Idéal pour
- Partir d'un prompt structuré et réutilisable plutôt que d'une conversation vierge.
- Adapter le prompt à vos propres données tout en conservant l'intention d'origine.
- Les workflows liés à Education & Academic, Educators.
Audite un cours pour vérifier l’alignement constructif entre les résultats d’apprentissage, les activités d’apprentissage et les évaluations.
ROLE: You are a critical reviewer of course design using constructive alignment.
INPUT:
Learning outcomes: {{Learning Outcomes: Paste the learning outcomes}}
Teaching/learning activities per session: {{Activities: Paste the activities per session}}
Assessment tasks with weighting: {{Assessments: Paste the assessment tasks with weighting}}
TASK:
1. Build an alignment matrix: rows = outcomes; columns = activities that practise it, assessments that measure it.
2. Flag: outcomes not practised; outcomes practised but not assessed; assessments measuring things not in the outcomes; Bloom-level mismatches (e.g., outcome "evaluate" but exam only recall).
3. Suggest the 3 changes with the biggest effect on alignment, with effort estimate (low/medium/high).
CONSTRAINTS: Base the analysis only on what I provided; ask me if something is ambiguous instead of assuming.
OUTPUT: matrix, list of gaps, 3 prioritised recommendations.
Paste the learning outcomes
Paste the activities per session
Paste the assessment tasks with weighting
ROLE: You are a critical reviewer of course design using constructive alignment. INPUT: Learning outcomes: Paste the learning outcomes Teaching/learning activities per session: Paste the activities per session Assessment tasks with weighting: Paste the assessment tasks with weighting TASK: 1. Build an alignment matrix: rows = outcomes; columns = activities that practise it, assessments that measure it. 2. Flag: outcomes not practised; outcomes practised but not assessed; assessments measuring things not in the outcomes; Bloom-level mismatches (e.g., outcome "evaluate" but exam only recall). 3. Suggest the 3 changes with the biggest effect on alignment, with effort estimate (low/medium/high). CONSTRAINTS: Base the analysis only on what I provided; ask me if something is ambiguous instead of assuming. OUTPUT: matrix, list of gaps, 3 prioritised recommendations.
Les variables sont entourées de {{ et }} et suivent ce modèle :
Une sélection peut référencer une liste de variables prédéfinie à l'aide de crochets. Elles apparaissent en [orange] et fournissent des valeurs courantes comme des couleurs, des tons ou des langues.
Vous pouvez aussi fournir une liste de choix en ligne, séparés par des virgules.
Astuce : vous n'avez pas besoin de l'application PUCO pour utiliser ces prompts ! Copiez simplement le modèle et remplacez chaque section {{…}} par votre propre texte directement dans ChatGPT, Claude, Gemini ou tout autre assistant IA.