Final Assessment

AI Productivity and Classroom Resources — Final Assessment

Twenty-five questions across the orientation and eight modules — including scenario, prompt-critique, privacy-decision, output-evaluation, assessment-design, accessibility and responsible-use items. Every question explains why answers are correct or incorrect. Pass mark 80%. Attempt again after focused remediation if needed.

1. What is the course's core promise about using AI?

Save time while keeping teaching quality and control.Let AI make teaching decisions.Generate as much as possible, unchecked.Replace lesson planning entirely.

2. Which parts make up a strong teaching prompt?

Purpose, audience, context, constraints, format, quality.Just the topic.The student's name.Nothing specific.

3. What is the most reliable defence against AI fabrication?

Grounding the prompt in a trusted source.A longer prompt.Trusting fluent writing.Using more tools.

4. What is the skilled response to a disappointing AI output?

Diagnose the gap and iterate.Accept whatever it made.Always start over.Give up on the task.

5. What is the correct order in backward design?

Outcome, then check, then aligned activities.Activities first.A random order.Only activities.

6. What must stay the same across differentiated versions of a task?

The learning goal.Nothing.The difficulty for all.The exact wording.

7. Why is labelling a resource 'for weak students' a problem?

It stigmatises learners.It is required.It helps students.It saves time.

8. Why can an all-recall quiz mislead a teacher?

It hides higher-order gaps.It is always best.It measures application.Recall is the only skill.

9. Can you trust an AI-generated answer key without checking?

No — verify every answer yourself.Yes, always right.Yes, if neat.Only for maths.

10. What is a common item-writing flaw to scan an AI quiz for?

Two defensible answers or grammatical clues.A clear single answer.Plausible distractors.A clear stem.

11. What does 'feed-forward' feedback do?

Points to the next actionable step.Only says what was wrong.Gives only a grade.Praises vaguely.

12. From what should AI-assisted feedback always be drafted?

Anonymised work only.The full student record.Names for accuracy.Whatever is fastest.

13. Why must rubric level descriptors be distinct?

To make marking consistent and defensible.Overlap is fine.Descriptors are optional.To make it longer.

14. Why specify tone when drafting a parent email with AI?

Tone shapes trust vs defensiveness.Tone never matters.Only facts matter.AI sets tone alone.

15. Why must AI work only from verified notes for report comments?

Otherwise it invents false achievements.AI knows every student.Notes slow it down.Verification is optional.

16. What is the one thing AI must never do when writing minutes?

Invent an unmade decision.List attendees.Structure the notes.Assign owners.

17. What should every classroom visual do?

Teach or simplify the concept.Look colourful.Fill space.Impress observers.

18. Why should meaning never be carried by colour alone in a resource?

Some learners cannot distinguish colours.Colour is always clear.Labels are unnecessary.Everyone sees colour alike.

19. What does alt text provide?

An image description for screen-reader users.Extra colour.Larger text.Nothing useful.

20. What are the five points of the AI output evaluation checklist?

Accuracy, bias, privacy, inclusion, usefulness.Only accuracy.Colour and length.Speed and polish.

21. Why must review time be counted when measuring if AI saves time?

Fixing time can cancel the saving.Review is always instant.Time never matters.AI has no review cost.

22. A staff member wants to paste a class mark sheet into a public AI tool to write reports. Is this safe?

No — never enter identifiable student data.Yes, to save time.Yes, if the tool is popular.Yes, for older students.

23. An AI worksheet describes 'a poor, uneducated villager'. What evaluation point does this fail?

Bias and fair representation.Accuracy of maths.Font size.Nothing — it is fine.

24. Why must the teacher review even a fluent, well-formatted AI output before students see it?

Fluent is not the same as accurate.Fluent output is always correct.Formatting proves accuracy.Review is optional.

25. What decides whether an AI workflow is worth keeping?

Genuine time saving or quality gain, review included.Whether it feels fast.Whether it is new.Whether others use it.