Authors : Dr. Kalpana Naidu C; Pon Madura Annal

Volume/Issue : Volume 10 - 2025, Issue 2 - February

Google Scholar : https://tinyurl.com/yc3ha9d8

Scribd : https://tinyurl.com/ydum2yzv

DOI : https://doi.org/10.5281/zenodo.14910106

Abstract : Artificial Intelligence (AI) is reshaping numerous industries, and its application in special education is particularly transformative. This research investigates the impact of AI in special education, focusing on the advancements of Intelligent Tutoring Systems (ITS) and predictive analytics. ITS offers individualized learning experiences by adjusting to the unique abilities and learning needs of each student, while predictive analytics helps educators identify potential learning barriers and proactively intervene. This study also emphasizes the challenges of accessibility—particularly for students with special needs—highlighting factors such as cost, infrastructure, and teacher training. By exploring these factors, the research aims to uncover the obstacles in AI implementation and suggest strategies to overcome them. Ultimately, this study provides a deeper understanding of how AI can enhance the educational experiences of students with special needs, promoting inclusive and effective teaching practices.

Keywords : Artificial Intelligence, Special Education, Intelligent Tutoring Systems, Predictive Analytics, Educational Accessibility, Inclusion.

References :

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4. VanLehn, K. (2011). The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist.