• Journal of Korean Elementary Science Education
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• v.28 no.1
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• pp.9-23
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• 2009

This research defined professionality of science teacher from the perspective of PCK. An teaching strategy in the in-service teacher training for the gifted education was proposed based on the definition and implemented at an in-service teacher training program for the gifted education in order to explore about the teaching strategy and suggest practical implications that could improve the program. The in-service teacher training teaching strategy proposed in this research consists of three components: 'crafting activity materials', 'conducting inquiry-based experiment', 'developing rubric for identification of giftedness'. The survey carried out for the participants of the teacher training program showed that teachers perceived the importance of the need for the rubric for gifted identification, developing activity materials for the gifted education in science, and developing the rubric of gifted identification as properties for in-service teacher training programs fur the gifted education. However, the insufficiency of time and opportunities for being fully engaged in such a program made teachers feel lack of self-confidence in developing activity materials for the gifted education in science and rubric for gifted identification. Therefore, teacher training programs reflecting real features of the gifted education should be constantly developed and provided to enhance the effectiveness of in-service teacher training programs.

• Journal of Korean Elementary Science Education
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• v.32 no.2
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• pp.169-184
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• 2013

The purpose of this study is to investigate teachers' recognition and to suggest an improvement in the system of teacher's observation and nomination used to selecting gifted and talented students in Science in the Busan Metropolitan School District in 2013 by investigating teachers' recognition of the system and their expressed needs. The results are as follows. First, it was observed that teachers are of the opinion that it is difficult to determine the science gifted students by observation due to their lack of expertise in giftedness and gifted education, the lack of a check list to use, and the difficulty of ensuring the objectivity of the results of the determination. Second, the absence of objective screening tools used for the selection, the selection of gifted students based on their subjective judgment, and the possibility to select students based only on visible manifestations of ability may cause parents to mistrust the system. Thus, institutional support is required to address the concerns of teachers and parents. Third, the teachers who are in charge of observation, nomination, selection and determination need to be trained. After that, at least one of these teachers should be assigned in each school and training should operate continuously and systematically. Lastly, while these things are occurring, the process of observation and nomination of by teachers, which is the basis of pooling gifted students at the level of Busan Metropolitan School District, should be continued.

• Journal of Internet Computing and Services
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• v.15 no.5
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• pp.25-32
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• 2014

In the current information and knowledge-based society, a nation's economy power heavily depends on IT-related industry and technology. In this sense, most countries are trying to foster IT industry by developing new and innovative IT technologies. Traditionally, only a few talented persons have been leading the whole IT industry. Thus, it is very important and necessary to identify and support the gifted children in IT in early ages for development of IT industry. The purpose of this paper is to investigate study performance of the gifted children in IT for different grades. Our research is focused on especially 4th grade students, 5th grade students, and 6th grade students in elementary schools. Among various abilities of the gifted children in IT, in this paper, we are interested in programming ability and logical thinking ability. To our best knowledge, there is no research work on study performance depending on different grades of the gifted children in IT. For this purpose, the gifted students in gifted science education center attached in a university at Seoul Metropolitan Area are selected and their test scores for 8 years were collected and analyzed. The statistical analysis results show that there is no significant difference among 4th grade students, 5th grade students, and 6th grade students for programming ability and logical thinking ability. We hope that this result can help suggest and propose study contents, curriculum, principles and laws for the gifted education in IT.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.167-173
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• 2021

The purpose of this study is to discuss the types of algorithms and data categories in AI education for elementary school students. The study surveyed 11 pre-elementary teachers after providing education and practice on various data, artificial intelligence algorithm, and AI education platform for 15 weeks. The categories of data and algorithms considering the elementary school level, and educational tools were presented, and their suitability was analyzed. Through the questionnaire, it was concluded that it is most suitable for the teacher to select and preprocess data in advance according to the purpose of the class, and the classification and prediction algorithms are suitable for elementary AI education. In addition, it was confirmed that Entry is most suitable as an AI educational tool, and materials that explain mathematical knowledge are needed to educate the concept of learning of AI. This study is meaningful in that it specifically presents the categories of algorithms and data with in AI education for elementary school students, and analyzes the need for related mathematics education and appropriate AI educational tools.

• Journal of Korean Elementary Science Education
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• v.25 no.spc5
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• pp.495-506
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• 2007

This study investigated the differences in learning activity preferences according to different thinking styles between gifted and average students. A cluster analysis procedure was performed to classify students on the basis of thinking styles. Two clusters of different thinking styles were deduced: the gifted group with a high level thinking style (cluster 1), and the average group with a low level thinking style (cluster 2). The gifted group (cluster 1) preferred projects, simulations, discussions and game activities to other types of loaming activities. Gifted students and average students also were clustered into each three unique subgroups with respect to levels and patterns in thinking styles, and these subgroups also showed different learning preferences. The clusters of gifted students included the self-regulated learning type (cluster a), cooperative-learning type (cluster b), and the passive-learning type (cluster c). The clusters of average students included the independent learning type (cluster i), no-preference learning type(cluster ii), and the no-motivation & teacher-directed learning type (cluster iii). Theses clusters indicated significant differences not only in thinking styles but also in terms of preferences regarding learning activities. Theses findings are discussed in terms of their educational implications.

• Journal of The Korean Association For Science Education
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• v.29 no.6
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• pp.666-679
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• 2009

The purpose of this study was to survey the teachers' view on using argumentation in school science. For the purpose of this study, the questionnaire was designed for in-depth interview with an in-service middle school science teacher with Ph.D. and was completed through pilot testing with elementary and secondary in-service teachers. The data was surveyed from 1,015 teachers; 762 elementary school teachers, 127 middle school science teachers, and 126 high school science teachers. From the frequencies analysis of the data, the results indicated that the first students made some argumentation accord claim with evidence, the second, the teachers gave some opportunities to their students through the theme within their living environment or lab-activities involving argumentation, and lastly, most of the teachers recognized the absolute necessity of argumentation. From these results, recommendations about some post researches were suggested.

• Journal of Korean Elementary Science Education
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• v.37 no.4
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• pp.440-454
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• 2018

This study aims to compare student self-, teacher-, and objective assessments of elementary science-gifted students' scientific creativity. A science-gifted program on the topic of Hydraulic Machine was implemented to 40 fifth-graders in the Science-Gifted Education Center of an education office in Seoul, Korea for four weeks. The products of the students' activities were assessed by three types of 'Student Self-Assesment', 'Teacher-Assesment', and 'Objective Assessment using Formula'. Based on two essential components of creativity, the scientific creativity is divided into two parts of originality and usefulness. Ideas that satisfy both components can be counted as scientifically creative. The main results of this study are as follows: First, the scores of each week and the average of the overall four-week scores on scientific creativity were significantly correlated. Student self-assessment (r=.687), teacher-assessment (r=.715), and objective assessment (r=.724) appeared consistently over instructional periods. Second, the average scores of student self-, objective, and teacher-assessments were 73.15, 35.72, and 26.60, respectively. The result of student self-assessment on scientific creativity tended to be higher than those of formula and teacher. Third, among the three types of assessment on scientific creativity, a strong correlation appeared between teacher- and objective assessment (r=.974), but neither between student self- and objective (r=.161) nor between student self- and teacher- (r=.213). Fourth, the scores on originality component had a positive correlation between teacher- and objective assessment (r=.713). The scores of student self- and teacher-assessments had a significant correlation too (r=.315), but not between student self- and objective assessment (r=.279). Fifth, the scores on usefulness component did not have a significant correlation between student self- and teacher-assessment (r=.155). Sixth, there was no significant difference on scientific creativity between student self- and objective assessment [${\chi}^2$(1, n=40)=1.667, p<.197]. Not between student self- and teacher-assessment either [${\chi}^2$(1, n=40)=1.616, p<.204]. On the contrary, there was a significant difference between teacher- and objective assessment [${\chi}^2$(1, n=40)=32.593, p<.000]. Seventh, the students were categorized into four groups according to the levels of their scores by student self- and teacher-assessment. The result showed that factors influencing student self-assessment are inherent in the personality traits of gifted individuals, such as self-esteem and perfectionism. The findings suggested that there are challenges for the educators to make efforts to construct consistent assessment methods for scientific creativity.

• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.151-159
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• 2015

The algorithm in computer science includes skills to design a problem solving process for solving problems efficiently and effectively. Therefore all learners who learn computer science have to learn algorithm. Education for algorithm is effective when learners acquire skills to design algorithm as well as ability to use appropriate design skills solving problems. Especially since it is heightened people awareness to cultivating informatics gifted students who have potential of significant impact on society, many studies on how to teach them have been in progress. Therefore in this study we adopted puzzles to help informatics gifted students learn skills to design algorithm and how to use them to solve problems. The results of pre and post test compared to traditional algorithm learning, we identified that puzzled based algorithm learning gave a positive impact to students. Students had various problem solving experience applying algorithm design skills in puzzle based learning. As a result, students of learning and learning transfer has been improved.

• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.689-699
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• 2018

The purpose of this study was to investigate the prediction of self-regulated learning, GRIT and parents support on computational thinking and learning satisfaction in online software education. The participants were 71 elementary students who attended to an online software education which K university offered in Spring 2018. The 63 of cases were used to analyze by SPSS. The key findings were as follows: First, self-regulated learning and GRIT significantly predicted computational thinking. Second, self-regulated learning and GRIT significantly predicted learning satisfaction. This research suggested the implications for computational thinking and learning satisfaction in online software education.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.205-212
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• 2021

The purpose of this study is to analyze elementary school students' interest in virtual reality(VR) technology, usability, and the possibility of learning media. In particular, it is intended to be used for content creation for artificial intelligence(AI) education in the future. The effectiveness of elementary education using virtual reality technology was confirmed through the analysis of overseas research, and the applicability to elementary school students in Korea was analyzed. To proceed with the analysis, various virtual reality contents were provided to 5th grader of elementary school, and then, interest, usability, usefulness, and possibility of use in class and learning were surveyed. As a result of the study, it was confirmed that students' interest in virtual reality contents was very high, and that it could be used sufficiently as a learning medium. It suggests that it can be used in artificial intelligence education and data science education, which have recently been emphasized in importance. In particular, virtual reality can be used to simulate abstract data and artificial intelligence.