The Equity-Ethics-Outcomes process in AI-Integrated ECE: Evidence from School Administrators in Punjab, Pakistan (Hayes PROCESS Model 6)

Background: Equity and inclusion have emerged as foundational imperatives in AI-integrated Early Childhood Education (ECE) globally, yet the psychological and leadership mechanisms through which school administrators' equity commitment translates into improved child outcomes remain empirically unexplored, particularly in Pakistan's rapidly evolving ECE landscape. Objective: The present study examined the serial indirect effect of school administrator equity and inclusion commitment on child learning and developmental outcomes through AI ethics awareness (M1) and inclusive leadership (M2), using Hayes PROCESS Model 6, among ECE school administrators in Punjab, Pakistan. Methods: Grounded in Social Justice Leadership Theory (Theoharis, 2007), Ethical Leadership Theory (Brown et al., 2005), and Distributed Leadership Theory (Spillane, 2006), the study employed a quantitative cross-sectional survey design with a multistage random sample of 318 ECE school administrators. Hayes PROCESS Macro Model 6 with 5,000-iteration bootstrapped confidence intervals was deployed for analysis. Results: All six hypotheses were confirmed. Equity and inclusion commitment positively predicted AI ethics awareness (β = .46) and inclusive leadership (β = .39). AI ethics awareness positively predicted inclusive leadership (β = .43) and child learning outcomes (β = .41). Inclusive leadership positively predicted child outcomes (β = .48). Three significant indirect pathways were identified, including the novel full serial path (X→M1→M2→Y: indirect effect = .09, CI [.04, .16). Conclusion: Administrator equity commitment shapes child learning outcomes through a sequential chain of AI ethics awareness and inclusive leadership practices. Findings offer actionable implications for ECE administrator training, school governance, and AI ethics policy in Pakistan and developing country contexts.