Creating Differentiated Materials with AI
Learn how to take one activity and use AI to create three versions — for A2, B1, and B2 learners — without starting from scratch each time.
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About this tutorial
Mixed-ability classes are the norm, not the exception. This tutorial shows a practical system for using AI to differentiate a single task into three levels — typically in under five minutes.
We demonstrate with a reading comprehension activity, a grammar task, and a discussion prompt — each adapted for A2, B1, and B2. You'll also learn how to prompt the AI to explain the changes it made, which is useful when you need to justify differentiation decisions to a department head or examiner.
By the end of this tutorial you'll have a differentiation workflow you can apply to any material you already own.
Prompts used in this tutorial
Reading Comprehension Question Set
You are an experienced ESL reading teacher. Based on the following text (or topic if no text is provided): [PASTE TEXT OR DESCRIBE TOPIC], create a complete set of reading comprehension questions for [CEFR LEVEL] students. Include: (1) 4 True/False/Not Given questions, (2) 4 multiple-choice questions with 3 options each, (3) 3 short-answer questions that require inference, (4) 1 vocabulary-in-context question. Provide a full answer key. If no text is provided, generate a short 200-word reading passage first, then create the questions.