Considerable efforts have been attempted to identify what makes high-quality mathematics instruction, including diversity and variability across different educational systems and cultural contexts. As the instructional elements related to effective mathematics teaching can be commonly applied to different content domains, they may be efficient in selecting such teaching. However, such elements may not reflect on the specific but essential features of each domain. This paper compared and contrasted two sets of measurement teaching practices, which were recognized as good instruction, in terms of how the key elements of measurement domain were implemented. As such this paper is expected to accumulate significant knowledge about elements of effective mathematics instruction that are specialized in a particular content domain of measurement. This paper suggests that domain-specific approach be considered in studying good mathematics teaching.
Journal of The Korean Association For Science Education
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v.40
no.2
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pp.203-216
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2020
The purpose of this study is to explore the effects of a VR(virtual reality)-based biology class on both the cognitive and affective domains by developing and applying a VR-based biology program for 6th-grade elementary school students. For this research, we developed a VR teaching material about 'digestion' reflecting virtual reality characteristics and one hundred five students in an elementary school in an urban area participated in this study and took three VR-based lessons. To examine the cognitive effects of a VR-based biology class, the study subjects were divided into two groups. The experimental group was composed of 50 individuals who participated in VR-based biology lessons, while 55 students of a control group learned through general lessons. We collected data using drawing tasks for measuring students' modeling performance level from these groups and analyzed the cognitive effect of VR-based instruction. We also recorded 21 interviews of students after the intervention, which were transcribed to verify the students' perception of cognitive and affective effects. The key results are as follows: First, we demonstrated the possibility of applying a VR program reflecting VR characteristics (manipulation, multi-sensory, and interaction). Second, we found out that a VR-based biology class significantly enhances higher levels of thinking (spatial, abstract, and reflective thinking). Third, we examined students' perceptions on this program and came to the conclusion that VR characteristics positively affected cognitive and affective domains. This study may be able to contribute to offering guidelines on how to apply VR-programs to future science education effectively.
Journal of The Korean Association For Science Education
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v.31
no.1
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pp.115-127
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2011
Analysis frame for undergraduate physics laboratory reports in collecting, processing, and analyzing data was developed. Using the frame and questionaries, we analyzed what difficulties students have in the concepts of error and uncertainty in writing laboratory reports. Students considered repetitive measurement for collecting data, but they didn't express it distinctly in their reports. They also had difficulties in measuring data around the extreme value or the large slope. Especially, most students have had difficulties with error and uncertainty. They can't apply the basic formulation to propagation of error and uncertainty. They also had the difficulties in analyzing data with concepts of error and uncertainty. While most students responded that error and uncertainty is important, there were few students who analyzed the influence of the cause of error on the results quantitatively. The result of the study showed that students have difficulties in writing the laboratory reports because they didn't have the correct concept of the error and uncertainty. So, it is needed to not only teach the physics concept about experiment but to teach basic concept of data collecting, processing, and analyzing specially about error and uncertainty for students as well.
Journal of The Korean Association For Science Education
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v.35
no.2
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pp.247-258
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2015
Students are engaged in classroom learning, and classroom learning occurs not only through conversation but also through nonverbal behavior. In science classrooms especially, there are meaningful nonverbal behaviors such as practical activities like observation and measurement. But these behaviors have not been properly investigated by existing instruments that try to measure students' engagement. This study aims to develop a new instrument for analyzing students' behavioral engagement especially in science classrooms. The method of developing the instrument was structured along three steps. First, student behaviors have been classified into fourteen categories through literature review and a series of observation of elementary science classroom. Second, based on these, a framework for analyzing student behavioral engagement has been developed. With the framework, every student moment could be labeled as Participatory Speech or Participatory Silence or Non-Participatory Speech or Non-Participatory Silence. Third, an instrument to which the framework is applied has been developed by using Microsoft Excel. As a trial, two fourth-grade students in elementary science class were analyzed with this instrument. The results of the trial analysis shows that the longest period of a science lesson was occupied by Participatory Silence (63% and 72%). Among the participatory silence, 'listening' was the most common (51% and 42% of the trial lesson) and 'observing' which is a specific behavior to science was the fourth position (17% and 17% of the trial lesson). It is expected that the developed instrument could be used in improving our understanding of the patterns of student engagement in science classrooms.
The purpose of this study was to explore the effects of Cogenerative Dialogues embedded in a modeling-centered science learning and instruction on 7th grade female $students{\acute{i}}$ understanding of scientific models and modelling A total of 49 7th grade female students in two classrooms participated in a series of five modeling-centered science lessons, and 17 students volunteered to participate in this study. Participating students were divided into four groups, and two groups were randomly assigned to a treatment group who were asked to participate in Cogenerative Dialogues after each lesson, while the others, a control group, who did not. For data analysis, Upmeier and $Kr{\ddot{u}ger^{\prime}s$ framework was used to explore $participants{\acute{i}}$ understanding of model, and a revised $Baek{\acute{i}}s$ framework was used to examine $participants{\acute{i}}$ modeling process. Data analysis indicated that students who participated in Cogenerative Dialogues generally showed richer understanding of scientific models, as well as modeling, than the others who did not. This study suggests that Cogenerative Dialogues can be used as an educationally meaningful method for science educators to encourage students actively participate in a whole process of science instruction and learning, which assists them to increase their understanding not only of scientific models and modeling specifically but also of the nature and processes of scientific practice in general.
Journal of the Korean Society for Library and Information Science
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v.57
no.3
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pp.211-230
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2023
The purpose of this study is to confirm the effect of digital co-teaching between teachers online on improving students' reading literacy. In order to achieve the purpose of the study, a pre-test was conducted on first-year high school students, and a post-test was conducted after conducting the co-teaching over two sessions. For statistical analysis, the data of 101 students with no missing values in pre- and post-tests were used. Through the OECD's PISA reading literacy evaluation framework and factor analysis, a reading literacy test tool consisting of expression, comprehension, and information literacy was developed and the degree of change in reading literacy was measured through a self-report with the tool. As a result of the analysis, it was confirmed that the digital co-teaching had a statistically significant positive effect on the expression, comprehension and information literacy of high school students. This study is meaningful in that it shows that digital co-teaching can be applied as a way to improve reading literacy in PISA organized by the OECD.
The purpose of this study was to suggest methods to apply generalizability theory to mathematics teacher evaluation using classroom observations in Korea by analysing mathematics teachers in the U.S. using the instructional quality of assessment instrument as an illustrative example. The subjects were 96 teachers participating in Year 3 and Year 4 from the Middle-school Mathematics and the Institutional Setting of Teaching (MIST) project funded by the National Science Foundation since 2007. The MIST project investigates the following question: What does it takes to support mathematics teachers' development of ambitious and equitable instructional practices on a large scale (MIST, 2007). This study examined data based on both the univariate generalizability analysis using GENOVA program and the multivariate generalizability analysis using mGENOVA program. Specifically, this study determined the relative effects of each error source and investigated optimal measuring conditions to obtain the suitable generalizability coefficients. The methodology applied in this study can be utilized to find effective optimal measurement conditions for the mathematics teacher evaluation for professional development in Korea. Finally, this study discussed limitations of the results and suggested directions for future research.
This study aimed at finding points of improvement in teaching expertise by analyzing the question patterns that appeared during teaching demonstrations which applied science teaching models prepared by a pre-service biology teacher. The question analysis frame for analyzing question types were categorized largely into the question types of Category 1 (questions in cognitive domain, questions with research function, questions in affective domain), Category 2 (repeated questions, questions for narrowing the range, practice questions), and Category 3 (questions on student activity progress, memory questions, and thinking questions). The results of analyzing question patterns from five different science teaching models revealed a high frequency of questions in the fields of cognition and memory. For the circular learning model, questions from the cognitive field appeared the most often, while, student activity progressive questions in particular were used mostly in the 'preliminary concept introduction stage' of the circular learning model and the 'secondary exploratory stage', in which experiments were conducted, and displayed the characteristics of these stages. The discovery learning model combined the courses of observation, measurement, classification and generalization, but, during teaching demonstrations, memory questions turned up the most, while the portion of inquisitive function questions was low. There were many questions from the inquisitive learning model, and, compared to other learning models, many exploratory function questions turned up during the 'experiment planning stage' and 'experiment stage'. Definitional questions and thought questions for the STS learning model turned up more than other learning models. During the change of concept learning model, the five concepts of students were stimulated and the modification of scientific concepts was very much aided by using many memory questions.
Journal of The Korean Association For Science Education
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v.40
no.5
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pp.503-514
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2020
In a sense that achievement emotion is directly associated with achievement activity of students and its result, drastic changes in educational environment such as expansion of e-learning due to COVID-19 may have a large impact on the achievement emotion of students inevitably. However, studies on the foregoing still remain insufficient, and development of a questionnaire capable of making a quantitative measurement on the achievement emotion of students under the environment of e-learning may become the basis of relevant studies, so this study developed the e-learning Achievement Emotions Questionnaire-Korean Middle school Science(e-AEQ-KMS) and verified its validity. e-AEQ-KMS in this study was developed based on the Achievement Emotions Questionnaire-Korean Middle school Science (AEQ-KMS) and by reflecting characteristics of e-learning science class. With 226 questions in total, the questionnaire is composed to measure 9 kinds of achievement emotion such as enjoyment, hope, pride, relief, anger, anxiety, hopelessness, shame, and boredom under 3 academic situations of class situation, learning situation and testing situation. The result of this study has a great significance in the way that it set out a framework for making a comparative analysis quantitatively on the achievement emotion of Korean middle school students in science for e-learning classes.
The purpose of this study is to investigate the educational significance of STEAM in school mathematics education by developing a STEAM program that learns mathematical and scientific principles based on patterns and analyzing the effects of developed program. For this purpose, we conducted an experimental class based on the STEAM program developed. STEAM attitude and satisfaction were tested for 120 elementary school students. The results of this study are as follows. First, in terms of STEAM attitude, STEAM-based experimental instruction did not differ significantly in the second grade students. However, there were positive effects in the other five grades. Second, in terms of satisfaction, the proportion of students who were 'generally' was 89%. the proportion of students who were 'not generally' was 3%. Study subject students were found to be generally satisfied with the STEAM-based instruction.
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