Update an old ESL lesson or unit to make it engaging and level-appropriate
Revises outdated ESL course material for a target CEFR level, with refreshed texts, clearer instructions, and new practice activities.
The prompt
Help me update an existing ESL lesson or unit.
Material: [PASTE the text, exercises, and instructions - or describe each section if it's a PDF]
Learners: [age group, first language(s), context - e.g. "adult immigrants", "teens in Brazil", "business English"]
Target level: [CEFR level, e.g. A2, B1]
Lesson length and format: [e.g. "90 min in person", "self-study online"]
What feels outdated or isn't working: [e.g. "old references", "too much grammar, no speaking", "instructions confuse students"]
Must keep: [grammar point, vocabulary set, or exam alignment]
Please:
1. Diagnose the current material: level fit (vocabulary, sentence length, grammar), dated content, unclear instructions, and the balance of reading, writing, listening, and speaking.
2. Rewrite the texts at the target level, with current, culturally inclusive topics and the same target language.
3. Rewrite instructions so they are short, imperative, and easy for a learner at that level to follow, with one example per task.
4. Add practice that moves from controlled to freer use - e.g. gap-fill, then information gap, then a short role-play or personal task.
5. Add a warm-up and a quick check (exit ticket or 5 self-check questions with answers).
Return the revised lesson in order, with timings, plus a table: Original section | What changed | Why. Write all new texts yourself - don't copy passages from published coursebooks.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Learning & Teaching prompts
What to fill in
- CEFR level, e.g. A2, B1
- e.g. "90 min in person", "self-study online"
- grammar point, vocabulary set, or exam alignment
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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