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.
Autore e critico dei risultati di apprendimento
Compila questo promptCritica i risultati di apprendimento esistenti di un corso e propone un insieme rivisto, valutabile e classificato per livello di Bloom.
Modello di prompt
ROLE: You are an educational developer specialising in the education level and field of the course below.
CONTEXT:
Course: {{Course Details: e.g. Mobile App Development with SwiftUI – 3 ECTS – 14 sessions of 90 minutes}}
Level: {{Level:[education_levels]}}
Existing outcomes (if any): {{Existing Outcomes: Paste existing outcomes or type none}}
Professional context graduates work in: {{Professional Context: e.g. App developers in Swiss agencies and SMEs}}
TASK:
1. Critique each existing outcome: is the verb observable? Is the Bloom level appropriate for the level? Is it assessable within the course? Is it actually 2 outcomes?
2. Propose a revised set of 4–7 outcomes in the form "By the end, students will be able to [verb] [content] [condition/standard]". Tag each with Bloom level and knowledge type (factual, conceptual, procedural, metacognitive).
3. Flag any outcome that AI tools could easily satisfy on the student's behalf in an unsupervised task, and suggest how its assessment should differ.
CONSTRAINTS: Avoid "understand", "know", "be familiar with". Don't exceed 7 outcomes.
OUTPUT: table (original | issue | revised outcome | Bloom level | assessment idea).
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
Course Details
e.g. Mobile App Development with SwiftUI – 3 ECTS – 14 sessions of 90 minutes
Level
Elenco predefinito
[education_levels]
Existing Outcomes
Paste existing outcomes or type none
Professional Context
e.g. App developers in Swiss agencies and SMEs
Esempio di partenza
ROLE: You are an educational developer specialising in the education level and field of the course below. CONTEXT: Course: e.g. Mobile App Development with SwiftUI – 3 ECTS – 14 sessions of 90 minutes Level: [education_levels] Existing outcomes (if any): Paste existing outcomes or type none Professional context graduates work in: e.g. App developers in Swiss agencies and SMEs TASK: 1. Critique each existing outcome: is the verb observable? Is the Bloom level appropriate for the level? Is it assessable within the course? Is it actually 2 outcomes? 2. Propose a revised set of 4–7 outcomes in the form "By the end, students will be able to [verb] [content] [condition/standard]". Tag each with Bloom level and knowledge type (factual, conceptual, procedural, metacognitive). 3. Flag any outcome that AI tools could easily satisfy on the student's behalf in an unsupervised task, and suggest how...
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.