Researchers studied 19 master's-level graduate students who were learning to teach special education. The students explored how generative AI tools—software that can create text, images or other content—might help students with high-incidence disabilities, meaning disabilities that affect many students in schools.
The study found that as students learned more, their views shifted. At first, they saw AI mainly as a way to save time on admin tasks. Later, they recognised AI could help teach students better by adapting to individual needs, like a personalised tutor.
Why it matters
- Future special educators need skills beyond technology: ethics, privacy laws, and matching AI to each student's needs.
- AI in schools requires human oversight to protect student data and comply with confidentiality rules like FERPA.
- Teacher training must address responsible AI use, not just how to operate the tools.
What to do
- Ask your child's school about teacher training in ethical AI use and data privacy.
- Help your child think critically about AI outputs rather than accepting them without question.
- Ensure schools tailor AI tools to individual student needs, not use generic AI solutions for all.