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p-Index From 2021 - 2026
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All Journal Elementaria: Journal of Educational Research
Anugrah Arya Bakti
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Religion Humanities Education Languange, Linguistic, Communication & Media Social Sciences

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Trends in Using Structural Equation Modeling in Education on the Scopus Database: Bibliometric Analysis (1984-2024) Zafrullah Zafrullah; Anugrah Arya Bakti; Reza Kastara; Eko Sutrisno Riantoro
Elementaria: Journal of Educational Research Vol. 2 No. 2 (2024): Transformative Learning Approaches
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/elm.v2i2.77

Abstract

This analysis aims to see publication trends regarding the use of structural equation modeling in the field of education. By using predetermined keywords, researchers obtained 433 documents that had gone through the PRISMA method and analyzed using the R Program. From the analysis results, it can be concluded that research using the Structural Equation Modeling approach in the field of education shows a positive trend from 1984 to 2024, with an annual growth rate of 11.58%, and the peak publication is expected to occur in 2024 with 80 documents. The country with the highest number of publications is China (Asia), with 54 publications (12.50%) and a total of 1,286 citations (12.27%). Jambi University from Indonesia is ranked first with the highest number of publications, namely 14 publications (3.24%). Sustainability Journal (Switzerland) was ranked first with an h-index of 9, recording 387 citations and 19 publications. Researcher Tsai Chin-Chung from National Taiwan Normal University was ranked first with an h-index of 8. The article with the highest number of citations was (Scherer et al., 2019) with 955 citations. The keyword "Structural Equation Modeling" is the most frequently used in research, with a total of 72 times, while the keywords "Confirmatory Factor Analysis" and "self-regulated learning" are also worthy of being a focus in further research.
Artificial Intelligence for Learning in Indonesia: Current Research Trends and School Implementation Anugrah Arya Bakti; Rashid, Salman; Zafrullah, Zafrullah; Nur Yusra binti Yacob; Abdulnassir Yassin; Mariano Dos Santos; James Leonard Mwakapemba
Elementaria: Journal of Educational Research Vol. 3 No. 2 (2025): Advancements in Educational Technology Research
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/elm.v3i2.103

Abstract

This study aims to analyze trends and developments in research on Artificial Intelligence for learning in Indonesia. The method used is bibliometric analysis with specific keywords that resulted in 120 research documents. Data analysis was conducted using the VOSviewer application to map keyword clusters and research novelty. The analysis concludes that research on Artificial Intelligence for Learning in Indonesia is divided into four main clusters representing different thematic focuses, including digital technology utilization, cognitive skill development, academic data governance, and instructional integration with performance analysis. The first cluster emphasizes the role of technology in enhancing user engagement, while the second cluster focuses on automation and the development of twenty-first century skills. The third cluster highlights the importance of data management and administrative efficiency, whereas the fourth cluster stresses technology integration in instructional processes and learning evaluation. Furthermore, the novelty analysis indicates that yellow-colored keywords such as “Elementary School”, “Local Wisdom”, and “Motivation” serve as indicators of recent research trends. These findings suggest a shift in research focus toward primary education contexts, the integration of local cultural values, and affective aspects in technology-based instruction.
Co-Authors Abdulnassir Yassin Eko Sutrisno Riantoro James Leonard Mwakapemba Mariano Dos Santos Nur Yusra Binti Yacob Rashid, Salman Reza Kastara Zafrullah Zafrullah Zafrullah, Zafrullah