• Journal of Korean Elementary Science Education
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• v.32 no.4
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• pp.464-472
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• 2013

The purpose of this study was to analyze the science inquiry problem finding ability of gifted elementary students of science and general elementary students. For this purpose, this study analyzed the types of science inquiry problems in an ill-structured problem finding situation. Also, this study has compared science inquiry problem finding abilities of those two groups. From the results of this study, new ways of improving student' science inquiry problem finding ability and selection of gifted students of science were suggested. The results of this study can be summarized as follows. First, most of the inquiry problems generated by the scientifically gifted and the general students in an ill-structured problem situation could be categorized into seven types (measurement, method, cause, possibility, what, comparison, relationship) according to the inquiry objectives, and both group found more problems in scientific context than in everyday context. Regardless of the context of problem, scientifically gifted students found more problems and the type of problems generated by them were more various than those of general students. Second, there were differences in problem finding ability between scientifically gifted and general students. Scientifically gifted students found more problems and the quality of problems were higher than general students.

• Journal of Gifted/Talented Education
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• v.18 no.1
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• pp.23-52
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• 2008

The purpose of this study was to examine the Structural Equation Model (SEM) of scientific problem finding ability based on science related attitude, motivation and self-regulation learning strategy of the gifted in science. A total of 153 scientifically gifted students were selected from a university-based Sifted education center The instruments used for the study were Test of Science-Related Attitudes, Motivated Strategies for Learning Questionnaire (MSLQ), and Science Problem Finding Test. In order to examine Structural Equation Model (SEM) of scientific problem finding ability, we assumed scientific problem finding model related to science inquiry, model I (domain specific), and scientific problem finding model related to creativity, model II (domain general) The results of this research are as follows. First, the correlations between science related attitudes and MSLQ were significant; motivation and self-regulated learning strategy as sub factors were positively correlated to science related attitudes. Only scientific attitude as a sub factor of science related attitudes was significantly correlated to elaboration of creativity category in scientific problem finding ability. In other hand, self-regulated learning strategy was significantly correlated to elaboration, inquiry motivation and inquiry level in scientific problem finding ability. Second, as the results of SEM analysis, we confirmed model I and model II were the best adequate through the indices of best fit (TLI, CFI>.90, RMSEA<.08); scientific problem finding ability was directly influenced motivation and self-regulated learning strategy but science related attitudes indirectly influenced scientific problem finding ability through motivation and self-regulated learning strategy. Based on the results, the implications for science gifted education were discussed.

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.865-874
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• 2018

The purpose of this study is to explore the process of inquiry problem finding in high school students' small group free-inquiry. For this purpose, 91 second grade high school students took part in small group free-inquiry. We conducted interviews with students (48 students in 15 groups) who were relatively successful in the inquiry performed for one semester (about 4 months). Based on the results of the interviews, we analyzed the characteristics of the inquiry problem finding through the steps and strategies in the inquiry problem finding process. The main results are as follows: First, in the inquiry problem finding process, steps such as selecting keyword, presenting an inconvenience, presenting a question, and finding an inquiry problem were found, and in particular, the process of selecting the keyword that correspond to the subject of inquiry, such as the material and situation of inquiry, is very important step in inquiry problem finding. Second, the strategies that students used in the process of finding inquiry problem included searching information, review of prior research, sharing of knowledge and experience, linking and extension of knowledge and experience, environmental awareness, expert consultation, discussion of suitability, elaboration, etc. Third, finding an inquiry problem was relatively easy in the inquiry for finding out problems (i.e. inconvenience) in everyday life and investigating ways to solve them. Fourth, the review of prior researches through the internet was useful in the process of selecting keyword and elaboration. Fifth, the factors that students consider when selecting one of several candidate inquiry problems are feasibility, real-life applicability, and economic condition. Sixth, the current affairs had a positive impact on the inquiry problem finding. Based on the above results, we discussed some ways to increase students' inquiry problem finding ability.

• Journal of The Korean Association For Science Education
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• v.28 no.8
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• pp.860-869
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• 2008

The purpose of this study is to suggest an instructional direction for improving scientific inquiry problem-finding ability of the scientifically-gifted. For this purpose, this study has made an in-depth analysis of the scientific inquiry problems generated by the scientifically-gifted in Problem-Finding Activity in Ill-structured Inquiry Situation (PFAIIS) and Problem-Finding Activity in Well-structured Inquiry Situation (PFAWIS). The results of this study turned out to be as follows: First, most of the problems generated in PFAIIS and PFAWIS could be categorized into seven types (measurement, method, cause, possibility, what, comparison, relationship) according to the inquiry objectives, while the frequency of each type shown in each inquiry objective was a little different. Second, the frequency of scientific concepts stated in inquiry problem was more in PFAWIS than in PFAIIS. But the scientific concepts were shown more diversely in PFAIIS than in PFAWIS. Therefore, results of this study have the following educational implications. First, it is necessary to offer various opportunities of problem-finding activity under ill-structured scientific Inquiry situation. Second, it is needed to emphasize that a new inquiry problem can be found out even during general scientific experiment and frequently to discuss inquiry problems generated during an experiment. Third, it is needed to encourage the scientifically-gifted to generate a scientific inquiry problem based on at least more than seven types.

• Journal of Gifted/Talented Education
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• v.21 no.4
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• pp.1033-1053
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• 2011

In the process of establishing the principle of genetics, Mendel discovered problems based on various observations. Mendel's scientific thinking ability can be effective if this ability is embedded in gifted science education programs. The study aims to develop a science gifted education program utilizing Mendel's scientific thinking ability shown in the principles of genetics and examine students' changes in scientific thinking ability before and after the program implementation. For the program development, first, the characteristics of Mendel's scientific thinking ability in the process of establishing the principle of genetics were investigated and extracted the major elements of inquiry. Second, the science gifted education programs was developed by applying the inquiry elements from the Mendel's Law. The program was implemented with 19 students of $7^{th}$, $8^{th}$ graders who attend the science gifted education center affiliated with university during July 2011. The Mendel's scientific thinking ability was classified into induction, deduction, and integration. The elements of inquiry extracted from the Mendel's scientific thinking include making observation, puzzling observation, proposing causal questions, generating hypothesis, drawing inference, designing experiment, gathering and analyzing data, drawing conclusions, and making generalization. With applying these elements, the program was developed with four phases: $1^{st}$ - problem finding; $2^{nd}$ - hypothesis generating; $3^{rs}$ - hypothesis testing and $4^{th}$ - problem solving. After implementation, students' changes in scientific thinking ability were measured. The findings from the study are as follows: First, students' abilities of problem finding is significantly (p<.05) increased. Second, students' abilities of hypothesis generating is significantly (pp<.05) increased.

• Journal of The Korean Association For Science Education
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• v.27 no.3
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• pp.263-271
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• 2007

The purpose of this study was to investigate the relationships between the ability of students' raising creative problems and academic achievement, science inquiry skills and creative personality of high school students. In order to evaluate the originality of problems, the present study used three methods: evaluation by frequency, teacher, and student. The results in this study turned out to be as follows: First, there was not much difference in the three methods. But familiar problems had the possibility of receiving higher marks. Second, the ability of students' raising creative problems was significantly correlated with academic achievement and creative personality, but there was no correlation with science inquiry skills. The subjects were divided into 2 groups by students' originality score. In the higher score group, the ability of students' raising creative problems was significantly correlated with creative personality, but in the lower score group, it was significantly correlated with academic achievement. Third, as for science inquiry skills and creative personality between two groups, there was no significant difference, whereas as for academic achievement(physics I, chemistry I), there was significant difference.

• Journal of Science Education
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• v.35 no.2
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• pp.307-323
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• 2011

The study aims to investigate self-regulated learning ability (SRLA) of students and analyze its relationship to their science inquiry skill and affective domain of science in middle schools in Korea. For this end, the research questions include the followings: First, what level is SRLA of middle school students? Second, how does the relationship between SRLA and science inquiry skill look like? Third, how does the relationship between SRLA and affective domain of science look like? A research method employed in the study is the survey utilizing three questionnaires: a) a questionnaire of SRLA (Jung et al., 2004); b) a questionnaire of problem finding ability of the science inquiry skill (Jung et al., 2004); and c) a questionnaire of science affective domain (Seo et al., 2008, adopted from 2006 PISA Student Questionnaire). Responses to three questionnaires by 704 students from seven middle schools in Busan, Ulsan, and Gyeongnam in Korea were analyzed. The research findings were as follows: First, mean average scores of SRLA is 3.02 (${\pm}0.63$) in 5 Likert scale (1 = strongly disagree; 5 = strongly agree). Second, students with higher scores in science inquiry skill showed significantly (p<.05) higher scores in SRLA than others. Third, boys scored higher on self-efficacy scale than girls. As students advance their grade level, their affective domain levels of science significantly (p=.048) decreases, in particular, their self-efficacy level most significantly (p=.002) decreases. Fourth, SRLA was significantly (p=.000) correlated with science inquiry skill and affective domain of science. In conclusions, it appeared that the higher SRLA level of students in middle schools is, the higher level of science inquiry skill and affective domain of science is.

• Journal of The Korean Association For Science Education
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• v.40 no.6
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• pp.657-670
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• 2020

The knowledge-information-processing competency is the most essential competency in a knowledge-information-based society and is the most fundamental competency in the new problem-solving ability. Data-driven science inquiry, which emphasizes how to find and solve problems using vast amounts of data and information, is a way to cultivate the problem-solving ability in a knowledge-information-based society. Therefore, this study aims to develop a teaching-learning model and strategy for data-driven science inquiry and to verify the validity of the model in terms of knowledge information processing competency. This study is developmental research. Based on literature, the initial model and strategy were developed, and the final model and teaching strategy were completed by securing external validity through on-site application and internal validity through expert advice. The development principle of the inquiry model is the literature study on science inquiry, data science, and a statistical problem-solving model based on resource-based learning theory, which is known to be effective for the knowledge-information-processing competency and critical thinking. This model is titled "Exploratory Scientific Data Analysis" The model consisted of selecting tools, collecting and analyzing data, finding problems and exploring problems. The teaching strategy is composed of seven principles necessary for each stage of the model, and is divided into instructional strategies and guidelines for environment composition. The development of the ESDA inquiry model and teaching strategy is not easy to generalize to the whole school level because the sample was not large, and research was qualitative. While this study has a limitation that a quantitative study over large number of students could not be carried out, it has significance that practical model and strategy was developed by approaching the knowledge-information-processing competency with respect of science inquiry.

• Journal of the Korean Society of Earth Science Education
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• v.10 no.1
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• pp.50-61
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• 2017

The purpose of this study is to analysis eye tracking for high school students' learning styles in the process of solving in the behavioral domains of the College Scholastic Ability Test on Earth Science I. The subjects of this study were 50 students from two classes out of 4 classes in E high school in Chungcheong province. Among them, we conducted experiments by randomly sampling 2 students of each type of learning based on the criteria that they had not encountered the problem of Earth Science I from the past two years. The findings indicate that the item correctness rate of divergers, assimilators, convergers, and accommodators were higher in the knowledge domain, application domain, knowledge-understanding domain, and understanding domain. This confirms that there is a difference among the four learning styles in the level of achievement according to the behavioral areas of the assessment questions. The latter finding was that the high eye-share of AOI 2 appeared higher than AOI 1, 3, 4 in the course of solving the problems. This is because the four types of learners pay more careful attention to the AOI 2 area, which is the cue-or-information area of problem solving, that is, the Table, Figure, and Graph area. Therefore, in order to secure the fairness and objectivity of the selection, it is necessary that an equal number of questions of each behavioral domain be selected on the Earth Science I Test of the College Scholastic Ability Test in general. Besides, it seems to be necessary that the knowledge, understanding, application, and the behavior area of the inquiry be highly correlated with the AOI 2 area in development of test questions.