Planning lessons for classes that include students with special educational needs and disabilities is one of the most complex planning tasks a teacher faces. The diversity of need — autism spectrum, dyslexia, ADHD, physical disabilities, social and emotional needs, and many more — means that a lesson designed for a "typical" learner will fail a significant proportion of the class.
This is not a niche concern. Roughly 18% of pupils in English schools are identified as having SEND. In most mainstream classrooms, inclusive planning is the default expectation, not an optional extra.
What inclusive lesson planning requires
Inclusive lesson planning starts from universal design principles: rather than designing a standard lesson and then adding adaptations, design the lesson from the outset so that the maximum number of students can access it. This means:
- Multiple means of representation — presenting information in more than one format (visual, verbal, written)
- Multiple means of engagement — varying how students interact with the content
- Multiple means of expression — offering more than one way to demonstrate understanding
In practice, this translates into lesson plans that include alternatives at each stage: a visual stimulus alongside a text resource, a verbal response option alongside a written one, a structured scaffold alongside an open task.
Where AI tools can help
AI lesson planners that understand differentiation can generate multi-tiered lesson structures automatically. Where a standard plan might include one version of a task, an AI-generated differentiated plan can include a supported version (with scaffolding, simplified language, or a structured frame), a standard version, and a stretch version — all from a single prompt.
AI is also useful for generating adapted resources quickly: a simplified version of a text, a word bank for students who need vocabulary support, a visual timeline for students who struggle with abstract sequencing. These take significant time to produce manually; AI can generate first drafts that the teacher then reviews and adjusts.
Where teacher expertise remains essential
AI doesn't know your students. It doesn't know that one student in your class has an EHC plan with specific adaptations, or that another student's ADHD means they need movement breaks built into the lesson rather than just differentiated task types, or that a third student's anxiety is heightened by cold-calling and needs advance notice before being asked to contribute publicly.
This kind of personalised knowledge is not something any AI tool can hold without the teacher providing it explicitly. The AI gives you a differentiated framework; the teacher applies it to the specific human beings in the room.
Using ScholaPlan for SEND planning
When setting up a class in ScholaPlan, the class profile includes fields for ability range and behaviour notes. Adding a note like "includes students with dyslexia and ADHD — tasks need to be broken into smaller steps with visual supports" will shape the AI's lesson generation toward more accessible outputs.
The generated plans are not SEND-specialist documents — they're lesson plans that have been shaped by the context you provided. Review them with your knowledge of specific students and their needs. The AI output is the scaffold; your professional judgement is the structure.
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