Personalized Learning through Artificial Intelligence for Students with Intellectual Disabilities: A Systematic Review

Author(s)	Ms. Mahima Chaudhary, Mr. Dharmendra Kumar, Mr. Raj Kumar Chaudhary, Mrs. Khushbu Kumar
Country	India
Abstract	Personalized learning has emerged as a transformative approach in special education, particularly for students with intellectual disabilities (ID), who require individualized instructional strategies tailored to their cognitive, adaptive, and socio-emotional needs. With rapid advancements in Artificial Intelligence (AI), there is growing interest in leveraging intelligent systems to design adaptive, responsive, and data-driven learning environments. This systematic review analyses literature published between 2015 and 2025 from databases including ERIC, Scopus, Google Scholar, and Web of Science. The review examines the application of AI technologies such as intelligent tutoring systems, machine learning algorithms, natural language processing, and adaptive learning platforms in supporting personalized learning for students with intellectual disabilities.
Keywords	Artificial Intelligence, Personalized Learning, Intellectual Disabilities, Special Education, Adaptive Learning, Assistive Technology
Field	Sociology > Education
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-02
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.77043

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research