• Title/Summary/Keyword: researchers satisfaction analysis

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Development and Effectiveness Analysis of Training Program for Core Teachers of Elementary SW Education (초등 SW교육 핵심교원 양성을 위한 연수 프로그램의 개발 및 효과성 분석)

  • Park, Se Young;Jeon, Yong Ju;Seo, Jeong Hee
    • The Journal of Korean Association of Computer Education
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    • v.23 no.3
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    • pp.31-40
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    • 2020
  • In this study, researchers developed the core teacher training program for elementary SW education. In order to develop the training program, the direction of training development was set, and the final version of the training was prepared through the pilot training. The main focus of the training program was to cultivate the teachers' ability to understand and apply SW education based on the national curriculum. After the program development, its effectiveness was analysed by applying it to the actual national training course. This training program was applied to the 2019 winter and summer teacher training courses organized by the Ministry of Education. To analyze the effectiveness of the training program, SW education teaching efficacy and satisfaction were surveyed. The results analysis found out the developed training program has positive effects on trained teachers.

Understanding Individual's Switching Intentions to Cloud Computing Service: Based on the Social Exchange Theory (개인 클라우드 컴퓨팅 서비스로의 전환의도에 관한 연구: 사회교환이론을 중심으로)

  • Shin, Seonjin;Park, Sung-Uk
    • Journal of Korea Technology Innovation Society
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    • v.18 no.1
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    • pp.176-203
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    • 2015
  • While the importance of adopting cloud computing service has been emerged, comparatively little research has been conducted on examining factors of an individual user's intention to switch toward cloud computing service. Hereafter, this study presents and empirically tests users' intention to switch to cloud computing. Our model posits that the characteristics of cloud computing such as effectiveness, economics, accessability, switching cost, security concern, and satisfaction toward existing IT service to cloud service affect perceived value, which in turn, influences intention to switch. An experimental study using student subjects provided empirical validation for our proposed model. Survey data from 204 respondents was used to test the model using partial least square analysis. As the result of the analysis, five hypotheses out of seven hypotheses were supported. According to our results, among the characteristics of cloud computing, effectiveness, economics, switching cost, and security concern were found to have significant impact on users' intention to switch that mediated by perceived value. Based on our research findings, we hope that this research will stimulate researchers' interest in the emerging area of cloud computing adoption.

Analysis of Research on Nursing Home in Korea - Focused on Theses and Journal Papers since 1990 - (노인요양시설에 관한 국내연구 분석 - 1990년 이후 학위논문과 학술지 게재논문을 대상으로 -)

  • Byun, Hea-Ryung;Chung, Mi-Ryum;Kim, Dae-Nyun;Yoon, Young-Sun
    • Journal of the Korean housing association
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    • v.19 no.2
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    • pp.93-103
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    • 2008
  • The tendency of having fewer or no children and increasing number of single household will make the protection of the elderly with geriatric disease even harder in the future. Nursing home can provide long-term care for those who can-not be cared by the family. Korean government has been changing welfare policy for the elderly to cope with the changing needs of them regarding nursing home and geriatric disease. Researchers from various field also showed great interest in nursing home. The purpose of this study is to analyze the number and contents of theses and papers regard-ing nursing home in the 12 journals, to find out overall the research streaming of the theme, method, subject, and district of the papers in the journals. Data were collected by using keyword through library database. 246 thesis and 116 papers published from 1990 to 2006 were analyzed in 7 categories, and 66 papers in the journals were used on the content analysis for lading out research streaming. As results, research streaming according to 5 periods were identified. The most frequent subjects of theses regarding nursing home are nursing home systems and policies. Otherwise, the various subjects of papers in the journals have been deal with, especially plans of nursing home and spacial behavior of the elderly and staffs' satisfaction. In the future, the research subjects related to the nursing home should deal with total space plan as living environment for the elderly and work environment for the staffs according to privacy, spatial use and behavior, culture and lifestyle in Korea, and so on.

A Research on Mid-term and Long-term Development Plan for Nowon-gu Public Libraries in Seoul (서울지역 구립 공공도서관 중장기 발전계획 수립에 관한 연구)

  • Ji Hei, Kang;Kyungjae, Bae;Dahee, Chung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.34 no.1
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    • pp.5-26
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    • 2023
  • This study was employed as a basic study to make a medium and long term development plan for a library system in Nowon-gu, Seoul. This study investigated the characteristics and local conditions of Nowon-gu, and analyzed public library system that can promote the development of the library by understanding the current state of the public library, the library's facility status, collections, manpower, and programs. Through the survey, the frequency and purpose of library use of local residents, users' opinions on satisfaction, collection development, expected roles, and policy directions were investigated. Depending on SWOT analysis, missions and strategies for midto long-term development plans for Nowon-gu Library were devised. Based on the research results, researchers proposed strengthening future education, reading culture, sustainable environmental library, and Nowon-gu cultural platform as development strategies.

Using Python Programming Language for Teaching Industrial Engineering Subjects: A Case Study on Engineering Economy (산업공학 전공 교과목 강의를 위한 파이썬 프로그래밍 활용: 경제성공학 교육 사례 연구)

  • Cho, Yongkyu
    • Journal of Practical Engineering Education
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    • v.14 no.2
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    • pp.245-258
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    • 2022
  • Computational thinking with programming skills has been widely emphasized for future industrial engineering researchers and practitioners in Industry 4.0. However, industrial engineering students still have limited opportunities to improve their computational thinking abilities during university coursework. In this regard, this research study proposes to use Python programming language for teaching classical Industrial Engineering subjects. For a specific case study, we designed and instructed an Engineering Economy lecture which cultivates the concept and techniques of economic analysis for engineering students. During the class, we introduced the usage of several Python libraries that include numpy-financial for basic financial functions, numpy and scipy for simple numerical computation and analysis, and matplotlib for data visualization. Anonymous class evaluation survey showed the effectiveness of the proposed teaching method in terms of both educational satisfaction and contents delivery. Finally, we found additional needs for providing lectures that adopt the similar teaching style to the proposed method.

A systematic review on grit among nursing college students in South Korea (국내 간호대학생의 그릿에 관한 체계적 문헌고찰)

  • Shin, Hyewon;Hong, Minjoo;Choi, Sunyeob
    • The Journal of Korean Academic Society of Nursing Education
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    • v.30 no.2
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    • pp.124-139
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    • 2024
  • Purpose: This systematic review aims to provide an overview of research related to grit among nursing college students in South Korea. Methods: A literature search was done using RISS, KISS, and KCI to identify studies written in Korean from 2010 to 2023. Results: A total of 210 articles were searched, and a final 26 articles were selected in the analysis based on inclusion and exclusion criteria. Three researchers independently coded the characteristics and key content of each paper, including research objectives, methodology, study participants, grit measurement methods, and the relationship between grit and other variables. Subsequently, these coded findings were used to collectively analyze and derive overarching themes through discussion. The analysis results indicated that grit was influenced by factors such as academic major satisfaction, academic performance, and resilience. Grit was found to be a psychological factor affecting nursing students, influencing both major-related competencies and career-related factors. Conclusion: The findings of this review contribute to a deeper understanding of grit within the specific demographic of nursing college students in South Korea and may inform future research and educational practices. In addition, this systematic review provides a comprehensive understanding of the literature on grit among nursing college students in South Korea and serves as a valuable resource for future research and educational interventions in this context.

Trend Analysis of Dance Performance Research Using Keywords and Topic Modeling of LDA Techniques (LDA 토픽 모델링 기법을 활용한 무용공연의 연구 동향 분석)

  • SI YU
    • Journal of Industrial Convergence
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    • v.22 no.3
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    • pp.13-25
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    • 2024
  • This study explores research topics related to dance performances published in Korea based on big data and examines research trends that change according to the trend of the times. The results derived from topic modeling analysis are as follows. (1) Six major topics were derived: a study on marketing strategies and development plans for dance performances, (2) a study on the re-watching factors of dance performance space and performance satisfaction, (3) a study on the popularity and contribution of dance performances in the stage environment, (4) a study on the current status of dance performances and the convergence of dance group operations, (5) a study on the definition of dance performances using various social media, and (6) a study on the direction and development of technology-applied dance performance contents. Accordingly, research trends and topics related to dance, including dance performances, social changes, key keywords of researchers' change interests were extracted, and keywords were compared and analyzed to present academic changes and countermeasures. Accordingly, the need for research to apply new technologies was emphasized as it diversified and fused.

Recommending Core and Connecting Keywords of Research Area Using Social Network and Data Mining Techniques (소셜 네트워크와 데이터 마이닝 기법을 활용한 학문 분야 중심 및 융합 키워드 추천 서비스)

  • Cho, In-Dong;Kim, Nam-Gyu
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.127-138
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    • 2011
  • The core service of most research portal sites is providing relevant research papers to various researchers that match their research interests. This kind of service may only be effective and easy to use when a user can provide correct and concrete information about a paper such as the title, authors, and keywords. However, unfortunately, most users of this service are not acquainted with concrete bibliographic information. It implies that most users inevitably experience repeated trial and error attempts of keyword-based search. Especially, retrieving a relevant research paper is more difficult when a user is novice in the research domain and does not know appropriate keywords. In this case, a user should perform iterative searches as follows : i) perform an initial search with an arbitrary keyword, ii) acquire related keywords from the retrieved papers, and iii) perform another search again with the acquired keywords. This usage pattern implies that the level of service quality and user satisfaction of a portal site are strongly affected by the level of keyword management and searching mechanism. To overcome this kind of inefficiency, some leading research portal sites adopt the association rule mining-based keyword recommendation service that is similar to the product recommendation of online shopping malls. However, keyword recommendation only based on association analysis has limitation that it can show only a simple and direct relationship between two keywords. In other words, the association analysis itself is unable to present the complex relationships among many keywords in some adjacent research areas. To overcome this limitation, we propose the hybrid approach for establishing association network among keywords used in research papers. The keyword association network can be established by the following phases : i) a set of keywords specified in a certain paper are regarded as co-purchased items, ii) perform association analysis for the keywords and extract frequent patterns of keywords that satisfy predefined thresholds of confidence, support, and lift, and iii) schematize the frequent keyword patterns as a network to show the core keywords of each research area and connecting keywords among two or more research areas. To estimate the practical application of our approach, we performed a simple experiment with 600 keywords. The keywords are extracted from 131 research papers published in five prominent Korean journals in 2009. In the experiment, we used the SAS Enterprise Miner for association analysis and the R software for social network analysis. As the final outcome, we presented a network diagram and a cluster dendrogram for the keyword association network. We summarized the results in Section 4 of this paper. The main contribution of our proposed approach can be found in the following aspects : i) the keyword network can provide an initial roadmap of a research area to researchers who are novice in the domain, ii) a researcher can grasp the distribution of many keywords neighboring to a certain keyword, and iii) researchers can get some idea for converging different research areas by observing connecting keywords in the keyword association network. Further studies should include the following. First, the current version of our approach does not implement a standard meta-dictionary. For practical use, homonyms, synonyms, and multilingual problems should be resolved with a standard meta-dictionary. Additionally, more clear guidelines for clustering research areas and defining core and connecting keywords should be provided. Finally, intensive experiments not only on Korean research papers but also on international papers should be performed in further studies.

Comparative Study of User Reactions in OTT Service Platforms Using Text Mining (텍스트 마이닝을 활용한 OTT 서비스 플랫폼별 사용자 반응 비교 연구)

  • Soonchan Kwon;Jieun Kim;Beakcheol Jang
    • Journal of Internet Computing and Services
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    • v.25 no.3
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    • pp.43-54
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    • 2024
  • This study employs text mining techniques to compare user responses across various Over-The-Top (OTT) service platforms. The primary objective of the research is to understand user satisfaction with OTT service platforms and contribute to the formulation of more effective review strategies. The key questions addressed in this study involve identifying prominent topics and keywords in user reviews of different OTT services and comprehending platform-specific user reactions. TF-IDF is utilized to extract significant words from positive and negative reviews, while BERTopic, an advanced topic modeling technique, is employed for a more nuanced and comprehensive analysis of intricate user reviews. The results from TF-IDF analysis reveal that positive app reviews exhibit a high frequency of content-related words, whereas negative reviews display a high frequency of words associated with potential issues during app usage. Through the utilization of BERTopic, we were able to extract keywords related to content diversity, app performance components, payment, and compatibility, by associating them with content attributes. This enabled us to verify that the distinguishing attributes of the platforms vary among themselves. The findings of this study offer significant insights into user behavior and preferences, which OTT service providers can leverage to improve user experience and satisfaction. We also anticipate that researchers exploring deep learning models will find our study results valuable for conducting analyses on user review text data.

Electronic Word-of-Mouth in B2C Virtual Communities: An Empirical Study from CTrip.com (B2C허의사구중적전자구비(B2C虚拟社区中的电子口碑): 관우휴정려유망적실증연구(关于携程旅游网的实证研究))

  • Li, Guoxin;Elliot, Statia;Choi, Chris
    • Journal of Global Scholars of Marketing Science
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    • v.20 no.3
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    • pp.262-268
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    • 2010
  • Virtual communities (VCs) have developed rapidly, with more and more people participating in them to exchange information and opinions. A virtual community is a group of people who may or may not meet one another face to face, and who exchange words and ideas through the mediation of computer bulletin boards and networks. A business-to-consumer virtual community (B2CVC) is a commercial group that creates a trustworthy environment intended to motivate consumers to be more willing to buy from an online store. B2CVCs create a social atmosphere through information contribution such as recommendations, reviews, and ratings of buyers and sellers. Although the importance of B2CVCs has been recognized, few studies have been conducted to examine members' word-of-mouth behavior within these communities. This study proposes a model of involvement, statistics, trust, "stickiness," and word-of-mouth in a B2CVC and explores the relationships among these elements based on empirical data. The objectives are threefold: (i) to empirically test a B2CVC model that integrates measures of beliefs, attitudes, and behaviors; (ii) to better understand the nature of these relationships, specifically through word-of-mouth as a measure of revenue generation; and (iii) to better understand the role of stickiness of B2CVC in CRM marketing. The model incorporates three key elements concerning community members: (i) their beliefs, measured in terms of their involvement assessment; (ii) their attitudes, measured in terms of their satisfaction and trust; and, (iii) their behavior, measured in terms of site stickiness and their word-of-mouth. Involvement is considered the motivation for consumers to participate in a virtual community. For B2CVC members, information searching and posting have been proposed as the main purpose for their involvement. Satisfaction has been reviewed as an important indicator of a member's overall community evaluation, and conceptualized by different levels of member interactions with their VC. The formation and expansion of a VC depends on the willingness of members to share information and services. Researchers have found that trust is a core component facilitating the anonymous interaction in VCs and e-commerce, and therefore trust-building in VCs has been a common research topic. It is clear that the success of a B2CVC depends on the stickiness of its members to enhance purchasing potential. Opinions communicated and information exchanged between members may represent a type of written word-of-mouth. Therefore, word-of-mouth is one of the primary factors driving the diffusion of B2CVCs across the Internet. Figure 1 presents the research model and hypotheses. The model was tested through the implementation of an online survey of CTrip Travel VC members. A total of 243 collected questionnaires was reduced to 204 usable questionnaires through an empirical process of data cleaning. The study's hypotheses examined the extent to which involvement, satisfaction, and trust influence B2CVC stickiness and members' word-of-mouth. Structural Equation Modeling tested the hypotheses in the analysis, and the structural model fit indices were within accepted thresholds: ${\chi}^2^$/df was 2.76, NFI was .904, IFI was .931, CFI was .930, and RMSEA was .017. Results indicated that involvement has a significant influence on satisfaction (p<0.001, ${\beta}$=0.809). The proportion of variance in satisfaction explained by members' involvement was over half (adjusted $R^2$=0.654), reflecting a strong association. The effect of involvement on trust was also statistically significant (p<0.001, ${\beta}$=0.751), with 57 percent of the variance in trust explained by involvement (adjusted $R^2$=0.563). When the construct "stickiness" was treated as a dependent variable, the proportion of variance explained by the variables of trust and satisfaction was relatively low (adjusted $R^2$=0.331). Satisfaction did have a significant influence on stickiness, with ${\beta}$=0.514. However, unexpectedly, the influence of trust was not even significant (p=0.231, t=1.197), rejecting that proposed hypothesis. The importance of stickiness in the model was more significant because of its effect on e-WOM with ${\beta}$=0.920 (p<0.001). Here, the measures of Stickiness explain over eighty of the variance in e-WOM (Adjusted $R^2$=0.846). Overall, the results of the study supported the hypothesized relationships between members' involvement in a B2CVC and their satisfaction with and trust of it. However, trust, as a traditional measure in behavioral models, has no significant influence on stickiness in the B2CVC environment. This study contributes to the growing body of literature on B2CVCs, specifically addressing gaps in the academic research by integrating measures of beliefs, attitudes, and behaviors in one model. The results provide additional insights to behavioral factors in a B2CVC environment, helping to sort out relationships between traditional measures and relatively new measures. For practitioners, the identification of factors, such as member involvement, that strongly influence B2CVC member satisfaction can help focus technological resources in key areas. Global e-marketers can develop marketing strategies directly targeting B2CVC members. In the global tourism business, they can target Chinese members of a B2CVC by providing special discounts for active community members or developing early adopter programs to encourage stickiness in the community. Future studies are called for, and more sophisticated modeling, to expand the measurement of B2CVC member behavior and to conduct experiments across industries, communities, and cultures.