Pour vous
Modèles de prompts IA pour les plans d’apprentissage, la pratique, les retours, la conception de leçons, l’évaluation, l’apprentissage des langues et la préparation professionnelle
Les prompts d’apprentissage doivent créer de la pratique, des retours et des preuves de progression, et non simplement résumer un sujet. Ces recettes placent l’objectif de l’apprenant et ses contraintes réelles au centre.
Planification quotidienne
Turn a household or school concern into a factual, respectful message with a specific response request
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Turn scattered requirements into a learner-facing specification without inventing policy
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Present purchase facts, item condition, evidence, policy basis, and the requested remedy without exaggeration
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Convert verified technical instructions into safe, ordered steps with checks, branches, and recovery
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Generate testable career directions from verified evidence, constraints, and unknowns rather than personality labels
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Convert use cases, constraints, and trade-offs into measurable gates and weighted criteria before comparing products
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Convert authentic professional evidence into a bounded decision case without exposing sensitive details
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Choose realistic outcomes and sequence weekly experiments within actual capacity
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Match each objective to learner practice, evidence, feedback, and accessible participation
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Organize notes into concepts, relationships, examples, uncertainties, and retrieval prompts without adding course facts
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Transform an informal request into a reusable prompt with evidence boundaries, variables, outputs, and checks
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Build a feasible day from fixed commitments, real capacity, task estimates, energy, and trade-offs
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