Adapted and Differentiated Material Production: Simplification and Visual Support — Artificial Intelligence in Special Education

Gains:

Ability to accelerate the process of simplifying a text according to its readability level, dividing it into steps and enriching it with visual support with artificial intelligence.
Ability to create prompts to transform the same outcome into a differentiated (multi-layered) activity according to different levels.
Ability to understand that the material produced must be verified by an expert in terms of copyright, originality and compliance with the curriculum.

One of the tasks that a special education teacher spends the most time on is preparing materials. A classroom text may seem heavy to one student and light to another; An activity may be too intense for one child and simple for another. The teacher rewrites the same learning outcome according to different levels, adds visuals, and divides it into steps. This job requires creativity, but it also consumes hours. AI is a powerful generator of drafts and variations in this process: it breaks down a text into different levels of readability, breaks it down into steps, gives the idea of visual support, and turns the same achievement into a multi-layered activity. In this unit we will see how to do this and where we should stop. Note from the beginning: every material produced must be verified by an expert in terms of copyright, originality, accuracy and compliance with the curriculum.

Let's separate two basic concepts. Accommodation is making the presentation easier without changing the content: increasing the size, numbering the steps, adding visuals, allowing time. Modification is simplifying the content itself: simplifying the text, narrowing the scope of acquisition. Differentiation means offering the same outcome at different levels of difficulty for students at different levels in the classroom. AI helps with all three.

Steps to simplify

Simplifying a text does not mean arbitrarily shortening it; aiming for readability. Readability is how easily a text is understood and depends on factors such as sentence length, word frequency, and abstractness. Steps:

Set target level. Who will read the text? Give a goal such as “pre-reading,” “1st grade level,” “short sentences, concrete vocabulary.”
Shorten the sentences. Break long, nested sentences into short, single-judgement sentences. Let one sentence carry one idea.
Reduce the abstract to the concrete. Support abstract concepts with everyday examples; Explain or replace unknown words.
Add structure. Use headings, numbered steps, bullets, and plenty of space; Dense text blocks make students with attention deficit disorder lose track.
Mark visual support points. Have a “symbol/image here” note next to each step; reduces visual and verbal load.
Verify. Check that the simplified text still meets the gain and there is no loss of information.

Tip: Instead of telling the AI to "simplify this text", give concrete constraints such as "divide this text into steps of 2 short sentences, use no more than 8 words in each step, explain unknown words with parentheses". Concrete constraint brings consistent results.

The table below shows how the same gain can be differentiated into three levels:

layer

target student

Task example (acquisition: "living-inanimate discrimination")

Basic

Concrete support needed

Matches images into two "living/inanimate" boxes

medium

partially independent

Groups 6 objects by criteria, marks why

freelancer

Why find 5 examples from your own environment and write them down?

three mini cases

Case 1 — Text simplification. A teacher had a 4th grade science text; It was heavy for the mainstream student in his class. He gave the text to the AI and said, "reduce it to pre-reading level, each step is two short sentences maximum, mark visual support points." AI produced a simple 6-step version in 3 minutes. The teacher corrected two terms and changed one visual note. Duration: 8 minutes instead of 40 minutes, and the child followed the text independently for the first time.

Case 2 — One gain, three levels. In one classroom, the "reading the clock" outcome was achieved for three different levels of children. The teacher divided the same learning from AI into three-tiered activities as basic/intermediate/advanced. Base layer full clocks and large visual clock; the advanced layer contained quarter/half and problem. The teacher adjusted the criteria for the layers according to the actual levels. Thus, with only one preparation, three children studied the same subject but at their own level.

Case 3 — Copyright and the accuracy trap. A teacher asked the AI for a worksheet “with a cute cartoon character” and what came out included the character of a copyrighted brand; there was also incorrect information in the text ("whales are fish"). The teacher noticed this and replaced the character with an original drawing and corrected the information. Error: attempting to reproduce the output without checking it for copyright and accuracy. If material is to be distributed, copyrighted content and misinformation are serious risks.

Case 4 — Linking to interest. One student who had trouble getting motivated showed no interest in standard worksheets, but had a keen interest in trains. The teacher asked AI to draft a material that put the picking outcome in the context of “picking up passengers in train cars”; The outcome remains the same, only the context has changed. The child performed the same procedure willingly this time, and the completion rate increased significantly. Lesson: differentiation includes context and relevance, not just difficulty. AI works well to quickly adapt the same learning to a child's interests; You provide the interest information, you control the eligibility.

Weak prompt / Strong prompt

Weak prompt:

Prepare me a worksheet on this subject.

This request does not specify level, outcome, format or student need. The result is a page that is generic, intemperate, and probably not suitable for the child.

Powerful prompt:

Your role: assistant to the teacher preparing special education material.Achievement: "does addition to 20".Student (anonymous): 8 years old, works with concrete material, gets distracted in long text.Task: DRAFT the same outcome 3 LAYER (basic/intermediate/advanced) worksheet.Rules: short sentence each step; mark visual/concrete support points in the format [VISUAL: ...]; USING copyrighted characters/brands; Pay attention to information accuracy. Add success criteria under each layer.

In this claim, gain, profile, layer, format and copyright rule are clear. The output is a directly usable outline; yet it is confirmed.

Visual support template

A visual support plan is created for this activity: - Recommended visual type for each step (photo/symbol/scheme) - One message that the visual should carry (one image = one idea) - Color/contrast note (for attention and vision differences) - Royalty-free/original reproducibility noteNote: Visuals will be selected by the expert for suitability for the child.

Tip: Once you have a good outline of a material, ask the AI to translate it into a “reusable template”: a skeleton where the topic and numbers are variable, while the rest remains constant. This way you don't start from scratch with each new acquisition, you just update the variables. This will permanently reduce your weekly material load; but you still check each newly completed version of the template for accuracy and level.

Common mistakes

Confusing simplification with abbreviation. Simplify the text not by cutting it, but by dividing the sentence and concretizing it; The gain must be protected.
Ignore copyright. Reproducing material containing brand characters, copyrighted images or quotes without supervision is risky.
Not checking accuracy. AI may produce misinformation in course content; Every case must be confirmed.
Producing a single level. Preparing materials with a single difficulty when the class is multi-leveled negates differentiation.
Mistaking the visual for decoration. Visual is a support that reduces the verbal load; Each image should carry a single, clear message.
Breaking the curriculum link. Plain material should adhere to the relevant outcome and IEP purpose.

In summary

Adapting material is the daily bread of special education, and AI speeds up this task: it reduces the text to a readable level, divides it into steps, suggests visual support and turns the same acquisition into a multi-layered activity. But simplification must preserve the outcome, the material must be clean in terms of copyright and accuracy, visuals must support the meaning, and everything must adhere to the curriculum and IEP purpose. The final verification always lies with the expert. The biggest payoff is setting up a single material as a multi-level and reusable template from the start, as well as increasing motivation by connecting the content to the child's interest; These two habits will permanently reduce your preparation load and ensure that the material actually works.

Application task

Choose an outcome in your class and ask the AI for a three-layer (basic/intermediate/advanced) material outline with the "Powerful prompt" in this unit. Check the output for (1) whether each layer preserves the gain, (2) for copyrighted content, (3) for information accuracy. Correct the criteria for at least one layer to the actual student and review the visual support notes.

checklist

[ ] The material depends on the relevant outcome and the purpose of BEP.
[ ] Simplification preserved gain, no loss of information.
[ ] Does not contain copyrighted characters/images/quotes; was personalized.
[ ] The facts in the content have been verified for accuracy.
[ ] Differentiation was made for at least two-three levels.
[ ] Images support the meaning and will be subject to expert approval.