Let’s CHAT About Artificial Intelligence for Students With Disabilities: A Systematic Literature Review and Meta-Analysis
Ling Zhang, Richard Allen Carter, Yuting Liu, Peng Peng
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.