Intervention Fidelity for Enhanced Outcomes: A Systematic Review of Artificial Intelligence in Special Education

Intervention fidelity is essential to achieving meaningful learning outcomes for students with disabilities. However, maintaining the fidelity of evidence-based interventions (EBIs) is difficult due to time constraints, lack of professional development, case loads, and varying student needs ( Griffen et al., 2024 ). For students with disabilities, artificial intelligence (AI) has the potential to assist educators in intervention delivery ( Mosher et al., 2026 ). However, AI’s use in intervention implementation remains underresearched. This systematic review examines whether artificial intelligence (AI) may support dimensions of intervention fidelity (i.e., adherence, dosage, and quality of delivery) in special education contexts. Across five empirical studies, AI-supported tools were associated with improved implementation monitoring and implementor fidelity under constrained conditions. Evidence linking fidelity gains to student outcomes remains indirect, as no included studies conducted formal mediation analyses. Findings should therefore be interpreted as suggestive rather than causal. Ethical, developmental, and feasibility considerations are discussed.