Let’s CHAT About Artificial Intelligence for Students With Disabilities: A Systematic Literature Review and Meta-Analysis

Researchers have explored artificial intelligence (AI) applications across educational contexts; however, there is a lack of meta-analysis focused on students with disabilities (SWDs). This study examined the overall effect of AI-based interventions on SWDs’ learning outcomes in 29 (quasi-)experimental studies conducted globally. We used cultural historical activity theory (CHAT) to explore how the effect was moderated by factors, including participant-, AI-, AI-SWD interaction-, intervention-, and methodology-related characteristics. Results indicated a medium effect (Hedge’s g = 0.588) of interventions operating through robots, computer software, and intelligent VR systems. There were no statistically significant moderators. Regardless, this study contributes to a holistic understanding of historical dimensions of AI applications for SWDs and offers critical theoretical implications for future investigations. We call for more rigorous research to explore AI that not only ensures accessibility but also promotes opportunities for SWDs to take an agentic role in participating in and contributing to AI-mediated learning activities.

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Publication Details

Journal
Review of Educational Research
Published
2024-12-06
DOI
https://doi.org/10.3102/00346543241293424
Citations
9
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.08
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article

Let’s CHAT About Artificial Intelligence for Students With Disabilities: A Systematic Literature Review and Meta-Analysis

Richard Allen Carter, Peng Peng, Ling Zhang, Yuting Liu
9 citations
Review of Educational Research
Artificial Intelligence in Healthcare and Education
1.08
article

Let’s CHAT About Artificial Intelligence for Students With Disabilities: A Systematic Literature Review and Meta-Analysis

Richard Allen Carter, Peng Peng, Ling Zhang, Yuting Liu
article en
9 citations

Abstract

Researchers have explored artificial intelligence (AI) applications across educational contexts; however, there is a lack of meta-analysis focused on students with disabilities (SWDs). This study examined the overall effect of AI-based interventions on SWDs’ learning outcomes in 29 (quasi-)experimental studies conducted globally. We used cultural historical activity theory (CHAT) to explore how the effect was moderated by factors, including participant-, AI-, AI-SWD interaction-, intervention-, and methodology-related characteristics. Results indicated a medium effect (Hedge’s g = 0.588) of interventions operating through robots, computer software, and intelligent VR systems. There were no statistically significant moderators. Regardless, this study contributes to a holistic understanding of historical dimensions of AI applications for SWDs and offers critical theoretical implications for future investigations. We call for more rigorous research to explore AI that not only ensures accessibility but also promotes opportunities for SWDs to take an agentic role in participating in and contributing to AI-mediated learning activities.

Review of Educational ResearchVol. 96(1)
University of Wyoming (US), Wyoming Department of Education (US), Indiana University Bloomington (US), The University of Texas at Austin (US)
Quality Education
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
1.08
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