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AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems
Review Article | Published: 29 June 2025
Frontiers in Educational Innovation and Research Volume 1, Issue 1, 2025: 29-39
Volume 1, Issue 1, Frontiers in Educational Innovation and Research
Volume 1, Issue 1, 2025
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Frontiers in Educational Innovation and Research, Volume 1, Issue 1, 2025: 29-39

Open Access | Review Article | 29 June 2025
AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems
by
Prudhvi Naayini Prudhvi Naayini 1 *
1 JPMorgan Chase & Co, New York, United States
* Corresponding Author: Prudhvi Naayini, [email protected]
DOI: 10.62762/FEIR.2025.332098
Received: 13 April 2025, Accepted: 23 May 2025, Published: 29 June 2025  
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Abstract
Artificial Intelligence (AI) is revolutionizing education by enabling personalized learning experiences and intelligent tutoring systems (ITS). This paper examines how AI-driven technologies are transforming modern educational practices through adaptive learning, real-time feedback, and data-driven curriculum design enhanced by learning analytics. By analyzing various AI-powered platforms, this study explores their role in enhancing student engagement, improving accessibility, and optimizing educator efficiency. Furthermore, it addresses the ethical considerations surrounding AI adoption, including data privacy, algorithmic bias, and the necessity for human oversight. While AI presents unprecedented opportunities for personalized education, its successful implementation requires responsible and thoughtful integration to ensure fairness, inclusivity, and long-term effective learning outcomes. This research highlights key benefits, challenges, and future prospects of AI in education, advocating for policies that foster ethical AI deployment to create an equitable and learner-centric educational landscape.
Graphical Abstract
AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems
Keywords
AI in Education
personalized learning
intelligent tutoring systems
adaptive learning
learning analytics
AI ethics in education
data privacy in AI
algorithmic bias in education
AI for special needs
future of education technology
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
Prudhvi Naayini is an employee of JPMorgan Chase & Co, New York, United States.
Ethical Approval and Consent to Participate
Not applicable.
References
  1. 2023 global education outlook. (2023, October 15). HolonIQ. Global Impact Intelligence. Retrieved from https://www.holoniq.com/notes/2023-global-education-outlook
    [Google Scholar]
  2. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
    [Google Scholar]
  3. Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 30-32.
    [Google Scholar]
  4. The transformative power of AI-enhanced high-dose tutoring. (2023). NORC at the University of Chicago | Research You Can Trust. Retrieved from https://www.norc.org/research/library/unlocking-hearts-and-minds-transformative-power-of-ai-enhanced-high-dose-tutoring.html
    [Google Scholar]
  5. Pane, J. F., Griffin, B. A., McCaffrey, D. F., & Karam, R. (2014). Effectiveness of cognitive tutor algebra I at scale. Educational Evaluation and Policy Analysis, 36(2), 127-144.
    [CrossRef]   [Google Scholar]
  6. Selwyn, N. (2019). Should robots replace teachers?: AI and the future of education. John Wiley & Sons.
    [Google Scholar]
  7. Bura, C., & Myakala, P. K. (2024). Advancing transformative education: Generative AI as a catalyst for equity and innovation. arXiv preprint arXiv:2411.15971.
    [Google Scholar]
  8. Bura, C. (2025). Generative AI in Learning: Empowering the Next Generation of Education.
    [CrossRef]   [Google Scholar]
  9. Myakala, P. K. (2024). Beyond Accuracy: A Multi-faceted Evaluation Framework for Real-World AI Agents. Available at SSRN 5089870.
    [CrossRef]   [Google Scholar]
  10. Kamatala, S., Myakala, P. K., & Naayini, P. (2025). Mitigating bias in AI: A framework for ethical and fair machine learning models. SSRN.
    [Google Scholar]
  11. Myakala, P. K., Jonnalagadda, A. K., & Bura, C. (2025). The human factor in explainable AI frameworks for user trust and cognitive alignment. International Advanced Research Journal in Science, Engineering and Technology, 12(1).
    [CrossRef]   [Google Scholar]
  12. Woolf, B. (1991). AI in Education. University of Massachusetts at Amherst, Department of Computer and Information Science.
    [Google Scholar]
  13. Sato, E., Shyyan, V., Chauhan, S., & Christensen, L. (2024). Putting ai in fair: a framework for equity in ai-driven learner models and inclusive assessments. Journal of Measurement and Evaluation in Education and Psychology, 15(Special Issue), 263-281.
    [CrossRef]   [Google Scholar]
  14. Lepri, B., Oliver, N., Letouzé, E., Pentland, A., & Vinck, P. (2018). Fair, transparent, and accountable algorithmic decision-making processes: The premise, the proposed solutions, and the open challenges. Philosophy & Technology, 31(4), 611-627.
    [CrossRef]   [Google Scholar]
  15. 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.
    [CrossRef]   [Google Scholar]
  16. Fazal, I., Bandeali, M. M., Shezad, F., & Gul, H. (2025). Bridging Educational Gaps: The Role of AI and Social Media in Enhancing Access to Quality Education in Under-privileged Communities. The Critical Review of Social Sciences Studies, 3(1), 2413-2431.
    [CrossRef]   [Google Scholar]
  17. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278.
    [CrossRef]   [Google Scholar]
  18. Naayini, P., Kamatala, S., & Myakala, P. K. (2025). Transforming performance engineering with generative AI. Journal of Computer and Communications, 13(3), 30-45.
    [Google Scholar]
  19. Schneider, J. (2024). Explainable generative ai (genxai): A survey, conceptualization, and research agenda. Artificial Intelligence Review, 57(11), 289.
    [CrossRef]   [Google Scholar]
Cite This Article
APA Style
Naayini, P. (2025). AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems. Frontiers in Educational Innovation and Research, 1(1), 29–39. https://doi.org/10.62762/FEIR.2025.332098
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CC BY Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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