• Title/Summary/Keyword: 언어 분석

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A Study on Professor Trust, Achievement Motivation, and Self-efficacy among Allied Health Students : Focusing on the G University (보건계열학과 대학생들의 교수신뢰, 성취동기, 자기효능감에 관한 연구 : G대학 중심으로)

  • Hwang, Min-Ji;Bang, Yo-Soon
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.1
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    • pp.157-166
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    • 2019
  • The purpose of this study was to investigate the level of professor trust, achievement motivation, and self-efficacy of health college students in G university, and to analyze the relationship between these variables and its influential factors to provide basic data on improvement of teaching methods and academic achievement. The study period was March 1 through 30, 2018. Study subjects were 276 health college students in G university located in G. City. The survey was conducted by the researcher, described the purpose of the study and distributed and collected the questionnaires. The questionnaire consisted of professor trust 27 items, achievement motivation 28 items and self-efficacy 24 items. As a result, professor trust was higher when the grade was lower and the degree of major satisfaction was better, and in order of the division of the health administration, the department of speech-language therapy, and the department of nursing. Achievement motivation was higher in the first grade than in 4th grade and when the degree of major satisfaction was better. Self-efficacy was higher in order of higher grades. Professor trust, achievement motivation, and self-efficacy were correlated with each other, and achievement motivation and self-efficacy influenced the professor trust. The result of this study suggests that the achievement motivation and self-efficacy of college students will be improved based on the mutual trust among the members of the university.

The Synesthetic Presence and Physical Movement of Nong-ak as Seen Through Affect Theory (정동 이론으로 본 농악의 공감각적 현존과 신체 운동)

  • Kwon, Eun-Young
    • (The) Research of the performance art and culture
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    • no.40
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    • pp.5-35
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    • 2020
  • Affect is intensity and quality that are generated as the physical body senses the outside world. Of experienced affect, notions that are granted meaning and interpretation are emotions. Affect theory distinguishes emotion and affect and by focusing on affect, it provides methods with which to analyze physical body responses and changes and it presents new possibilities to performing arts research that uses the physical body as a medium. Nong-ak is art that concentrates mainly on the occurrence of affect rather than 'representation'. Nong-ak is a performance type in which sound, color, texture, and physical movement overlap and exist in a synesthetic way. Here, physical things such as instruments, props, costumes, and stage devices are gathered together with non-physical things such as rhythm, mood, and atmosphere around human bodies. The physical body is stimulated by these things, displays tendencies that suit performances, and becomes 'the body without an image' as it immerses itself into the performance, acting while displaying 'quasi-corporeality'. The body, which moves automatically as if without consciousness, appears more easily within groups. To transition individuals of everyday life to 'the body without an image', Nong-ak executes the group physical exercise of 'Jinpuri'. Such physical exercise builds up affect by increasing nonverbal communion and communication and brings out the creativity of individuals within mutual trust and a sense of belonging. Affect and emotion stirred up by Nong-ak act as confirmation and affirmation of the existence, vitality, and ability of one's self and groups. Such affirmation recalls Nong-ak as a meaningful and important value from group dimensions and perceives it as a performance form that should be preserved and passed on.

Interdisciplinary Collaboration in the Experiences of Science and Technology Researchers: Focusing on the Perceptions, Difficulties, and Overcoming Strategies (과학기술 연구자들의 경험을 통해 살펴본 학제간 협업 -인식, 어려움 그리고 극복전략을 중심으로-)

  • Jun-Ki Lee;Hyojeong Hwang;Su-Bok Baek;Sein Shin
    • Journal of The Korean Association For Science Education
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    • v.43 no.2
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    • pp.151-166
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    • 2023
  • This study identified the perceptions of science and technology researchers about interdisciplinary collaboration and the difficulties experienced in the collaboration process and the types of strategies they set up to overcome them. For this study, a questionnaire was developed with five-point Likert-scale questions that confirm attitudes toward interdisciplinary collaboration and qualitative questions that describe difficulties and strategies to overcome difficulties experienced in the collaboration experience. A total of 79 domestic science and technology researchers responded to the survey, and the collected data were analyzed quantitatively and qualitatively. As a result of the study, it was confirmed that the recognition of the efficacy of collaboration had an important influence on the intention of collaboration, but the level of the recognition of the efficacy of collaboration was relatively low. In addition, there were four types of difficulties in the interdisciplinary collaboration process, and seven types of strategies were identified to overcome these. Based on these findings, it was suggested that convergence education should reflect the pluralistic nature of modern science and the features of various collaborations that occur within it.

KOMUChat: Korean Online Community Dialogue Dataset for AI Learning (KOMUChat : 인공지능 학습을 위한 온라인 커뮤니티 대화 데이터셋 연구)

  • YongSang Yoo;MinHwa Jung;SeungMin Lee;Min Song
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.219-240
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    • 2023
  • Conversational AI which allows users to interact with satisfaction is a long-standing research topic. To develop conversational AI, it is necessary to build training data that reflects real conversations between people, but current Korean datasets are not in question-answer format or use honorifics, making it difficult for users to feel closeness. In this paper, we propose a conversation dataset (KOMUChat) consisting of 30,767 question-answer sentence pairs collected from online communities. The question-answer pairs were collected from post titles and first comments of love and relationship counsel boards used by men and women. In addition, we removed abuse records through automatic and manual cleansing to build high quality dataset. To verify the validity of KOMUChat, we compared and analyzed the result of generative language model learning KOMUChat and benchmark dataset. The results showed that our dataset outperformed the benchmark dataset in terms of answer appropriateness, user satisfaction, and fulfillment of conversational AI goals. The dataset is the largest open-source single turn text data presented so far and it has the significance of building a more friendly Korean dataset by reflecting the text styles of the online community.

COVID-19-related Korean Fake News Detection Using Occurrence Frequencies of Parts of Speech (품사별 출현 빈도를 활용한 코로나19 관련 한국어 가짜뉴스 탐지)

  • Jihyeok Kim;Hyunchul Ahn
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.267-283
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    • 2023
  • The COVID-19 pandemic, which began in December 2019 and continues to this day, has left the public needing information to help them cope with the pandemic. However, COVID-19-related fake news on social media seriously threatens the public's health. In particular, if fake news related to COVID-19 is massively spread with similar content, the time required for verification to determine whether it is genuine or fake will be prolonged, posing a severe threat to our society. In response, academics have been actively researching intelligent models that can quickly detect COVID-19-related fake news. Still, the data used in most of the existing studies are in English, and studies on Korean fake news detection are scarce. In this study, we collect data on COVID-19-related fake news written in Korean that is spread on social media and propose an intelligent fake news detection model using it. The proposed model utilizes the frequency information of parts of speech, one of the linguistic characteristics, to improve the prediction performance of the fake news detection model based on Doc2Vec, a document embedding technique mainly used in prior studies. The empirical analysis shows that the proposed model can more accurately identify Korean COVID-19-related fake news by increasing the recall and F1 score compared to the comparison model.

Case Study on the Use of Songwriting to Promote Self-Acceptance in Adolescents in Palliative Care (노래 만들기를 통한 완화의료 청소년의 자기수용 증진 사례 연구)

  • Youn, Ha Jeong
    • Journal of Music and Human Behavior
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    • v.19 no.2
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    • pp.55-80
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    • 2022
  • This study aimed to examine the effects of songwriting on the self-acceptance of adolescent in palliative care. Three participants were recruited from a university hospital in an urban area in South Korea. The songwriting intervention was conducted in six sessions, and each session was composed of an introduction, song writing and wrap-up. Participants were asked to complete the Unconditional Self-Acceptance Questionnaire (USAQ) before and after the intervention. Their verbal expressions and written song lyrics observed during the intervention were also measured. The results showed that the USAQ scores increased after the intervention, indicating the improvement in their acceptance of the self without judgement or high reactivity to feedback. In addition, the participants exhibited greater recognition of their emotions and acceptance of themselves as they are. They were also better able to discover internal resources and psychological competence. The participants reported that they could more freely express their emotions through song writing and that recording the songs they created was a means of communicating their feelings to others. Based on this study, it is expected that adolescents in palliative care will be able to experience self-acceptance through such brief song writing interventions.

Quantification of Schedule Delay Risk of Rain via Text Mining of a Construction Log (공사일지의 텍스트 마이닝을 통한 우천 공기지연 리스크 정량화)

  • Park, Jongho;Cho, Mingeon;Eom, Sae Ho;Park, Sun-Kyu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.1
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    • pp.109-117
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    • 2023
  • Schedule delays present a major risk factor, as they can adversely affect construction projects, such as through increasing construction costs, claims from a client, and/or a decrease in construction quality due to trims to stages to catch up on lost time. Risk management has been conducted according to the importance and priority of schedule delay risk, but quantification of risk on the depth of schedule delay tends to be inadequate due to limitations in data collection. Therefore, this research used the BERT (Bidirectional Encoder Representations from Transformers) language model to convert the contents of aconstruction log, which comprised unstructured data, into WBS (Work Breakdown Structure)-based structured data, and to form a model of classification and quantification of risk. A process was applied to eight highway construction sites, and 75 cases of rain schedule delay risk were obtained from 8 out of 39 detailed work kinds. Through a K-S test, a significant probability distribution was derived for fourkinds of work, and the risk impact was compared. The process presented in this study can be used to derive various schedule delay risks in construction projects and to quantify their depth.

A Study of Simplifying Call Numbers with Collection Codes at Children's Libraries (컬렉션코드를 활용한 어린이도서관 청구기호 간략화 방안에 관한 연구)

  • Chung, Yeon-Kyoung;Lee, Mi-Hwa
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.20 no.1
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    • pp.23-38
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    • 2009
  • The purpose of this study was to suggest the collection codes and simplification of call numbers for children's easy access to the children's materials. The classification schemes, author tables, expansion of classification schemes, collections codes, classification numbers used in domestic and foreign children's libraries were surveyed through questionnaires and interviewing with librarians. As a result, in foreign children's libraries, it was common practice to shelve children's materials separately into various collections and sub-collections, to mark the spine with collection code and the lead characters of the author's last name, and not to stick with their classification scheme when it comes to highly circulated children's materials such as fiction, picture book, biographies and so on. Also, in domestic children's libraries, it was found that a collection code was used a few and each call number was almost assigned by KDC number. Therefore, it was suggested that the types and codes of collection and sub-collection were divided as non-fiction, fiction, fiction/mystery, fiction/science fiction, picture book, cartoon, language, folks and fairy tales, biographies, legend, concept book, holiday, award, dinosaur, insect, DIY, transportation, tall book, pop-up, story book, board book, reference, magazine, series, new book, video, and audio and were easily expanded by combining age tables or fiction genre. Also, new simplifying methods of building call numbers with collection codes were suggested.

A Study on Automatic Classification of Subject Headings Using BERT Model (BERT 모형을 이용한 주제명 자동 분류 연구)

  • Yong-Gu Lee
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.2
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    • pp.435-452
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    • 2023
  • This study experimented with automatic classification of subject headings using BERT-based transfer learning model, and analyzed its performance. This study analyzed the classification performance according to the main class of KDC classification and the category type of subject headings. Six datasets were constructed from Korean national bibliographies based on the frequency of the assignments of subject headings, and titles were used as classification features. As a result, classification performance showed values of 0.6059 and 0.5626 on the micro F1 and macro F1 score, respectively, in the dataset (1,539,076 records) containing 3,506 subject headings. In addition, classification performance by the main class of KDC classification showed good performance in the class General works, Natural science, Technology and Language, and low performance in Religion and Arts. As for the performance by the category type of the subject headings, the categories of plant, legal name and product name showed high performance, whereas national treasure/treasure category showed low performance. In a large dataset, the ratio of subject headings that cannot be assigned increases, resulting in a decrease in final performance, and improvement is needed to increase classification performance for low-frequency subject headings.

Analysis of the Realistic Aesthetic Features of the Movie "Parasite" (영화 <기생충>의 현실주의 미학적 특징 해석)

  • Shuai, Wang
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.151-156
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    • 2019
  • In recent years, the Korean realistic theme of the film momentum gradually rising. Realistic films do not stick to the business and market, and do not simply cater to the audience's needs for watching movies. They reflect social violence and cruel reality, allowing the audience to observe the structural contradictions in reality and think about the direction when watching movies. At the recent cannes film festival, "parasite" won the top prize palm in cannes by an overwhelming margin, with the highest score of 3.3 issues. Although this film is positioned as a thriller with comedy elements, it presents the opposite life images of Korean classes to the audience in a parasitic way, which not only expands the possibility and artistry of realistic film aesthetics, but also enhances the appreciation of the film and gives play to its own aesthetic value. Focusing on the technical and literary nature of the film, and having a high degree of attention to real life, it is an excellent work that tells about class opposition and thinking about reality. This paper considers and analyzes the content, form and creation method of parasite, and discusses the continuous exploration and attempt of realistic film to image language under the demand of market and system, evolving into new aesthetic expression.