Generative AI in Disability-Inclusive Learning: A Bibliometric Review of 88 Papers

A systematic literature review and bibliometric analysis of 88 academic records published between January 1, 2022, and February 6, 2025, focusing on Generative AI applications for students with disabilities. The dataset, created by Amal Krishnan U. C. and shared under a CC-BY-4.0 license, includes a relevance-scored subset of 49 papers analyzed using TF-IDF, K-Means clustering, and keyword co-occurrence networks.

Use Cases

• Identify research clusters and trends in Generative AI for disability-inclusive learning based on the five identified thematic groups.
• Analyze keyword co-occurrence networks to understand the relationship between concepts like ASD, dyslexia, ChatGPT, and adaptive learning.
• Assess gaps in the literature, such as the underrepresentation of visual, hearing, and motor impairments, to guide future research priorities.
• Validate proposed frameworks and taxonomies for GenAI-inclusive learning against the reviewed corpus.
• Support meta-analysis of evidence quality and methodological approaches in early-stage GenAI interventions for education.

Strengths

• Includes 88 screened records with a relevance-scored subset of 49 papers for detailed analysis.
• Applies multiple analytical methods: TF-IDF, K-Means clustering (k=5), PCA visualization, and VOSviewer networks.
• Explicitly identifies five distinct research clusters and specific underrepresented disability groups.
• Provides a replication package with data and code, enhancing reproducibility.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The evidence base is described as early-stage and uneven across disability types, with a narrow focus on ASD and dyslexia.
• The dataset is small (76.9 KB), indicating limited scope primarily containing bibliometric metadata.

Provenance

Source

figshare

Collection Method

Systematic literature review following SPAR-4-SLR protocol, sourcing from Scopus and Google Scholar.

Time Range

January 1, 2022 to February 6, 2025

Freshness

Last updated 2026-04-13 18:17:39