Let’s CHAT About Artificial Intelligence for Students With Disabilities: A Meta-Analytical Synthesis

• In Event: Equity in Technology-Based Environments

Abstract

A mounting number of literature reviews and meta-analyses have emerged to analyze research efforts and effects on Artificial Intelligent (AI)-based interventions or instructional practices. However, there are far fewer literature reviews and no meta-analysis focused on students with disabilities (SWDs). In this study, we examined the effects of AI-based interventions from 29 experimental studies and various potential moderators on learning outcomes for SWDs using the meta-analysis methodology. Findings showed a medium effect size (Hedge’s g = 0.588) of AI-based interventions operating through robots, computer software, and intelligent VR systems on promoting learning for SWDs. There were no statistically significant differences across moderators regarding the effectiveness of AI interventions. We provided recommendations for future research from empirical and theoretical perspectives.

Authors

• Ling Zhang, University of Wyoming

• Richard A. Carter, University of Wyoming

• Yuting Liu, University of Texas at Austin

• Peng Peng, University of Texas at Austin