• Title/Summary/Keyword: 언어 상호 분석

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The Development of the Checklists for Students' Interaction with Others in Learning Mathematics (수학 학습에서 학생의 상호작용 분석을 위한 도구 개발)

  • Koh Sang Sook;Koh Ho Kyung
    • Journal of Educational Research in Mathematics
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    • v.12 no.4
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    • pp.443-455
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    • 2002
  • 정보화시대를 맞아 어느 때보다도 활발히 전교과에 걸쳐 학생의 의사소통의 능력을 향상하기 위한 다양한 방법이 모색되고 있다. 학교현장의 수학교육자는 수학교수-학습에서 어떤 상호작용이 일어났는지, 특히 다루기 쉬운 도구로써 계산기가 주어졌을 때 어떻게 학생의 지식 발달이 언어적 상호작용에서 이루어지는지를 알아야 한다. 본 연구는 이러한 학생의 상호작용을 분석할 때 필요한 분석도구를 개발하는 것이다. 예비연구와 본 연구를 통해 언어적 상호작용의 구성요소가 세 영역, 즉, 지식구성 진술, 사회적 상호작용 진술, 그리고 교사의 교육어 진술에서 개발되었다. 본 연구에서 개발한 자료를 이용하여 특히 학생의 지식 구성 발달에 따른 상호작용의 구성요소의 특징을 파악하고 이에 필요한 언어적 상호작용의 역할과 활성화 방안을 모색하는 연구가 가능하다.

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An Empirical Study of Diversity and Interoperability of Programming Languages (프로그래밍 언어의 다원성과 상호운영성의 실증적 분석)

  • Ko, Bongsuk;Lee, Byeongcheol
    • KIISE Transactions on Computing Practices
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    • v.23 no.5
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    • pp.304-309
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    • 2017
  • Programmers use multiple languages to reuse legacy code best suited to their problems. However, it is quite challenging to develop error-free multilingual programs because new types of bugs occur since misunderstanding about language interfaces such as Java Native Interface (JNI) and Python/C. There is a considerable amount of research to overcome multilingual program bugs and errors but these researches have less consideration about substantiality of programming languages, language interfaces, and bugs to evaluate their analyses and tools. In this paper, we have identified and establish substantiality of multilingual programming research with empirical study about diversity and interoperability of programming languages in Ubuntu software ecosystem based on real-world statistical data.

Analysis of Teacher's Verbal Interactions and Problem Solving Strategies in Young Children's Environmental Education Using Language Network Analysis Methods (언어네트워크 분석방법을 활용한 유아환경교육에서 교사의 언어적 상호작용과 문제해결전략 분석)

  • Choi, Yoon-Ji
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.147-158
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    • 2021
  • The purpose of this study is to perform of composition of young children teacher's verbal interactions and problem solving strategies by semantic network analysis. The data was collected the narrative of teacher in young children's environmental education. Additionally, this study used categories as a unit of analysis in order to find out structural characteristics. The results of this study were as follows. First, teacher's verbal interactions, providing information was the most cental, high influence appeared along with integration. Second, teacher's problem solving strategies, suggestion was the most cental, high influence appeared along with divergent thinking. Third, teacher's verbal interactions and problem solving strategies, suggestion was the most cental, providing information and divergent thinking appeared a strong connection. Besides, suggestion and decision were mediated by concern of problem, assessment appeared connection. Through these results from this study it is suggested that in order to interact and support problem solving process in young children's environmental education, teacher education to respond and understand contextually with young children is necessary.

Analyses of Verbal Interaction among Students in Small Group Science Learning Using Smart Devices (스마트 기기를 활용한 소집단 과학 학습에서 학생의 언어적 상호작용 분석)

  • Yun, Jeonghyun;Kang, Sukjin;Ahn, Inyoung;Noh, Taehee
    • Journal of the Korean Chemical Society
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    • v.61 no.3
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    • pp.104-111
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    • 2017
  • In this study, we analyzed verbal interactions in small group science learning using smart devices by the level of prior achievement. Four heterogeneous groups at a coed high school in Seoul participated. Verbal interactions during small group science learning were audio- and video-taped, transcribed, and analyzed. Verbal interactions were analyzed at the levels of a turn and an interaction unit. The results revealed that the frequencies of verbal interactions were high in task category, especially at information explanation, information question, and reflection on standards subcategories. Furthermore, the frequencies of high-level students at direction explanation, reflection on standards and progress subcategories were higher than those of low-level students, and the frequencies of low-level students at direction question and information explanation subcategories were higher than their counterpart. In the analyses of the interaction units, the frequencies in symmetric elaborated interaction were high, especially at cumulative and evaluative subcategories.

컴퓨터 환경에서 개념 형성과정을 통한 언어적 상호작용에 관한 연구

  • Go, Sang-Suk;Go, Ho-Gyeong
    • Communications of Mathematical Education
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    • v.13 no.1
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    • pp.381-408
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    • 2002
  • 본 논문에서는 테크놀로지를 활용해 본인이 직접 조작하고 시각화 할 수 있는 환경에서 함수와 그래프, 그를 이용한 문제해결에서 학생들이 수학적 개념 발달을 통해 어떠한 언어적 상호작용이 일어나는가에 관해 조사하고자 한다. 또한 이때 나타나는 언어적 상호작용을 분석하기 위한 분류 틀을 개발하여 언어적 상호작용의 양상을 밝히며, 컴퓨터가 학생들의 의사소통에 어떠한 역할을 하는가를 알아봄으로써 학생의 인지 발달은 어떻게 이루어지는 가를 파악하여 현장 수업에 기여하고자 한다.

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Case Analysis of Verbal Interaction of Science-Gifted Elementary Students in Their Science Classes (초등 과학영재 수업에서의 언어적 상호작용 사례 분석)

  • Kim, Dong-Hyun;Kim, Hyo-Nam
    • Journal of The Korean Association For Science Education
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    • v.31 no.8
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    • pp.1145-1157
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    • 2011
  • The purpose of this study was to analyze and extract the features of verbal interactions between teacher and science-gifted students in their classes. For the purpose of this study, authors observed 27 elementary science classes for the science gifted of three elementary teachers. To analyze the verbal interactions in the classes, the authors have adopted the theoretical background, which was based on Sinclair & Coulthard's Initiative-Response-Feedback pattern. Verbal interactions in the classes were analyzed by Kim's framework, which modified Jeong's framework. IRF patterns were derived from the verbal interactions of science classes for the science gifted. As a result, authors obtained some important features in IRF pattern. The most commonly used IRF pattern was the teacher's managerial question-student's short answer pattern, which was due to the regional policy for the science gifted. The teacher's delayed feedback as well as the teacher's question was meaningful for student's thinking ability. If elementary teachers consider the pattern, the strategy should be applied, which is depending on student levels and levels of contents. But three teachers did not show the characteristic verbal interaction regarded as a pattern strategy. In the future, inservice programs about verbal interaction are needed for the science gifted classes.

Implementation of a Class Analysis Tool Based On Linguistic Interaction Analysis Method (언어 상호 작용을 기반으로 한 수업 분석 도구의 구현)

  • Kwon, Oh-Sung
    • Journal of The Korean Association of Information Education
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    • v.16 no.4
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    • pp.475-482
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    • 2012
  • A class is a complex and interactive process between a teacher and students. This paper describes a software design and implementation of the tool easily to analyze and quantize teaching ability. Our proposed software is implemented based on Flanders linguistic method. The software can easily represent the linguistic analysis results by abstracted graphic drawings. We carry out the performance test of our implemented software targeting incumbent teachers. In the experimental, we could demonstrate the effectiveness and practicality of our implemented software.

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The relations of toddlers' temperament, mother's rearing attitude, and teacher interaction to Toddlers' Language Ability (영아 기질, 어머니 양육행동, 교사 상호작용과 영아 언어능력의 관계)

  • Kim, Hyeon
    • Korean Journal of Childcare and Education
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    • v.6 no.1
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    • pp.67-93
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    • 2010
  • The purpose of the present study was to examine how 25~36-month-old toddlers' temperament, mother's rearing attitude, teacher interaction relates to their language abilities and to analyze the predictive power of these variables in predicting language ability. The subjects were 206 toddlers, 206 mothers and 38 class teachers at child care center in G metropolitan city. The collected data were analyzed using Pearson's correlation analysis and stepwise multiple regression analysis on SPSS program. The results of this study were as follow. First, there was a significant relationship between mother's rearing attitude, teacher interaction and toddlers language abilities. However, toddlers' temperament showed no significant correlations with toddlers language abilities. Second, teacher's positive attitude was the best predictor of toddlers language abilities. Toddlers' reactivity and mother's rational guidance were also predictors of toddlers' language abilities.

Interactive Media Art Approaching Communication through the Nonverbal Communication (비언어 커뮤니케이션 관점에서 바라본 인터랙티브 미디어아트에 대한 접근 및 분석)

  • Mok, Seonah;Paik, Joonki
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.585-594
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    • 2013
  • In this study, we studied methods of communication among audiences, artwork and artist and analyzed interactive media art using the nonverbal communication methods. We analyzed the 4 types of nonverbal communication based on sign and meaning[1] and reclassified suitably for analysis of interactive media art. According to the analysis result, we draw typical characters by analyzing interactive media artwork which were corresponding to the each types. Also we analyzed overlap area and classify. Through these processes, we found communication methods in interactive media artwork connect audiences and artwork by organic combination of several nonverbal communication. In this paper, we suggest a new approach about the communication among audiences, artwork and artist through analyzing interactive media art using nonverbal communication.

Dependency relation analysis and mutual information technique for ASR rescoring (음성인식 리스코링을 위한 의존관계분석과 상호정보량 접근방법의 비교)

  • Chung, Euisok;Jeon, Hyung-Bae;Park, Jeon-Gue
    • Annual Conference on Human and Language Technology
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    • 2014.10a
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    • pp.164-166
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    • 2014
  • 음성인식 결과는 다수의 후보를 생성할 수 있다. 해당 후보들은 각각 음향모델 값과 언어모델 값을 결합한 형태의 통합 정보를 갖고 있다. 여기서 언어모델 값을 다시 계산하여 성능을 향상하는 접근 방법이 일반적인 음성인식 성능개선 방법 중 하나이며 n-gram 기반 리스코링 접근 방법이 사용되어 왔다. 본 논문은 적절한 성능 개선을 위하여, 대용량 n-gram 모델의 활용 문제점을 고려한 문장 구성 어휘의 의존 관계 분석 접근 방법 및 일정 거리 어휘쌍들의 상호정보량 값을 이용한 접근 방법을 검토한다.

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