The dual role of AI in personalized learning: Enhancements and hindrances for diverse learners

Waleed Abdullatif Khader Salameh *

College of General Education - Hamdan Bin Mohammed Smart University – Dubai- UAE.
 
Research Article
International Journal of Science and Research Archive, 2024, 13(02), 062–067.
Article DOI: 10.30574/ijsra.2024.13.2.2057
Publication history: 
Received 18 September 2024; revised on 31 October 2024; accepted on 02 November 2024
 
Abstract: 
This study examines the dual role of Artificial Intelligence (AI) in personalized learning, exploring how AI can both advance and hinder individualized educational experiences for diverse learners. AI technologies—such as adaptive learning platforms, intelligent tutoring systems, and data analytics tools—offer tailored pathways that can increase engagement, accommodate learning differences, and improve academic outcomes. However, challenges also emerge, including algorithmic bias, over-reliance on technology, and potential compromises in data privacy and human interaction. Findings indicate that while AI can enhance personalized learning, it requires careful integration to avoid exacerbating disparities and to support critical thinking and social skills. The role of educators remains essential, with recommendations for professional development to equip teachers with the skills to leverage AI effectively and ethically. This study highlights the importance of a balanced approach in AI integration, combining technological tools with human-centered teaching practices to create inclusive, equitable, and effective learning environments.
 
Keywords: 
Artificial Intelligence; Personalized learning; Diverse learners; Education technology; Adaptive learning
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0