S'inscrire gratuitement

Check understanding with Socratic questions

Auteur: AILesson6 min de préparationTesté avec:ChatGPTRévisé: 2026-08-28

Réponse rapide

Probe definitions, reasoning, evidence, boundaries, and transfer one question at a time without supplying the answer. Fournir: Topic and source, Learner state, Dialogue rules. Résultat attendu: An adaptive question sequence, misconception evidence, hints, and mastery summary.

1

Ajouter votre contexte

Votre texte reste dans ce navigateur. AILesson Prompts ne l’envoie ni à un modèle ni à un serveur.

2

Votre prompt

Les champs non remplis restent visibles sous forme d’espaces réservés, afin que vous puissiez quand même copier et modifier le prompt.

Check the learner's understanding through a Socratic dialogue grounded in the supplied source.

Concept, course definition, examples, and objective:
[topic]

Level, prior explanation, current answer/confidence, misconceptions, and accessibility:
[learner]

Question count, difficulty, hints, feedback timing, source limits, and stopping rule:
[method]

Ask one neutral question at a time and wait for the learner's answer. Begin by eliciting their model, then probe definition, assumptions, evidence, counterexample, boundary, comparison, and transfer as appropriate. Do not hide a lecture inside the question, praise correctness before evaluating it, or reveal the full answer prematurely. After each response, reflect the learner's reasoning, identify the precise supported or questionable step, and choose the next question adaptively. Use the agreed hint ladder only after struggle. At the end summarize what the learner demonstrated, misconceptions still evidenced, source-grounded corrections, and one independent check.
Essayer dans le Playground
Privé par défautL’assemblage du prompt se fait localement dans votre navigateur. Évitez de placer des informations confidentielles dans un service d’IA, sauf si votre organisation l’autorise.

De l'entrée au résultat

Un exemple détaillé

Voyez comment un contexte concret transforme cette recette en résultat utilisable.

Entrée réelle

Topic and source
Opportunity cost: value of the next best alternative forgone when a choice is made; may be non-monetary. Objective: distinguish it from sunk cost and apply it to short scenarios. Source example: cheaper train may cost more when two hours of lost paid work are included. Sunk cost: already incurred and unrecoverable, should not affect current marginal choice.
Learner state
First-year student says: 'Opportunity cost is all the money you lose when choosing something.' Confidence 7/10. Often counts every rejected option. No accessibility needs stated.
Dialogue rules
Up to 6 questions, medium difficulty. Ask one at a time. Hint ladder: ask for a concrete alternative, then restate 'next best,' then provide the train example only if needed. Correct after two unsuccessful probes or an explicit request. Stop early if the learner correctly defines, distinguishes, gives a counterexample, and transfers.

Exemple de sortie

First turn only: “You described opportunity cost as all the money lost. Imagine you choose to study for two hours instead of either working a paid shift or going for a free walk. Which one of those alternatives should determine the opportunity cost of studying, and what value would you count?”

If the learner says “both, because both were lost,” reflect and probe: “You have counted every rejected option. If the paid shift was your next best alternative and the walk ranked below it, what would change if the walk had never been available?” Wait again.

If still stuck, use hint 2: “The course definition says next best alternative, singular. Which alternative was next best?” Do not yet give a complete explanation. If corrected, probe distinction: “The shift payment has not happened. How is that different from a non-refundable ticket already paid?” Then ask for a non-monetary counterexample and a new transfer scenario.

End summary only after dialogue: record whether the learner identified one next-best alternative, recognized non-monetary value, separated forgone current alternative from unrecoverable past cost, and transferred. Do not treat confidence 7/10 as evidence of mastery.

Pourquoi cela fonctionne

  1. 1

    One-question turns reveal the learner's model before explanations can overwrite it.

  2. 2

    Adaptive probes distinguish memorized definitions from boundary and transfer understanding.

Vérifier le résultat

  • Does the dialogue wait for the learner after each single question?

  • Are probes neutral and responsive to evidenced reasoning rather than a fixed quiz script?

  • Are corrections delayed appropriately and grounded only in the supplied source?

Utilisez-la en toute confiance

Questions fréquentes

Des réponses pratiques sur le bon moment pour utiliser cette recette, ce qu’il faut fournir et les cas où une vérification humaine reste nécessaire.

What should I prepare before using “Check understanding with Socratic questions”?

For “Check understanding with Socratic questions,” prepare Topic and source, Learner state, and Dialogue rules. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.

When is the “Check understanding with Socratic questions” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—An adaptive question sequence, misconception evidence, hints, and mastery summary—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.

Which AI tools have recorded tests for “Check understanding with Socratic questions”?

The published test record for “Check understanding with Socratic questions” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.

Plus de façons d'explorer

Où se situe cette recette

Prompts texteApprentissage et étudesEnseignement et éducationPour les apprenants et les enseignants

Faites avancer votre travail

AILesson · Cours recommandés

Votre prochaine étape : mettez l’IA à contribution

Passez de la compréhension de l'IA à l'action. Entraînez-vous à formuler des requêtes, à évaluer et à améliorer les résultats grâce à des leçons interactives pour le travail et la vie quotidienne.

Découvrir tous les cours
Image de couverture de L’IA pour débutants

15 leçons interactives

L’IA pour débutants

Lancez une conversation utile avec une IA, améliorez sa réponse, vérifiez l’essentiel et sachez quand c’est à vous d’agir.

Découvrir ce cours
Image de couverture de Les bases de ChatGPT

10 leçons interactives

Les bases de ChatGPT

Découvrez ChatGPT à travers trois flux de travail pratiques : mener une première conversation, travailler à partir d’un fichier, puis utiliser Projects pour réutiliser un plan vérifié dans une nouvelle conversation.

Découvrir ce cours
Image de couverture de Comment fonctionne l’IA générative

7 leçons interactives

Comment fonctionne l’IA générative

Comprenez comment les systèmes courants de chat IA apprennent des structures linguistiques, utilisent les messages actuels, construisent leurs réponses et intègrent des sources et des outils.

Découvrir ce cours