• Title/Summary/Keyword: 과학언어

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Longitudinal Research on the Development of Teaching Ability of Pre-service Science Teachers (예비 과학 교사의 수업 능력 발달에 대한 종단적 연구)

  • Han, JaeYoung
    • Journal of Science Education
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    • v.37 no.2
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    • pp.310-322
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    • 2013
  • The college of education should support pre-service science teachers to develop various abilities as a teacher, in which the teaching ability is the most fundamental one. This study is the result of a longitudinal research project following the processes that pre-service science teachers develop their teaching ability in a college of education. The data gathered include movie clips of seminar presentation, teaching demonstration, secondary school science experiment, and classes in the practicum. In order to analyze the teaching abilities in various context, a framework was developed. The framework consists of 'content,' 'progress,' and 'verbal/nonverbal' with which the movie clips of 5 pre-service science teachers were analyzed. The teaching abilities of pre-service science teachers showed overall development, that include the understanding of learners and curriculum in the 'content,' the time-management and the interaction with learners in the 'progress,' and the nonverbal behavior in the 'verbal/nonverbal.' The implications were discussed on the education in the college of education, such as the increase of teaching opportunities for pre-service science teachers and the support for those opportunities.

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Building Korean Science Textbook Corpus (K-STeC) for research of Scientific Language in Education (교육용 과학언어 연구를 위한 범용 자료로서 과학교과서 말뭉치 K-STeC(Korean Science Textbook Corpus) 구축)

  • Yun, Eunjeong;Kim, Jinho;Nam, Kilim;Song, Hyunju;Ok, Cheolyoung;Choi, Jun;Park, Yunebae
    • Journal of The Korean Association For Science Education
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    • v.38 no.4
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    • pp.575-585
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    • 2018
  • In this study, the texts of science textbooks of the past 20 years were collected in order to systematically carry out researches on scientific languages and scientific terms that have not been noticed in science education. We have collected all the science textbooks from elementary school to high school in the 6th curriculum, the 7th curriculum, and the 2009 revised curriculum, and constructed a corpus comprising of 132 textbooks in total. Sequentially, a raw corpus, a morphological annotated corpus, and a semantic annotated corpus of science terms, were constructed. The final constructed science textbook corpus was named K-STeC (Korean Science Textbook Corpus). K-STeC is a semantic annotated corpus with semantic classification and classification of scientific terms, together with meta information of bibliographic information such as curriculum, subject, grade, and publisher, location information such as chapter, section, lesson, page, and sentence, and structure information such as main, inquiry activities, reference materials, and titles. Throughout the three-year study period, a new research method was created by integrating the know-how of the three fields of linguistic informatics, computer science and science education, and a large number of experts were put in to produce labor-intensive results. This paper introduces new research methodologies and outcomes by looking at the whole research process and methods, and discusses the possibility of future development of scientific language research and how to use the results.

과학철학에 있어서 AI의 활용 가능성

  • Lee, Yeong-Ui
    • Annual Conference on Human and Language Technology
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    • 1990.11a
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    • pp.120-127
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    • 1990
  • 본 논문은 과학철학을 논의하는데 있어서 AI를 활용하는 가능성을 다루고 있다. AI를 이용한 과학철학은 그것의 논의 절차가 분명하게 표현된다는 점 이외에도 그러한 절차를 테스트할 수 있다는 장점을 갖고 있다.

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Natural Language Processing and Cognition (자연언어처리와 인지)

  • 이정민
    • Korean Journal of Cognitive Science
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    • v.3 no.2
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    • pp.161-174
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    • 1992
  • The present discussion is concerned with showing the development of natural language processing and how it is related to information and cognition.On the basis of the computeational model,in which humans are viewed as processors of linguistic structures that use stored knowledge-grammar, lexicon and structures representing the encyclopedic information of the world,such programs of natural language understanding as Winograd's SHRDLU came out.However,such pragmatic factors as contexts and the speaker's beliefs,internts,goals and intentions are not easy to process yet.Language,ingormation and cognition are argued to be closely interrelated,and the study of them,the paper argues,can lead to the development of science on general.

Verbal Interactions in Heterogeneous Small-group Cooperative Learning (이질적으로 구성된 소집단 협동학습에서의 언어적 상호작용)

  • Lim, Hee-Jun;Noh, Tae-Hee
    • Journal of The Korean Association For Science Education
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    • v.21 no.4
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    • pp.668-676
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    • 2001
  • In order to comprehend the internal processes of heterogeneous small-group cooperative learning in science class, this study investigated verbal interaction patterns by the achievement level. Frequency of verbal behaviors was compared in respect of the achievement level, and participation patterns and characteristics were investigated. Verbal interaction patterns by the achievement level were also analyzed based on students' perceptions of interactions. It was found that there were no significant frequency differences between high- and medium-achieving students' verbal behaviors. The verbal interaction patterns showed co-construction processes between high- and medium-achieving students, which was consistent with the students' perceptions of interactions. These suggested that medium-achieving students actively participated in small-group interactions in science class.

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Numerical Reasoning Dataset Augmentation Using Large Language Model and In-Context Learning (대규모 언어 모델 및 인컨텍스트 러닝을 활용한 수치 추론 데이터셋 증강)

  • Yechan Hwang;Jinsu Lim;Young-Jun Lee;Ho-Jin Choi
    • Annual Conference on Human and Language Technology
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    • 2023.10a
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    • pp.203-208
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    • 2023
  • 본 논문에서는 대규모 언어 모델의 인컨텍스트 러닝과 프롬프팅을 활용하여 수치 추론 태스크 데이터셋을 효과적으로 증강시킬 수 있는 방법론을 제안한다. 또한 모델로 하여금 수치 추론 데이터의 이해를 도울 수 있는 전처리와 요구사항을 만족하지 못하는 결과물을 필터링 하는 검증 단계를 추가하여 생성되는 데이터의 퀄리티를 보장하고자 하였다. 이렇게 얻어진 증강 절차를 거쳐 증강을 진행한 뒤 추론용 모델 학습을 통해 다른 증강 방법론보다 우리의 방법론으로 증강된 데이터셋으로 학습된 모델이 더 높은 성능을 낼 수 있음을 보였다. 실험 결과 우리의 증강 데이터로 학습된 모델은 원본 데이터로 학습된 모델보다 모든 지표에서 2%p 이상의 성능 향상을 보였으며 다양한 케이스를 통해 우리의 모델이 수치 추론 학습 데이터의 다양성을 크게 향상시킬 수 있음을 확인하였다.

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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.

KorSciQA: A Dataset for Machine Comprehension of Korean Scientific Paper (KorSciQA: 한국어 논문의 기계독해 데이터셋)

  • Hahm, Younggyun;Jeong, Youngbin;Jeong, Heeseok;Hwang, Hyekyong;Choi, Key-Sun
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.207-212
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    • 2019
  • 본 논문에서는 한국어로 쓰여진 과학기술 논문에 대한 기계독해 과제(일명 KorSciQA)를 제안하고자 하며, 그와 수반하는 데이터 구축 및 평가를 보고한다. 다양한 제약조건이 부가된 크라우드소싱 디자인을 통하여, 498개의 논문 초록에 대해 일관성 있는 품질의 2,490개의 질의응답으로 구성된 기계독해 데이터셋을 구축하였다. 이 데이터셋은 어느 논문에서나 나타나는 논박 요소들인 논의하는 문제, 푸는 방법, 관련 데이터, 모델 등과 밀접한 질문으로 구성되고, 각 논박 요소의 의미, 목적, 이유 파악 및 다양한 추론을 하여 답을 할 수 있는 것이다. 구축된 KorSciQA 데이터셋은 실험을 통하여 기존의 기계독해 모델의 독해력으로는 풀기 어려운 도전과제로 평가되었다.

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The Effects of Reflective Thinking on Verbal Interaction of the Pre-service Teachers in Elementary Science Classes (과학 수업에 대한 반성적 사고가 초등 예비교사의 수업 중 언어적 상호작용에 미치는 효과)

  • Shin, Ae-Kyung
    • Journal of Korean Elementary Science Education
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    • v.26 no.4
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    • pp.428-439
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    • 2007
  • The purpose of this study was to investigate the effects of reflective thinking on verbal interaction of the pre-service teachers in elementary science classes. Two pre-service teachers were selected for this study and they respectively had gave three science classes. Every science class was recorded by using video/audio but only audio data of first and last science classes were transcribed for verbal interaction analysis. The result of this study revealed that the frequency of teacher's verbal interaction in last science class was increased rather than the case of first science class. The increasing patterns of interaction frequency were affected by the teacher's viewpoint and preparation for the science class. Teacher's verbal interactions were divided into low-level and high-level for the analysis of qualitative change. Low-level interactions are which leading students' convergent thinking, high-level interactions are which leading students' divergent thinking. Also the result of this study revealed that high-level interactions in last science class were increased rather than in first class. On the other hand, low-level interactions in last class were reduced rather than in first class. Therefore, this results implied that the effects of reflective thinking on verbal interaction of pre-service teachers in elementary science classes were appeared, but the effects were also affected by teacher's individual characteristics. Especially the changing degrees of qualitative interactions varies with the teacher's viewpoint and preparation for the science class.

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