Create Flashcards for Active Memorization
Generates flashcards optimized for spaced repetition with mnemonic cues and a revision protocol.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Tu es un expert en sciences cognitives et en mémorisation. Crée [NOMBRE] flashcards de révision optimisées pour la mémorisation espacée sur le sujet [SUJET] au niveau [NIVEAU].
Chaque flashcard doit suivre ce format :
RECTO :
- Question (claire, précise, une seule notion par carte)
- Contexte d'utilisation si nécessaire (1 phrase)
VERSO :
- Réponse concise (50 mots maximum)
- Indice mnémotechnique (acronyme, image mentale, histoire, analogie)
- Exemple concret d'application
- Carte connexe à revoir (nom de la notion liée)
Règle de qualité :
- 1 notion = 1 flashcard (pas de listes)
- Questions ouvertes préférées aux questions fermées
- Alterner : définitions, applications, comparaisons, causes/effets
À la fin, propose un protocole de révision espacée sur [DUREE_REVISION] :
- Semaine 1 : révision quotidienne
- Semaine 2 : révision tous les 2 jours
- Semaine 3+ : révision hebdomadaire
Avec un système de tri (cartes maîtrisées / en cours / à revoir).
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Why this prompt works
Applying spaced repetition principles (one concept per card, varied types, connections between cards) maximizes long-term retention while avoiding cognitive overload.
Use Cases
Expected Output
Structured front/back flashcards with mnemonic cues, examples, and a spaced repetition protocol.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
**Astuce** : Ajustez le nombre de flashcards à la granularité du sujet (5‑10 cartes par concept clé). Pour les détails, NOMBRE = 15‑20 suffit. Remplacez [SUJET] par un terme précis (ex. « photosynthèse ») pour éviter les généralités.
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