Advancing Early Childhood Mental Health Consultation: Evaluating Traditional and AI-Enhanced Approaches to Support Children and Teachers

Early Childhood Mental Health Consultation (ECMHC) promotes children’s social–emotional development and reduces challenging behaviors in early care and education (ECE) centers, yet implementation barriers increase teacher stress and reduce confidence. Scalable, efficient, and accessible approaches are needed to meet ECE center demands. This quasi-experimental match-controlled study evaluated two ECMHC programs in promoting children’s social–emotional development and improving teachers’ skills/attitudes compared to an attention control condition in 22 ECE centers in lower-resourced areas of BLINDED. We compared Jump Start (JS; traditional human consultation model), Jump Start Go (JS Go; AI-enhanced consultation model), and Healthy Caregivers–Healthy Children (HC2; obesity-prevention consultation model). Child social–emotional development, teacher workplace stress/confidence, and classroom practices were assessed at pre-and post-intervention. Children in JS and JS Go interventions demonstrated significant social–emotional gains (F = 13.55, p < 0.001), with the largest reductions in internalizing problems observed in children who received JS Go (−2.91 points; F = 9.65, p < 0.001). JS Go classrooms also showed greater improvements in prosocial behavior (F = 5.05, p = 0.012) and resiliency (F = 8.95, p < 0.001) than HC2 classrooms. Findings suggest that both traditional and AI-enhanced ECMHC approaches can promote teachers’ capacity to support children’s social–emotional development.