scholarly journals STEAM in education: a bibliometric analysis of performance and co-words in Web of Science

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
José-Antonio Marín-Marín ◽  
Antonio-José Moreno-Guerrero ◽  
Pablo Dúo-Terrón ◽  
Jesús López-Belmonte
Keyword(s):  
Scientific Community ◽  
Teaching And Learning ◽  
Web Of Science ◽  
Field Education ◽  
Word Analysis ◽  
Science Technology ◽  
Analysis Of Performance ◽  
And Training ◽  
Over Time ◽  
The Web

Abstract Background Emerging methodologies that apply and integrate science, technology, engineering, art, and math (STEAM) in education have appeared in recent years as a pedagogical alternative providing more holistic and attractive education. Method The research methodology used in this work is of a bibliometric nature. Specifically, an academic performance analysis and a co-word analysis has been carried out. The term STEAM was analyzed in the Web of Science (WoS) database. The WoS programs Analyze Results, Creation Citation Report, and SciMAT were used. A total of 1116 manuscripts were analyzed. Results The results show that studies in the field education of STEAM began in 2006 and have continued uninterruptedly up to the present day, although interest generated in the scientific community has been irregular. Conclusions It can be concluded that STEAM studies have not had an established and robust line of research over time, although it can be observed that the trends in this aspect are focused on the scientific branch of education. In addition, the topics of study on STEAM include points related to gender differences, the influence of STEAM on people of different races, the skills developed by students, and training teachers to implement teaching and learning processes with STEAM.

scholarly journals Scientific Performance and Mapping of the Term STEM in Education on the Web of Science

2020 ◽  
Vol 12 (6) ◽  
pp. 2279 ◽  
Author(s):  
Francisco-Javier Hinojo-Lucena ◽  
Pablo Dúo-Terrón ◽  
Magdalena Ramos Navas-Parejo ◽  
Carmen Rodríguez-Jiménez ◽  
Antonio-José Moreno-Guerrero
Keyword(s):  
Teaching And Learning ◽  
Web Of Science ◽  
Research Papers ◽  
Scientific Performance ◽  
New Era ◽  
Word Analysis ◽  
Science Technology ◽  
Women And Science ◽  
And Mathematics ◽  
Educational Field

Technological progress is causing terms such as “STEM”, an acronym for Science, Technology, Engineering and Mathematics, to burst into the educational arena, marking a new era in the application of innovative and motivating teaching and learning processes. The objective of this research is to analyze the trajectory and the transcendence of the “STEM” concept in the educational field, having as reference the reported literature of Web of Science. The methodology applied in this research is based on bibliometrics, analyzing both the performance and the structural and dynamic development of the concept through a co-word analysis. The total number of documents analyzed is 4390. The results show that the scientific community mainly uses English and research papers to present their results. From 2015 onwards, the main lines of research are beginning to be established, which focus on “women” and “science”. It can be concluded that the term “STEM” in education is beginning to have a greater incidence and impact on the processes of teaching and learning, especially in the field of science, although there are currently discrepancies between men and women in its use.

scholarly journals Co-word analysis and academic performance from the Australasian Journal of Educational Technology in Web of Science

2021 ◽  
pp. 119-140
Author(s):  
Jesús López-Belmonte ◽  
Antonio-José Moreno-Guerrero ◽  
Santiago Pozo-Sánchez ◽  
José-Antonio Marín-Marín
Keyword(s):  
Higher Education ◽  
Educational Technology ◽  
Teacher Perceptions ◽  
Scientific Community ◽  
Teaching And Learning ◽  
Web Of Science ◽  
Second Phase ◽  
Word Analysis ◽  
Australasian Journal ◽  
Technology In Learning

Since its inception in 1985, the Australasian Journal of Educational Technology (AJET) has been dedicated to the diffusion of studies on the integration of technology in higher education. Its track record in this field has placed it in the first quartile of the Scimago Journal & Country Rank. The objective of the study was to reveal to the scientific community the journey and evolution that this journal has had throughout its existence in Web of Science. A bibliometric methodology was used, supported by a scientific mapping from a unit of analysis of 798 documents. For this reason, a co-word analysis can be a fundamental tool for understanding the characteristics of their production and their impact on the scientific community. There is an evident progressive evolution of the studies published in the Australasian Journal of Educational Technology, with a first phase focused on the design and implementation of educational technology in learning environments, a second phase focused on the enrichment of technology and its acceptance within the processes of teaching and learning, and finally a stage focused on student and teacher perceptions of the implementation of technology in the educational context. Implications for practice or policy: We have established a contextual framework to show researchers current trends in educational technology and delineate future lines of research. Those interested in this subject will have a set of bibliometric indicators to delve into the field of educational technology. Higher education teachers and students will discover the evolution of the use of technology in learning spaces.

scholarly journals Documentary Analysis of the Scientific Literature on Autism and Technology in Web of Science

2020 ◽  
Vol 10 (12) ◽  
pp. 985 ◽  
Author(s):  
Noemí Carmona-Serrano ◽  
Jesús López-Belmonte ◽  
José-Luis Cuesta-Gómez ◽  
Antonio-José Moreno-Guerrero
Keyword(s):  
Scientific Community ◽  
Web Of Science ◽  
Scientific Literature ◽  
Document Analysis ◽  
Relevant Research ◽  
Unit Of Analysis ◽  
Word Analysis ◽  
Documentary Analysis ◽  
The One ◽  
The Web

The objective of the study is to track the progression of the scientific literature on autism and the technology applied to this disorder. A bibliometric methodology has been used, based on a co-word analysis. The Web of Science database was chosen to perform the analysis of the literature. A unit of analysis of 1048 publications was configured. SciMAT software was used mainly for document analysis. The results indicate that the first studies appeared in 1992, but it was not until 2009 that the research volume increased considerably. The area of knowledge where these studies were compiled was rehabilitation, which marks the truly therapeutic nature of this type of study. One of the authors with the most studies, as well as the most relevant research, was Sarkar, N. Manuscripts were usually research articles written in English. It could be concluded that research in this field of study focused mainly on interventions carried out through the use of technological resources, with students or young people who present with ASD. This line of research, although not the only one, was the most relevant and the one that had aroused the most interest among the scientific community.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

A five-decade review of gender-based occupational segregation: A bibliometric study of influential authors, institutions, and research clusters

2021 ◽  
Vol 30 (2) ◽  
pp. 117-128
Author(s):  
Leena Sachdeva ◽  
Kumkum Bharti ◽  
Mridul Maheshwari
Keyword(s):  
Wage Differential ◽  
Web Of Science ◽  
Occupational Segregation ◽  
Extensive Field ◽  
Organisational Structures ◽  
Gender Based ◽  
Changes Over Time ◽  
Over Time ◽  
The Web

Despite the proliferation of occupational segregation research, only a limited amount has explored it from a gender perspective. The attention that has been given is widely scattered and requires an analysis to identify the major works undertaken and the changes over time. This study aimed to examine and assimilate articles published on gender-based occupational segregation through a bibliometric analysis. The study examined 512 articles published from the early 1970s to 2020 that were retrieved from the Web of Science database. The findings suggest that gender and occupational segregation remain an extensive field of research, although this research comes mainly from North American and European countries. The low representation from developing countries indicates that more research is needed based on these different socio-cultural settings. This study identified three dominant research clusters, namely gendered organisational structures and systems, measurement of occupational segregation, and wage differential. Studies also covered areas including conceptualization, LGBTQ issues, and the role of legislation and institutions in reducing workplace inequalities; thus, providing a direction for scholars and practitioners.

scholarly journals Some scientific publications of BPKIHS: a bibliometric study of articles listed in the Web of Science

2012 ◽  
Vol 10 (2) ◽  
pp. 139-143
Author(s):  
S Risal ◽  
H N Prasad
Keyword(s):  
Citation Analysis ◽  
Bibliometric Analysis ◽  
Scientific Community ◽  
Web Of Science ◽  
Scientific Productivity ◽  
Health Sciences ◽  
Academic Institution ◽  
Scientific Publications ◽  
Number Of Publications ◽  
The Web

Scientific productivity of any academic institution is expressed by the total number of publications generated by its academic faculties and the use of the publication by scientific community. Citation analysis is done to evaluate the use of the publications. Use of the publication can be studied with the help of bibliometric analysis. Counting publication, publications trends, authorship patterns and citation analysis are parts of bibliometric analysis. Web of Science is one of the best databases which allow the study in the use of the publications through citation analysis. In this article, scientific articles produced by the faculties and other international affiliated faculties of BP Koirala Institute of Health Sciences have been studied. Citation analysis of scientific publications of BP Koirala Institute of Health Sciences is done with the help of the Web of Science, a product of Thomason Reuters.DOI: http://dx.doi.org/10.3126/hren.v10i2.6584 Health Renaissance 2012; Vol 10 (No.2); 139-143 

scholarly journals The Impact of Term Fake News on the Scientific Community. Scientific Performance and Mapping in Web of Science

2020 ◽  
Vol 9 (5) ◽  
pp. 73 ◽  
Author(s):  
Santiago Alonso García ◽  
Gerardo Gómez García ◽  
Mariano Sanz Prieto ◽  
Antonio José Moreno Guerrero ◽  
Carmen Rodríguez Jiménez
Keyword(s):  
Scientific Community ◽  
Web Of Science ◽  
Research Community ◽  
Fake News ◽  
Scientific Performance ◽  
Impact Indicators ◽  
The World ◽  
Multidisciplinary Perspective ◽  
The Impact ◽  
The Web

Nowadays, multiple phenomena have promoted an impact on society, constituting in some cases, not only a contribution of benefits but also of risks. Among them, the fake news phenomenon is considered one of the most burning phenomena today due to the risk it poses to society. In view of this situation, the research community has carried out numerous studies that seek to address this issue from a multidisciplinary perspective. Based on this, the objective of this work was to analyze the productivity and, therefore, the impact of this topic in the research community. To this end, this work advocated a scientometric-type methodology, through scientometric laws, impact indicators, and scientific evolution of 640 publications of the web of science (WOS). The results showed the impact of the fake news discipline today, which is considered an emerging issue that is of interest to many knowledge disciplines around the world. Likewise, the results showed that the publications not only have a focus on analyzing the veracity or not of the news, but that it begins to vertebrate a new line of an investigation directed to the informational education and towards the prevention of the consumption of this type of news through the internet.

scholarly journals Collaboration Networks in the Brazilian Scientific Output in Evolutionary Biology: 2000-2012

2016 ◽  
Vol 88 (1) ◽  
pp. 165-178 ◽  
Author(s):  
Dirce M. Santin ◽  
Samile A.S. Vanz ◽  
Ida R.C. Stumpf
Keyword(s):  
Social Network ◽  
Evolutionary Biology ◽  
Scientific Community ◽  
Web Of Science ◽  
Scientific Output ◽  
Collaboration Networks ◽  
International Scientific Community ◽  
Collaborative Relationships ◽  
Brazilian Science ◽  
Over Time

This article analyzes the existing collaboration networks in the Brazilian scientific output in Evolutionary Biology, considering articles published during the period from 2000 to 2012 in journals indexed by Web of Science. The methodology integrates bibliometric techniques and Social Network Analysis resources to describe the growth of Brazilian scientific output and understand the levels, dynamics and structure of collaboration between authors, institutions and countries. The results unveil an enhancement and consolidation of collaborative relationships over time and suggest the existence of key institutions and authors, whose influence on research is expressed by the variety and intensity of the relationships established in the co-authorship of articles. International collaboration, present in more than half of the publications, is highly significant and unusual in Brazilian science. The situation indicates the internationalization of scientific output and the ability of the field to take part in the science produced by the international scientific community.

scholarly journals Scientometric methods of analysis of the effectiveness of scientific research according to Web of Sciense

2020 ◽  
Vol 8 (1 SI) ◽  
pp. 60-67
Author(s):  
Sergiy Kvitka ◽  
Halyna Starushenko ◽  
Ihor Andrianov
Keyword(s):  
Comparative Analysis ◽  
Scientific Community ◽  
Web Of Science ◽  
Scientific Information ◽  
Scientific Research ◽  
Research Process ◽  
International Scientific Community ◽  
Scientific Authority ◽  
Quantitative Estimates ◽  
The Web

The purpose of the study is to determine the factors for increasing the representation of the Ukrainian scientific community in the international scientific community and raising the international scientific authority of Ukraine.Used Results of the annual G20 evaluation - the effectiveness of research in 2019, conducted by the Institute of Scientific Information (ISI), part of the Web of Science Group.The principles of introduction of scientometric methods of research of publishing activity of scientists in the international and Ukrainian scientific space are considered. Based on the processing of statistical material and the obtained quantitative estimates, a comparative analysis of the effectiveness of research in the G20 and Ukraine according to the Web of Science. In this area, some differences between Ukraine and countries that are world leaders in the organization of the research process are shown. Recommendations for increasing the representation of the Ukrainian scientific community on the Web of Science platform and raising the international scientific authority of Ukraine are offered.

Loops in publication citation networks

2019 ◽  
Vol 46 (6) ◽  
pp. 837-848 ◽  
Author(s):  
Yi Bu ◽  
Yong Huang ◽  
Wei Lu
Keyword(s):  
Computer Science ◽  
Web Of Science ◽  
Citation Network ◽  
Frequent Patterns ◽  
Citation Networks ◽  
Connected Component ◽  
Strongly Connected ◽  
Changes Over Time ◽  
Over Time ◽  
The Web

Traditionally, publication citation networks are regarded as acyclic, that is, no loops in the network as an earlier published article cannot cite a later published article. However, due to the accessibility of pre-print versions of articles, there might be some loops in a publication citation network. This article presents a descriptive statistic on loops in publication citation networks of computer science and physics by employing a network-based indicator, namely, strongly connected component (SCC). By employing computer science and physics disciplines publications from the Web of Science database as examples, this article examines the count of loops, how the count changes over time and how the count relates to the published year difference between publications within the loop in the citation network. Some common structural patterns are also extracted and analysed; we observe that the two disciplines share the most frequent patterns though there exist some minor differences. Moreover, we find that self-citations in terms of authors, authors’ institutions and journals contribute to the formation of loops in publication citation networks.

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