AI in special education should not replace learning for people with intellectual disabilities. It can serve as an assistive tool for creating a more personalized and repeatable learning environment. What matters most is not the technology itself, but the learner’s understanding and choice. Nalkku uses AI to adjust material difficulty, generate repeated questions, support expression, and organize activity records, while keeping human review and contextual adjustment in the process so learning can carry into life.

“AI education for developmental disabilities” is a broad expression that may include intellectual disability, autism, and other support needs. This article focuses specifically on personalized learning materials and support for expression for people with intellectual disabilities. It should not be generalized automatically to every person within the broader category.

Summary

  • AI can help create learning materials adapted to a person’s interests and current level of understanding.
  • It can assist with repeated practice, clear wording, options, and draft feedback.
  • AI cannot replace human relationships and judgment in learning support.
  • Good use depends less on automation than on review, adjustment, documentation, and clear accountability.

AI can accelerate personalized learning materials

Adolescents and adults with intellectual disabilities differ in comprehension, interests, experience, language, and reading pace. A text described as easy may be accessible to one person and still difficult for another. AI can quickly produce versions of the same topic with different vocabulary, sentence lengths, examples, and levels of complexity. Universal Design for Learning likewise emphasizes providing multiple routes for engagement, representation, and expression.1

A topic such as “a healthy daily routine” might focus on meals and sleep for one learner and on preparing for work and regulating emotion for another. This kind of variation can be a starting point for individualized design.

AI can provide varied repeated practice

Repetition matters in learning, but repeating exactly the same task can become tiring. AI can preserve a central relationship while changing the subject matter and wording. In analogy learning, for example, the prompt “How are these two situations similar?” can be adapted across several everyday topics to practice transfer.

The quality of repetition matters more than quantity. A person should review AI-generated items for comprehension level, cultural context, respect for adults, and safety. A large set of poor examples can create more confusion than learning.

AI can provide a bridge for expression

An adolescent or adult with an intellectual disability may have something to say while finding it difficult to organize a sentence. AI can help refine a short response, offer options, or turn spoken words into a draft for a learning record. It should provide a bridge for expression, not speak in place of the person.

If a participant says, “I liked it, but it was hard,” AI might propose, “I enjoyed this activity, but some parts were difficult.” The participant must be able to accept, reject, or revise the final sentence.

AI can widen access, but people must secure accessibility

AI may assist with clearer language, summaries, speech conversion, image descriptions, and step-by-step guidance. Research on generating easy-to-read information for people with cognitive accessibility needs shows both possibility and the need for careful quality evaluation.3 4 Accessibility is not complete because a function exists. Someone must check whether the person actually understood, can ask questions without pressure, and can express a choice.

Safety is especially important when AI is used with people with intellectual disabilities. Too many options, ambiguous explanations, or unverified information can increase cognitive load. AI is an assistive tool; people remain responsible for interpreting context.

AI changes the human role rather than removing it

When AI is used well, human involvement does not disappear. Its focus changes. AI can assist with repetitive drafting, difficulty adjustments, example generation, and record organization. Educators and supporters can devote more attention to relationships, motivation, emotional safety, and checking real understanding.

This is also why Nalkku combines AI-supported design with paper materials. AI assists the design and adjustment process; the learner reads, writes, speaks, and reflects on paper at their own pace.

Limits and risks must remain visible

AI can be wrong, overstate a claim, or generate language that is inappropriate for a learner. It can reproduce stereotypes about disability. Guidance on AI-generated content similarly emphasizes usefulness and trustworthiness rather than treating the use of AI itself as a mark of quality.2 AI-generated educational materials therefore require human review and, whenever possible, feedback from the people expected to use them.

AI can expand the right to learn, but it must not become unaccountable automation. The quality of its use depends on editorial standards, review procedures, and ethical responsibility.

Conclusion

AI can support learning for people with intellectual disabilities. It does this best when it complements personalized design and repeated support rather than replacing people—and when human judgment and relationships become more, not less, important. Nalkku’s use of AI should remain grounded in this principle.