The Evolution of Educational Technology Implementation in Elementary School

A Bibliometric Analysis of Scopus Publications from 2010 to 2025

Authors

DOI:

https://doi.org/10.56741/IISTR.jetia.002200


Keywords:

Educational Technology, Elementary School, Evolution, Learning Enhancement, Scopus

Abstract

The increasing integration of technology in primary education has led to a rapid growth of scholarly publications on educational technology implementation across diverse contexts. However, this expanding body of literature remains fragmented, as it has not been comprehensively examined from an educational technology perspective. The absence of systematic mapping limits a holistic understanding of global research trends in this field. Therefore, this study aims to analyze trends in the implementation of educational technology in primary schools using a bibliometric approach based on Scopus-indexed publications. This study employs a bibliometric research design to systematically map long-term developments over a 25-year period (2000–2025). The methodological framework follows five stages: data retrieval, eligibility screening, data cleaning, bibliometric mapping, and statistical as well as network analysis. Data were collected using the keywords “educational technology” AND “elementary school” and analyzed using VOS viewer (version 1.6.20) and the Bibliometrics R package (version 5.0), with term harmonization applied to ensure analytical consistency. The findings reveal a steady increase in publications, with an annual growth rate of 6.08% and a high coefficient of determination (R² = 0.849), indicating that the field is in a growth phase approaching maturity. A total of 6,125 authors contributed, with an average of 3.74 co-authors per document and an international collaboration rate of 13.55%. Recent keywords highlight digital and AI technologies, while long-standing themes emphasize learning enhancement.

Author Biographies

Muhammad Ragil Kurniawan, Universitas Ahmad Dahlan

is affiliated with the Department of Primary School Teacher Education (PGSD), Universitas Ahmad Dahlan, Yogyakarta, Indonesia. He earned his bachelor’s degree in educational technology from Universitas Negeri Malang and his master’s degree in Learning Technology from Universitas Negeri Yogyakarta. His research focuses on educational technology, digital learning innovation, and instructional media development in primary education (email: ragil.kurniawan@pgsd.uad.ac.id).

Dedi Kuswandi, Universitas Negeri Malang

is a lecturer at the State University of Malang, Indonesia, specializing in Educational Technology. He earned his undergraduate and master’s degrees from IKIP Bandung and completed his doctoral degree in Curriculum and Educational Technology at the State University of Malang. Since 1990, he has been actively involved in teaching and research, focusing on innovative learning models and technology-enhanced education.  (email: dedi.kuswandi.fip@um.ac.id).

Otto Fajarianto, Universitas Negeri Malang

is a lecturer at Universitas Negeri Malang, Indonesia, specializing in computer science and educational technology. His research interests include augmented reality, e-learning, education, and computer science, with a particular focus on technology-enhanced learning and digital innovation. (email: otto.fajarianto.fip@um.ac.id).

Yeyen Febrilia, Universitas Muhammadiyah Bangka Belitung

is a lecturer at Universitas Muhammadiyah Bangka Belitung, Indonesia, specializing in primary education and educational innovation. She earned her bachelor’s degree in Primary School Teacher Education from Universitas Ahmad Dahlan and her master’s degree in Elementary Education from Universitas Negeri Yogyakarta, where she is currently pursuing her doctoral degree. Her research focuses on mathematics education, Realistic Mathematics Education, digital literacy, and innovative pedagogical approaches in elementary education. (email: yeyen.febrilia@unmuhbabel.ac.id).

References

M. R. Kurniawan and N. H. Rofiah, “Pola Penggunaan Internet di Lingkungan Sekolah Dasar Se-Kota Yogyakarta,” Southeast Asian Journal of Islamic Education, vol. 2, no. 2, pp. 93–105, May 2020, doi: 10.21093/sajie.v2i2.1930. DOI: https://doi.org/10.21093/sajie.v2i2.1930

L. A. Kohler, E. F. Borokhovski, R. M. Tamim, D. I. Pickup, and R. M. Bernard, “The Contribution of Student-Centered Pedagogy to the Effective Use of Educational Technology: A Meta-Analysis,” Current Perspectives in Educational Research, vol. 7, no. 1, pp. 68–85, Aug. 2024, doi: 10.46303/cuper.2024.5. DOI: https://doi.org/10.46303/cuper.2024.5

S. Tripathi and R. Gupta, “A Role of Technology Integration in Improving Pedagogical Skills of Prospective Teachers to Meet the Challenges of 21st Century,” Stallion Journal for Multidisciplinary Associated Research Studies, pp. 6–11, Jul. 2025, doi: 10.55544/sjmars.icmri.2. DOI: https://doi.org/10.55544/sjmars.icmri.2

I. Iduard, H. Hasdin, and I. Idrus, “Analisis Dampak Model Pembelajaran Kontekstual terhadap Literasi Lingkungan Siswa Sekolah Dasar,” Pedagogik Journal of Islamic Elementary School, pp. 543–554, Aug. 2025, doi: 10.24256/pijies.v8i2.7567. DOI: https://doi.org/10.24256/pijies.v8i2.7567

V. N. Putri, I. F. Khoirunisa, T. Destrininda, A. T. Pamungkas, and T. Muhtarom, “Jenis, Karakteristik, Pengaruh Dan Tantangan Penggunaan Sumber Belajar Variatif Pada Pembelajaran Tematik SD,” Jurnal IKA PGSD (Ikatan Alumni PGSD) UNARS, vol. 16, no. 1, p. 177, Oct. 2025, doi: 10.36841/pgsdunars.v16i1.7258. DOI: https://doi.org/10.36841/pgsdunars.v16i1.7258

M. Fitrianawati and A. R. Ainul Yaqin, “Culturally-Based Renewable Energy Media to Enhance Critical Thinking in Elementary Science Learning,” Journal of Educational Technology Innovation and Applications, vol. 1, no. 03, pp. 87–96, Sep. 2025, doi: 10.56741/jetia.v1i03.1112. DOI: https://doi.org/10.56741/jetia.v1i03.1112

N. Tabassum, Talha, and O. Saeed, “Enjoyment or Mastery? A Critical Evidence-Based Analysis of Dominant Outcomes in Gamified Learning,” Journal of Educational Technology Innovation and Applications, vol. 1, no. 03, pp. 137–146, Dec. 2025, doi: 10.56741/jetia.v1i03.1697. DOI: https://doi.org/10.56741/jetia.v1i03.1697

N. P. L. R. Putri, M. S. Yuliariatiningsih, and D. T. Kurniawan, “Analisis Bibliometrik Trend Penelitian Pembelajaran Berbasis Teknologi Digital di Sekolah Dasar,” Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan, vol. 2, no. 12, pp. 1127–1133, Dec. 2022, doi: 10.17977/um065v2i122022p1127-1133. DOI: https://doi.org/10.17977/um065v2i122022p1127-1133

A. S. Cakraningtyas, I. Alinta, and B. Susilo, “Analisis Tantangan Integrasi Kecerdasan Buatan dalam Pembelajaran Sekolah Dasar,” Lentera Pengabdian, vol. 3, no. 01, pp. 101–106, Mar. 2025, doi: 10.59422/lp.v3i01.661. DOI: https://doi.org/10.59422/lp.v3i01.661

A. V. Kulkarni, “Comparisons of Citations in Web of Science, Scopus, and Google Scholar for Articles Published in General Medical Journals,” JAMA, vol. 302, no. 10, p. 1092, Sep. 2009, doi: 10.1001/jama.2009.1307. DOI: https://doi.org/10.1001/jama.2009.1307

A. Martín-Martín, M. Thelwall, E. Orduna-Malea, and E. Delgado López-Cózar, “Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations,” Scientometrics, vol. 126, no. 1, pp. 871–906, Jan. 2021, doi: 10.1007/s11192-020-03690-4. DOI: https://doi.org/10.1007/s11192-020-03690-4

H. Lin, X. Deng, and D. Song, “Research trends of global artificial intelligence application in obstetrics and gynecology from 1999 to 2025: a bibliometric analysis based on web of science,” J. Robot. Surg., vol. 19, no. 1, p. 606, Sep. 2025, doi: 10.1007/s11701-025-02756-w. DOI: https://doi.org/10.1007/s11701-025-02756-w

X. Chen, D. Zou, H. Xie, and F. L. Wang, “Technology-enhanced higher education: Text mining and bibliometrics,” Heliyon, vol. 10, no. 4, p. e25776, Feb. 2024, doi: 10.1016/j.heliyon.2024.e25776. DOI: https://doi.org/10.1016/j.heliyon.2024.e25776

S. L. Boateng, O. K. A. Penu, R. Boateng, J. Budu, J. S. Marfo, and P. Asamoah, “Educational technologies and elementary level education – A bibliometric review of Scopus-indexed journal articles,” Heliyon, vol. 10, no. 7, p. e28101, Apr. 2024, doi: 10.1016/j.heliyon.2024.e28101. DOI: https://doi.org/10.1016/j.heliyon.2024.e28101

I. Passas, “Bibliometric Analysis: The Main Steps,” Encyclopedia, vol. 4, no. 2, pp. 1014–1025, Jun. 2024, doi: 10.3390/encyclopedia4020065. DOI: https://doi.org/10.3390/encyclopedia4020065

I. Kertati, D. E. Agustinova, S. Sukini, W. Firdaus, A. Naldi, and R. Rahim, “A bibliometric analysis of Indonesian stem education research (2019–2023): Trends, contributors, and future directions,” Journal of Infrastructure Policy and Development, vol. 8, no. 15, p. 9508, Dec. 2024, doi: 10.24294/jipd9508. DOI: https://doi.org/10.24294/jipd9508

R. Lezama-Nicolás, M. Rodríguez-Salvador, R. Río-Belver, and I. Bildosola, “A bibliometric method for assessing technological maturity: the case of additive manufacturing,” Scientometrics, vol. 117, no. 3, pp. 1425–1452, Dec. 2018, doi: 10.1007/s11192-018-2941-1. DOI: https://doi.org/10.1007/s11192-018-2941-1

S. Wang, L. Zhang, Z. Jin, Y. Wang, B. Zhang, and L. Zhao, “Visualizing temporal dynamics and research trends of macrophage-related diabetes studies between 2000 and 2022: a bibliometric analysis,” Front. Immunol., vol. 14, Jul. 2023, doi: 10.3389/fimmu.2023.1194738. DOI: https://doi.org/10.3389/fimmu.2023.1194738

M. Shutaywi and N. N. Kachouie, “Silhouette Analysis for Performance Evaluation in Machine Learning with Applications to Clustering,” Entropy, vol. 23, no. 6, p. 759, Jun. 2021, doi: 10.3390/e23060759. DOI: https://doi.org/10.3390/e23060759

A. M. Ikotun and A. E. Ezugwu, “Boosting k-means clustering with symbiotic organisms search for automatic clustering problems,” PLoS One, vol. 17, no. 8, p. e0272861, Aug. 2022, doi: 10.1371/journal.pone.0272861. DOI: https://doi.org/10.1371/journal.pone.0272861

D. P. Reski, S. A. Kamaruddin, and A. Sinring, “Philosophy of Education in the Digital Age: The Balance between Technology and Humanism,” DIDAKTIKA : Jurnal Pemikiran Pendidikan, vol. 30, no. 2, p. 290, Sep. 2024, doi: 10.30587/didaktika.v30i2.9065. DOI: https://doi.org/10.30587/didaktika.v30i2.9065

A. Haleem, M. Javaid, M. A. Qadri, and R. Suman, “Understanding the role of digital technologies in education: A review,” Sustainable Operations and Computers, vol. 3, pp. 275–285, 2022, doi: 10.1016/j.susoc.2022.05.004. DOI: https://doi.org/10.1016/j.susoc.2022.05.004

A. Alfarwan, “Generative AI use in K-12 education: a systematic review,” Front. Educ. (Lausanne)., vol. 10, Sep. 2025, doi: 10.3389/feduc.2025.1647573. DOI: https://doi.org/10.3389/feduc.2025.1647573

L. Judijanto, “A Bibliometric Analysis of Adaptive Learning in K-12 Education,” The Eastasouth Journal of Learning and Education, vol. 3, no. 01, pp. 75–86, Mar. 2025, doi: 10.58812/esle.v3i01.496. DOI: https://doi.org/10.58812/esle.v3i01.496

M. Bond, S. Bedenlier, V. I. Marín, and M. Händel, “Emergency remote teaching in higher education: mapping the first global online semester,” Dec. 01, 2021, Springer Science and Business Media Deutschland GmbH. doi: 10.1186/s41239-021-00282-x. DOI: https://doi.org/10.31219/osf.io/gsdu7

O. Zawacki-Richter, V. I. Marín, M. Bond, and F. Gouverneur, “Systematic review of research on artificial intelligence applications in higher education – where are the educators?,” Dec. 01, 2019, Springer Netherlands. doi: 10.1186/s41239-019-0171-0. DOI: https://doi.org/10.1186/s41239-019-0171-0

W. Holmes and I. Tuomi, “State of the art and practice in AI in education,” Eur. J. Educ., vol. 57, no. 4, pp. 542–570, Dec. 2022, doi: 10.1111/ejed.12533. DOI: https://doi.org/10.1111/ejed.12533

R. Luckin and W. Holmes, “Intelligence Unleashed: An argument for AI in Education,” 2016. [Online]. Available: https://www.researchgate.net/publication/299561597

C. Guan, J. Mou, and Z. Jiang, “Artificial intelligence innovation in education: A twenty-year data-driven historical analysis,” International Journal of Innovation Studies, vol. 4, no. 4, pp. 134–147, Dec. 2020, doi: 10.1016/j.ijis.2020.09.001. DOI: https://doi.org/10.1016/j.ijis.2020.09.001

X. Chen, H. Xie, D. Zou, and G.-J. Hwang, “Application and theory gaps during the rise of Artificial Intelligence in Education,” Computers and Education: Artificial Intelligence, vol. 1, p. 100002, 2020, doi: 10.1016/j.caeai.2020.100002. DOI: https://doi.org/10.1016/j.caeai.2020.100002

L. A. Schindler, G. J. Burkholder, O. A. Morad, and C. Marsh, “Computer-based technology and student engagement: a critical review of the literature,” Dec. 01, 2017, Springer Netherlands. doi: 10.1186/s41239-017-0063-0. DOI: https://doi.org/10.1186/s41239-017-0063-0

W. Qi et al., “Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis,” J. Med. Internet Res., vol. 26, p. e57830, Aug. 2024, doi: 10.2196/57830. DOI: https://doi.org/10.2196/57830

J. Tondeur, R. Scherer, F. Siddiq, and E. Baran, “Enhancing pre-service teachers’ technological pedagogical content knowledge (TPACK): a mixed-method study,” Educational Technology Research and Development, vol. 68, no. 1, pp. 319–343, Feb. 2020, doi: 10.1007/s11423-019-09692-1. DOI: https://doi.org/10.1007/s11423-019-09692-1

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Published

2026-04-11

How to Cite

Kurniawan, M. R., Kuswandi, D., Fajarianto, O., & Febrilia, Y. (2026). The Evolution of Educational Technology Implementation in Elementary School: A Bibliometric Analysis of Scopus Publications from 2010 to 2025. Journal of Educational Technology Innovation and Applications, 2(01), 58–72. https://doi.org/10.56741/IISTR.jetia.002200

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Vol. 2 No. 01 (2026): Journal of Educational Technology Innovation and Applications

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Copyright (c) 2026 Muhammad Ragil Kurniawan, Dedi Kuswandi, Otto Fajarianto, Yeyen Febrilia

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