Ideale per
- Partire da un prompt strutturato e riutilizzabile invece di una chat vuota.
- Adattare il prompt ai propri input mantenendo intatto l'intento originale.
- Flussi di lavoro legati a Education & Academic, Educators.
Audit dell’allineamento costruttivo
Compila questo promptValuta un corso per verificare l’allineamento costruttivo tra risultati, attività di apprendimento e valutazioni.
Modello di prompt
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.
Guida al prompt
Come usarlo
- Copia il modello di prompt completo.
- Sostituisci ogni variabile con il tuo contesto o scegli una delle opzioni suggerite.
- Incolla il prompt completato in ChatGPT, Claude, Gemini o un altro assistente IA.
Variabili in questo prompt
Learning Outcomes
Paste the learning outcomes
Activities
Paste the activities per session
Assessments
Paste the assessment tasks with weighting
Esempio di partenza
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.
Come funzionano le variabili
Sintassi delle variabili
Le variabili sono racchiuse tra {{ e }} e seguono questo schema:
{{variable name: option1, option2, option3 }}
Variabili predefinite
Una selezione può fare riferimento a un elenco di variabili predefinito usando le parentesi quadre. Appaiono in [arancione] e forniscono valori di uso comune come colori, toni o lingue.
{{Tone: [tones] }}
Elenchi di scelta personalizzati
Puoi anche fornire un elenco di scelte in linea, separate da virgole.
{{Format: bullet points, paragraphs, numbered list }}
Suggerimento: non hai bisogno dell'app PUCO per usare questi prompt! Copia semplicemente il modello e sostituisci ogni sezione {{…}} con il tuo testo direttamente in ChatGPT, Claude, Gemini o qualsiasi altro assistente IA.