• Journal of The Korean Association For Science Education
• /
• v.31 no.8
• /
• pp.1092-1109
• /
• 2011

The purpose of this study was to analyze of the effects of instructional supervision emphasizing reflective thinking on science teaching of elementary teachers. The participants in this study were two teachers. This study was divided in former, middle, and later periods, and consisted of monitoring their own teaching, interviewing, journal writing, discussion with peer teachers and teacher training. Data included descriptions of nine science classes, nine interviews, seven journals and the journals of the researcher. Data analysis tools were the frameworks of the questions, feedback, teaching methods, elements of teaching behavior, and reflection levels. This study employed qualitative research, analysis of the frequency of data, and quoting of descriptions related to the result. The results of this study were as follows: First, teachers showed mainly technical reflection, but changed to show more practical reflection, and critical reflection in the later period of instructional supervision. Second, instructional supervision emphasizing reflective thinking on science teaching for elementary teachers meaningfully changed the question, feedback, teaching methods and teaching elements of teachers. From the results of this study, instructional supervision emphasizing reflective thinking on science teaching for elementary teachers can be considered an effective method in improving teaching elementary science, and instructional supervision used in this study made possible the higher level of reflection and appropriate teaching behavior.

• Journal of The Korean Association For Science Education
• /
• v.38 no.3
• /
• pp.305-317
• /
• 2018

In this study, we investigated the characteristics of participant students' modeling with the blackbox simulation program and epistemic criteria. For this research, we developed a blackbox simulation program, which is an ill-structured problem situation reflecting the scientific practice. This simulation program is applied in the activities. 23 groups, 89 second year students of an education college participated in this activity. They visualized, modeled, modified, and evaluated their thoughts on internal structure in the blackbox. All of students' activities were recorded and analyzed. As a result, the students' models in blackbox activities were categorized into four types considering their form and function. Model evaluation occurred in group model selection. Epistemic criteria such as empirical coherence, comprehensiveness, analogy, simplicity, and implementation were adapted in model evaluation. The educational implications discussed above are as follows: First, the blackbox simulation activities in which the students participated in this study have educational implications in that they provide a context in which the nature of scientific practice can be experienced explicitly and implicitly by constructing and testing models. Second, from the beginning of the activity, epistemic criteria such as empirical coherence, comprehensiveness, analogy, simplicity, and implementation were not strictly adapted and dynamically flexibly adapted according to the context. Third, the study of epistemic criteria in various contexts as well as in the context of this study will broaden the horizon of understanding the nature of scientific practice. Simulation activity, which is the context of this study, can lead to research related to computational thinking that will be more important in future society. We expect to be able to lead more discussions by furthering this study by elaborating and systematizing its context and method.

• Journal of The Korean Association For Science Education
• /
• v.25 no.4
• /
• pp.514-525
• /
• 2005

The most important factor in providing education to gifted students as well as to students in general are the teachers themselves. However, at present in Korea, most of the teachers in charge of education for the gifted are educated by in-service training programs only for a short period of time. It is doubtful whether the teachers, who have taught ordinary students in general, can teach gifted students effectively only after completing such a short course. This research investigated the relationship between the teachers' beliefs about educating the gifted and the teachers' classroom practices in a Science Academy through case studies. The guiding questions for this study are as follows: First, what beliefs do the participating teachers have about education for the gifted? Second, how are the participants' beliefs reflected in their classroom practices? Of the five participants, two are physics teachers, two are biology teachers, and one is an earth science teacher. I observed and videotaped four classroom practices for each participant and conducted an in-depth interview with each participant. Further data were collected through e-mails with the participants. All data were carefully transcribed and analyzed. The results are as follows: Beliefs about education for the gifted do not exist independently, and form a belief system connecting with beliefs about teaching and learning, and subject matter. And the belief systems of participants can be divided into "student-centered," "teacher-centered," and "conflict chaos." In the classes of the participants who have "student-centered" belief system, students' questions or opinions played an important role and the participation structure in the classroom was determined by the students. On the contrary, participants who have "teacher-centered" belief system focused on teaching contents as much as possible in their classes. These teachers played a heavy role and formed a participation structure where students depended on their teacher's intellectual authority and therefore participated in their class passively. A participant who have "conflict chaos" belief did not form a firm belief system yet, and traditional beliefs about teaching and learning were reflected a lot in her classes. The research results imply teachers' beliefs play an important role in classroom practices and beliefs about teaching and learning and subject matter as well as beliefs about education for the gifted are important factors for teachers who guide gifted students. Additionally, I make some suggestions for the improvement of teacher education for the gifted.

• Journal of The Korean Association For Science Education
• /
• v.33 no.7
• /
• pp.1450-1470
• /
• 2013

The purpose of this study was to develop elementary science programs that used multi-level instruction and to analyze verbal interaction patterns in science classes that applied these programs. For this study, the 27 children from the fifth grade at B elementary school, located in Gyeonggi-do, were selected and separated into heterogeneous groups of four students. Verbal interactions occuring in two groups during each class were recorded using video. Elementary science programs using multi-level instruction were developed to target a fifth grade second semester 'Lesson 1. Human Body'. This program provided a mission form for each group and evaluation form for each child. A mission form depending on the children's level has different colors and levels of difficulty for questions. The evaluation form is composed of questions suitable for a child's level in reaching the goal with key concepts. The verbal interaction was mostly categorized into the cognitive domain and the affective domain for analysis. The cognitive domain was subdivided into question, response, making solution, receiving opinion, and the affective domain was divided into behavioral participation and students' attitude. Results of study showed that the frequency of the cognitive domain was higher than the frequency of the affective domain. In the cognitive domain, the median-level was of highest frequency in the children. In the affective domain, high-level was of highest frequency in the children. In terms of both the cognitive and affective domains of children, low-level exhibited the lowest frequency. Verbal interaction frequency was no difference between high-level and median level in cognitive and affective aspects, so median-level children were actively participating in activities similarly with high-level children. There were more types of interactions question, response, making solution, students' attitude in the median-low level children's verbal interaction than high-median level children's verbal interaction.

• Korean Journal of Remote Sensing
• /
• v.37 no.6_1
• /
• pp.1757-1766
• /
• 2021

The green coverage ratio is the ratio of the land area to green coverage area, and it is used as a practical urban greening index. The green coverage ratio is calculated based on the land cover map, but low spatial resolution and inconsistent production cycle of land cover map make it difficult to calculate the correct green coverage area and analyze the precise green coverage. Therefore, this study proposes a new method to calculate green coverage area using aerial images and deep neural networks. Green coverage ratio can be quickly calculated using manned aerial images acquired by local governments, but precise analysis is difficult because components of image such as acquisition date, resolution, and sensors cannot be selected and modified. This limitation can be supplemented by using an unmanned aerial vehicle that can mount various sensors and acquire high-resolution images due to low-altitude flight. In this study, we proposed a method to calculate green coverage ratio from manned or unmanned aerial images, and experimentally verified the proposed method. Aerial images enable precise analysis by high resolution and relatively constant cycles, and deep learning can automatically detect green coverage area in aerial images. Local governments acquire manned aerial images for various purposes every year and we can utilize them to calculate green coverage ratio quickly. However, acquired manned aerial images may be difficult to accurately analyze because details such as acquisition date, resolution, and sensors cannot be selected. These limitations can be supplemented by using unmanned aerial vehicles that can mount various sensors and acquire high-resolution images due to low-altitude flight. Accordingly, the green coverage ratio was calculated from the two aerial images, and as a result, it could be calculated with high accuracy from all green types. However, the green coverage ratio calculated from manned aerial images had limitations in complex environments. The unmanned aerial images used to compensate for this were able to calculate a high accuracy of green coverage ratio even in complex environments, and more precise green area detection was possible through additional band images. In the future, it is expected that the rust rate can be calculated effectively by using the newly acquired unmanned aerial imagery supplementary to the existing manned aerial imagery.