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Journal : ASEAN Journal of Educational Research and Technology

Mapping Research Trends in Materials-Based Science Education for Sustainable Development Goals: A Bibliometric Study Fiandini, Meli; Nandiyanto, Asep Bayu Dani
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

This study maps research trends, knowledge structures, and thematic developments in materials-based science education within the framework of the Sustainable Development Goals (SDGs). A total of 467 documents from the Scopus database (2015-2024) were analyzed using a quantitative bibliometric approach with VOSviewer software. The analysis includes keyword co-occurrence, author collaboration, country contributions, and topic evolution. Results indicate a significant growth in publications since 2020, with authors like Nandiyanto and countries such as the United States being key contributors. Prominent keywords (sustainability, learning, application, and teaching material) highlight a dominant focus on pedagogical and sustainability issues. Overlay visualizations show a thematic shift from technical material issues to competency-based learning approaches. These findings underscore the need for science curricula and teaching strategies that incorporate sustainability principles and material innovation. The study offers a strategic reference point for researchers and educators to align science education with global sustainability challenges.
The Research Trend of Statistical Significance Test: Bibliometric Analysis Al Husaeni, Dwi Fitria; Al Husaeni, Dwi Novia; Fiandini, Meli; Nandiyanto, Asep Bayu Dani
ASEAN Journal of Educational Research and Technology Vol 3, No 1 (2024): AJERT: VOLUME 3, ISSUE 1, March 2024
Publisher : Bumi Publikasi Nusantara

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Abstract

A significance test is a test that can determine whether a research hypothesis is accepted or not. Therefore, significance tests need to be carried out, especially for researchers who will conduct research related to hypothesis testing. This research discusses publication trends regarding significance tests. This research aims to analyze research trends regarding statistical significance tests using bibliometric analysis methods assisted by mapping analysis. Bibliometric analysis methods and mapping analysis with VOSviewer were used in this research. The data source was taken from the Google Scholar database in the period 2013 - 2023. The total number of documents found during the last 10 years was 1000 documents. Based on the research results, it was found that the number of publications regarding statistical significance tests has decreased every year. From a total of 281 documents in 2013 to 7 documents in 2023. 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 significance tests. This research concluded that the trend of research discussing statistical significance tests is decreasing, although, in terms of its use, it is still very important, especially in processing quantitative research data.