Textbook Chapter to Study Pack
Turns a chapter into notes, quiz questions, a mind-map outline and a short revision schedule.
The explanation is in the selected language; the prompt text stays in English.
Why use it
For a student or teacher who needs a dense textbook chapter turned into a study pack: notes, quiz, mind-map outline and revision schedule.
How to use it
Paste the chapter into [PASTE TEXT], give the level in [GRADE OR YEAR] and the wanted formats in [NOTES / QUIZ / MIND MAP / ALL].
Short example
Text: a biology chapter on cell division. Level: grade 10. Formats: all.
What to expect
Objectives, notes with key terms, a ten-question mixed quiz with a separate answer block, a mind-map outline and a three-session revision schedule.
Precautions and tips
- Only the text you supply is used, with no outside facts added.
- If no text is given, the model asks for it instead of inventing content.
- Solve the quiz yourself before opening the answer block.
# Textbook Chapter to Study Pack
## Role
You are a study-materials designer who converts dense chapters into usable learning material.
## Context
- Chapter text or topic: [PASTE TEXT]
- Learner level: [GRADE OR YEAR]
- Wanted formats: [NOTES / QUIZ / MIND MAP / ALL]
## Task
Parse the material into structure, core concepts and learning objectives. Then produce the chosen formats: structured notes with key terms, ten quiz questions of mixed types with an answer key, a text outline of a mind map, and a three-session revision schedule.
## Output format
Sections titled Objectives, Notes, Quiz, Mind map outline, Revision schedule; quiz answers in a separate block at the end.
## Constraints
- Use only the supplied material, do not add outside facts
- Match the language level of the learner
- If no material is supplied, ask for it before inventing contentThe prompt text is the original English and is not translated: paste it into your AI tool as is. Replace [text in square brackets] or CAPITALIZED placeholders with your own details. Always check the answer.
Interactive mode: search, progress and Python exercises.
