• Title/Summary/Keyword: Research and Education Network

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Peculiarities of Pedagogical Technologies in Distance Education

  • Biliavska, Tetiana;Lianna, Olha;Shuliakov, Igor;Babicheva, Hanna;Vashchuk, Liudmyla;Savchenko, Nataliia
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.312-316
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    • 2022
  • The article provides a theoretical substantiation of the pedagogical interaction of the subjects of the educational process in the context of distance learning; taking into account the identified features of the implementation of pedagogical interaction defined teaching methods in distance learning; a course has been developed that reveals the features of the pedagogical interaction of participants in the educational process in conditions of distance learning. To solve the tasks and check starting points, a set of methods was used: theoretical: analysis of philosophical, psychological and pedagogical literature, dissertation research, curricula, analysis of the conceptual and terminological system; empirical: questioning, conversation, self-diagnosis.

The Views of Teachers and Parents of Special Education Schools in Saudi Arabia

  • Bagadood, Nizar H.
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.304-310
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    • 2022
  • This research examines the views of teachers and parents of special schools in Saudi Arabia, exploring the schools' strengths and disadvantages, as well as their impact on teachers, parents, and students with disabilities. The respondents' key views of the schools are identified, including the areas of consensus and conflict, and recommendations are made for the future, based on the findings. This research concerns a specific special education school in Saudi Arabia, and focuses on the understanding of special education in the country. The approach to the study is targeted and qualitative, with the six participants, three teachers and three parents, intentionally selected. The data collection is conducted via semi-structured interviews that explore the participants' views of special education in Saudi Arabia. A number of issues emerge from the results, and one raised by all three teachers is the need to improve school facilities. Although all three parents report that their children clearly benefited from attending a special school, two felt that the offering was insufficient, in terms of the teaching methods, and of supporting cognitive skills.

Miblie Network based on Virtual Network environment (가상 네트워크 환경에 기반한 모바일 네트워크)

  • Lee, Jong-seo;Moon, Il-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.793-794
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    • 2009
  • In recent years a significant increase in computing resources, the Internet, many computing resources associated with multiple users using the service and how it will do for cloud computing or grid computing technology is attracting attention from the networks on physical networks and virtual network links You can configure the virtual network of nodes to configure the virtual network environment, research is being made. Virtualization technology, rather than the actual network operating system is being developed in the field of research for a long time, but this paper is applied to the network field is applied to a mobile network based virtualization technology for virtual mobile network will explore.

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Research Trends in Science Gifted Education from 2011 to 2015: Literature Analysis vs Social Network Analysis (2010년부터 2015년까지 국내 과학영재교육의 연구동향 분석 : 문헌분석 대 사회네트워크분석)

  • Yoon, Jin A;Seo, Hae-Ae
    • Journal of Science Education
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    • v.40 no.3
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    • pp.267-286
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    • 2016
  • The study aimed to investigate a research trend in science gifted education of six years from 2010 to 2015 by utilizing literature analysis and Social Network Analysis (SNA) methods. In this study, 275 papers published in eight major academic journals of science education and gifted education were selected as research subjects. First, through the literature analysis, it was found that the most frequent research topics were cognitive characteristics (25.8%), curriculum/programs (22.6%), and social and emotional characteristics (20.2%). For the research method employed in research papers, the survey research (46.5%) was appeared as the most frequently employed method, and followed by experimental (18.8%), program development (10.6%), correlation (10.3%), and qualitative (6.4%) research methods. The most frequent research subject was appeared as middle school students (33.7%) and followed by elementary school (30.6%), and high school (12.7%) students. Second, the SNA method was utilized for producing keyword frequency, degree centrality and network analyses. It was appeared that the most common keywords over six years included 'science gifted', 'gifted education', and 'creativity' and frequent keywords were science gifted, gifted education, gifted, creativity, science inquiry, perception, (creative) problem solving, science high school, scientific attitude, and STEAM. Third, through 2-mode network analysis, it was found that the research papers about cognitive characteristics were mainly related to perceptions, thinking ability, scientific argumentation, science inquiry and so on. It was also found that the research papers about social and emotional characteristics were related to correlation, motivation, creativity-character, self-efficiency and so on. It was concluded that the SNA method can be performed with literature analysis together for better understandings and interpretations of the research trend of science gifted education in-depth.

Data Sorting-based Adaptive Spatial Compression in Wireless Sensor Networks

  • Chen, Siguang;Liu, Jincheng;Wang, Kun;Sun, Zhixin;Zhao, Xuejian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.8
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    • pp.3641-3655
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    • 2016
  • Wireless sensor networks (WSNs) provide a promising approach to monitor the physical environments, to prolong the network lifetime by exploiting the mutual correlation among sensor readings has become a research focus. In this paper, we design a hierarchical network framework which guarantees layered-compression. Meanwhile, a data sorting-based adaptive spatial compression scheme (DS-ASCS) is proposed to explore the spatial correlation among signals. The proposed scheme reduces the amount of data transmissions and alleviates the network congestion. It also obtains high compression performance by sorting original sensor readings and selectively discarding the small coefficients in transformed matrix. Moreover, the compression ratio of this scheme varies according to the correlation among signals and the value of adaptive threshold, so the proposed scheme is adaptive to various deploying environments. Finally, the simulation results show that the energy of sorted data is more concentrated than the unsorted data, and the proposed scheme achieves higher reconstruction precision and compression ratio as compared with other spatial compression schemes.

A Study on the Formation of the Seoul-focused Network City for Technological Commercialization (메가 시티 서울의 기술상용화 네트워크 도시 형성에 관한 연구)

  • Jung, Sung-Hoon
    • Journal of Engineering Education Research
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    • v.18 no.1
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    • pp.47-53
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    • 2015
  • The aim of this paper is to explore the formation of the Seoul-focused network city for technological commercialization compared with Seoul as a mega city. The growth of Seoul and subsequently, the Seoul metropolitan region as a mega city and mega region has led the uneven regional development in Korea since the 1960s. To reduce a huge gap between the Seoul metropolitan and the non-metropolitan region, the concept of network city can be suggested in terms of the functional and spatial division of labor. More specifically, such division of labour throughout the formation of the Seoul-focused network city concentrates on technological commercialization which is deeply concerned with R&BD (research and business development). For this network city, there are 4 axes such as the axis of South-North Korean cooperation (the axis of R&BD for complex technologies), that of the expansion of a mega city (that of R&BD for green growth technology), that of the linkage of small and medium-sized cites (that of R&BD for life science and technology) and that of megalopolis (that of R&BD for basic technology) with regards to the axis of urban development and technological specialization. It shall be argued that the formation of Seoul-focused network city can be an alternative to the contemporary uneven regional development between the Seoul metropolitan and non-metropolitan region in Korea.

A Study on Research Trends in Literacy Education through a Key word Network Analysis (키워드 네트워크 분석을 통한 리터러시 교육 연구 동향)

  • Lee, Woo-Jin;Baek, Hye-Jin
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.53-59
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    • 2022
  • The purpose of this study is to examine the factors related to learning through analysis of domestic research trends in literacy and to present the direction of literacy education. Research papers from 1993 to February 2022 were collected using RISS. 'Literacy' and 'Education' were used as search keywords, and 200 papers were selected for analysis. As a result of analysis using keyword network analysis, 118 keywords appeared at least three times out of a total of 810 keywords. The order of the keywords with the highest frequency is 'digital literacy', 'media literacy', and 'elementary school'. The following direction was suggested through the analysis results. First, it is required to establish an online teaching and learning resource platform and link it with education policy. Second, it is necessary to set literacy competencies and seek ways to improve competencies. Third, a digital-based convergence education model should be developed. This study is meaningful in that it analyzed the most recent literacy studies and suggested the direction of literacy education.

Analysis of Finnish Education-related Research Trends in Korean Journals : A Network Text Analysis (핀란드 교육 관련 연구 동향분석 : 네트워크 텍스트 분석을 중심으로)

  • Kim YoungHwan;Kim YoungMin;Kim Hyunsoo;Noh Jihwa;Murphy Odo Dennis;Park Changun;Kim EunJi;Bae JinHee;Shon Mi;Chung JuHun;Lee ChaeYoung
    • Journal of the International Relations & Interdisciplinary Education
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    • v.4 no.1
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    • pp.85-111
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    • 2024
  • Since the release of the 2000 PISA results, Finland's education has consistently been regarded as a competitor or benchmark for South Korea's educational system. However, recent indicators of division, opposition, and discontent within our educational sphere suggest a considerable departure from Finland's ethos of happiness in education. Against this backdrop, this study aims to analyze the trends in Finnish education-related research appearing in Korean academic journals. Utilizing network text analysis, we examined 160 papers indexed in RISS with titles containing "Finland" and "education". Key findings are as follows. Firstly, research on Finnish education has been steadily increasing, albeit showing recent signs of decline. Secondly, the majority of research topics were micro-level, with literature review-based methodologies predominating. Thirdly, a minority of researchers accounted for one-third of the total research output. Fourthly, countries compared with Finland predominantly included neoliberal states such as Japan, the United States, the United Kingdom, Australia, and Singapore. Fifthly, research themes and subjects primarily focused on primary and secondary education, particularly in domains such as mathematics and science, influenced by PISA. Future research on Finnish education should transcend localized and fragmented areas of inquiry, undertaking comprehensive investigations into the processes and history of Finland's happiness-oriented education. Such endeavors are essential for deriving insights crucial for our learning. Particularly, consideration should be given to moving beyond literature-based methodologies, fostering international collaborative discussions facilitated online, and linking the Finnish education community with educators, parents, students, local councils, and governmental stakeholders to collectively discuss and research.

Research trends in the Korean Journal of Women Health Nursing from 2011 to 2021: a quantitative content analysis

  • Ju-Hee Nho;Sookkyoung Park
    • Women's Health Nursing
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    • v.29 no.2
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    • pp.128-136
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    • 2023
  • Purpose: Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women's health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling. Methods: The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling. Results: Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: "gynecologic neoplasms," "menopausal health," "health behavior," "infertility," "women's health in transition," and "nursing education for women." Conclusion: The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women's health is evolving with changing times and warrants further progress in the future. Future research on women's health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.

Social Network Analysis of Changes in YouTube Home Economics Education Content Before and After COVID-19 (SNA(Social Network Analysis)를 활용한 코로나19 전후의 가정과교육 유튜브 콘텐츠 변화 분석)

  • Shim, Jae Young;Kim, Eun Kyung;Ko, Eun Mi;Kim, Hyoung Sun;Park, Mi Jeong
    • Human Ecology Research
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    • v.60 no.1
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    • pp.1-20
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    • 2022
  • This paper presents a social network analysis of changes in Home Economics education content loaded on YouTube before and after the outbreak of COVID-19. From January 1, 2008 to June 30, 2021, a basic analysis was conducted of 761 Home Economics education videos loaded on YouTube, using NetMiner 4.3 to analyze important keywords and the centrality of video titles and full texts. Before COVID-19, there were 164 Home Economics education videos posted on YouTube, increasing significantly to 597 following the emergence of the pandemic. In both periods, there was more middle school content than high school content. The content in the child-family field was the most, and the main keywords were youth and family. Before COVID-19, a performance evaluation indicated that the proportion of student content was high, whereas after the outbreak of the disease, teacher content increased significantly due to the effect of distance learning. However, compared with video use, the self-expression and participation of users were lower in both periods. The centrality analysis indicated that in the title, 'family' exhibited a high degree of both centrality and eigenvector centrality over the entire period. Degree centrality of the video title was found to be high in the order of class, online, family, management, etc. after the outbreak of COVID-19, and the connection of keywords was strong overall. Eigenvector centrality indicated that career, search, life, and design were influential keywords before COVID-19, while class, youth, online, and development were influential keywords after COVID-19.