The AI-Enhanced Transition IEP: A Framework for Ethical, Individualized, and Effective Decision-Making

With the increasing number of students in the United States who qualify for special education and related services, special educators face persistent challenges in developing high-quality, legally defensible individualized education programs (IEPs). Recent research suggests that generative artificial intelligence (AI) can reduce educator workload while supporting the development of high-quality IEPs. This article introduces the AI-Enhanced Transition IEP Framework, a three-phase, seven-step process that demonstrates how large language models, such as ChatGPT, Claude, and Gemini, can support ethical, individualized, and legally defensible IEP development for secondary students. Organized around the phases of Planning, Prompting, and Presenting, the framework guides special educators in developing measurable postsecondary goals based on age-appropriate transition assessments, measurable annual goals, and coordinated courses of study that align with students’ strengths, needs, preferences, interests, and postsecondary aspirations. Throughout the framework, professional judgment remains central to ensuring that AI-generated content is individualized, aligned with legal requirements, and refined through collaboration with students, families, and IEP teams.