• Title/Summary/Keyword: Content Expertise

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The Effects of Hashtag Type on Evaluations of Influencer and Fashion Information and Consumer Responses (해시태그 유형이 인플루언서 및 패션 정보 평가, 수용자 반응에 미치는 영향)

  • Kim, Woo Bin;Kim, Dong Seob;Park, Jisoo
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.1
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    • pp.1-16
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    • 2019
  • This study explores the effect of hashtag type on consumer response via evaluations of SNS fashion influencer and information in the context of fashion product communication. The moderating effect of perceived fit between hashtag content and fashion product image on information evaluation was also investigated. An online survey was conducted, and responses from 152 Instagram users were collected. The results indicated that hashtag type (informative vs storytelling) affects the evaluations of influencer and information. First, the informative hashtag has a positive effect on influencer's expertise and usefulness of information. Meanwhile, storytelling type has a positive effect on the familiarity of the influencer. This study also verified the mediated paths from hashtag type to consumer response through the evaluations of SNS fashion influencer and information. The influencer's expertise and familiarity mediated the effect of hashtag type on consumer response. In the information evaluation, only the mediating effect of usefulness was significant. Finally, the high condition of the perceived fit between hashtag content and fashion product image was found to highly evaluate the trust of information. This study extends the scope of fashion communication research from various angles by examining the role of the hashtag as a new type of information source.

The Effects of Personal Media and Influencer Attributes on User's Trust, Viewing Commitment, and Purchase Intention (1인 미디어 콘텐츠 및 인플루언서의 속성이 이용자들의 신뢰, 시청몰입, 구매의도에 미치는 영향)

  • Jun-Seop Lee;Ji-Young Kim
    • Asia-Pacific Journal of Business
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    • v.14 no.2
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    • pp.17-31
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    • 2023
  • Purpose - The purpose of this study is to verify the effects of attributes of personal media content and influencers on the cognitive and emotional trust of platform users. In addition, the structural relationships among cognitive trust, emotional trust, viewing commitment, and purchase intention were examined. Design/methodology/approach - For the empirical analysis of the study, a survey was conducted on 192 consumers who have recently experienced using personal media content. The Confirmatory Factor Analysis (CFA) and the Structure Equation Model (SEM) were hired in order to analyze the survey data. Findings - Findings of this study are 1) informativeness and expertise had a significant effect on cognitive and emotional trust. However, entertainment had no significant effect on both cognitive and emotional trust; 2) interactivity had a significant effect on emotional trust, but not on cognitive trust; 3) cognitive and emotional trust had a positive effect on the viewing commitment of the content; 4)content users' viewing commitment had a positive effect on their intention to purchase recommended products. Research implications or Originality - The theoretical and practical implications were discussed through the above empirical research results, and the limitations of the study and the direction of follow-up studies were presented.

Link Analysis on Institutional Repository web Network of Indian Institute of Technologies Registered in open DOAR-uncovering Patterns and Trends Hidden in the Network

  • Kumar, Kutty
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.2
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    • pp.23-36
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    • 2018
  • Institutional repositories (IR) are promising to be extremely advantageous to scholars especially in developing countries. IR initiatives started in India during the late nineties and the popularity of this concept is growing rapidly in the higher educational and research institutions to disseminate newly emerging knowledge and expertise. The purpose of this paper is to critically analyze the network links of IR websites among four IITs that are registered in open DOAR (Directory of Open Access Repositories) web portal. The Institutional Repositories chosen for the study are IIT Delhi, IIT Hyderabad, IIT Bombay, and IIT Kanpur. The analysis of the study focused on standard graph and network cohesion metrics, such as density, diameter, eccentricity and distances, and clustering coefficient; for an even more detailed analysis advanced centrality measures and fast algorithms such as clique census are used.

Exploring Ways to Improve the First Major Area of the Examination for Appointing Secondary Science Teachers with the Change of Educational Environment (교육환경 변화에 따른 중등 과학교사 임용시험의 1차 전공영역에 대한 개선 방안 탐색)

  • Kwak, Youngsun
    • Journal of Science Education
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    • v.44 no.1
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    • pp.122-132
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    • 2020
  • The purpose of this study is to examine the teacher expertise to be evaluated in the secondary science teacher employment test (TET, hereafter) in order to respond to changes in educational environments including the transition to competency-based curriculum, and ways to improve the first exam in major areas in the current TET. For this purpose, Delphi surveys and in-depth interviews were conducted with 18 professors of science education who have experience in the TET. According to the research results, teacher expertise such as subject teaching, student understanding, intelligence information utilization, community competencies, and so on were suggested. Ways to improve science content exam in the TET include securing fairness and validity by increasing the number of questions, strengthening the connection with the secondary school curriculum, updating assessment areas for certificate subjects periodically, etc. Ways to improve science education exam in the TET include research and development on the types of science education questions, introducing essay test to science education exam, development of a standardized curriculum on science education, etc. Based on the research results, the necessity of revising the curriculum for teacher training colleges, differentiating curriculum between teachers' colleges and natural science colleges, and reforming the teacher training system by introducing graduate school of education were suggested.

The Study on the Assistance Program for Evaluative Accreditation in terms of Child Care Teacher's and Principal's Position, Certificate Level, Expertise Level (보육시설종사자의 직위와 전문성 발달수준 및 보육교사의 자격에 따른 보육시설 조력활동에 대한 평가의 차이)

  • Nam, Mi Kyoung
    • Korean Journal of Childcare and Education
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    • v.7 no.2
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    • pp.43-60
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    • 2011
  • The purpose of this study is to investigate the principals' and teachers' assessment about the assistance program for the evaluative accreditation of child care centers. Subjects were 138 teachers and principal who work in private(family) child care center in D and G city. An instrument to survey of this study was 'Assistance Program Evaluation Scale for the Evaluative Accreditation of Child Care Centers'(Nam, 2010) and 'Self-Assessment of Developmental Levels for Kindergarten Teacher'(Baek & Jo, 2004). Data were analyzed by paired t-test and ANOVA With SPSS 18.0 Version. The results of this study were as follows: First, there were significant differences in the both 'assistance system category' and 'assistance content category' between child care teacher group and principal group. Second, there were significant differences in the 'assistance content category' between the high group and the low group in expertise level. Third, significant differences were found to exist between a second-grade certificate level of child care teacher and a first-grade certificate level of child care teacher in terms of 'assistance domain'.

Tangram Task Modification for Exploring in Elementary Mathematics (초등 수학에서 탐구를 위한 탱그램 과제 변형)

  • Yoo, Jae-Geun;Park, Moon Hwan
    • Education of Primary School Mathematics
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    • v.22 no.1
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    • pp.95-111
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    • 2019
  • This study searched for the possibility of tangram activities through modifying the tasks of elementary school mathematics textbooks into content based open tasks. As a result of analyzing previous researches, it was confirmed the educational effect of the mathematical tasks transformation and the educational value of tangram activities. The analysis of the textbooks revealed that the tangram activities presented in the textbooks are likely to be at the level of play. It was tried to modify 2015 revised curriculum textbook-tasks into content based open tasks. Based on this study, it could be expected advantages of task modification such as improvement of teachers' expertise and expectation of diverse reactions of students.

Characteristics of Fashion Contents of Domestic Male Fashion YouTubers (국내 남성 패션 유튜버 및 패션 콘텐츠 특성 연구)

  • Hong, YunJung
    • Journal of Fashion Business
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    • v.26 no.1
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    • pp.119-139
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    • 2022
  • This study analyzed characteristics of domestic male fashion YouTubers and fashion contents in accordance with the need to analyze various content demands and testes of male consumers in the fashion industry. Using literature research and fashion expert evaluation, characteristic factors of fashion YouTubers were derived and the popular content of fashion YouTubers was classified by subject to analyze contents according to characteristics of YouTubers. Based on literature research, ten representative male fashion YouTubers were evaluated by fashion experts. Characteristics of male fashion contents in Korea were derived from attractiveness-friendliness, friendliness, professionalism-friendliness, and expertise. Contents of male fashion YouTubers were mainly composed of styling contents that could feed back daily looks, fashion-related information contents, and Vlogs. They mainly dealt with daily fashion coordination evaluation made by YouTubers. Based on the proportion of fashion information easily accessed by ordinary men through single fashion item's recommendations, shopping know-how or styling tip was mainly dealt with. This study was significant in that it analyzed characteristics and contents of male fashion YouTubers according to the need to analyze various content demands and tastes of male consumers who have recently emerged as an important consumer group in the fashion industry.

Relationships between Collective Intelligence Quality, Its Determinants, and Usefulness: A Comparative Study between Wiki Service and Q&A Service in Perspective of Korean Users (집단지성의 품질, 그 결정요인, 유용성의 관계: 수용자 관점에서 한국의 위키서비스와 Q&A 서비스의 비교)

  • Joo, Jaehun;Normatov, Ismatilla R.
    • Asia pacific journal of information systems
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    • v.22 no.4
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    • pp.75-99
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    • 2012
  • Innovation can come from inside or outside organizations. Recently, organizations have begun turning to external knowledge more often, through various forms of collective intelligence (CI) as collaborative platform to solve complex problems. Several factors facilitate this CI utilization phenomenon. First, with the rapid development of Internet and social media, numerous web applications have become available to millions of the Internet users over the past few decades. Web 2.0 and social media have become innovative web applications that provide an environment for human social interaction and collaboration. Second, the diffusion of simple and easy-to-use technologies that enable users to interact and design web applications without programming skills have led to vast, previously unknown amounts of user-generated content. Finally, the Internet has enabled communities to connect and collaborate, creating a virtual world of CI. In this study, web enabled CI is defined as a composed ability of individuals who are acting as a single cognitive unit to achieve common goals, think reasonably, solve problems, make decisions, carry out complex tasks, and develop creative ideas collectively through participation and collaboration on the web. Although CI plays a critical role in organizational innovation and collaboration, the dubious quality of CI is still problem that is difficult to solve. In general, the quality level of content collected from the crowd is lower than that from professionals. Thus, it is important to identify determinants of CI quality and to analyze the relationship between CI quality and its usefulness. However, there is a lack of empirical study on the quality factors of web-enabled CI. There exist a variety of web enabled CI sites such as Threadless, iStockphoto or InnoCentive, Wikipedia, and Youtube. One of the most successful forms of web-enabled CI is the Wikipedia online encyclopedia, accessible all over the world. Another one example is Naver KnowledgeiN, a typical and popular CI site offering question and answer (Q&A) services. It is necessary to study whether or not different types of CI have a different effect on CI quality and its usefulness. Thus, the purpose of this paper is to answer to following research questions: ${\bullet}$ What determinants are important to CI quality? ${\bullet}$ What is the relationship between CI quality factors and the usefulness of web-enabled CI? ${\bullet}$ Does CI type have a moderating effect on the relationship between CI quality, its determinants, and CI usefulness? Online survey using Google Docs with email and Kakao Talk was conducted for collecting data from Wikipedia and Naver KnowledgeiN users. A totoal of 490 valid responses were collected, where users of Wikipedia were 220 while users of Naver KnowledgeiN were 270. Expertise of contributors, community size, and diversity of contributors were identified as core determinants of perceived CI quality. Perceived CI quality has significantly influenced perceived CI usefulness from a user's perspective. For improving CI quality, it is believed that organizations should ensure proper crowd size, facilitate CI contributors' diversity and attract as many expert contributors as possible. Hypotheses that CI type plays a role of moderator were partially supported. First, the relationship between expertise of contributors and perceived CI quality was different according to CI type. The expertise of contributors played a more important role in CI quality in the case of Q&A services such as Knowledge iN compared to wiki services such as Wikipedia. This implies that Q&A service requires more expertise and experiences in particular areas rather than the case of Wiki service to improve service quality. Second, the relationship between community size and perceived CI quality was different according to CI type. The community size has a greater effect on CI quality in case of Wiki service than that of Q&A service. The number of contributors in Wikipeda is important because Wiki is an encyclopedia service which is edited and revised repeatedly from many contributors while the answer given in Naver Knowledge iN can not be corrected by others. Finally, CI quality has a greater effect on its usefulness in case of Wiki service rather than Q&A service. In this paper, we suggested implications for practitioners and theorists. Organizations offering services based on collective intelligence try to improve expertise of contributeros, to increase the number of contributors, and to facilitate participation of various contributors.

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A Collaborative Reputation System for e-Learning Content (협업적 이러닝 콘텐츠 평판시스템 연구)

  • Cho, Jinhyung;Kang, Hwan Soo
    • Journal of Digital Convergence
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    • v.11 no.2
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    • pp.235-242
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    • 2013
  • Reputation systems aggregate users' feedback after the completion of a transaction and compute the "reputation" of products, services, or providers, which can assist other users in decision-making in the future. With the rapid growth of online e-Learning content providing services, a suitable reputation system for more credible e-Learning content delivery has become important and is essential if educational content providers are to remain competitive. Most existing reputation systems focus on generating ratings only for user reputation; they fail to consider the reputations of products or services(item reputation). However, it is essential for B2C e-Learning services to have a reliable reputation rating mechanism for items since they offer guidance for decision-making by presenting the ranks or ratings of e-Learning content items. To overcome this problem, we propose a novel collaborative filtering based reputation rating method. Collaborative filtering, one of the most successful recommendation methods, can be used to improve a reputation system. In this method, dual information sources are formed with groups of co-oriented users and expert users and to adapt it to the reputation rating mechanism. We have evaluated its performance experimentally by comparing various reputation systems.

Pedagogical Content Knowledge and Professional Knowledge of Computer Teachers (교과교육 방법적 지식과 컴퓨터교사의 전문성)

  • Ahn, Mi-Lee
    • The Journal of Korean Association of Computer Education
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    • v.4 no.2
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    • pp.135-143
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    • 2001
  • Teachers' cognitive understanding of subject matter content have direct impact on the quality of students learning. In order to understand this, we need to investigate the relationships between the teachers' level of knowledge about the content and the instruction teacher provide for students. Professional development programs for computer education teachers include courses in computer science, curriculum studies, and the application of computers in the classroom. Effective teachers, however, have expertise in the subject matter content, know curriculum, and understand contextual knowledge for teaching computers in the classrooms. Although computer education have evolved for last 20 years, we have not yet made significant progress on researching "what" is the professional knowledge of computer teachers, and "how" they could be trained. Teacher's knowledge includes pedagogical and contextual knowledge of teaching the specific subject. The purpose of this paper is to understand the professional knowledge of computer teachers, and the adoption of PCK (pedagogical content knowledge). As a result of this paper, I hope to initiate further discussions and researches on PCK and its' implication for computer teachers and teacher preparation programs in Korea.

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