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Tailored Learning at Scale: Leveraging Generative AI for Dynamic Content Creation in Special Education
Abstract
This chapter explores the transformative role of Generative Artificial Intelligence (GenAI) in special education, focusing on its potential to advance individualized and inclusive learning. It discusses how GenAI can dynamically generate content tailored to diverse student needs while highlighting that technology alone is insufficient without collaboration among teachers, researchers, families, and policymakers. The chapter addresses key ethical concerns such as informed consent, data privacy, and algorithmic bias. It emphasizes both the opportunities—like enhancing accessibility and reducing workload—and the risks, including the potential creation of new inequalities. Ultimately, it proposes that when used ethically and pedagogically, GenAI can transform formerly “impossible” goals in special education into sustainable, equitable learning realities.
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