• Title/Summary/Keyword: Key words

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

  • Kim, Bang-Hee;Kim, Jinsoo
    • Journal of Korean Elementary Science Education
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    • v.33 no.4
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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).

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

  • Park, Hwan-Pyo;Han, Jae-Goo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.05a
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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
    • Proceedings of the Korean Powder Metallurgy Institute Conference
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    • 2002.11a
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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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A Text Mining Analysis for Research Trend about the Mathematics Education (텍스트 마이닝 분석을 통한 수학교육 연구 동향 분석)

  • Jin, Mireu;Ko, Ho Kyoung
    • East Asian mathematical journal
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    • v.35 no.4
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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.

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

  • Kim, Jeung-Im;Park, So-Mi;Park, Hye-Sook;Chung, Chae-Weon;Ahn, Suk-Hee
    • Women's Health Nursing
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    • v.13 no.1
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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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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 (핵심어 카드 제작 및 수업시연 온라인 평생교육프로그램이 시간제 발달장애 근로자의 직장출근준비기술에 미치는 효과)

  • Kim, Young-Jun;Kwon, Ryang-Hee
    • Journal of Digital Convergence
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    • v.19 no.9
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    • pp.241-255
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    • 2021
  • The purpose of this study was to verify the effects of the online lifelong education program which is a key words card production and demonstration on the job preparation skills for work for part-time developmental disabilities. The subjects of this study were three developmental disabilities workers working in a restaurant business on a part-time basis, and the experimental environment was composed of the home and subway stations where they reside. The study method used a single subject study, and the baseline, intervention, and maintenance were reflected as the design conditions of the experiment. As a result, the subjects of the study effectively acquired and maintained the job preparation skills for work work through the online lifelong education program for the production and demonstration of key words cards. Through the results of this study, it was possible to discuss and conclude that the significant functional relationship between the independent variables and the dependent variables is valid.

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

  • Kim, Sae-Bom;Lee, Eun-Suk
    • Journal of the Korea Fashion and Costume Design Association
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    • v.21 no.3
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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.

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

  • Kim, Jin-Sook;Pae, So-Yeong;Lee, Jung-Hak
    • Speech Sciences
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    • v.7 no.2
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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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Presidential Candidate's Speech based on Network Analysis : Mainly on the Visibility of the Words and the Connectivity between the Words (18대 대통령 선거 후보자의 연설문 네트워크 분석: 단어의 가시성(visibility)과 단어 간 연결성(connectivity)을 중심으로)

  • Hong, Ju-Hyun;Yun, Hae-Jin
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.24-44
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    • 2014
  • This study explores the political meaning of candidate's speech and statement who run for the 18th presidential election in the viewpoint of communication. The visibility of the words and the connectivity between the words are analyzed in the viewpoint of structural aspect and the vision, policy. The visibility of the words is analyzed based on the frequency of the words mentioned in the speech or the statement. The connectivity between the words are analyzed based on the network analysis and expressed by graph. In the case of candidate Park, the key word is the happiness of the people and appointment. The key word for candidate Moon is regime change and the Korean Peninsula and the key word for candidate Ahn is the people and change. This study contributes positively to the study of candidate's discourse in the viewpoint of methodology by using network analysis and exploring scientifically the connectivity of the words. In the theoretical aspect this study uses the results of network analysis for revealing what is the leadership components in the speech and the statement. In conclusion, this study highlights the extension of the communication studies.

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

  • Jung, Eun-Mi;Choi, Mi-Sun;Shim, Jae-Chang
    • Journal of Korea Multimedia Society
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    • v.12 no.5
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    • pp.767-776
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    • 2009
  • The purpose of this paper is to design, implement and test the automatic marking system for programming languages using key-words and boolean operations to solve the processing problems of natural languages. There are accurate grammar systems and key-words in programming languages. Using these characteristics, We have designed, programmed, and tested automatic marking system for programming languages through key-words and boolean operations in this paper. We have categorized programming languages into 7 types as the type of answer and when a professor input any key-words, the system make him put conjunction with the special character. It can be logical expressions instantly so that the system easily operates. We asked 10 students who are majoring in computer engineering to take a test on the paper and web to show how well automatic marking system that we have programmed works. Then We requested 3 professors if the subject problems marked objectively. As a result, automatic marking system proved to be appropriate. We have proposed the way of using key-words and boolean operation for prohibiting huge natural language processing in marking of subjective question. It promotes efficiency rate of programming, objectivity and speed through the transferal to the web for marking since the system prohibits marker to include personal opinion on marking and gives feedback quickly

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