The Bibliometric Analysis on Finite Mixture Model

Phoong, Seuk Yen; Khek, Shi Ling; Phoong, Seuk Wai

doi:10.1177/21582440221101039

Cited by 31 publications

(18 citation statements)

References 52 publications

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“…Additionally, this research will use text mining techniques to analyze the content of articles and identify key themes, concepts, and research questions (Yang et al, 2022). This will allow us to understand the evolution of this field over time, including the emergence of new research themes, popularity of certain topics, and impact of key scientists and journals (Phoong et al, 2022). The study will also investigate the international distribution of publications on differentiated instruction, including the countries where research is conducted and published.…”

Section: Introductionmentioning

confidence: 99%

Trend research mapping of differentiated instruction: A bibliometric analysis

Asriadi

Hadi

Istiyono

2023

JPR

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Differentiated instruction is an important teaching approach that adapts educational experiences to fit the varied needs and learning styles of students in the classroom. This study examines the trend of research on differentiated instruction, using a bibliometric analysis to understand the current state of research in this area. The analysis was performed using online databases such as Scopus to locate relevant research articles from 1961 to 2023. The results of the analysis revealed that 746 articles were examined, focusing on factors such as publication year, language, journal, authors, and keywords. The findings indicate a gradual increase in research on differentiated instruction, with a significant rise in the number of articles published in recent years. The majority of the research articles were written in English and authored by scholars from universities in the USA and Europe. The keywords used most frequently in the articles included differentiated instruction, inclusive education and differentiation. This study provides a comprehensive view of the research trends in differentiated instruction, underscoring the need for further research to enhance our understanding of the approach's effectiveness and its impact on student learning outcomes. Recommendations for future research in the field of differentiated instruction include the need for research on themes and concepts that are less studied in the field, such as the application of differentiated learning in online learning, and the use of technology in differentiated instruction.

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Section: Introductionmentioning

confidence: 99%

Trend research mapping of differentiated instruction: A bibliometric analysis

Asriadi

Hadi

Istiyono

2023

JPR

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“…Biblioshiny is a programme that non-coders may use for bibliometric analysis. It can compute generic statistics and show the relationship between chosen objects using the Three-Fields Plot (Phoong et al , 2022; Van Eck and Waltman, 2017). With the help of the Biblioshiny programme, researchers may thoroughly process and analyse bibliographic data and extract the findings in tabular and graphical formats for additional discussion and study (Bashar and Singh, 2022; Singh and Bashar, 2021; Wasiq et al , 2023).…”

Section: Discussionmentioning

confidence: 99%

Beneath the surface: a bibliometric analysis of the hidden risks and costs of blockchain technology

Mahmood,

Asif,

Aljuaid

et al. 2023

IJWIS

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Purpose The purpose of this paper is to identify the negative aspects of blockchain technology and to shed the light on most productive years, countries, authors, sources and frequent keywords. Design/methodology/approach A Web of Science bibliographic data set containing 209 journal articles was evaluated using descriptive and network analytics. A two-step process is adopted in this study; descriptive analysis is initially carried out using RStudio to determine the most productive years, nations, sources and authors, and using co-occurrence of keyword analysis in VOSviewer, the most influential keywords are determined. Findings The findings reveal that 2022 is the most prolific year in terms of number of publications. It is discovered that China tops the list for having published the most articles. Similarly, the most productive authors are Kumar A and Abhishek K. Originality/value To the best of the authors’ knowledge, this bibliometric analysis is unique in that it takes a thorough approach to examine the negative aspects of blockchain technology and identify research trends and offer insights that might guide future research and practical solutions.

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“…Furthermore, research related to the use of technology in self-regulated learning was evaluated using the bibliometric analysis method. According to Phoong et al, (2022) and Zyoud et al, (2017), the bibliometric analysis method is among the most effective methods to analyze a number of studies. Bibliometric analysis is a qualitative and quantitative analysis of a certain subject.…”

Section: Literature Reviewmentioning

confidence: 99%

A Bibliometric Analysis of Research on The Use of Technology in Self-Regulated Learning

Muh. Fiqri Nurrahmatullah,

Ikaputera Waspada

2024

JEB

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This study aimed to determine the primary subjects, well-known authors, often-cited sources, most-cited publications, and countries conducting research on the use of technology-related problems in self-regulated learning. Moreover, this study employed bibliometric techniques to discover and analyze the scientific literature for the purpose of providing recommendations for future research directions. Additionally, the descriptive bibliometric analysis method was employed, and 41 publications were selected from the Scopus database using revised data. It was discovered that, out of the years 2011 to 2023, 2023 stood out with the highest number of publications (16 in total). Furthermore, the United States was identified as the most dominant country in this field, with a total of nine publications and five collaborations with other countries. It was also found that 18 of the 41 journals have been published in Q1 journals. This study focused on finding journals that investigated the use of technology in self-regulated learning, specifically in the fields of 1) e-learning and artificial intelligence; 2) learning, higher education, and teaching; 3) self-regulated learning, students, and mobile learning; and 4) education, systematic literature review, and technology. In addition, due to the limitations of the existing search sources, it was expected that future research would consider expanding the scope of findings using other databases as alternatives (such as Web of Science and Google Scholar). This was expected to enable a more comprehensive picture of the use of technology in self-regulated learning.

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The Bibliometric Analysis on Finite Mixture Model

Cited by 31 publications

References 52 publications

Trend research mapping of differentiated instruction: A bibliometric analysis

Trend research mapping of differentiated instruction: A bibliometric analysis

Beneath the surface: a bibliometric analysis of the hidden risks and costs of blockchain technology

A Bibliometric Analysis of Research on The Use of Technology in Self-Regulated Learning

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