Background: Mentally retarded children often face challenges in accessing adequate care and support, necessitating innovative approaches to enhance their well-being and inclusion within communities. This study explores the integration of Adaptive Governance (AG) principles and Internet of Things (IoT) technologies to address these challenges comprehensively. Methodologies: The study employs a mixed-methods approach, qualitative inquiries to evaluate the effectiveness of AG-driven interventions and IoT-enabled solutions. A diverse sample of mentally retarded children is recruited, with interventions implemented over a longitudinal period. Data collection involves standardized assessments, interviews, observations, and real-time data from IoT devices. Analysis includes descriptive statistics, ANOVA, and thematic analysis to examine changes in outcomes and identify key themes. Results: Quantitative analysis reveals significant improvements in community resilience, social inclusion, and adaptive functioning among participants. Findings elucidate the experiences, perceptions, and challenges encountered during intervention implementation. Integration of qualitative data provides a comprehensive understanding of intervention outcomes and mechanisms. Conclusion: The integration of AG and IoT offers promising avenues for enhancing the well-being and inclusion of mentally retarded children. Collaborative policy development, stakeholder engagement, flexible management, and data-driven decision-making are essential components of effective interventions. Ethical considerations are paramount in research involving vulnerable populations.