AI for Self-Auditing Your Grading for Bias

End-of-lesson check

15 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 core idea behind "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. problem set
   3. Replace the PD designer's judgment about what's worth changing
   4. equity

2. Which term best describes a foundational idea in "AI for Self-Auditing Your Grading for Bias"?

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

3. A learner studying AI for Self-Auditing Your Grading for Bias would need to understand which concept?

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

4. Which of these is directly relevant to AI for Self-Auditing Your Grading for Bias?

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

5. Which of the following is a key point about AI for Self-Auditing Your Grading for Bias?

   1. Analyze de-identified grade distributions across groups
   2. Surface comment-tone patterns across student names
   3. Suggest 3 practice changes to test next quarter
   4. Build a colleague review protocol

6. Which of these does NOT belong in a discussion of AI for Self-Auditing Your Grading for Bias?

   1. Surface comment-tone patterns across student names
   2. Analyze de-identified grade distributions across groups
   3. Suggest 3 practice changes to test next quarter
   4. problem set

7. Which statement is accurate regarding AI for Self-Auditing Your Grading for Bias?

   1. Replace district-level equity work
   2. Stop you from acting on the patterns it surfaces
   3. Prove or disprove individual bias in a single case
   4. problem set

8. What is the key insight about "Try this prompt" in the context of AI for Self-Auditing Your Grading for Bias?

   1. problem set
   2. Replace the PD designer's judgment about what's worth changing
   3. equity
   4. Help me audit my 10th-grade English grading. Use these de-identified grade and comment data [paste].

9. What is the key insight about "Watch out" in the context of AI for Self-Auditing Your Grading for Bias?

   1. Only use de-identified data with general AI. Never paste student names.
   2. problem set
   3. Replace the PD designer's judgment about what's worth changing
   4. equity

10. Which statement accurately describes an aspect of AI for Self-Auditing Your Grading for Bias?

    1. problem set
    2. AI can surface patterns in your grading that hint at bias, but only you can change the daily practice that produces them.
    3. Replace the PD designer's judgment about what's worth changing
    4. equity

11. Which best describes the scope of "AI for Self-Auditing Your Grading for Bias"?

    1. It is unrelated to educators workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on AI surfaces patterns in your grades, but you still do the human work of changing practice.
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about AI for Self-Auditing Your Grading for Bias?

    1. problem set
    2. Replace the PD designer's judgment about what's worth changing
    3. equity
    4. What AI does well here

13. Which section heading best belongs in a lesson about AI for Self-Auditing Your Grading for Bias?

    1. What AI cannot do
    2. problem set
    3. Replace the PD designer's judgment about what's worth changing
    4. equity

14. Which of the following is a concept covered in AI for Self-Auditing Your Grading for Bias?

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

15. Which of the following is a concept covered in AI for Self-Auditing Your Grading for Bias?

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