Artificial Intelligence to Enhance STEM Education for Students With Autism

This technology in action article offers practical guidance for educators on integrating artificial intelligence (AI) tools into STEM instruction for students with autism. Many autistic students have strengths in pattern recognition, logic, and detail-oriented tasks but face challenges with executive functioning, abstract reasoning, and engagement in typical classroom settings. Utilizing evidence-based practices and the SETT (Student, Environment, Tasks, Tools) framework, the manuscript highlights three instructional supports facilitated by AI: personalized learning, executive functioning support, and engagement strategies. Specific AI tools, including adaptive learning platforms and task management apps, are illustrated with classroom examples. Recommendations emphasize explicit skill instruction, structured routines, and data collection to assess and refine AI tool effectiveness. Thoughtful AI integration can significantly enhance academic outcomes, promote student independence, and improve equitable access to STEM education, preparing students with autism for future academic and career opportunities.