A Bibliometric Study on the Use of AI in History Education: A Global Research Overview

Ellya Maisarah Shafiee, Shakila Che Dahalan

Abstract


Artificial Intelligence (AI) has become one of the most rapidly expanding research areas in education, offering transformative opportunities for teaching, learning, and educational management. Despite this growing interest, a comprehensive understanding of global research trends and intellectual developments in AI-related educational studies remains limited. This study aims to map the global research landscape of AI in education through a bibliometric analysis of publications indexed in the Scopus database. A total of 1,632 journal articles published between 2020 and 2024 were retrieved using the search query TITLE (“Artificial” AND “Intelligence” AND “Education”). The bibliographic data were exported and analyzed using Microsoft Excel for descriptive statistics and VOSviewer for bibliometric network visualization, including publication trends, citation performance, institutional productivity, and international collaboration. The findings reveal a substantial increase in scholarly output over the five-year period, with publication volume reaching its highest level in 2024 (559 articles). Citation analysis indicates that publications released in 2023 achieved the greatest academic impact, while leading institutions were predominantly located in Hong Kong, the United Kingdom, and the United States. Network visualization further demonstrates that China, the United States, India, and the United Kingdom constitute the principal hubs of global scientific collaboration in AI and education research. These findings highlight the accelerating growth and internationalization of AI research in education while revealing unequal global research participation. This study provides a comprehensive overview of the evolution of AI scholarship in education and identifies future research opportunities, particularly for expanding AI applications in underexplored domains such as history education.

Keywords: Artificial Intelligence; Bibliometric Analysis; Education; History Education; Scopus


Keywords


Artificial Intelligence; Bibliometric Analysis; Education; History Education; Scopus

Full Text:

PDF

References


Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386.

Chatterjee, S., & Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, 25(5), 3443–3463.

Che Dahalan, S., Abdul, N., Darmawan, W., Herwin, & Tambusay, M. D. E. (2026). Design and implementation of a 21st-century learning module for ethical citizenship in Malaysian primary history education. Veredas do Direito: Direito Ambiental e Desenvolvimento Sustentável, 23(3), e234323.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20, 22.

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.

Elbanna, S., & Armstrong, L. (2024). Exploring the integration of ChatGPT in education: Adapting for the future. Management & Sustainability: An Arab Review, 3(1), 16–29.

Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001

Johnson, P. (2021). Impact of technology on education: The role of AI in modern classrooms. Journal of Educational Technology, 12(3), 45–67.

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeiffer, F., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.

Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1), e290103.

Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE Access, 10, 81323–81342.

Nguyen, T. (2020). The integration of AI in teaching: Challenges and opportunities. Journal of Education and Technology, 15(4), 78–92.

Organisation for Economic Co-operation and Development. (2024). OECD digital education outlook 2024: Shaping digital transformation for education. OECD Publishing.

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020.

Schlögl, C., Borić, S., & Reichmann, G. (2024). Publication and citation patterns of Austrian researchers in operations research and other sub-disciplines of business administration as indexed in Web of Science and Scopus. Central European Journal of Operations Research, 32(1), 711–736.

Smith, A., & Brown, L. (2019). Understanding the role of experience in technology adoption among teachers. Journal of Educational Research, 27(1), 34–45.

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15.

UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.

Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224.

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, 39.




DOI: https://doi.org/10.17509/historia.v9i1.100718

Refbacks

  • There are currently no refbacks.


Copyright (c) 2026 Historia: Jurnal Pendidik dan Peneliti Sejarah 


INDEXED

  

 

TOOLS

     

 

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Alamat Redaksi: Gedung Numan Soemantri, FPIPS UPI, Departemen Pendidikan Sejarah, Lantai 2, Jl. Dr. Setiabudhi No 229 Bandung, 40154

 

View "Jurnal Historia" Stats