AI Professional Development for Teachers Quiz

Answers and explanations appear as you take the quiz.

1. 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
2. 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
3. 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
4. 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
5. Which organisation published an AI competency framework for teachers in 2024?
   • The Federal Reserve
   • UNESCO
   • The World Health Organization
   • The International Olympic Committee
6. 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
7. 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
8. What is the benefit of a shared, searchable prompt library?
   • It replaces the need for any training
   • 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