• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.65-72
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• 2015

The purpose of this study is to investigate the relationships between moral sensitivity for topics related to science and preference for science, and belief about learning science. 129 middle school students were involved in this study and completed questionnaires to measure moral sensitivity for topics related to science, preference for science, and belief about learning science. Students' responses were analysed to show the distribution of variables and the correlation between variables by gender and grade. As a result, moral sensitivity was not affected by respondents' grades and genders, but was affected by different topics. Preference for science was not affected by respondents' grades and genders, while belief about learning science was not affected by respondents' genders but affected by lower grade. There were correlations between students' moral sensitivity and preference in case of female students and higher grades, as well as relationship between moral sensitivity and belief about learning science. This result infers that students who have higher moral sensitivity can prefer science and show more positive belief about learning science. Also, it can implicate that affective domain including interest or belief can play an important role in the context of science education focusing on moral aspect or ethics, and that teachers should be aware of personal differences in case of teaching moral aspect of science.

• Journal of The Korean Association For Science Education
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• v.36 no.1
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• pp.125-134
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• 2016

The purpose of this study is to explore the relationship between motivational belief about learning science, self-directed learning ability and conceptual understanding of matter change with a quantitative method, assuming that motivational belief and self-directed learning ability might affect conceptual understanding. To do this, the authors investigated middle school students' motivational belief about learning science, self-directed learning ability, and conceptual understanding of matter change using measurement tools based on previous studies, and then analysed the casual relationship between three variables using PLS structural equation model. As a result, three latent variables in this study could be evaluated as appropriated in reliability and validity. And also, self-directed learning ability could affect both the motivational belief and conceptual understanding, while motivational belief could affect only self-directed learning ability but not conceptual understanding. Through this study the authors confirmed that in the context of science learning self-directed learning ability can directly affect conceptual understanding but motivational belief can affect indirectly. This study is significant in that the causal relationship between different variables in science learning could be confirmed in a quantitate manner, and also in that it can suggest PLS structural equation method as a new research methodology in science education research area.

• Journal of Science Education
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• v.37 no.1
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• pp.40-51
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• 2013

This study examined Korean pre-service science teachers' belief on science teaching and learning and its evolution over years in their teacher preparation programs. Juniors and seniors from two major universities, enrolled in college of education located in major cities in Korea, participated in this study. They completed BARSTL(Belief About Refrmed Science Teaching and Learning) which consisted of 32 Likert scale items. In order to investigate the evolution of their belief on science teaching and learning, the juniors responded to BARSTL again after 1 year. Results indicated that the pre-service science teachers had to some extent positive beliefs on science teaching and learning, but their beliefs were not much developed over a year.

• Journal of Science Education
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• v.37 no.2
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• pp.389-404
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• 2013

This study aimed to explore elementary teachers' beliefs about science teaching, science learning and the nature of science and consistency among these beliefs. Data was collected by using an open questionnaire and semi-structured individual interview. Teachers' beliefs were classified as traditional beliefs and constructivist beliefs. Traditional beliefs were further divided into content knowledge-centered beliefs and procedural knowledge-centered beliefs. The result showed that a relatively large number of teachers among the total 30 teachers had traditional beliefs about science teaching, science learning, and the nature of science(respectively 60.0%, 66.7%, 83.3%). Most of traditional beliefs were identified as content knowledge-centered beliefs. The proportion of teachers with consistent beliefs for all three aspects was 40.0%, the proportion of those with consistent beliefs for two of them (those with related beliefs) was 53.3%, the proportion of those with different beliefs for them (those with divergent belief) was 6.7%. Most of the teachers with the consistent beliefs had the content knowledge-centered beliefs of traditional beliefs. Although constructivism has been widely emphasized in science education from the 1980's, the rate of the teachers with the consistent beliefs in constructivism was as low as 6.7%.

• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.15-25
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• 2015

This study examined pre-service secondary physics teachers' epistemological beliefs about scientific knowledge, science learning, and science teaching in two different science content topics, Lamarckism and the impetus theory. Two sets of open-ended questionnaires, for each of the topics respectively, were developed in the same format. The pre-service teachers completed the questionnaires at one month intervals. The beliefs were analyzed in two dimensions, knowledge justification and knowledge change for each belief area. The findings show that the majority of pre-service teachers held sophisticated epistemological beliefs about scientific knowledge regardless of content topics. On the other hand, more pre-service teachers exhibited sophisticated beliefs about science learning in the context impetus theory than Lamarckism. In the area of science teaching, the majority of pre-service teachers demonstrated a sophisticated view in knowledge justification but a naive view in knowledge change. When consistency across science topics and belief areas were examined, few pre-service teachers held consistent epistemological beliefs across all topics and areas. The difference in the levels of sophistication in belief areas showed that the pre-service teachers did not connect their epistemological beliefs about science knowledge to their ideas about science teaching and learning. This disconnection seems to make the consistency across topics and areas complicated. The difference in epistemological beliefs about science learning and teaching between two science topics need further inquiry. Implications for teacher education are offered.

• Journal of Korean Elementary Science Education
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• v.26 no.5
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• pp.489-498
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• 2007

This study focuses on surveying and examining the beliefs of elementary pre-service and in-service teachers about science and science education. The instrument consisted of 21 items about science and science education on a 5-Likert scale(score range from 1 to 5). The one contained science knowledge and scientific invention, and the other contained science teacher, learning science and science learning and teaching. Data were collected from 76 pre-service and 96 in-service elementary teachers(24 male and 148 female). The elementary pre-service and in-service teachers had higher level belief about that science knowledge should be acquired by sequential scientific process, the beliefs of in-service teachers was more explicit than those of pre-service teachers. They had beliefs to educate learners by providing scientific joyfulness and sequential scientific process. But, in-service teachers had difficulties to perform scientific process-based activities. It is necessary to provide scientific experiences to understand the nature of science in pre-service and in-service programs.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.2
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• pp.49-66
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• 2014

This paper studies optimal consumption and investment behaviors of an individual when risky asset returns and her income are affected by the business cycle. The investor considers the incomplete information risk of unobservable macroeconomic conditions and updates her belief of expected risky asset returns through Bayesian learning. We find that the optimal investment strategy, certainty equivalent wealth, and portfolio hedging demand significantly depend on the belief about the macroeconomic conditions.

• Journal of Science Education
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• v.39 no.3
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• pp.333-342
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• 2015

The purpose of this research was to investigate the effect of physics learning through the teaching-learning strategy of phased context in introductory physics classes. The participants in the study included 35 university freshmen. The teaching-learning strategy of phased context were developed by idealizing, extending and comparing contexts which were then applied in introductory physics classes : six hour classes about straight line motion, two-dimensional motion and Newton's laws of motion. The effects of the physics learning were then analyzed by the FCI (Force Concept Inventory) and MPEX (Maryland Survey on Physics Expectation) questionnaires. The results showed that the teaching-learning strategy of phased context helped change the force concept and did not change the belief about physics learning. Finally, based on the results of the study, we discuss possible educational implications for phased context in introductory physics classes.

• Journal of the Korean Society of Earth Science Education
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• v.6 no.2
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• pp.152-158
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• 2013

The purpose of this work is to investigate pre-service elementary teachers' belief in science gifted education. To do that, from September to November 2012, this research had been conducted with 42 students who were in the third year of P University of Education. The conclusions of this work are presented as follows: First, the pre-service elementary teachers considered exploration ability to be the most important talent for the gifted students in science, and chose task commitment as the next most important. They regarded intelligent ability and leadership ability as the relatively less important. Secondly, regarding the most important tool in choosing scientifically gifted students, the pre-service elementary teachers preferred creativity test. It was found that they considered the intelligence test and academic achievements, which require intelligent ability, to be the less important. Thirdly, regarding the special knowledge related to science gifted education, the pre-service elementary teachers considered pedagogical knowledge about the gifted to be the most important. Fourthly, regarding a class type for gifted students in science, the pre-service elementary teachers most preferred project learning. Project learning is a learning method in which students choose an interesting problem and solve the problem in cooperation with group members. It is the most widely used exploration class in gifted education. It is in the same context as the result that exploration ability is the most important factor to elementary gifted students in science. This work revealed that, with regard to a talent for the gifted in science, judgment of the gifted in science and science gifted education, the potential ability and affective ability of gifted students are considered to be more important than their intelligent ability. Therefore, it was analyzed that pre-service elementary teachers' belief in the gifted students in science is almost consistent with the recent trend of gifted education.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.161-170
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• 2017

Emotion affects many parts of human life such as learning ability, behavior and judgment. It is important to understand human nature. Emotion can only be inferred from facial expressions or gestures, what it actually is. In particular, emotion is difficult to classify not only because individuals feel differently about emotion but also because visually induced emotion does not sustain during whole testing period. To solve the problem, we acquired bio-signals and extracted features from those signals, which offer objective information about emotion stimulus. The emotion pattern classifier was composed of unsupervised learning algorithm with hidden nodes and feature vectors. Restricted Boltzmann machine (RBM) based on probability estimation was used in the unsupervised learning and maps emotion features to transformed dimensions. The emotion was characterized by non-linear classifiers with hidden nodes of a multi layer neural network, named deep belief network (DBN). The accuracy of DBN (about 94 %) was better than that of back-propagation neural network (about 40 %). The DBN showed good performance as the emotion pattern classifier.