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G투어 참여 골프 선수들의 재미경험에 관한 현상학적 분석 (Phenomenological analysis of the fun experience of G-Golf Tour players)

  • 한지훈;이철원;서광봉
    • 한국체육학회지인문사회과학편
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    • 제55권4호
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    • pp.343-350
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    • 2016
  • 본 연구는 G투어 참여 골프 선수들의 재미경험에 관하여 현상학적 분석 방법으로 규명하는데 그 목적이 있다. 연구대상은 2016년 현재 G투어에 참여하는 남, 여 프로 골프선수들을 대상으로 남자프로 3명, 여자프로 3명으로 총 6명을 눈덩이 표집법으로 연구 참여자를 선정 하였으며, 심층 면담과 참여관찰을 통해 자료를 수집하고 얻은 내용을 1차적으로 코딩 하여 체계적으로 정리하고 분석하였으며, 2차적으로 주요 주제들이나 현상들을 중심으로 영역을 분류하여 범주화 작업을 진행 하여 의미 있는 해석과 연구 결과를 도출 할 수 있도록 하였다. 또한, 본 연구의 진실성과 타당도를 높이기 위해서 질적 연구 전문가 교수 1명과 박사 2명을 통한 동료 검증을 하였다. 분석결과는 다음과 같다. G투어의 참여 동기, G투어의 인식변화, G투어의 중독, 그리고 G투어의 재미경험으로 결과가 도출되었으며, G투어의 재미경험에 대한 하위요인으로 미디어 노출, 대인관계와 실력향상이 나타났다.

빅데이터와 AI를 활용한 교육용 자료의 분석에 대한 조사 (A Survey on Deep Learning-based Analysis for Education Data)

  • 노영욱
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 춘계학술대회
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    • pp.240-243
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    • 2021
  • 최근에 빅 데이터와 AI 기술을 교육의 평가와 개별 학습에 적용하는 연구 성과가 있었다. 정보 기술의 혁신으로 소셜 미디어, MOOC, 지능형 개인지도 시스템, LMS, 센서 및 모바일 장치 등으로부터 학생들의 개인 기록, 생리학적 데이터, 학습 로그 및 활동, 학습 성과 및 결과를 포함하는 동적이고 복잡한 데이터를 수집 가능하였다. 또한 COVID-19 환경에서 e-러닝이 활성화 되어 많은 양의 학습 데이터가 생성되었다. 이 데이터로부터 학습 분석과 AI 기술을 적용하여 의미있는 패턴의 추출과 지식의 발견이 될 것으로 예상된다. 학습자 측면에서 학생의 학습 및 정서적 행동 패턴과 프로필을 식별하고, 평가 및 평가 방법을 개선하고, 개별 학생의 학습 성과 또는 중퇴를 예측하고, 개인화 된 지원을 위한 적응 시스템에 대한 연구는 필요하다. 본 연구에서는 교육용 데이터를 대상으로 이상탐지와 추천시스템에서 사용하는 기계학습 기술에 대한 조사와 분류를 하여 교육 분야의 연구에 기여하고자 한다.

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특수 분장 1인 방송 콘텐츠의 선호도 분석 (Analysis of Preferences for One-person Broadcast Contents in Special Makeup)

  • 김수지;김은실
    • 한국의류산업학회지
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    • 제25권3호
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    • pp.366-378
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    • 2023
  • Recently, the use of one-person broadcast content for special makeup videos has gained momentum. This study aims to analyze the factors preferred by various age groups as the total number of clicks increase on special makeup videos. It also aims to provide beauty creators with useful data to help them create videos that generate more clicks based on the derived elements. We analyzed previous studies and divided the subjective indicators into place & accessories, editing, model (Y/N), contents and field, and characteristics of the creators. We analyzed top 5 videos from among 257 videos uploaded before July 1, 2020. The subjective indicators were analyzed through a questionnaire survey attempted by 60 respondents in their 10-30s from Jeollanam-do and Gwangju between July 20 to August 31, 2020. The questions majorly focused on intimacy, attractiveness, professionalism, informativity, and playfulness. We analyzed the collected data using SPSS 21.0, and obtained the following results: Informativity, professionalism, attractiveness, and playfulness were considered to be more influential by those aged 10 to 30 years. In particular, factors like visual elements, linguistic characteristics, experts, background music and sound effects, celebrities, product information, and knowhow were most preferred. In fact, it was easy to make videos using these elements. The above results confirmed the utility of such data for beauty-creators-to-be in creating videos that generate more clicks.

POI 에서 딥러닝을 이용한 개인정보 보호 추천 시스템 (Personal Information Protection Recommendation System using Deep Learning in POI)

  • 펭소니;박두순;김대영;양예선;이혜정;싯소포호트
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 추계학술발표대회
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    • pp.377-379
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    • 2022
  • POI refers to the point of Interest in Location-Based Social Networks (LBSNs). With the rapid development of mobile devices, GPS, and the Web (web2.0 and 3.0), LBSNs have attracted many users to share their information, physical location (real-time location), and interesting places. The tremendous demand of the user in LBSNs leads the recommendation systems (RSs) to become more widespread attention. Recommendation systems assist users in discovering interesting local attractions or facilities and help social network service (SNS) providers based on user locations. Therefore, it plays a vital role in LBSNs, namely POI recommendation system. In the machine learning model, most of the training data are stored in the centralized data storage, so information that belongs to the user will store in the centralized storage, and users may face privacy issues. Moreover, sharing the information may have safety concerns because of uploading or sharing their real-time location with others through social network media. According to the privacy concern issue, the paper proposes a recommendation model to prevent user privacy and eliminate traditional RS problems such as cold-start and data sparsity.

Study on the Cultural Influence and Ethical Lessons in Korean Society with a Focus on the Novel "A Christmas Carol" by Charles Dickens

  • Wooyoung Kim
    • International Journal of Advanced Culture Technology
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    • 제11권4호
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    • pp.141-153
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    • 2023
  • In the global context, particularly in Christian nations, Christmas is considered a culturally and ethically significant time. In this study, we examine Charles Dickens' novel, "A Christmas Carol," and the celebration of Christmas in Korea. We explore the values of Christmas in Korea derived from the significance and importance of this novel. These values include repentance, empathy, compassion, and the importance of humanity. Korean Christmas is regarded as a time for practicing these values, bearing a message akin to the transformation of characters like Scrooge. Furthermore, "A Christmas Carol" conveys a message of improvement and change over time, emphasizing change and growth in Korean Christmas. People reflect on their past, correct their mistakes, nurture hope for the future, and experience personal growth and transformation. Additionally, the novel raises awareness of social injustice and inequality, offering alternatives. In Korean society, Christmas encourages the willingness to care for and help others, facilitating discussions and understanding of societal issues. For these reasons, "A Christmas Carol" is considered a culturally and ethically significant time in Korean Christmas, and the two are intertwined in various aspects. This study explores the interaction between cultural change and ethical teachings by 'A Christmas Carol' and investigates the impact of this work on Christmas culture and social change. It serves as the basis for emphasizing moral principles and humanity during the Christmas season, and this research provides suggestions for future research directions, aiming to deepen the understanding of Dickens' work and the importance of "A Christmas Carol." Through these efforts, it is expected that valuable insights into the connection between Christmas culture and moral messages will be gained. In this study, we will delve into the enduring appeal and cultural significance of "A Christmas Carol," discussing how this novel has evolved into a beloved holiday tradition and a true symbol of Christmas. We will also examine the adaptation of this novel into various media and its influence on holiday season celebrations. Insights into the impact of this novel on Korean society and its continued significance in modern times will be provided, suggesting a direction for a healthier and more desirable path for Korean society.

자연어 처리 기술을 활용한 인구 고령화 관련 토픽 분석 (Analysis of Topics Related to Population Aging Using Natural Language Processing Techniques)

  • 박현정;이태민;임희석
    • 한국IT서비스학회지
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    • 제23권1호
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    • pp.55-79
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    • 2024
  • Korea, which is expected to enter a super-aged society in 2025, is facing the most worrisome crisis worldwide. Efforts are urgently required to examine problems and countermeasures from various angles and to improve the shortcomings. In this regard, from a new viewpoint, we intend to derive useful implications by applying the recent natural language processing techniques to online articles. More specifically, we derive three research questions: First, what topics are being reported in the online media and what is the public's response to them? Second, what is the relationship between these aging-related topics and individual happiness factors? Third, what are the strategic directions and implications for benchmarking discussed to solve the problem of population aging? To find answers to these, we collect Naver portal articles related to population aging and their classification categories, comments, and number of comments, including other numerical data. From the data, we firstly derive 33 topics with a semi-supervised BERTopic by reflecting article classification information that was not used in previous studies, conducting sentiment analysis of comments on them with a current open-source large language model. We also examine the relationship between the derived topics and personal happiness factors extended to Alderfer's ERG dimension, carrying out additional 3~4-gram keyword frequency analysis, trend analysis, text network analysis based on 3~4-gram keywords, etc. Through this multifaceted approach, we present diverse fresh insights from practical and theoretical perspectives.

긴급재난문자 만족도에 영향을 미치는 요인 규명 -인천광역시 서비스 대상자를 중심으로- (An Investigation of the Factors Affecting Satisfaction with Cell Broadcast Service(CBS) -Focusing on Users in Incheon-)

  • 박근오;박재영
    • 한국환경과학회지
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    • 제33권3호
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    • pp.193-203
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    • 2024
  • This study aims to determine the factors affecting the level of satisfaction with the Cell Broadcast Service (CBS) among citizens in Incheon. Partial least squares (PLS) regression, instead of multiple regression, was used for the analysis because it can solve multicollinearity and sample size issues. The analysis results are as follows: The factor with the greatest effect on satisfaction with CBS among Incheon citizens, was the elimination of redundancies (VIP=1.185). Therefore, local governments, government agencies, and public organizations must coordinate their ideas and collectively create guidelines to eliminate redundancies. The second most influential factor was the expansion in the broadcast medium from legal, institutional, and policy aspects (VIP=1.087). This is because differences in generation, age, gender, and personal characteristics were not considered. Therefore, it is necessary to devise a customized messaging tool through the expansion of broadcast media. The broadcast criteria of the legal, institutional, and policy perspectives comprised the third most influential factor, with a high VIP value of 1.053. Consequently, it is essential to devise a plan to avoid distributing unnecessary cell broadcast services, by establishing criteria for areas and sections, time, and the direct and indirect impact zones of a disaster. In the future, this study could be used as base data to develop policies, guidelines, and response measures for Incheon CBS. Given the lack of research on the diverse characteristics of each social class and the city traits of each region, and a lack of concrete empirical research on each factor, continuous and in-depth studies are required in the future.

챌린지에 나타난 Z세대의 협업 정보 활동 - 국내 대학생을 중심으로 - (Analysis of Z Generation's Collaborative Information Activities through Challenges: Focusing on Korean College Students)

  • 강지혜
    • 한국도서관정보학회지
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    • 제55권1호
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    • pp.173-192
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    • 2024
  • 본 연구는 대학생 설문을 통해 Z세대가 일상적으로 협업을 하면서 어떻게 정보와 상호작용하는지 그 과정과 양상을 설명하였다. 본 연구는 특별히 급진적 변화 이론(Radical Change Theory)을 적용하여 대학생은 챌린지를 어떤 플랫폼으로 진행하며 어떤 정보행동을 보이는지, 또한 어떤 변화하는 관점을 적용하는지 알아보았다. 대학생들은 인스타그램과 네이버 블로그 등의 플랫폼을 주로 활용하여 챌린지에 참여하였다. 이론의 정보탐색 유형 가운데 첫 번째 유형인 정보탐색의 변화 측면에서는, 정보를 탐색하는 방식이 10여 년 전 디지털 시대가 도래할 때와는 사뭇 다르게 폭넓고 다양한 정보 행동이 관찰되었다. 정보원은 디지털화된 정보원뿐만 아니라 전통적인 정보원인 단행본이나 인적 정보원도 활발하게 활용하였다. 복합 매체의 정보 종류를 가장 많이 활용하였으며, 챌린지를 위해서는 자발적으로 협업을 진행하였다. 정보 행동의 유형2인 변화하는 관점 측면에서 정보획득과 지식확보를 위한 주요 동기가 챌린지를 참여하게 하였으며, 상호영향의식, 사회적 참여의식과 정서적 연계 등의 공동체 의식을 느끼는 것으로 나타났다.

Prospects For the Development Of Distance Educational Learning Technologies During The Training Of Students Of Higher Education

  • Oksana Rohach;Tetiana Pryhalinska;Iryna Kvasnytsya;Mykhailo Pohorielov;Mykola Rudnichenko; Olena Lastochkina
    • International Journal of Computer Science & Network Security
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    • 제24권8호
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    • pp.179-183
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    • 2024
  • This article identifies the problems and substantiates the directions for the development of distance learning technologies in the training of personnel. An example of using digital media to create a remote access laboratory is given. The article is devoted to the definition of the main aspects of the organization of distance education. Rapid digitization, economic, political and social changes taking place in Ukraine necessitate the reform of the education system. First of all, it concerns meeting the educational needs of citizens throughout their lives, providing access to educational and professional training for all who have the necessary abilities and adequate training. The most effective solution to the above-mentioned problems is facilitated by distance learning. The article analyzes the essence and methods of distance learning organization, reveals the features of the use of electronic platforms for the organization of this form of education in different countries of the world. The positive characteristics of distance learning are identified, namely: extraterritoriality; savings on transport costs; the interest of modern youth in the use of information tools in everyday life; increase in the number of students; simplicity and accessibility of training; convenient consultation system; democratic relations between the student and the teacher; convenience for organizations in training their employees without interrupting their regular work; low level of payment for distance education compared to traditional education; individual learning pace; new teacher status. Among the negative features of online education, the author refers to the following problems: authentication of users during knowledge verification, calculation of the teacher's methodological load and copyright of educational materials; the high labor intensity of developing high-quality educational content and the high cost of distance learning equipment; the need to provide users with a personal computer and access to the Internet; the need to find and use effective motivation mechanisms for education seekers.

예비유아교사의 안전돌봄 실천행위 인식 연구 (A study on the Perception of Safety care Practices of Prospective Pre-service Early Childhood Teachers)

  • 김세루
    • 보건의료생명과학 논문지
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    • 제11권2호
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    • pp.271-277
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    • 2023
  • 본 연구는 예비유아교사의 안전돌봄 실천행위 인식을 알아보기 위해 G광역시 G대학교 예비유아교사 125명을 대상으로 하였다. 수집된 자료는 One-way ANOVA와 Scheffe 사후검증을 실시하여 분석하였다. 연구결과, 학년에 따른 예비유아교사의 안전돌봄 실천행위 인식의 전체는 통계적으로 유의한 차이가 나타났다. 하위요인인 '생활안전', '교통안전', '폭력 및 신변안전', '약물 및 사이버중독', '재난안전'에서는 통계적으로 유의한 차이가 나타났고 집단 간의 차이가 나타났다. 반면에 '직업안전', '응급처치'에서는 통계적으로 유의한 차이가 나타나지 않았다. 이러한 결과를 통해 안전돌봄 실천행위를 측정하여 안전역량을 신장시키고자 하며, 예비유아교사의 안전에 대한 실무교육 기회 확대, 다양한 매체 개발, 무엇보다 유아교사양성과정에서 안전과 관련한 수업운영과 내용을 토대로 예비유아교사교육 프로그램을 개발하는데 기초자료를 제공하고자 한다.