• 제목/요약/키워드: Key words

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네트워크 텍스트 분석법을 활용한 STEAM 교육의 연구 논문 분석 (Analysis of Articles Related STEAM Education using Network Text Analysis Method)

  • 김방희;김진수
    • 한국초등과학교육학회지:초등과학교육
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    • 제33권4호
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    • pp.674-682
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    • 2014
  • This study aims to analyze STEAM-related articles and to look into the trend of research to present implications for research directions in the future. To achieve the research purpose, the researcher searched by key words, 'STEAM' and 'Convergence Education' through the RISS. Subjects of analysis were titles of 181 articles in journal articles and conference papers published from 2011 through 2013. Through an analysis of the frequency of the texts that appeared in the titles of the papers, key words were selected, the co-occurrence matrix of the key words was established, and using network maps, degree centrality and betweenness centrality, and structural equivalence, a network text analysis was carried out. For the analysis, KrKwic, KrTitle, UCINET and NetMiner Program were used, and the results were as follows: in the result of the text frequency analysis, the key words appeared in order of 'program', 'development', 'base' and 'application'. Through the network among the texts, a network built up with core hubs such as 'program', 'development', 'elementary' and 'application' was found, and in the degree centrality analysis, 'program', 'elementary', 'development' and 'science' comprised key issues at a relatively high value, which constituted the pivot of the network. As a result of the structural equivalence analysis, regarding the types of their respective relations, it was analyzed that there was a similarity in four clusters such as the development of a program (1), analysis of effects (2) and the establishment of a theoretical base (1).

빅 데이터 분석을 통한 해외건설 빅 이슈 개발에 관한 기초연구 (A preliminary Study on Development of Overseas Construction Big Issues Based on Analysis of Big Data)

  • 박환표;한재구
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2017년도 춘계 학술논문 발표대회
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    • pp.93-94
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    • 2017
  • This study have derived the big issue of overseas construction through big data analysis. For identification of big issues on overseas construction, domestic online articles, 30 daily newspapers like the JoongAng Ilbo, 7 construction related articles including construction economy and 1,759 local newspapers and small media companies were analyzed from October 1st, 2015 to September 30th, 2016. 13,884 cases in total were used for big data analyses and big issue candidates were identified. The analysis result is as shown below. First, looking into major issues on overseas construction for a year, construction orders in the Middle East decreased because of the drop in oil prices. Accordingly, there were discussions on concerns and crises we may face as profitabilities worsened in overseas construction. Second, analyzing main concern based on 8 key words on overseas construction among construction issues for the last one year, it was found as following: Region (29.4%), Business environment (21.4%), Group (15.8%), Profitability (14.5%), Policy and Institution (7.8%), Market environment (4.2%), Business (project) (4.15%), and Education (3.2%). Third, among 30 issues on 8 key words, 10 key issues that are likely to spread and continue were identified. Then, a semantic network map among key words and centrality were analyzed.

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Recent Yrends of Powder Metallurgy Development in Japan

  • Endoh, Hiroyuki
    • 한국분말야금학회:학술대회논문집
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    • 한국분말야금학회 2002년도 추계학술강연 및 발표대회
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    • pp.7-7
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    • 2002
  • It is reported about the recent developments of powder metallurgy technologies in Japan. In this several years, we cannot make no progress in the amount of powder metallurgy parts production. In order to expand the markets, it is necessary to understand the market needs, and promote technical developments to satisfy the needs which include Cost Reduction, Weight Reduction, High Performance and Environmental Friendliness. The key words of developments to meet these needs are as follows, High Productivity Net-shape High Strength High Machinability High Wear-resistance Low Friction High Magnetic Properties High Heat Properties Light Weight. It is reported some examples corresponding with every key words.

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텍스트 마이닝 분석을 통한 수학교육 연구 동향 분석 (A Text Mining Analysis for Research Trend about the Mathematics Education)

  • 진미르;고호경
    • East Asian mathematical journal
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    • 제35권4호
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    • pp.489-508
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    • 2019
  • In this paper we used text mining method to analyze journals of mathematics education posterior to the year of 2016. To figure out trends of mathematics education research. we analyzed the key words largely mentioned in the recent mathematics education journals by Term Frequency and Term Frequency-Inverse Document Frequency method. We also looked at how these keywords match up with the key words that appear of education to prepare for future society. This result can infer the characteristics of mathematics education research in the aspect upcoming research topics.

여성건강간호학회지의 최근 3년간의 논문분석(2004-2006년) (Analysis of Published Papers and their Keywords in the Korean Journal of Women Health Nursing (2003-2006))

  • 김증임;박소미;박혜숙;정재원;안숙희
    • 여성건강간호학회지
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    • 제13권1호
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    • pp.51-59
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    • 2007
  • Purpose: This research was aimed to explore the major subjects and research theme and to classify characteristics of the key words in recent Korean Journal of Women Health Nursing. Methods: With survey design, whole 103 published papers during 2003-2006 were analyzed with structured analysis form; research subjects, research methodology, data analysis, and key words of the published papers were classified and extracted. Various theme was founded and classified to 9 domains. Results: Most of the research subjects were women. Eighty-eight percent of papers conducted quantitative research; 83% chose convenience sampling and 69% used survey design, while experimental design was 29%. Key words were categorized 9 domains: demographic, health related concept, health behavior(intervention), sex-related, life event, disease, et al. Among 9 domains, health related concept, especially psycho-social topics such as depression, anxiety, stress were mostly studied and then physiologic topics such as labor pain, fatigue, and menstrual symptoms. Conclusion: Most of the subjects were women and the most common domain studied was health related concepts in Korean Journal of Women Health Nursing. And key words and topics were on women's health issues. We can conclude that Korean Journal of Women Health Nursing has published by her own philosophy.

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핵심어 카드 제작 및 수업시연 온라인 평생교육프로그램이 시간제 발달장애 근로자의 직장출근준비기술에 미치는 효과 (The Effects of Online-based Lifelong Education Program through Key Words Card Production and Class Demonstration on Job Preparation Skills for Workplace of Workers with Developmental Disabilities)

  • 김영준;권량희
    • 디지털융복합연구
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    • 제19권9호
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    • pp.241-255
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    • 2021
  • 본 연구는 핵심어 카드 제작 및 수업시연 온라인 평생교육프로그램이 시간제 발달장애 근로자의 직장출근준비기술에 미치는 효과를 검증하는 데에 목적을 두어 실시되었다. 연구 대상은 시간제로 식당사업체에 근무하고 있는 세명의 발달장애 근로자들이며, 이들이 거주하는 가정과 지하철역을 실험 환경으로 구성하였다. 연구 방법은 단일대상연구를 사용하였으며, 이에 따라 기초선, 중재, 유지를 실험의 설계 조건으로 반영하였다. 연구 결과, 연구 대상들은 핵심어 카드 제작 및 수업시연 온라인 평생교육프로그램을 통하여 직장출근준비기술을 효과적으로 습득 및 유지한 것으로 나타났다. 연구 결과를 통해, 본 연구는 구성된 독립변인과 종속변인이 상호간에 갖는 유의미한 기능적 관계가 타당하다는 측면을 논의 및 결론지을 수 있었다.

4대 해외 패션 컬렉션의 디자인 key-word 비교분석 - 2018년 패션 컬렉션을 중심으로 - (Comparative analysis on design key-word of the four major international fashion collections - focus on 2018 fashion collection -)

  • 김새봄;이은숙
    • 한국의상디자인학회지
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    • 제21권3호
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    • pp.109-119
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    • 2019
  • The purpose of this study is to examine fashion trends and the direction of the four fashion collections by analyzing the design key-words of the four major international fashion collections in 2018. The data of this study was collected by extracting the key-words from Marie Claire Korea in 2018, with the total of the collected data numbering 2,144. The data was analyzed by text mining using the R program and word-cloud, and a co-occurrence network analysis was conducted. The results of this study are as follows: First, the key-words of fashion collection designs in 2018 were fringe and ruffle detail, silk and denim fabric, vivid color, stripe and check pattern, pants suit item, and oversized silhouette, focusing on romanticism and sport. Second, seasonal characteristics of the fashion collections were pastel colors in S/S, primary and vivid colors in F/W. Details were embroidery and cutouts in S/S, patchwork and fringe in F/W. Third, the design trends of the four major fashion collections were presented in the Paris collection: stripes, check patterns, embroidery, lace, tailoring, draping, romanticism, and glamor. In the Milan collection, checks, prints, denim, and minidresses reflected sport and romanticism. The London collection included fringe, ruffles, floral patterns, flower patterns, and romanticism. The New York collections included vivid colors, neon colors, pastel colors, oversize silhouettes, bodysuits, and long dresses.

소음환경에서 표적단어의 예상도가 조절된 한국어의 문장검사목록개발 시안 (Development of a test of Korean Speech Intelligibility in Noise(KSPIN) using sentence materials with controlled word predictability)

  • 김진숙;배소영;이정학
    • 음성과학
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    • 제7권2호
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    • pp.37-50
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    • 2000
  • This paper describes a test of everyday speech understanding ability, in which a listener's utilization of the context-situational information of speech is assessed, and is compared with the utilization of acoustic-phonetic information. The test items are sentences which are presented in a babble type of noise, and the listener response is the key word in the sentence. The key words are always two-syllabic nouns and the questioning sentences are added to obtain the responding key words. Two types of sentences are used. One is the high-predictable sentences for which the key word is somewhat predictable from the context. The other is the low-predictable sentences for which the key-word cannot be predicted from the context. Both types are included in six 40-item forms of the test, which are balanced for intelligibility, key-word familiarity and predictability, phonetic content, and length. Performance of normally hearing listeners shows significantly different functions for various signal-to-noise ratios. The potential applications of this test, particularly in the assessment of speech understanding ability in the hearing impaired, are discussed.

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18대 대통령 선거 후보자의 연설문 네트워크 분석: 단어의 가시성(visibility)과 단어 간 연결성(connectivity)을 중심으로 (Presidential Candidate's Speech based on Network Analysis : Mainly on the Visibility of the Words and the Connectivity between the Words)

  • 홍주현;윤해진
    • 한국콘텐츠학회논문지
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    • 제14권9호
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    • pp.24-44
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    • 2014
  • 이 연구는 제18대 대통령 선거에 출마했던 후보자들의 연설문 담화를 네트워크 관점에서 접근 해 구조적으로 분석하고 연설문에 내재된 의미를 파악하고자 했다. 이를 위해 연설문 담화에서 언급된 단어의 가시성(visibility)과 단어 간 연결성(connectivity)을 살펴보았다. 단어의 가시성은 특정 단어가 얼마나 자주 등장 하는지로, 단어 간 연결성은 네트워크 분석을 통해 연설문에 언급된 단어 간 상호작용을 그래프로 나타내 파악하였다. 박 후보의 경우 '국민행복'과 '약속'이 핵심 키워드로, 문 후보의 경우 '정권교체'와 '한반도,' 안 후보의 경우 '국민'과 '변화'가 핵심 키워드로 나타났다. 이 단어를 중심으로 어떤 단어들이 서로 연결되었는지 네트워크 분석을 하였다. 단어 간 중심성을 분석한 결과 박 후보의 경우 국민과 대한민국, 국민행복, 신뢰가, 문 후보의 경우 대한민국, 보통사람, 국민, 정권교체가, 안 후보의 경우 국민, 정치, 변화가 단어들 간의 관계에서 중심 역할을 하는 것으로 나타났다. 이 연구는 이론적인 측면에서 단어의 네트워크 분석을 통해 대통령 연설문에 내재된 의미를 실증적으로 파악했다는 점에서 의미가 있다. 방법론적인 측면에서는 대통령 후보자의 연설문 담화에 대한 단어 간 연결성을 구조적 측면에서 파악했다는 점에서 정치 커뮤니케이션 연구 분야의 확장에 기여하였다.

프로그램의 주관식 문제 자동 채점 시스템 설계 및 구현 (Design and Implementation of Automatic Marking System for a Subjectivity Problem of the Program)

  • 정은미;최미순;심재창
    • 한국멀티미디어학회논문지
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    • 제12권5호
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    • pp.767-776
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    • 2009
  • 본 논문에서는 자연어 처리의 어려움을 해결하기 위해 키워드와 불리언 연산을 이용한 프로그래밍 언어 자동 채점 시스템을 설계하고 구현하여 실험한다. 프로그래밍 언어는 정확한 문법 체제와 키워드가 존재한다. 이러한 특징을 이용하여 본 논문은 키워드와 불리언 연산을 이용한 프로그래밍 언어 자동 채점 시스템을 설계하고 구현하여 실험한다 프로그래밍 언어를 정답 유형별로 7가지로 나누고 키워드 입력 시 접속사를 특수문자를 이용해 입력하게 하여 논리식을 바로 만들어 내어 쉽게 연산이 가능하게 한다. 제안된 자동 채점시스템의 주관식 채점이 객관적으로 잘 처리됨을 보이기 위해 컴퓨터공학 전공 학생 10명을 대상으로 같은 시험을 시험지와 웹에 동일하게 응시하게 한 후, 3명의 담당 교수에게 채점을 의뢰하고 개발한 시스템으로 채점하여 결과를 비교 분석한다. 주관식 채점에서 활용되는 방대한 자연어 처리를 배제할 수 있도록 키워드와 불리언 연산을 이용한 방식을 제안하므로 구현의 효율성을 높이고 채점을 웹으로 이관함으로써 채점자의 주관적 개입을 배제하고 결과를 빠르게 피드백 해주어 객관성과 신속성을 높이는데 목적이 있다.

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