Artificial intelligence in education: A systematic mapping study using Scopus and Web of Science


  • Maran Chanthiran Universiti Pendidikan Sultan Idris
  • Abu Bakar Ibrahim Universiti Pendidikan Sultan Idris
  • Mohd Hishamuddin Abdul Rahman Universiti Pendidikan Sultan Idris
  • Punithavili Mariappan Universiti Pendidikan Sultan Idris



Artificial Intelligence (AI), Education, Bibliometric analysis, PRISMA, Natural Language Processing


Education in the 21st century is beginning to adopt the use of artificial intelligence, which is a type of technology. Through a search of the Scopus and the Web of Science databases, the primary objective of this methodical investigation is to locate publications that have been subjected to the rigors of peer review and are associated with the field of artificial intelligence in education. Additionally, analyze current trends and challenges in applying artificial intelligence in education. A bibliometric survey of the application of artificial intelligence in educational settings is also analyzed in further detail here. For the purpose of gaining access to the relevant literature, the Scopus and Web of Science databases were utilized. Utilizing the more advanced keyword search capabilities of the VOS viewer software along with the PRISMA methodology. The sample for the study consisted of a total of 298 articles and studies were analyzed between the years 2014 and 2020. According to the results of a bibliometric study, there are ten researchers who stand out as the primary scholars contributing to the field of artificial intelligence technology in education. An examination of the relevant literature reveals that there is a requirement for the development of software and applications of artificial intelligence in education, specifically those that are able to generate graphics from the text that has been loaded. Education has the potential to be a significant driver of advancement in natural language processing within artificial intelligence.


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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.

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

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

Harun. F., Nazir, M. N. M., & Hussin, S. (2019). Kelestarian kesantunan berbahasa dalam pendidikan 4.0. Seminar Darulaman 2019. Insititusi Pendidikan Guru Kampus Darulaman. ISBN 978-967-17355-3-4. 22-23 Oktober 2019. 242-249.

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.

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.

Predavoric, N. M., Lesin, G., & Boras, D. (2017). The role and attitudes of kindergarten educators in ICT supported early childhood education. Technology, Education and Management Journal, 6(1), 162-172.

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

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.

Suparno, P. (2019). Menyikapi penggunaan artificial intelligence (AI, Kecerdasan Buatan) dalam pendidikan fisika. Seminar Pendidikan Nasional, 1–12.

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

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.

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

UNESCO. (2020). Education in a post-COVID world : Nine ideas for public action International Commission on the Futures of Education. United Nations Educational, Scienti¬c and Cultural Organization, 7.

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).

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).




How to Cite

Chanthiran, M., Ibrahim, A. B., Abdul Rahman, M. H., & Mariappan, P. (2022). Artificial intelligence in education: A systematic mapping study using Scopus and Web of Science. Journal of ICT in Education, 9(2), 61–70.