Ideal para
- Empezar desde un prompt estructurado y reutilizable en lugar de un chat en blanco.
- Adaptar el prompt a tus propios datos manteniendo intacta la intención original.
- Flujos de trabajo relacionados con Education & Academic, Educators.
Redactor y crítico de resultados de aprendizaje
Rellenar este promptCritica los resultados de aprendizaje existentes de un curso y propone un conjunto revisado, evaluable y etiquetado por nivel de Bloom.
Plantilla de 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).
Guía del prompt
Cómo usarlo
- Copia la plantilla de prompt completa.
- Sustituye cada variable por tu propio contexto o elige una de las opciones sugeridas.
- Pega el prompt completado en ChatGPT, Claude, Gemini u otro asistente de IA.
Variables de este prompt
Course Details
e.g. Mobile App Development with SwiftUI – 3 ECTS – 14 sessions of 90 minutes
Level
Lista predefinida
[education_levels]
Existing Outcomes
Paste existing outcomes or type none
Professional Context
e.g. App developers in Swiss agencies and SMEs
Ejemplo de partida
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...
Cómo funcionan las variables
Sintaxis de variables
Las variables van entre {{ y }} y siguen este patrón:
{{variable name: option1, option2, option3 }}
Variables predefinidas
Una selección puede hacer referencia a una lista de variables predefinida usando corchetes. Aparecen en [naranja] y proporcionan valores de uso común como colores, tonos o idiomas.
{{Tone: [tones] }}
Listas de selección personalizadas
También puedes proporcionar una lista de opciones en línea, separadas por comas.
{{Format: bullet points, paragraphs, numbered list }}
Consejo: ¡no necesitas la app PUCO para usar estos prompts! Solo copia la plantilla y sustituye cada sección {{…}} por tu propio texto directamente en ChatGPT, Claude, Gemini o cualquier otro asistente de IA.