Personalized learning through artificial intelligence: Revolutionizing education

Emmanuel Dumbuya

doi:10.30574/ijsra.2024.13.2.2487

ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Personalized learning through artificial intelligence: Revolutionizing education

Emmanuel Dumbuya ^*

Njala University, Njala Campus, Sierra Leone, West Africa.

Review Article

International Journal of Science and Research Archive, 2024, 13(02), 2818-2820.
Article DOI: 10.30574/ijsra.2024.13.2.2487
DOI url: https://doi.org/10.30574/ijsra.2024.13.2.2487

Publication history

Received on 06 November 2024; revised on 14 December 2024; accepted on 16 December 2024

Abstract

Personalized learning, powered by Artificial Intelligence (AI), is reshaping education by addressing diverse student needs, bridging learning gaps, and enhancing academic outcomes. This paper explores how AI technologies, such as adaptive learning platforms, predictive analytics, and intelligent tutoring systems, contribute to more equitable and efficient education. Emphasizing the potential of inclusive access to AI tools, it highlights the role of technology in democratizing education globally. The research concludes with recommendations for integrating AI into educational practices to ensure broad, equitable impacts.

Keywords

Personalized Learning; Artificial Intelligence; Adaptive Learning Platforms; Predictive Analytics; Intelligent Tutoring Systems; Educational Equity

Download Article PDF

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-2487.pdf

Preview Article PDF

How to cite this article

Emmanuel Dumbuya. Personalized learning through artificial intelligence: Revolutionizing education. International Journal of Science and Research Archive, 2024, 13(02), 2818-2820. https://doi.org/10.30574/ijsra.2024.13.2.2487

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.