Kritisiert bestehende Lernergebnisse eines Kurses und schlägt einen überarbeiteten, überprüfbaren Satz mit Bloom-Stufe vor.
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).
e.g. Mobile App Development with SwiftUI – 3 ECTS – 14 sessions of 90 minutes
[education_levels]
Paste existing outcomes or type none
e.g. App developers in Swiss agencies and SMEs
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...
Variablen sind in {{ und }} eingeschlossen und folgen diesem Muster:
Eine Auswahl kann auf eine vordefinierte Variablenliste per eckige Klammern verweisen. Diese erscheinen in [Orange] und bieten häufig verwendete Werte wie Farben, Töne oder Sprachen.
Du kannst auch eine durch Kommas getrennte Inline-Liste mit Optionen angeben.
Tipp: Du brauchst die PUCO-App nicht, um diese Prompts zu verwenden! Kopiere einfach die Vorlage und ersetze jeden {{…}}-Abschnitt direkt in ChatGPT, Claude, Gemini oder einem anderen KI-Assistenten durch eigenen Text.