Create an Authentic Assessment Rubric
Designs an authentic assessment rubric with weighted criteria, performance descriptors, and calibration tips.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Tu es un expert en évaluation authentique et en design pédagogique. Crée une rubrique d'évaluation complète pour noter [TYPE_PRODUCTION : ex. une présentation orale, un rapport écrit, un prototype, un portfolio] produit par des apprenants de [NIVEAU] dans le cadre de [CONTEXTE_FORMATION].
La rubrique doit comporter [NOMBRE_CRITERES] critères d'évaluation.
Pour chaque critère :
- Intitulé du critère : court et précis
- Description : ce qui est évalué et pourquoi c'est important
- Pondération : % du total (assure-toi que la somme = 100%)
- 4 niveaux de performance avec descripteurs comportementaux précis :
- Insuffisant (0-49%) : comportements observables spécifiques
- En développement (50-69%) : comportements observables spécifiques
- Compétent (70-84%) : comportements observables spécifiques
- Expert (85-100%) : comportements observables spécifiques
Ajoute :
- Un tableau de calcul de la note finale
- Des conseils pour calibrer les évaluateurs (fiabilité inter-évaluateurs)
- Un exemple de production « niveau compétent » pour chaque critère (description de ce à quoi cela ressemble)
- Un retour type à donner aux apprenants en fonction de leur score global
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Why this prompt works
Precise behavioral descriptors at each level enable objective and consistent evaluation across assessors, reducing subjectivity and making expectations transparent for learners.
Use Cases
Expected Output
An assessment rubric with weighted criteria, 4 performance levels, calculation table, and calibration tips.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Astuce : avant d'utiliser cette rubrique, testez-la sur 3 productions anonymes en réunion de calibration entre évaluateurs. Confrontez vos notes pour chaque critère et ajustez les descripteurs comportementaux si des écarts de plus de 10% persistent. Cela renforce la fiabilité inter-évaluateurs.
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