The Role of Artificial Intelligence in Addressing Global Education Inequality
Abstract
Keywords
Full Text:
PDFReferences
1. Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Gašević, D. (2022b). Explainable Artificial Intelligence in Education. Computers and Education Artificial Intelligence, 3, 100074. doi: 10.1016/j.caeai.2022.100074
2. Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. doi: 10.1007/s40593-016-0110-3
3. Essa, S. G., Celik, T., & Human-Hendricks, N. E. (2023). Personalised Adaptive Learning Technologies based on machine learning techniques to identify learning Styles: A Systematic Literature review. IEEE Access, 11, 48392–48409. doi: 10.1109/access.2023.3276439
4. UNESCO. (2019). Global Education Monitoring Report 2019: Migration, Displacement and Education – Building Bridges, not Walls. In UNESCO eBooks. doi: 10.54676/xdzd4287
5. Barro, R. J., & Lee, J. W. (2012). A new data set of educational attainment in the world, 1950–2010. Journal of Development Economics, 104, 184–198. doi: 10.1016/j.jdeveco.2012.10.001
6. Leone, T. (2019). Die Illusion der Chancengleichheit im weltweiten Bildungswesen. Giga Focus Global, 1
7. Schmidhuber, J. (2014). Deep learning in neural networks: An overview. Neural Networks, 61, 85–117. doi: 10.1016/j.neunet.2014.09.003
8. UNESCO. (2021). How committed? Unlocking financing for equity in education. Global Education Monitoring Report: Policy Paper 44.
9. Goksel, N., & Bozkurt, A. (2019). Artificial Intelligence in Education: Current Insights and Future Perspectives. In S. Sisman-Ugur, & G. Kurubacak, Handbook of Research on Learning in the Age of Transhumanism (pp. 224-236). Hershey: IGI Global.
10. Holmes, B., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
11. Chen, X., Xie, H., Zou, D., & Hwang, G. (2020). Application and theory gaps during the rise of Artificial Intelligence in Education. Computers and Education Artificial Intelligence, 1, 100002. doi: 10.1016/j.caeai.2020.100002
12. Owoc, M. L., Sawicka, A., & Weichbroth, P. (2021). Artificial intelligence Technologies in Education: Benefits, challenges and Strategies of implementation. In IFIP advances in information and communication technology, 37–58. doi: 10.1007/978-3-030-85001-2_4
13. Mazliham, M. S., Loonis, P., & Idris, A. S. (2008). Trends in intelligent systems and computer engineering. In Lecture notes in electrical engineering. doi: 10.1007/978-0-387-74935-8
14. Rana, A., Reddy, A., Shrivastava, A., Verma, D., Ansari, M. S., & Singh, D. (2022). Secure and Smart Healthcare System using IoT and Deep Learning Models. 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS). doi: 10.1109/ictacs56270.2022.9988676
15. Hwang, G., & Tu, Y. (2021). Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric mapping analysis and Systematic review. Mathematics, 9(6), 584. doi: 10.3390/math9060584
16. Mahendra, A. (2023). Fundamental of AI startups. In Apress eBooks, 1–22. doi: 10.1007/978-1-4842-9502-1_1
17. Ibrahim, H. K., Al-Awkally, N. M., Samad, A., Khera, H. U. R. A., Zaib, W., & Hamza, M. (2022). COVID-19 pandemic and its impact on psychological distress, malignancy and chronic diseases: A scoping review. Eduvest - Journal of Universal Studies, 2(5), 1017–1021. doi: 10.59188/eduvest.v2i5.455
18. Nye, J. S. (2015). Is the American Century Over? Political Science Quarterly, 130(3), 393-400.
19. 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). doi: 10.1186/s41239-019-0171-0
20. Srinivasu, P. N., Ahmed, S., Alhumam, A., Kumar, A. B., & Ijaz, M. F. (2021). An AW-HARIS-based automated segmentation of human liver using CT images. Computers, Materials & Continua/Computers, Materials & Continua (Print), 69(3), 3303–3319. doi: 10.32604/cmc.2021.018472
21. Igbokwe, I. C. (2023). Application of artificial intelligence (AI) in educational management. International Journal of Scientific and Research Publications, 13(3). doi: 10.29322/ijsrp.13.03.2023.p13536
22. Wardat, Y., Jarrah, A. M., & Gningue, S. (2022). Misconception on addition and subtraction of fractions in seventh-grade middle school students. Eurasia Journal of Mathematics Science and Technology Education, 18(6), em2115. doi: 10.29333/ejmste/12070
23. Ingram, T. (2021). Nearly 240 million children with disabilities around the world, UNICEF's most comprehensive statistical analysis finds. Retrieved from https://www.unicef.org/press-releases/nearly-240-million-children-disabilities-around-world-unicefs-most-comprehensive
24. National Centre for Education Statistics. (2024). Students With Disabilities. Retrieved from https://nces.ed.gov/programs/coe/indicator/cgg/students-with-disabilities
25. Ouherrou, N., Elhammoumi, O., Benmarrakchi, F., & Kafi, J. E. (2019). Comparative study on emotions analysis from facial expressions in children with and without learning disabilities in the virtual learning environment. Education and Information Technologies, 24(2), 1777–1792. doi: 10.1007/s10639-018-09852-5
26. Asghar, A., Sladeczek, I. E., Mercier, J., & Beaudoin, E. (2017). Learning in science, technology, engineering, and mathematics: Supporting students with learning disabilities. Canadian Psychology/Psychologie Canadienne, 58(3), 238–249. doi: 10.1037/cap0000111
27. Drigas, A. S., & Ioannidou, R. (2013). A review on artificial intelligence in special education. Communications in Computer and Information Science, 385–391. doi: 10.1007/978-3-642-35879-1_46
28. Rello, L., Romero, E., Rauschenberger, M., Ali, A., Williams, K., Bigham, J. P., & White, N. C. (2018). Screening Dyslexia for English Using HCI Measures and Machine Learning. Proceedings of the 2018 International Conference on Digital Health, 80–84. doi: 10.1145/3194658.3194675
29. Sakelaris, P. G., Novotny, K. V., Borvick, M. S., Lagasca, G. G., & Simanton, E. G. (2025). Evaluating the use of artificial intelligence as a study tool for preclinical medical school exams. Journal of Medical Education and Curricular Development, 12. doi: 10.1177/23821205251320150
30. Rios-Campos, C., Cánova, E. S. M., Zaquinaula, I. R. A., Zaquinaula, H. E. A., Vargas, D. J. C., Peña, W. S., Idrogo, C. E. T., & Arteaga, R. M. Y. (2023). Artificial intelligence and education. South Florida Journal of Development, 4(2), 641–655. doi: 10.46932/sfjdv4n2-001
31. Kumar, P. C., Chetty, M., Clegg, T. L., & Vitak, J. (2019). Privacy and Security Considerations For Digital Technology Use in Elementary Schools. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–13. doi: 10.1145/3290605.3300537
32. Ahmed, Z., Bhinder, K. K., Tariq, A., Tahir, M. J., Mehmood, Q., Tabassum, M. S., Malik, M., Aslam, S., Asghar, M. S., & Yousaf, Z. (2022). Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey. Annals of Medicine and Surgery, 76. doi: 10.1016/j.amsu.2022.103493
33. Anton, N., Doroftei, B., Curteanu, S., Catãlin, L., Ilie, O., Târcoveanu, F., & Bogdănici, C. M. (2022). A comprehensive review on the use of artificial intelligence in ophthalmology and future research directions. Diagnostics, 13(1), 100. doi: 10.3390/diagnostics13010100
34. Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR, 81, 149-159.
35. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness and Machine Learning Limitations and Opportunities. Retrieved from https://fairmlbook.org/
36. Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review. doi: 10.1162/99608f92.8cd550d1
Article Metrics
Metrics powered by PLOS ALM
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Ejuchegahi Anthony Angwaomaodoko

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




