Wongsaphan, Montree
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Bibliometric Analysis using VOSviewer with Publish or Perish of Chinese Speaking Skills Research Phuangthanasan, Kittithara; Wongsaphan, Montree
ASEAN Journal of Educational Research and Technology Vol 3, No 3 (2024): AJERT: VOLUME 3, ISSUE 3, December 2024
Publisher : Bumi Publikasi Nusantara

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Abstract

The purpose of this research is to analyze research trends regarding Chinese speaking skills using bibliometric analysis methods. Bibliometric analysis methods with VOSviewer were used in this research. The data source was taken from the Google Scholar database in the period 2019 - 2024. The total number of documents found during the last 5 years was 780 documents. The results of the article data that research on was found that the number of publications regarding Chinese speaking skills has increased from 2019-2020. The highest number of papers in 2020 was 228 papers. Then, in 2021 the data decreased every year until 2024. The results of article data mapping produce three forms of visualization, namely network, overlay, and density visualization. The mapping results show that research on statistics still needs to be carried out, especially regarding Chinese speaking skills. This research concluded that the trend of research discussing Chinese speaking skills is decreasing, although, in terms of its use, it is still very important, especially in processing quantitative research data. Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Bibliometric Analysis Using VOSviewer with Publish or Perish of CEFR-based Comparison of English Language Teaching Models for Communication Nadtayay, Nawaporn; Wongsaphan, Montree
ASEAN Journal of Educational Research and Technology Vol 4, No 1 (2025): AJERT: VOLUME 4, ISSUE 1, March 2025
Publisher : Bumi Publikasi Nusantara

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This article aims to synthesize research related to the use of CEFR-based Comparison of English language teaching models for communication at the primary school level from 2020-2024 using the bibliometric analysis method assisted by mapping analysis. The data sources were taken from the Google Scholar database for the period 2020 - 2024. A total of 500 documents were found in the last 5 years. According to the research results, the number of publications on statistical significance testing both increases and decreases every year. From a total of 500 documents, as follows: in 2020 there were 86 related research papers, in 2021 there were 98 papers, in 2022 there were 103 papers, in 2023 there were 81 papers and related papers in 2024 there were 16 papers. The results of Article data maps produce three visualizations: network visualization, overlay, and density visualization. The mapping results show that statistical research is still needed, especially CEFR-based comparison of English language teaching models for communication at the primary school level. This study concludes that the research trend discussing statistics is decreasing CEFR-based comparison of English language teaching models. Although in terms of use, it is still very important. This is especially true for processing quantitative research data.