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Final Quiz

My Dashboard Assessment and AI Final Quiz

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Question 1 of 5

1. Question
Which prompt practice most improves outcome alignment for AI outputs?
- Request many items quickly; omit outcomes and level; hope alignment appears somehow.
- State outcomes and Bloom level; request rationales and mapping; specify all details explicitly.
- Use emojis and humour first; align outcomes afterwards briefly; review alignment only.
- Keep prompts very generic; rely mainly on creativity; expect alignment to emerge.
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Question 2 of 5

2. Question
What improves MCQ distractors so they do not telegraph the answer?
- Match grammar and length; target common misconceptions; avoid stock “All of the above.”
- Make the key much longer; signal certainty and authority; cue the answer directly.
- Add silly distractors often; ease completion for novices; reduce fairness and validity.
- Repeat stem phrases verbatim; telegraph correct content subtly; hint the solution indirectly.
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Question 3 of 5

3. Question
Which practice best addresses ethics and transparency with AI support?
- Avoid mentioning AI; reduce confusion risks proactively; keep tool involvement hidden
- Disclose AI assistance; define permitted student uses; enforce integrity policies consistently.
- Allow unrestricted AI use; skip policies and guidance; rely purely on trust.
- Share prompts privately only; hide criteria and rubrics; discourage grade-focused behaviours intentionally.
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Question 4 of 5

4. Question
After generation, what is the safest path toward summative deployment?
- Skip pilot phases entirely; save setup time substantially; move straight to finals.
- Use items immediately summatively; assume sufficiency confidently; treat eigh eye as reliable.
- Replace teacher judgement entirely; automate decisions completely; remove human bias concerns.
- Pilot items formatively first; blueprint coverage thoroughly; moderate and review performance data.
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Question 5 of 5

5. Question
Which requirement ensures items are feasible to deliver and maintain at scale?
- Prefer lengthy essays only; avoid rubrics entirely; reduce marking time substantially.
- Design complex tasks anyway; ignore class size realities; disregard staff resource limits.
- Limit reuse options strictly; maintain a single version; avoid alternates for fairness.
- Plan marking pathways early; auto-grade where valid; provide concise, usable rubrics.
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Course Content

Course Home

Before you begin

AI Tools for Assessment Design

Common Pitfalls of AI-Generated Assessments

Outcome-Alignment Checklist

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