Translating Hidden Norms: Using AI to Support Accessible, Neurodivergent-Inclusive Learning Across Disciplines

As interdisciplinary learning and graduate research expand, students are often required to navigate inconsistent expectations, communication styles, and hidden disciplinary norms. For neurodivergent students in particular, unclear or implicit instructions can create significant barriers to learning, mentoring relationships, and academic progress.
This interactive workshop explores how generative AI can function as a learning support infrastructure that helps surface, adapt, and translate instructional expectations without relying on disclosure or reactive accommodations. Grounded in individualized mentoring practice, the session focuses on common points of breakdown—assignment instructions, research guidance, and advisor–student communication.
Participants will engage in hands‑on activities to identify hidden assumptions, adapt instructional tone and explicitness, and generate AI prompts tailored to their own disciplinary or support contexts. The workshop will provide concrete examples and suggested prompt language, supporting clearer communication, cross‑department collaboration, and accessibility‑first learning support at scale.