Leveraging Artificial Intelligence to Enhance Special Needs Education and Promote STEM Learning

Access to quality education is a basic human right, yet students with disabilities continue to face systemic barriers, especially in STEM fields where traditional teaching methods often fail to meet diverse learning needs. This study explores how artificial intelligence (AI) can transform STEM education for students with special needs by enabling personalized, adaptive, and inclusive learning experiences. Through a mixed-method approach involving educators and students, the research assesses the impact of AI tools on student engagement, skill development, and academic performance. It also examines key challenges, including limited teacher training, resource constraints, and ethical concerns such as data privacy and algorithmic bias. The findings underscore that, when implemented responsibly, AI has the potential to bridge educational gaps and empower all learners, especially those historically marginalized—while preserving the essential role of educators and upholding ethical standards. This study offers practical insights and recommendations to guide the equitable and effective integration of AI in special education classrooms.