AI for Self-Auditing Your Grading for Bias

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-educators-ai-grading-bias-audit-r13a5-adults

1. What is the main idea of "AI for Self-Auditing Your Grading for Bias"?

   1. AI surfaces patterns in your grades, but you still do the human work of changing practice.
   2. Use AI as the final authority for the whole decision
   3. Avoid checking the answer once it sounds polished
   4. Focus only on speed instead of judgment

2. Which concept is most central to "AI for Self-Auditing Your Grading for Bias"?

   1. self-audit
   2. equitable grading
   3. bias
   4. feedback patterns

3. Which use of AI fits this topic best?

   1. Prove or disprove individual bias in a single case
   2. Let the AI decide what matters without your review
   3. Analyze de-identified grade distributions across groups
   4. Use the answer before checking whether it fits the situation

4. Which limitation should you watch for in this topic?

   1. Analyze de-identified grade distributions across groups
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Prove or disprove individual bias in a single case

5. What should a careful learner remember about "Try this prompt"?

   1. Use "Try this prompt" as a reminder to verify the AI output before anyone relies on it.
   2. Skip the context so the tool can guess faster
   3. Treat the output as private even after sharing it online
   4. Use the answer without checking the source

6. You want to use AI after this lesson. What is the safest next step?

   1. Act immediately because the AI answer is written clearly
   2. AI cannot replace teacher judgment, student privacy duties, or school policy.
   3. Hide uncertainty so the final answer looks cleaner
   4. Use private or sensitive details before checking permission

7. How should AI output about equitable grading be treated?

   1. As proof that no other source is needed
   2. As a replacement for context, consent, or expert review
   3. As a draft or helper output that still needs human judgment and verification
   4. As something that becomes correct when it sounds confident

8. Name one way to verify an AI answer about equitable grading.

9. Which action would help you apply "AI for Self-Auditing Your Grading for Bias" responsibly?

   1. Replace district-level equity work
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Surface comment-tone patterns across student names

10. Which choice is a bad use of AI for this lesson?

    1. Replace district-level equity work
    2. Analyze de-identified grade distributions across groups
    3. Ask for a plain-language explanation of self-audit
    4. Compare the answer with a trusted source