Frontiers in Educational Innovation and Research
ISSN: 3068-5664 (Online)
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TY - JOUR AU - Naayini, Prudhvi PY - 2025 DA - 2025/06/29 TI - AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems JO - Frontiers in Educational Innovation and Research T2 - Frontiers in Educational Innovation and Research JF - Frontiers in Educational Innovation and Research VL - 1 IS - 1 SP - 29 EP - 39 DO - 10.62762/FEIR.2025.332098 UR - https://www.icck.org/article/abs/FEIR.2025.332098 KW - AI in Education KW - personalized learning KW - intelligent tutoring systems KW - adaptive learning KW - learning analytics KW - AI ethics in education KW - data privacy in AI KW - algorithmic bias in education KW - AI for special needs KW - future of education technology AB - 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. SN - 3068-5664 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Naayini2025AI,
author = {Prudhvi Naayini},
title = {AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems},
journal = {Frontiers in Educational Innovation and Research},
year = {2025},
volume = {1},
number = {1},
pages = {29-39},
doi = {10.62762/FEIR.2025.332098},
url = {https://www.icck.org/article/abs/FEIR.2025.332098},
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.},
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},
issn = {3068-5664},
publisher = {Institute of Central Computation and Knowledge}
}
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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