Cuestionario vinculado a una guía · Medio Nivel
Cuestionario sobre desarrollo profesional de IA para profesores
Prueba cómo ordenar las habilidades de IA de los docentes, realizar sesiones prácticas de "traer, probar, criticar, comprometerse" y mantener la capacitación en IA con seguimiento.
Pregunta 1 de 8
According to research on teacher learning, what kind of training works best?
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- According to research on teacher learning, what kind of training works best?
- A single expert lecture at the start of the year
- Training tied to the subject, hands-on, collaborative and sustained over time
- Self-paced videos with no discussion
- Training focused mainly on product features
- What skill area comes first in the guide's suggested order?
- Basics, including how language models predict text and can state errors confidently
- Advanced prompt engineering for grading
- Buying school-wide AI licences
- Designing AI-proof assessments
- What does the data privacy and policy step cover?
- How to make AI tools run faster
- Which subjects benefit most from AI
- How to write student report cards
- Approved tools, student information that must never be entered, and laws such as FERPA
- In the 'bring, try, critique, commit' design, what do teachers bring?
- A laptop with AI already installed
- A list of complaints about AI
- A real piece of their own work, such as a unit plan or rubric
- A signed permission form
- Which organisation published an AI competency framework for teachers in 2024?
- La Reserva Federal
- UNESCO
- The World Health Organization
- The International Olympic Committee
- Why should facilitators set up tool accounts before a session?
- Accounts expire after an hour
- Teachers are not allowed to create accounts
- Tools only work with pre-made accounts
- Sign-up problems eat session time
- How does the guide say success should be measured?
- By what changes in lessons and student work
- By how many teachers attend
- By the number of AI tools purchased
- By how quickly the policy document was written
- What is the benefit of a shared, searchable prompt library?
- Sustituye la necesidad de cualquier formación.
- It lets the AI learn each teacher's grading style
- Progress spreads across a department instead of staying with early adopters
- It prevents students from using AI