Research Article
BibTex RIS Cite

Past, Present, and Future of Artificial Intelligence in Education: A Bibliometric Study

Year 2024, Volume: 14 Issue: Special Issue-AI in Education, 159 - 178, 30.08.2024
https://doi.org/10.19126/suje.1447044

Abstract

With the rapid advancement in technology, artificial intelligence has permeated every aspect of daily life. Education is no exception. Artificial intelligence in education (AIEd) has attracted great interest in the academic field. This bibliometric study aims to analyze and document the literature on AIEd from its emergence to 2023. AIEd-related publications were analysed for patterns, trends, and potential research gaps in the field. The search parameters were 'Artificial Intelligence in Education' in the article title, abstract, or topic. In order to examine the evolution of the concept holistically, no date restrictions were applied. The search, therefore, covered studies published from 1989 to 2023, with the first publication indexed in the Web of Science database marking the beginning of the timeline. The Web of Science was used as the main database and 905 studies were screened during the search. The Biblioshiny of R Software was used for descriptive and network analysis. The annual growth rate was calculated as 18.7%, indicating significant interest in the field. The results also showed that China, the USA, the UK, Australia, and Spain are the leading countries in the field of AIEd. Through thematic analysis, trending topics and engine, core, emerging, and niche themes were uncovered. Based on the research findings, the current study takes a forward-looking stance and goes beyond merely summarizing the past and present to provide insights on future linkages.

References

  • Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 1-8. IEEE. https://doi.org/10.1109/ICCICA52458.2021.9697272
  • Arslan, K. (2020). Artificial intelligence and applications in education. Western Anatolia Journal of Educational Sciences, 11(1), 71-80.
  • Bearman, M., Ryan, J., & Ajjawi, R. (2023). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86(2), 369-385. https://doi.org/10.1007/s10734-022-00937-2
  • Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: a narrative overview. Procedia Computer Science, 136, 16-24. https://doi.org/10.1016/j.procs.2018.08.233
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510.
  • Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47. https://www.jstor.org/stable/10.2307/48647028
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146-166. https://doi.org/10.1016/j.joi.2010.10.002
  • Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245. https://doi.org/10.1080/00131857.2020.1728732
  • Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1-22. https://doi.org/10.1186/s41239-023-00392-8
  • Cui, W., Xue, Z., & Thai, K. P. (2018). Performance comparison of an AI-based Adaptive Learning System in China. 2018 Chinese Automation Congress (CAC), 3170-3175. IEEE. https://doi.org/10.1109/ICCICA52458.2021.9697272
  • García-Martínez, I., Fernández-Batanero, J., Fernández-Cerero, J., & León, S. (2023). Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis. Journal of New Approaches in Educational Research. https://doi.org/10.7821/naer.2023.1.1240.
  • Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134-147. https://doi.org/10.1016/j.ijis.2020.09.001
  • Hallinger, P., & Kovačević, J. (2019). A bibliometric review of research on educational administration: Science mapping the literature, 1960 to 2018. Review of Educational Research, 89(3), 335-369. https://www.jstor.org/stable/45277277
  • Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051
  • Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S., Santos, O., Rodrigo, M., Cukurova, M., Bittencourt, I., & Koedinger, K. (2021). Ethics of AI in Education: Towards a Community-Wide Framework. International Journal of Artificial Intelligence in Education, 32, 504 - 526. https://doi.org/10.1007/s40593-021-00239-1.
  • Huang, C., Yang, C., Wang, S., Wu, W., Su, J., & Liang, C. (2019). Evolution of topics in education research: A systematic review using bibliometric analysis. Educational Review, 72(3), 281-297. https://doi.org/10.1080/00131911.2019.1566212
  • İçen, M. (2022). The future of education utilizing artificial intelligence in Turkey. Humanities and Social Sciences Communications, 9(1), 1-10. https://doi.org/10.1057/s41599-022-01284-4
  • İşler, B., & Kılıç, M. (2021). The use and development of artificial intelligence in education. e-Journal of New Media, 5(1), 1-11. https://doi.org/10.17932/IAU.EJNM.25480200.2021/ejnm_v5i1001
  • Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298-311. https://doi.org/10.1080/17439884.2020.1754236
  • Lee, H., & Lee, J. (2021). Applying Artificial Intelligence in Physical Education and Future Perspectives. Sustainability. https://doi.org/10.3390/su13010351.
  • Liu, Y., Chen, L., & Yao, Z. (2022). The application of artificial intelligence assistant to deep learning in teachers' teaching and students' learning processes. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.929175.
  • Lotka, A. J. (1926). The Frequency Distribution of Scientific Productivity. Journal of the Washington Academy of Sciences, 16, 317-323. https://www.jstor.org/stable/24529203
  • Maphosa, V., & Maphosa, M. (2023). Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach. Applied Artificial Intelligence, 37(1). https://doi.org/10.1080/08839514.2023.2261730
  • Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48. https://doi.org/10.1016/j.omega.2016.12.004
  • Metli, A. (2023). Articles on Education and Artificial Intelligence: A Bibliometric Analysis. Journal of Social Sciences And Education, 6 (Education Special Issue), 279-312.
  • Nasir, A., Shaukat, K., Hameed, I. A., Luo, S., Alam, T. M., & Iqbal, F. (2020). A bibliometric analysis of corona pandemic in social sciences: A review of influential aspects and conceptual structure. IEEE Access, 13(8), 133377–133402. https://doi.org/10.1109/ACCESS.2020.3008733
  • Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019, August). Artificial intelligence technologies in education: benefits, challenges and strategies of implementation. IFIP International Workshop on Artificial Intelligence for Knowledge Management, 37-58. Springer International Publishing. https://doi.org/10.1007/978-3-030-85001-2_4
  • Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR). International Journal of Consumer Studies, 45(4), O1-O16. https://doi.org/10.1111/ijcs.12695
  • Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Artificial intelligence in education research during the last ten years: A review and bibliometric study. International Journal of Emerging Technologies in Learning, 17(8). https://doi.org/10.3991/ijet.v17i08.29833
  • Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18. https://doi.org/10.1186/s41239-021-00292-9.
  • Song, P., & Wang, X. (2020). A bibliometric analysis of worldwide educational artificial intelligence research development in recent twenty years. Asia Pacific Education Review, 21, 473-486. https://doi.org/10.1007/s12564-020-09640-2
  • Song, Y., Chen, X., Hao, T., Liu, Z., & Lan, Z. (2019). Exploring two decades of research on classroom dialogue by using bibliometric analysis. Computers & Education, 137, 12-31. https://doi.org/10.1016/j.compedu.2019.04.002
  • Sreenivasan, A., & Suresh, M. (2023). Twenty years of entrepreneurship education: A bibliometric analysis. Entrepreneurship Education, 6(1), 45-68. https://doi.org/10.1007/s41959-023-00089-z
  • Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N., & Gašević, D. (2022). Assessment in the age of artificial intelligence. Computers and Education: Artificial Intelligence, 3, 1–10. https://doi.org/10.1016/j.caeai.2022.100075
  • Talan, T. (2021). Artificial intelligence in education: A bibliometric study. International Journal of Research in Education and Science, 7(3), 822-837. https://doi.org/10.46328/ijres.2409
  • Xu, W., & Ouyang, F. (2022). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 27, 1-29. https://doi.org/10.1007/s10639-021-10774-y
  • Yu, D., & Shi, S. (2015). Researching the development of Atanassov intuitionistic fuzzy set: Using a citation network analysis. Applied Soft Computing, 32, 189–198. https://doi.org/10.1016/j.asoc.2015.03.027
  • 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), 1-27. https://doi.org/10.1186/s41239-019-0171-0
Year 2024, Volume: 14 Issue: Special Issue-AI in Education, 159 - 178, 30.08.2024
https://doi.org/10.19126/suje.1447044

Abstract

References

  • Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 1-8. IEEE. https://doi.org/10.1109/ICCICA52458.2021.9697272
  • Arslan, K. (2020). Artificial intelligence and applications in education. Western Anatolia Journal of Educational Sciences, 11(1), 71-80.
  • Bearman, M., Ryan, J., & Ajjawi, R. (2023). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86(2), 369-385. https://doi.org/10.1007/s10734-022-00937-2
  • Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: a narrative overview. Procedia Computer Science, 136, 16-24. https://doi.org/10.1016/j.procs.2018.08.233
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510.
  • Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47. https://www.jstor.org/stable/10.2307/48647028
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146-166. https://doi.org/10.1016/j.joi.2010.10.002
  • Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245. https://doi.org/10.1080/00131857.2020.1728732
  • Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1-22. https://doi.org/10.1186/s41239-023-00392-8
  • Cui, W., Xue, Z., & Thai, K. P. (2018). Performance comparison of an AI-based Adaptive Learning System in China. 2018 Chinese Automation Congress (CAC), 3170-3175. IEEE. https://doi.org/10.1109/ICCICA52458.2021.9697272
  • García-Martínez, I., Fernández-Batanero, J., Fernández-Cerero, J., & León, S. (2023). Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis. Journal of New Approaches in Educational Research. https://doi.org/10.7821/naer.2023.1.1240.
  • Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134-147. https://doi.org/10.1016/j.ijis.2020.09.001
  • Hallinger, P., & Kovačević, J. (2019). A bibliometric review of research on educational administration: Science mapping the literature, 1960 to 2018. Review of Educational Research, 89(3), 335-369. https://www.jstor.org/stable/45277277
  • Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051
  • Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S., Santos, O., Rodrigo, M., Cukurova, M., Bittencourt, I., & Koedinger, K. (2021). Ethics of AI in Education: Towards a Community-Wide Framework. International Journal of Artificial Intelligence in Education, 32, 504 - 526. https://doi.org/10.1007/s40593-021-00239-1.
  • Huang, C., Yang, C., Wang, S., Wu, W., Su, J., & Liang, C. (2019). Evolution of topics in education research: A systematic review using bibliometric analysis. Educational Review, 72(3), 281-297. https://doi.org/10.1080/00131911.2019.1566212
  • İçen, M. (2022). The future of education utilizing artificial intelligence in Turkey. Humanities and Social Sciences Communications, 9(1), 1-10. https://doi.org/10.1057/s41599-022-01284-4
  • İşler, B., & Kılıç, M. (2021). The use and development of artificial intelligence in education. e-Journal of New Media, 5(1), 1-11. https://doi.org/10.17932/IAU.EJNM.25480200.2021/ejnm_v5i1001
  • Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298-311. https://doi.org/10.1080/17439884.2020.1754236
  • Lee, H., & Lee, J. (2021). Applying Artificial Intelligence in Physical Education and Future Perspectives. Sustainability. https://doi.org/10.3390/su13010351.
  • Liu, Y., Chen, L., & Yao, Z. (2022). The application of artificial intelligence assistant to deep learning in teachers' teaching and students' learning processes. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.929175.
  • Lotka, A. J. (1926). The Frequency Distribution of Scientific Productivity. Journal of the Washington Academy of Sciences, 16, 317-323. https://www.jstor.org/stable/24529203
  • Maphosa, V., & Maphosa, M. (2023). Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach. Applied Artificial Intelligence, 37(1). https://doi.org/10.1080/08839514.2023.2261730
  • Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48. https://doi.org/10.1016/j.omega.2016.12.004
  • Metli, A. (2023). Articles on Education and Artificial Intelligence: A Bibliometric Analysis. Journal of Social Sciences And Education, 6 (Education Special Issue), 279-312.
  • Nasir, A., Shaukat, K., Hameed, I. A., Luo, S., Alam, T. M., & Iqbal, F. (2020). A bibliometric analysis of corona pandemic in social sciences: A review of influential aspects and conceptual structure. IEEE Access, 13(8), 133377–133402. https://doi.org/10.1109/ACCESS.2020.3008733
  • Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019, August). Artificial intelligence technologies in education: benefits, challenges and strategies of implementation. IFIP International Workshop on Artificial Intelligence for Knowledge Management, 37-58. Springer International Publishing. https://doi.org/10.1007/978-3-030-85001-2_4
  • Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR). International Journal of Consumer Studies, 45(4), O1-O16. https://doi.org/10.1111/ijcs.12695
  • Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Artificial intelligence in education research during the last ten years: A review and bibliometric study. International Journal of Emerging Technologies in Learning, 17(8). https://doi.org/10.3991/ijet.v17i08.29833
  • Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18. https://doi.org/10.1186/s41239-021-00292-9.
  • Song, P., & Wang, X. (2020). A bibliometric analysis of worldwide educational artificial intelligence research development in recent twenty years. Asia Pacific Education Review, 21, 473-486. https://doi.org/10.1007/s12564-020-09640-2
  • Song, Y., Chen, X., Hao, T., Liu, Z., & Lan, Z. (2019). Exploring two decades of research on classroom dialogue by using bibliometric analysis. Computers & Education, 137, 12-31. https://doi.org/10.1016/j.compedu.2019.04.002
  • Sreenivasan, A., & Suresh, M. (2023). Twenty years of entrepreneurship education: A bibliometric analysis. Entrepreneurship Education, 6(1), 45-68. https://doi.org/10.1007/s41959-023-00089-z
  • Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N., & Gašević, D. (2022). Assessment in the age of artificial intelligence. Computers and Education: Artificial Intelligence, 3, 1–10. https://doi.org/10.1016/j.caeai.2022.100075
  • Talan, T. (2021). Artificial intelligence in education: A bibliometric study. International Journal of Research in Education and Science, 7(3), 822-837. https://doi.org/10.46328/ijres.2409
  • Xu, W., & Ouyang, F. (2022). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 27, 1-29. https://doi.org/10.1007/s10639-021-10774-y
  • Yu, D., & Shi, S. (2015). Researching the development of Atanassov intuitionistic fuzzy set: Using a citation network analysis. Applied Soft Computing, 32, 189–198. https://doi.org/10.1016/j.asoc.2015.03.027
  • 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), 1-27. https://doi.org/10.1186/s41239-019-0171-0
There are 38 citations in total.

Details

Primary Language English
Subjects Information Systems Education, Educational Technology and Computing
Journal Section Eğitim ve Öğretim Teknolojileri
Authors

Pelin Derinalp 0000-0003-0537-2244

Early Pub Date July 24, 2024
Publication Date August 30, 2024
Submission Date March 4, 2024
Acceptance Date June 6, 2024
Published in Issue Year 2024 Volume: 14 Issue: Special Issue-AI in Education

Cite

APA Derinalp, P. (2024). Past, Present, and Future of Artificial Intelligence in Education: A Bibliometric Study. Sakarya University Journal of Education, 14(Special Issue-AI in Education), 159-178. https://doi.org/10.19126/suje.1447044