AI for Faculty Meeting Facilitation

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-faculty-meeting-facilitation-final7-adults

1. Where does AI add the most value in meeting design?

   1. Generating slogans
   2. Saving time on logistics so energy goes to conversations that move teaching practice
   3. Selecting room temperatures
   4. Picking lunch

2. Which protocol-related task is AI well suited for?

   1. Building trust between colleagues
   2. Knowing your faculty's history
   3. Suggesting protocols matched to your stated goal
   4. Replacing facilitation skill in the room

3. Which artifact is reasonable to ask AI to draft?

   1. A relationship between two staff members
   2. A teacher's classroom presence
   3. A union contract
   4. An agenda with timing

4. Which is appropriate to ask AI for given school data?

   1. Discussion questions tied to that data
   2. A staff member's home address
   3. A list of students to fail
   4. A petition

5. What kind of summary can AI reliably produce after a meeting?

   1. A telepathic record of what people felt
   2. A post-meeting follow-up summary
   3. A guarantee of follow-through
   4. A list of who is wrong

6. What is AI explicitly bad at in this context?

   1. Drafting an agenda
   2. Suggesting protocols
   3. Building trust between colleagues
   4. Generating discussion questions

7. Why won't AI know your faculty's history?

   1. Because AI cannot read
   2. Because faculty don't exist
   3. Because history is illegal
   4. That history lives in people's memories and informal context, not the prompt

8. What is the right framing for AI's role in the room?

   1. A planning aide before; the facilitator owns the room
   2. A replacement for the facilitator
   3. A microphone
   4. A timekeeper only

9. What's a good prompt structure for protocol selection?

   1. 'Make my meeting good'
   2. Describe goal and time available; ask for three protocols with pros and cons
   3. 'Pick one'
   4. 'Be a teacher'

10. Why is mass-generated, compliance-style PD a bad use of AI?

    1. Compliance PD is illegal
    2. AI refuses to write it
    3. Adults can tell when content is hollow and check out
    4. It's too short

11. Which is the principle behind 'design meetings teachers want to attend'?

    1. Add more meetings
    2. Use longer slides
    3. Hide the agenda
    4. Respect adult learners' time and intelligence

12. What's the right way to use AI's pros/cons output for protocols?

    1. As a starting point for your judgment, not the final answer
    2. As mandatory
    3. As gospel
    4. As decoration

13. When should you trust the AI's protocol suggestion most?

    1. Always on the first use
    2. When you have field-tested it once and it fit your faculty
    3. Never
    4. Whenever it's the longest

14. What's a healthy follow-up after each meeting?

    1. Skip summaries
    2. Send raw transcript only
    3. Have AI draft the summary; the facilitator edits and sends
    4. Hide the outcome

15. Which mindset best fits AI for meeting design?

    1. AI handles everything
    2. Humans handle everything alone
    3. Skip meetings entirely
    4. AI handles the scaffolding; humans handle the substance