AI-Driven Interventions: Enhancing Social Skills in Special Needs Learners

Abstract

The rapid advancement of artificial intelligence (AI) technologies has significantly transformed educational practices, particularly in special education. Learners with special needs frequently encounter challenges in developing social skills, including communication, emotional recognition, and interpersonal interaction. AI-driven interventions, such as intelligent tutoring systems, socially assistive robots, virtual learning environments, and adaptive mobile applications, offer innovative approaches to address these challenges. This article examines the potential of AI-based interventions in enhancing social skills among special needs learners, with particular attention to students with autism spectrum disorder (ASD) and other developmental disabilities. Through a conceptual review of recent empirical studies (2016–2026), the paper explores key technological approaches, theoretical foundations, and implementation strategies in AI-supported social skills development. Findings indicate that AI-driven technologies enable personalized learning experiences, provide real-time feedback, and simulate social scenarios in controlled environments, thereby facilitating the development of communication, emotional regulation, and cooperative behaviors. Despite these advantages, issues such as ethical considerations, data privacy, accessibility gaps, and teacher preparedness remain significant challenges. The article concludes by proposing a conceptual framework for integrating AI interventions in special education settings and highlights directions for future research, particularly within inclusive educational contexts.