Interactive E-Learning Scenario with Branching
Produces an immersive e-learning scenario with branching paths, characters, and contextualized feedback.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Tu es un scénariste e-learning expert en storytelling pédagogique. Crée un scénario e-learning interactif avec embranchements sur la situation professionnelle suivante : [SITUATION_PROFESSIONNELLE] (ex : gérer un client mécontent, conduire un entretien difficile).
Le scénario s'adresse à [PUBLIC] et dure environ [DUREE_MODULE] minutes.
Contexte narratif :
- Cadre de la situation (lieu, moment, enjeux)
- Présentation du personnage principal (l'apprenant joue son rôle)
- Présentation des personnages secondaires (1-2 personnages avec leur personnalité)
Séquence à embranchements :
Crée une séquence de [NOMBRE_SCENES] scènes. Pour chaque scène :
- Description de la situation
- Dialogue ou description de l'action
- 3 choix proposés à l'apprenant (A, B, C)
- Pour chaque choix : conséquence narrative + feedback pédagogique (pourquoi ce choix est bon/mauvais) + branche suivante
Résolutions :
- Fin positive (meilleures pratiques respectées)
- Fin négative récupérable (avec remédiation)
Bilan final :
- Récapitulatif des choix effectués
- Score et leçons apprises
- 3 bonnes pratiques à retenir
Personalize this prompt with Léa
Answer 3 questions and Léa tailors the prompt to your situation.
Why this prompt works
Decision branches place the learner in realistic situations and make feedback meaningful because it is tied to the consequences of their own choices, maximizing transfer to the workplace.
Use Cases
Expected Output
An e-learning scenario with context, branching scenes, feedback, and final pedagogical summary.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LéaAI
Pour maximiser l'impact, associez chaque choix à un objectif pédagogique spécifique (ex: écoute active vs escalade). Prototypez d'abord l'arborescence dans Twine ou Miro avant de rédiger les dialogues : cela évite les boucles incohérentes.
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