• School Mathematics
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• v.17 no.3
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• pp.423-446
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• 2015

This study aims to look into the characteristics of argumentation in the task context of 'Monty Hall problem' at a high school probability class. As a result of an analysis of classroom discourses on the argumentation between teachers and second-year students in one upper level class in high school using Toulmin's argument pattern, it was found that it would be important to create a task context and a safe classroom culture in which the students could ask questions and refute them in order to make it an argument-centered discourse community. In addition, through the argumentation of solving complex problems together, the students could be further engaged in the class, and the actual empirical context enriched the understanding of concepts. However, reasoning in argumentation was mostly not a statistical one, but a mathematical one centered around probability problem-solving. Through these results of the study, it was noted that the teachers should help the students actively participate in argumentation through the task context and question, and an understanding of a statistical reasoning of interpreting the context would be necessary in order to induce their thinking and reasoning about probability and statistics.

• Journal of Educational Research in Mathematics
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• v.14 no.3
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• pp.221-237
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• 2004

This research analyzed mathematical discourse of the students in an RME-based differential equations course at a university in order to investigate the social transformation of the students' conceptual model of differential equations. The analysis focused on the change in the students' use of conceptual metaphor for differential equations and pedagogical factors promoting the change. The analysis shows that discrete and quantitative conceptual model was prevalent in the beginning of the semester However, continuous and qualitative conceptual model emerged through the negotiation of mathematical meaning based on the inquiry of context problems. The participation in the project class has a positive impact on the extension of the students' conceptual model of differential equations and increases the fluency of the students' problem solving in differential equations. Moreover, this paper provides a discussion to identify the pedagogical factors Involved with the transformation of the students' conceptual model. The discussion highlights the sociocultural aspect of teaching and learning of mathematics and provides implications to improve teaching of mathematics in school.

• Journal of The Korean Association For Science Education
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• v.38 no.1
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• pp.11-26
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• 2018

The purpose of this study is to investigate teachers' responsive practices in whole class discussion after small group argumentation and the underlying epistemological framing. Three teachers and 84 students participated in this study by engaging in argumentation activities about the sensory system. We recorded both their discussions in the classes and our interviews with the teachers, which were transcribed for analysis. The results of the analysis showed that the teachers' responsive practices and the epistemological framing were categorized into four types. By framing the discussion as 'reaching the correct answer through discussion,' the teacher focused on whether students' ideas corresponded to scientific concepts and transferred scientific ideas to the students. By framing the discussion as 'eliciting appropriate conceptual resources and developing them into a scientific idea through critical evaluation,' the teacher engaged in the students' discussion as another participant, and considered the small groups' arguments as resources that could develop into scientific concepts. By framing the discussion as 'sharing small groups' arguments,' the teacher responded by asking for clarification of each group's argument, considering it as a valid argument in its own way. By framing the discussion as 'reaching a consented argument through critical evaluation,' the teacher negotiated students' critical evaluation and revision of the arguments. We explored the implications and limitations of each type of responsive practice and considered that the results of this study will contribute to developing teachers' responsive teaching strategies in argumentation activities.

• School Mathematics
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• v.10 no.4
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• pp.515-535
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• 2008

As part of developmental research of a student-teaching practicum program, this research analyzed a mathematics preservice teacher's questioning. The practicum program is based on the model of reflective practice in a collaborative inquiry community for learning-to-teach. This paper describes how a preservice teacher's questioning pattern had changed on the program participation and explain how the change in discourse can be considered as an indicator for the pre service teacher's professional development. Suggestions for the future program development are discussed.

• Journal of The Korean Association For Science Education
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• v.35 no.3
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• pp.419-429
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• 2015

In this study, we explored students' epistemological framing during scientific argumentation and how interactions among group members influenced group argumentation. Twenty-one gifted science students divided into groups of three or four participated in this study. Students' discussions related to data interpretation concerning the rate of photosynthesis were analyzed. Students' activities were videotaped in groups so the discourse could be transcribed and students' behavioral cues analyzed. Students' epistemological framing has been identified through analysis of their speech and behavioral responses to the anomalous data from the inquiry process. Subsequently, their sources of warrant and group argumentation levels were explored. We found out that group members framed the inquiry in two ways: "understanding phenomena" and "classroom game." Group members whose framing was "understanding phenomena" required other members to justify the anomalous data by examining its validity and reliability, which conclusively demonstrated a high level of argumentation. On the other hand, when group members used "classroom game" to frame their argumentation, they did not recognize the necessity of explaining the anomalous data; rather, these students used simple empirical justification to explain the data, reflecting a low level of argumentation. When students using different epistemological framing disagreed over interpretations of anomalous data throughout the discussion, clashes ensued that resulted in emotional conflict and a lack of discussion. Students' framing shifts were observed during the discussion on which group leaders seemed to have a huge influence. This study lays the foundation for future work on establishing productive framing to prompt scientific argumentation in science classrooms.

• Journal of The Korean Association For Science Education
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• v.32 no.2
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• pp.372-387
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• 2012

This study aims to identify unique small group norms and their influence on the process of constructing a scientific model. We developed instructional materials for the construction of a model of blood flow in the heart and conducted research on eighth-grade students from one middle school. We randomly selected 10 small groups, and videotaped and recorded their dialogues and behaviors. The data was categorized according to the types of interaction and then analyzed to investigate the characteristics of group norms and models in one or two representative groups for each type. The results show that the types of interaction, the quality of the group models, and the group norms were different in each group. Even though one teacher guided students through the same task in the inquiry context, each group revealed different patterns of discourse and behavior, which were based on norms of cognitive responsibility, the need for justification, participation, and membership. With the exception of one group, there was little cognitive responsibility and justification for students' opinions. Ultimately, these norms influenced the model construction of small groups. A group that forms norms to encourage the active participation and justify members' opinions with cognitive responsibility was encouraged to do inferential thinking and construct a group model close to the target model. This study has instructional implications for the establishment of a classroom environment that facilitates learning through small group activities.

• Journal of The Korean Association For Science Education
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• v.40 no.3
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• pp.321-336
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• 2020

We explore automated scoring models of scientific argumentation. We consider how a new analytical approach using a machine learning technique may enhance the understanding of spoken argumentation in the classroom. We sampled 2,605 utterances that occurred during a high school student's science class on molecular structure and classified the utterances into five argumentative elements. Next, we performed Text Preprocessing for the classified utterances. As machine learning techniques, we applied support vector machines, decision tree, random forest, and artificial neural network. For enhancing the identification of rebuttal elements, we used a heuristic feature-engineering method that applies experts' classification of morphemes of scientific argumentation.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.440-451
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• 2020

The purpose of this study is to present a method of Korean speaking activity utilizing mobile learning. It can compensate for the shortcomings of Korean speaking classes. Currently, speaking classes in the Korean as a foreign language site are difficult to interact individually and immediately because there are one professor and several learners. So it is hard for learners to improve their speaking ability in the actual class. However, it is helpful for learners to receive instant and individual feedback and check their pronunciation, intonation and speed. by using mobile learning. Therefore, This study consists of main-activity that can correct their pronunciation, post-activity that can make free dialogues through communication between learner and learner. So learners can improve their pronunciation accuracy and fluency as well as composition of conversation. This activity was applied to the actual class and after that, the satisfaction and opinions of learners were investigated. The results showed that many learners responded positively, but also suggested that they need to supplement mobile-learning activities in classrooms and future APP developments.

• Journal of The Korean Association For Science Education
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• v.38 no.2
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• pp.219-234
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• 2018

In this study, we explored the possibility of automating the process of analyzing elements of scientific argument in the context of a Korean classroom. To gather training data, we collected 990 sentences from science education journals that illustrate the results of coding elements of argumentation according to Toulmin's argumentation structure framework. We extracted 483 sentences as a test data set from the transcription of students' discourse in scientific argumentation activities. The words and morphemes of each argument were analyzed using the Python 'KoNLPy' package and the 'Kkma' module for Korean Natural Language Processing. After constructing the 'argument-morpheme:class' matrix for 1,473 sentences, five machine learning techniques were applied to generate predictive models relating each sentences to the element of argument with which it corresponded. The accuracy of the predictive models was investigated by comparing them with the results of pre-coding by researchers and confirming the degree of agreement. The predictive model generated by the k-nearest neighbor algorithm (KNN) demonstrated the highest degree of agreement [54.04% (${\kappa}=0.22$)] when machine learning was performed with the consideration of morpheme of each sentence. The predictive model generated by the KNN exhibited higher agreement [55.07% (${\kappa}=0.24$)] when the coding results of the previous sentence were added to the prediction process. In addition, the results indicated importance of considering context of discourse by reflecting the codes of previous sentences to the analysis. The results have significance in that, it showed the possibility of automating the analysis of students' argumentation activities in Korean language by applying machine learning.

• Journal of the Korean earth science society
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• v.43 no.3
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• pp.430-445
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• 2022

The purpose of this study was to explore the learning effects in elementary school students who participated in a geological field trip conducted under the theme 'minerals and rocks', focusing on novelty space. A total of 10 sixth-grade students participated in this program held at a public elementary school in Seoul as part of after-school club activities. Students observed mineral and rock samples in a classroom and outdoor learning environment. The authors collected activity papers (texts, drawing), researchers' participation notes, video and audio recordings containing the study participants' activities, and post-interview data To analyze the learning effects in the cognitive domain of students, the observation analysis framework for rock classification of Remmen and Frøyland (2020) and the rock description analysis framework of Oh (2020) were used. Additionally, to explore the learning effects of psychological and geographic areas, students' drawings, texts, discourses, and interview data were inductively analyzed. The results showed that the students demonstrated 'everyday' and 'transitional' observations in the classroom learning environment, while in the outdoor learning environment (school playground, community-based activities), they demonstrated 'transitional' and 'scientific' observations. Moreover, as the scientific observation stage progressed, more types of descriptive words for rocks were used. In terms of psychological and geographic aspects, students showed their selection of places to explore familiar outdoor learning environments, positive perceptions of outdoor learning, and aesthetic appreciation. Finally, this study not only discussed novelty space as a tool for analyzing students' learning effects but also suggested the need for an academic approach considering new learning environments, such as learning through virtual field trips.