Ideal para
- Começar a partir de um prompt estruturado e reutilizável em vez de um chat em branco.
- Adaptar o prompt aos seus próprios dados, mantendo intacta a intenção original.
- Fluxos de trabalho relacionados com Education & Academic, Educators.
Audita um curso para verificar o alinhamento construtivo entre resultados, atividades de aprendizagem e avaliações.
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.
As variáveis ficam entre {{ e }} e seguem este padrão:
Uma seleção pode fazer referência a uma lista de variáveis predefinida usando colchetes. Aparecem em [laranja] e fornecem valores comuns, como cores, tons ou idiomas.
Também pode fornecer uma lista de opções em linha, separadas por vírgulas.
Dica: não precisa da app PUCO para usar estes prompts! Basta copiar o modelo e substituir cada secção {{…}} pelo seu próprio texto diretamente no ChatGPT, Claude, Gemini ou qualquer outro assistente de IA.