• 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.

• Journal of Science Education
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• v.41 no.3
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• pp.281-296
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• 2017

The purpose of this study is to explore the science learning motivation of technical high school students through comparison with general high school students. 596 high school students and 1063 general high school students participated in the study. Three statistical methods were used for data analysis: two-way ANOVA, independent sample t-test, and Pearson correlation analysis. The results showed that the interaction between school type and grade had a significant effect on the difference of students' motivation for science learning. There was a significant difference in learning motivation among general high school students according to academic year, while there was no significant difference between first and second grader of technical high school students. Especially, technical high school students showed low level of science learning motivation compared to the students in general high school. The correlations among five motivational factors of science learning motivation were also significantly lower than that of general high school students. Lastly, the result of correlation analysis between science motivation and academic achievement showed that second year students in technical high school had less correlation coefficients than the first year students. Given these results, it is necessary to develop a educational strategy for enhancing science learning motivation of technical school students. We will discuss the direction of science education for technical high school based on our findings.

• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.357-370
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• 2022

In this paper, we developed an augmented reality learning tool suitable for chemical bond learning and proposed a process-oriented guided inquiry learning using mobile augmented reality (POGIL-MAR) to find out how it affects science achievement, science learning motivation and learning flow. Participants were 139 10^th-grade students from a coeducational high school in Gyeonggi-do, and they were randomly assigned to the control group (TL), the treatment group 1 (POGIL), and the treatment group 2 (POGIL-MAR). They learned the concept of the chemical bond from the Integrated Science subject for four class periods. Results of two-way ANCOVA revealed that the POGIL-MAR group scored significantly higher than the other groups in a science achievement test, science learning motivation test, and learning flow test, regardless of their prior science achievement. In addition, in the case of the low-level group, the POGIL-MAR group showed a statistically significant improvement in achievement compared to the TL and POGIL groups. The MANCOVA analysis for sub-factors of science learning motivation show that the POGIL-MAR group had significantly higher scores in intrinsic motivation, career motivation, self-determination, self-efficacy, and grade motivation. In particular, the interaction effect between the teaching and learning method and the level of prior achievement was significant in the intrinsic motivation. Meanwhile, the MANCOVA analysis for sub-factors of learning flow show that the POGIL-MAR group had significantly higher scores in clear goals, unambiguous feedback, action-awareness merging, sense of control, and autotelic experience. Based on the results, educational implications for effective teaching and learning strategy using mobile augmented reality are discussed.

• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.371-381
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• 2022

This study causally investigates whether high school student with high science learning motivation becomes to achieve more or vice versa, and also how those two factors affect STEM career motivation. Research participants were 1st year students in a high school at Seoul. We surveyed their science learning motivation three times in the same time interval in the fall semester of 2021, and once a STEM career motivation in the third period. We collected data from 171 students with their mid-term and final exam scores, with which, we constructed and fitted an autoregressive cross-lagged model. The research model shows high measurement stability and fit indices. All the autoregressive and cross-lagged paths were statistically significant. However, standardized regression coefficients were larger in path from motivation to achievement compared to the opposite. Only science learning motivation shows significant direct effect on STEM career motivation, rather than achievement. For indirect effects, the first science learning motivation affected the final exam score and STEM career motivation, and the final exam score affected STEM career motivation. However, the final exam score did not have a total effect toward STEM career motivation. The result of this study shows reciprocal and cyclic causality between science learning motivation and achievement - in comparison, the effect of motivation for the opposite is larger than that of achievement. Also the result of this study strongly reaffirms the importance of science learning motivation. Instructional implications for strengthening science learning motivation throughout a semester was discussed, and a study for the longitudinal effect of science learning motivation and achievement in high school student toward future STEM vocational life was suggested.

• Journal of The Korean Association For Science Education
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• v.38 no.3
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• pp.407-417
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• 2018

The purpose of this study is to analyze the roles of classroom activities in science lessons and student learning motivation in achieving students' scientific competencies, and to suggest implications for science lessons to develop scientific competencies. For this, based on the PISA 2015 data of Korean high school students, we analyzed how classroom activities in science influenced students' scientific competencies through learning motivation variables. As a result of the path analysis, the activities emphasizing interaction and a link to real life predicted intrinsic motivation, instrumental motivation, and science efficacy significantly. On the other hand, the activities that emphasize the student-led inquiry process did not show any effect on learning motivation. In addition, the higher the motivation to learn the science, the higher their scores in three scientific competencies: explaining phenomenon scientifically, evaluating and designing scientific inquiry, and interpreting data and evidence scientifically. The practices of school science lessons indirectly influenced the achievement of scientific competence through learning motivation. Specifically, the activities emphasizing interaction influenced achieving scientific competencies through intrinsic motivation, and the activities emphasizing linkage to real life influenced it through all learning motivation variables. Finally, we discussed some implications for the roles and practices of school science class for enhancing students' scientific competencies.

• 한국정보교육학회:학술대회논문집
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• 2004.01a
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• pp.331-339
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• 2004

본 연구는 초등학교 학생을 대상으로 하는 웹 코스웨어에서 학습동기 극대화로 학습효과를 높이기 위해 학습 동기 유발 전략을 적용한 코스웨어를 개발하는데 그 목적이 있다. 이에 따라 본 연구에서는 학습동기에 대한 제이론을 고찰하고 이를 웹 코스웨어에 적합한 동기전략으로 재구성하여 적용한 프로그램을 개발하였다. 개발 단원은 초등학교 과학교과의 '물체의 속력'으로 교실의 제한된 상황을 극복하도록 많은 가상 실험실을 제공하며, 학습자와의 상호작용을 극대화하고, 실제 생활에서 찾아볼 수 있는 많은 상황들을 가상 체험해 볼 수 있도록 하는 기회를 제공하여 과학교과 학습에의 학습동기를 극대화 할 수 있도록 하였다. 본 코스웨어는 물체의 빠르기 비교, 속력, 여러 가지 속력 비교, 물체의 속력과 안전등의 기본 학습내용과 심화, 평가, 게시판, 쉼터 등으로 구성되어 있으며, 초등학교 교육 현장에서의 활용 방안과 기대효과를 제시하였다.

• Journal of The Korean Association For Science Education
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• v.34 no.5
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• pp.491-497
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• 2014

The purpose of this study is to investigate the structural relationships among the attitude toward science and science motivation such as affective characteristics, and self-regulated learning strategy such as cognitive factor of science achievement. 853 middle school students residing in Seoul completed questionnaires about attitude toward science, science motivation, and self-regulated learning strategy. The sample variance-covariance matrix was analysed using AMOS 20.0, and a maximum likelihood minimization function. The results are as follows: First, attitude toward science, science motivation and self-regulated learning strategy of middle school students were all found to have a significant direct effect on science achievement. Second, attitude toward science and science motivation in middle school students has a direct effect on the self-regulated learning strategy. Third, attitude toward science in middle school students has a substantial indirect effect on science achievement mediated by their self-regulated learning strategy. Forth, science motivation in middle school students has indirect effect on science achievement mediated by their self-regulated learning strategy. Therefore, in order to improve science achievement among middle school students, teachers should consider synthetically the affective characteristics such as attitude toward science and science motivation, and cognitive factor such as self-regulated learning strategy.

• Journal of The Korean Association For Science Education
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• v.36 no.2
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• pp.317-324
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• 2016

This study aims to investigate the motivation for science learning of 3rd year high school students who choose different majors from their track. A total of 2,012 high school 3rd year students participated in this study. We used Science Motivation Questionnaire II (Glynn et al., 2011) to measure the students' science motivation and performed Rasch analysis, MANOVA and logistic regression analysis. First, results showed that 11.5% of students in the science track switched their pathway to a non-STEM major and 14.3% of students in the humanities track switched to a STEM major. In addition, there were gender differences in switching majors. Second, we found a significant difference in science motivation between two groups of students switching their major only in career motivation. Third, science motivation was the significant predictor of STEM major choice; in particular, career motivation was the most influential variable. Based on these results, we proposed that prediction of and paying close attention to students' career motivation are required before making decisions on which track to take.

• Journal of The Korean Association For Science Education
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• v.27 no.9
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• pp.848-853
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• 2007

The purpose of this study was to investigate the relationships among scientifically gifted students' science related attitudes, learning motivation and learning strategy. Subjects were 135 middle school students enrolled at a Center for Science Gifted and Talented Education. There was no difference among talented divisions according to science related attitudes. But the score of the female students were higher than that of the male in learning motivation and learning strategy. Some significant correlation coefficients were between learning motivation and learning strategy. Also significant correlation coefficients were among 'career interest in science' domain, 'leisure interest in science' and 'social implication 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.