A Systematic Literature Review with Bibliometric Meta-Analysis of AI Technology Adoption in Education

  • Maran Chanthiran Department of Computing, Faculty of Art, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, MALAYSIA
  • Abu Bakar Ibrahim Department of Computing, Faculty of Art, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, MALAYSIA
  • Mohd Hishamuddin Abdul Rahman Department of Computing, Faculty of Art, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, MALAYSIA
  • S Kumar Department of Economics, Manonmaniam Sundaranar University, Tirunelveli, State of Tamilnadu, INDIA
  • Rahul Vishwanath Dandage MIT World Peace University, Pune Maharashtra, INDIA
Keywords: Artificial Intelligence, Bibliometric, Meta-Analysis, Systematic Literature Review, Technology adoption


Education has undergone various developments and changes according to the current world circulation and the development of technology and science. Moreover, Covid-19 has emphasized the significance of technology in education. The use of technology in education increases collaboration among students and helps in academic achievement. The use of Artificial Intelligent (AI) has become a trend in 21st-century education in providing learning aids that are technological and digital. The purpose of this systematic survey is to identify peer-reviewed literature on the adoption of Artificial Intelligent (AI) in education among educators. Scopus, Web of Science, and IEEE citation databases are used in the data-gathering phase. PRISMA approach and keyword search were extracted and analyzed. This bibliographic data of articles published in the journals over the seven years were extracted. VOS viewer was used to analyzing the data contained in all journals. The findings show that studies are showing the use and acceptance of Ai technology in education. It also shows that using this technology has a positive effect on mastering a subject among students. However, there is still room to optimize its usability in education, which is currently in the 4.0 education shift in line with the development of the Industrial Revolution (IR) 4.0.


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Albahri, O. S., Zaidan, A. A., Albahri, A. S., Zaidan, B. B., Abdulkareem, K. H., Al-qaysi, Z. T., Alamoodi, A. H., Aleesa, A. M., Chyad, M. A., Alesa, R. M., Kem, L. C., Lakulu, M. M., Ibrahim, A. B., & Rashid, N. A. (2020). Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects. Journal of Infection and Public Health, 13(10), 1381–1396.

Goksel, N., & Bozkurt, A. (2019). Artificial intelligence in education:Current Insights and Future Perspectives. Handbook of Research on Learning in the Age of Transhumanism, 262(5568), 224–236.

Jailani, N., Ning, C. T. S., Latih, R., Ismail, A., Muda, Z., Bakar, M. A., Rambely, A. S., Yusof, M., & Yatim, N. M. (2020). Reka bentuk aplikasi multimedia berasaskan kinect untuk pembelajaran peribahasa melayu. AJTLHE, 12(2), 152–176.

Sierra-Correa, P. C., & Cantera Kintz, J. R. (2015). Ecosystem-based adaptation for improving coastal planning for sea-level rise: A systematic review for mangrove coasts. Marine Policy, 51, 385–393. https://doi.org/https://doi.org/10.1016/j.marpol.2014.09.013.

Suparno, P. (2019). Menyikapi Penggunaan Artificial Intelligence ( AI, Kecerdasan Buatan) Dalam Pendidikan Fisika. Seminar Pendidikan Nasional, 1–12.

Teräs, M., Suoranta, J., Teräs, H., & Curcher, M. (2020). Post-Covid-19 Education and Education Technology ‘Solutionism’: a Seller’s Market. Postdigital Science and Education, 2(3), 863–878.

Valverde-Berrocoso, J., del Carmen Garrido-Arroyo, M., Burgos-Videla, C., & Morales-Cevallos, M. B. (2020). Trends in educational research about e-Learning: A systematic literature review (2009-2018). Sustainability (Switzerland), 12(12).

Chabibie. (2020). Covid-19 Corona virus Response. East Asia Pacific: Tertiary Education, 21(1), 1–9.

Cahapay, M. B. (2020). Rethinking Education in the New Normal Post-COVID-19 Era: A Curriculum Studies Perspective. Aquademia, 4(2).

Tanveer, M., Hassan, S., & Bhaumik, A. (2020). Academic policy regarding sustainability and artificial intelligence (Ai). Sustainability (Switzerland), 12(22), 1–13.

UNESCO. (2020). Education in a post-COVID world : Nine ideas for public action International Commission on the Futures of Education. 26.

Raja, R., & Nagasubramani, P. C. (2018). Impact of modern technology in education. Journal of Applied and Advanced Research, 3(S1), 33.

UNESCO. (2019). Artificial intelligence in education: challenges and opportunities for sustainable development. Working Papers on Education Policy, 7, 46.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1).

Ocaña-Fernández, Y., Alex Valenzuela-Fernández, L., & Lourdes Garro-Aburto, L. (2019). Inteligencia artificial y sus implicaciones en la educación superior Artificial Intelligence and its Implications in Higher Education. Propósitos y Representaciones, 7(2), 536–568.

Kushairi, N., Ahmi, A. (2021) Flipped classroom in the second decade of the Millenia: A bibliometrics analysis with Lotka’s law. Education and Information Technologies. https://doi.org/10.1007/s10639-021-10457-8

Wahid, R., Ahmi, A., & Alam, A. F. (2020). Growth and Collaboration in Massive Open Online Courses: A Bibliometric Analysis. The International Review of Research in Open and Distributed Learning, 21(4), 292-322. https://doi.org/10.19173/irrodl.v21i4.4693

Ahmi, A., & Mohamad, R. (2019). Bibliometric analysis of global scientific literature on web accessibility. International Journal of Recent Technology and Engineering, 7(6), 250–258.

Ahmi, A., & Mohd Nasir, M. H. (2019). Examining the trend of the research on extensible business reporting language (XBRL): A bibliometric review. International Journal of Innovation, Creativity and Change, 5(2), 1145–1167.

Zakaria, R., Ahmi, A., Ahmad, A. H., & Othman, Z. (2020) Worldwide melatonin research: A bibliometric analysis of the published literature between 2015 and 2019, Chronobiology International. https://doi.org/10.1080/07420528.2020.1838534.

Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(7): e1000097. doi:10.1371/journal.pmed1000097).

How to Cite
Chanthiran, M., Ibrahim, A. B., Abdul Rahman, M. H., Kumar, S., & Dandage, R. V. (2022). A Systematic Literature Review with Bibliometric Meta-Analysis of AI Technology Adoption in Education. EDUCATUM Journal of Science, Mathematics and Technology, 9, 61-71. https://doi.org/10.37134/ejsmt.vol9.sp.7.2022