This study used a theoretical framework of PCK for deductive data analysis and articulated codes and themes through the following inductive analysis. Data analysis revealed that each of PCK components showed different specificity to the online and offline learning environment. And subcomponents of each PCK component were different according to the specificity of the online and offline learning environment. Teaching orientation toward science had a specific orientation for the online learning environment, i.e., 'learning science concept' and 'lecture centered instruction.' Knowledge of the science curriculum had online-offline mixed learning environment specific knowledge, i.e., 'reorganization of curriculum' and online learning environment specific knowledge, i.e., 'development of learning goal' and 'science curricular materials.' Knowledge of science teaching strategies had online learning environment specific knowledge, i.e., 'topic-specific strategy', 'subject-specific strategy', and 'interaction strategy' and COVID-19 offline learning environment specific knowledge, i.e., 'topic-specific strategy' and 'interaction strategy'. Knowledge of student science understanding had online learning environment specific knowledge, i.e., 'student preconception', 'student learning difficulty', 'student motivation and interest', and 'student diversity' and COVID-19 offline learning environment specific knowledge, i.e., student learning difficulty'. Knowledge of science assessment had online-offline mixed learning environment specific knowledge and online learning environment specific knowledge, i.e., assessment contents and assessment methods for each.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.497-503
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• 2007

학습의 깊이의 단계를 Bloom은 지식, 이해, 적용, 분석, 종합, 평가라는 6가지의 단계로 나누면서 피상적인 학습과 감이 있는 학습으로 구분하였다. 최근 학습은 면대면 학습에서 뿐 아니라, 웹기반의 학습에서도 피상적인 학습 위주로 이루어진다는 비판을 받고 있고, 웹기반 학습에서는 자기조절 흑은 자기규제의 문제가 가장 큰 문제로 지적 받고 있다. 본 연구에서는 이를 해결하기 위한 방안으로서 감이 있는 학습을 촉진하고, 자기 조절을 촉진하는 메타인지를 웹기반학습에의 인터페이스 디자인에 적용하는 문제를 살펴보았다. 이를 알아보기 위해 메타인지 전략의 가장 핵심 요소인 '자기 점검'의 요소 중 학습 내용들 간의 위계 관계를 보여주는 지도 (MAP) 와 계획세우기를 도와주는 요소 (PLAN)를 기존 연구를 토대로 웹기반의 학습의 인터페이스로 구현하고, 이러한 요소들이 학습, 특히 Bloom이 말한 김이 있는 학습을 촉진하는지를 실험을 통해 살펴보았다. 메타인지를 활용한 웹기반 학습의 효과는 배운 내용의 사후 테스트 점수로 측정되었다. 일반적으로 웹상에서 이루어지는 학습의 일반적인 형태인 학습 중에 확인문제를 푸는 조건 (OX조건)과 확인문제와 학습 내용들 간의 위계 관계를 보여주는 지도를 제시하는 조건 (MAP조건), 이에 덧붙여 사전 계획세우기까지 모두 하는 조건 (PLAN조건)으로 나누어 실험이 진행되었다. 그 결과 첫째, 집단 간 참가자들의 전체적인 학습 점수는 MAP조건이 가장 낮고, OX조건이 중간, PLAN조건이 가장 높은 모습을 보였다. 그러나 이 차이가 통계적으로 유의미하지는 않았다. 또한 모든 조건의 집단에서 행해졌던 학습 중간의 OX점수는 집단별 점수의 차이가 통계적으로 유의미하지는 않았으나, 평균의 차이를 보여주었다. 둘째, 조건별 참가자의 학습 효과는 피상적인 학습수준(암기)에서는 통계적으로 집단 간 유의미한 차이를 보였다. 그러나 감이 있는 수준의 학습(문제해결)에서는 집단 간에 통계적으로 유의미한 학습의 차이를 보이지 않았다. 따라서 깊이있는 학습을 촉진하는 웹기반 학습의 인터페이스 디자인에 대해서는 추후 연구가 필요하다.

• Communications of Mathematical Education
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• v.35 no.4
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• pp.445-473
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• 2021

The purpose of this study is to derive implications for the design of the next curriculum by analyzing the textbooks designed as a new subject in the 2015 revised curriculum. In the mathematics curriculum documents of , 'related learning elements' are presented instead of 'learning elements'. 'Related learning elements' are defined as mathematical concepts or principles that can be used in the context of artificial intelligence, but there are no specific restrictions on the amount and scope of dealing with 'related learning elements'. Accordingly, the aspects of 'related learning elements' reflected in the textbooks were analyzed focusing on the textbook format, the amount and scope of contents, and the ways of using technological tools. There were differences in the format of describing 'related learning elements' in the textbook by textbook and the amount and scope of handling mathematics concepts. Although similar technological tools were dealt with in each textbook so that 'related learning elements' could be used in the context of artificial intelligence, the focus was on computations and interpretation of results. In order to fully reflect the intention of the curriculum in textbooks, a systematic discussion on 'related learning elements' will be necessary. Additionally, in order for students to experience the use of mathematics in artificial intelligence, substantialized activities that can set and solve problems using technological tools should be included in textbooks.