Opportunities of AI in special education

Artificial Intelligence (AI) is rapidly transforming the educational landscape, offering innovative solutions to longstanding challenges in special education. This review explores the integration of AI technologies in supporting students with diverse learning needs. Drawing on recent research and practice-based insights, the paper examines how AI facilitates personalized instruction, improves accessibility, enhances communication, and supports data-driven decision-making. Moreover, it addresses ethical considerations, highlights emerging innovations, and discusses the role of AI in augmenting—not replacing—human interaction. The review identifies key opportunities for inclusive and adaptive learning, while also presenting current limitations and future research directions. It emphasizes the importance of equity, ethical deployment, and the involvement of stakeholders in AI development for special education.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-30
DOI
https://doi.org/10.5281/zenodo.17275414
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Opportunities of AI in special education

Zenodo (CERN European Organization for Nuclear Research)
Diverse Scientific and Economic Studies
article

Opportunities of AI in special education

article en

Abstract

Artificial Intelligence (AI) is rapidly transforming the educational landscape, offering innovative solutions to longstanding challenges in special education. This review explores the integration of AI technologies in supporting students with diverse learning needs. Drawing on recent research and practice-based insights, the paper examines how AI facilitates personalized instruction, improves accessibility, enhances communication, and supports data-driven decision-making. Moreover, it addresses ethical considerations, highlights emerging innovations, and discusses the role of AI in augmenting—not replacing—human interaction. The review identifies key opportunities for inclusive and adaptive learning, while also presenting current limitations and future research directions. It emphasizes the importance of equity, ethical deployment, and the involvement of stakeholders in AI development for special education.

Zenodo (CERN European Organization for Nuclear Research)
Institution of Structural Engineers (GB)
Openalex Percentile: Top 33%
Diverse Scientific and Economic Studies
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