• 제목/요약/키워드: Topic type

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성격유형과 흥미유형에 따른 독서 감상문 토픽 분석 연구 (A Study on the Topic Modeling Analysis of Book Reports on Personality Types and Interest Types)

  • 임정훈
    • 정보관리학회지
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    • 제40권1호
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    • pp.175-198
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    • 2023
  • 본 연구에서는 성격유형과 흥미유형에 따른 독서 감상문에 나타난 독서에 대한 반응의 차이를 탐구하였다. 이를 위해 대전의 D과학고등학교 3학년 학생 81명을 대상으로 성격유형분석 데이터, 흥미유형분석 데이터, 교과독서 활동으로 작성된 독서 감상문 데이터를 수집하였다. 수집된 독서 감상문의 토픽 분석을 수행하고, 성격유형(사고형, 감정형)과 흥미유형(탐구형, 탐구형 외)에 따른 독서 감상문의 토픽 발현 확률을 통계적으로 검증하였다. 이어서 키워드 네트워크 분석을 통해 단어들의 개념 연결 구조를 측정하고, 중심성 지표를 통해 토픽모델링의 분석 결과를 보완하였다. 연구 결과, 토픽 회귀분석을 통해 토픽2(이해와 공부)와 토픽3(읽기와 사고)에서 사고형(T)과 감정형(F) 간에 통계적으로 유의한 차이를 확인할 수 있었으며, 토픽2(이해와 공부)에서 탐구형과 탐구형 외 간에 통계적으로 유의한 차이가 확인되었다. 본 연구의 결과는 맞춤형 도서 추천이나 개인화를 고려한 독서교육의 기초자료로 활용될 수 있을 것이다.

또래와의 언어적 상호작용에 나타난 만 5세 유아의 주제 수행 기술 (Topic Continuity in 5-Year-Old Children During Verbal Interactions With Peers)

  • 성미영
    • 아동학회지
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    • 제23권6호
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    • pp.1-14
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    • 2002
  • This study investigated topic continuity in 5-year-old children during verbal interactions with peers by socioeconomic status and type of task. Each of the 78 children in this study participated in topic continuity sessions consisting of 4 l0-minute play periods with a same-sex peer : 2 in familiar and 2 in unfamiliar situations. Sessions were videotaped and transcribed. Transcripts were analysed by a modified version of the Kertoy and Vetter (1995) topic coding system; categories included topic initiation, topic continuation(collaboration and incorporation), and off-topic. Results showed that children from middle-income families stayed on topic and collaborated more than children from low-income families. Children displayed more topic continuation, collaboration and incorporation in familiar than in unfamiliar situations.

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학습자의 인지수준 및 학습동기 유형에 따른 자유주제 과학탐구의 효과 및 탐구 단계별 상호작용 특성 (The Effect of Free-inquiry Science Activity and Characteristics of Interaction in Each Inquiry Steps by Cognitive Level and Learning Motivational Type of the Students)

  • 신영민;김현경;최병순
    • 한국과학교육학회지
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    • 제30권5호
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    • pp.533-543
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    • 2010
  • 이 연구는 자유주제 과학탐구 과정에서 일어나는 인지수준 향상 정도 및 탐구단계별 상호작용을 분석함으로써, 자유주제 과학탐구에 대한 질적 이해를 돕고자 하였다. 자유주제 과학탐구는 인지수준이 과도기(2B/3A)이고, 학습동기수준이 심층학습형, 심층능력형인 학생들의 탐구능력 신장에 긍정적인 효과가 있었다. 또한 학생들은 탐구과정 중 주제 및 가설설정단계에서 어려움을 겪으며, 자유탐구가 진행됨에 따라 논의의 기술은 증가하나, 상호작용의 질적 향상은 쉽게 나타나지 않음을 알 수 있었다. 심층학습형은 모둠 내에서 사고의 정교화를 촉진하는 역할을 하고 있었다. 심층능력형은 가장 주도적으로 상호작용에 참여하여 논의를 이끄나, 탐구결과에 대한 집착으로 과정적 측면을 소홀히 하는 경향이 있었다. 그리고 피상능력형은 하위수준의 상호작용이 많아서 논의를 심화시키지 못하나, 자유탐구가 진행됨에 따라 점차 상위수준의 상호작용이 증가하는 긍정적인 변화를 보였다. 이 연구로부터 자유주제 과학탐구 활동의 특성 및 자유주제 과학탐구 활동의 진행과 모둠구성에 대한 시사점을 얻을 수 있었으며, 이에 대해 논하였다.

A Family of Topic Constructions in Korean: A Construction-based Analysis

  • Kim, Jong-Bok
    • 한국언어정보학회지:언어와정보
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    • 제20권1호
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    • pp.1-24
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    • 2016
  • Korean is well-known for its topic-prominent properties. In this paper, we look into several subtypes of topic constructions whose grammatical complexities have received much attention in generative grammar. From a semantic/pragmatic view, topics in Korean can be classified into three different types: aboutness, contrastive, and scene-setting. Meanwhile, syntax can classify topic constructions into two types, depending on whether or not the comment clause following topic has a syntactic gap linked to the topic. In this paper, we review some key properties of these topic constructions in Korean, and suggest that each type is licensed by tight interactions between syntactic and semantic constraints. In particular, the paper tries to offer a Construction Grammar analysis where each grammatical component is interacting in non-modular ways and in which the multiple inheritance network of constructions plays an important role in capturing cross-cutting generalizations of the topic constructions.

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영어 화제와 초점의 억양 실현 양상 (Tonal Implementation of English Topic and Focus)

  • 강선미;옥유롬;김기호
    • 음성과학
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    • 제10권4호
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    • pp.41-55
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    • 2003
  • This paper investigates the tonal patterns of English information structure composed of topic and focus. It has been argued in previous theories that there is a significant relationship between English topic-focus structure and intonation. The English topic is marked with L+H* pitch accent and focus is marked with H* pitch accent. These theories, however, are oversimplified ones since they do not consider the contextual differences of topic and focus. To examine more concrete tonal patterns of English topic and focus, we classified topic into two subcategories of reminding topic and old-information topic. Focus was categorized into three: information focus, contrastive focus, and reference focus. The overall results show that native English speakers are inclined to use both the L+H* and H* pitch accent for the topic and focus of an utterance. We also observe a tendency to deaccentuate the topics given as old information and to mark the topics given as noun phrase with H* pitch accent. As for the intonation of focus, H* pitch accent is the most frequent type of accent, but L+H* also shows a high percentage of implementation especially in the context of correction or contrast.

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초등과학영재학생의 자기주도성과 과학창의성의 관계 (The Relationship between Self-Directedness and Scientific Creativity of Science-Gifted Elementary Students)

  • 김민주;임채성
    • 한국초등과학교육학회지:초등과학교육
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    • 제36권4호
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    • pp.379-393
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    • 2017
  • This study analyzed the relationship between self-directedness of science-gifted elementary students and their expression of scientific creativity in science-gifted class. A science-gifted program on the topic of Hydraulic Machine was implemented to 34 fifth-graders in the Science-Gifted Education Center of an education office in Seoul, Korea for four weeks. The self-directedness of the gifted students was divided into three types of 'General, Scientific, and Topic-Related Self-Directedness'. The products of the students' activities were assessed by using a scientific creativity assessment formula. Qualitative research, such as analysis of observations and interviews, was also conducted in order to identify characteristics that were not apparently revealed by quantitative data. The main results of this study are as follows: First, science-gifted elementary students' general self-directedness and their scientific creativity were significantly correlated (r=.373). Second, the students' scientific self-directedness and scientific creativity did not have a significant correlation (r=.294). Third, there was a positive correlation between the students' topic-related self-directedness and their expression of scientific creativity. Their self-rated scores (r=.420) for the topic-related self-directedness and the number of activity types associated with the topic had a positive correlation (r=.350). Fourth, the students were categorized into four groups according to the levels of their self-directedness and scientific creativity, and the result showed that Type HH (high self-directedness and high scientific creativity) was the most common type (15 students, 38.5%), followed by Type LL (low self-directedness and low scientific creativity) (11 students, 28.2%). Eight (20.5%) and five students (12.8 %) belonged to Type LH (low self-directedness and high scientific creativity) and Type HL (high self-directedness and low scientific creativity) respectively. Fifth, the classroom observation of the students in groups revealed that groups with more number of Type HH demonstrated better cooperation and performance. Sixth, the analysis results of the observation were almost matched to the results of the self-directedness and scientific creativity tests. The students with higher self-directedness demonstrated active class participation and good cooperative skills. The students with higher scientific creativity had a tendency to generate creative ideas more frequently in given situations. Seventh, dynamic activities were perceived as enjoyable and exciting by 76.9% of the students, but static activities that require creativity were regarded as interesting only by 23.1% of the students. Among the students who were satisfied with both the creative and static activities, Type HH accounted for the largest proportion (55.6%). In conclusion, factors such as students' interests, initiatives, and attitudes displayed through voluntary participations originated from their own daily life can predict the degree of scientific creativity associated with the topic. Also, when students were categorized into four types according to the level of self-directedness and scientific creativity, there was a tendency of active behavior in class, cooperative skill, and activity satisfaction. This suggested that we should consider self-directedness and scientific creativity in selecting the gifted, grouping them in class, and designing and executing programs for science-gifted elementary students.

Focus, Contrastive Topic and Theories of Focus

  • Wee, Hae-Kyung
    • 한국언어정보학회지:언어와정보
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    • 제5권1호
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    • pp.87-105
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    • 2001
  • This paper categorizes currently available theories of focus into two major types a 'discourse structure approach'(DSA) and a 'sentence structure approach'(SSA) The former DSA is intended to refer to a type of approach that analyzes focus only in terms of the discourse structure in which a focused sentence occurs. The alternative semantics approach which is the most widely available theory of focus belongs to this The latter SSA is meant to refer to a type of theory that analyzes focus in terms of sentence-internal structure, This study supports the SSA be revealing some empirical problems of the DSA that arise is analyzing two different kinds of focus, the A-accented focus and the B-accented focus (contrastive topic), and provides a brief sketch of a comprehensive analysis of focus and contrastive topic.

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토픽모델링 기반의 학교폭력 사례 유형 연구 (A Study on the Categorizes of School Bullying through Topic Modelling Method)

  • 신승기
    • 한국정보교육학회:학술대회논문집
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    • 한국정보교육학회 2021년도 학술논문집
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    • pp.181-185
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    • 2021
  • 본 연구는 학교현장에서 지속적으로 강조되고 있는 학교폭력 예방을 위한 방안을 도출하기 위한 노력의 일환으로 최근의 학교폭력 관련 이슈화되고 있는 주제를 데이터과학의 관점으로 살펴보고자 하였다. 특히, 온라인 SNS데이터를 활용하여 학교폭력 관련 게시물을 크롤링하고 토픽모델링 방법을 활용하여 유형별 특징을 살펴보고자 하였다. 토픽모델링 분석을 통해 도출된 주제별 키워드를 유형별로 정리한 결과를 통해 대체로 학교폭력의 피해 예방과 가해자 처벌 및 조치사안에 대한 내용으로 크게 3가지의 내용으로 구분할 수 있었다. 첫째, 학교폭력 예방활동에 대한 내용으로서 학교폭력예방을 위한 전문 기구들의 역할에 대한 내용이다. 둘째, 학교폭력에 대한 조치사항과 절차에 대한 내용으로 도출되었다. 셋째, 학교폭력의 최근 현안에 대한 내용에 대해서 살펴볼 수 있었다. 추후 연구에서는 데이터기반의 예측을 기반으로 당면하고 있는 사회적 문제해결에 활용하는 연구가 수행될 필요가 있다.

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영어 정보구조의 억양양상에 관한 연구 (A Study on the Intonational Patterns in English Information Structures)

  • 김화영;오미라
    • 말소리와 음성과학
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    • 제1권2호
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    • pp.119-128
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    • 2009
  • Many researchers have argued about the relationship between information structure and intonation. Their results can be summarized in three main points: the intonation of topic and focus in English information structures is implemented as i) a pitch accent, ii) a tune (a pitch accent + (an) edge tone(s)), or iii) a boundary tone. The purpose of this paper is to study various intonational patterns of topic and focus in English information structures, using natural conversations. In this paper, the types of topics and foci are divided, based on contrastiveness. The topics are classified as five non-contrastive and four contrastive topics. The foci are classified as neutral focus, informational focus, and contrastive focus. The results show that the intonation of the topic in English information structures is mainly implemented as a pitch accent, except for the type of the pronoun topic (Lp) which is not implemented as a pitch accent or a tune. However, the intonation of the focus is implemented as a tune in the neutral focus (Fn) and as a pitch accent or a tune in the informational focus (Fi) and the contrastive focus (Fe). In our discussion and conclusion, we suggest that it is not always true that for the meaning of contrast, the topic or the focus is represented as a $L+H^{\ast}$ pitch accent, which has been the main contrastive intonation from earlier studies.

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국민청원 주제 분석 및 딥러닝 기반 답변 가능 청원 예측 (Topic Analysis of the National Petition Site and Prediction of Answerable Petitions Based on Deep Learning)

  • 우윤희;김현희
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제9권2호
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    • pp.45-52
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    • 2020
  • 청와대 국민 청원 사이트가 개설된 이래로 많은 관심을 받고 있다. 본 논문에서는 국민 청원의 주제를 분석하고 딥러닝을 활용하여 답변 가능한 청원을 예측하는 모델을 제안하였다. 먼저, 추천순으로 1,500개의 청원글을 수집하였고, K-means 클러스터링을 적용하여 청원글을 군집하여 대주제를 정의하고, 보다 구체적인 세부 주제를 정의하기 위히여 토픽 모델링을 실시하였다. 다음으로는 LSTM을 활용한 답변 가능한 청원 예측 모델을 생성하여, 20만의 청원동의를 얻는 청원을 예측하기 위한 모델을 개발하였다. 이를 위해 글의 주제와 본문뿐만 아니라 글의 길이, 카테고리, 특정 품사의 비율이 영향을 미칠 수 있는지를 살펴보았다. 그 결과, 본문과 함께 글의 길이, 카테고리, 체언, 용언, 독립언, 수식언의 품사의 비율을 변수로 추가한 모델의 f1-score가 0.9 이상으로 글의 제목과 본문을 변수로 하는 모델보다 예측력이 높음을 알 수 있었다.