Generative AI in disability-inclusive learning: a bibliometric and systematic literature analysis
GenAI shows promise for personalisation, AAC, and teacher support, but evidence is early-stage and uneven across disabilities. Recommendations include standardised reporting (datasets, prompts, guardrails), longitudinal evaluation, and policy frameworks aligning Universal Design for Learning (UDL) with AI ethics and privacy. A replication package (data/code) and a taxonomy for GenAI-inclusive learning are proposed.
Authors
- Rajlakshmi Kanjilal (ORCID: https://orcid.org/0000-0001-6420-0819)
- Prema Nedungadi (ORCID: https://orcid.org/0000-0001-8774-3541)
- Hiran H. Lathabai (ORCID: https://orcid.org/0000-0002-5633-9842)
- Amal Krishnan U. C.
- Raghu Raman
Institutions
- Amrita Vishwa Vidyapeetham (IN)
Publication Details
- Journal
- Disability and Rehabilitation Assistive Technology
- Published
- 2026-04-13
- DOI
- https://doi.org/10.1080/17483107.2026.2653073
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00