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How-to guide

How to review AI-generated content before students see it

Nothing a student sees should be there because a machine said so. Here is a routine for working through the review queue quickly, and what each control does.

AI makes mistakes. ClassSense runs its own quality checks, but they measure things like item count and answer balance, not whether a fact is true. You are the final check, and no setting changes that.

Reviewing is the price of getting lessons from your own material in minutes. It is also the part that makes the result yours. The routine below keeps it to a manageable job: a few minutes per pack, not a rewrite.

Where the queue is

Open the course and go to the Skill Packs tab. The tab name shows a count when something is waiting, for example "Skill Packs (3 pending)". Each row shows the title, the Bloom level, the estimated minutes and a quality percentage, plus a status:

The quality percentage is an average of six checks: content completeness, difficulty spread, answer balance, item count, explanation length and misconception coverage. It tells you the pack is complete and balanced. It does not tell you the content is right. Read the auto-published ones too, at least the first time.

A routine that takes minutes, not hours

1

Open one pack

Click its row. You see the learning objective, then the explanations, the misconceptions and the Assessment Items.

2

Does it match what you teach?

Check the objective and the three explanations against your source. Is anything you did not say, or said differently?

3

Do the questions yourself

Work each Assessment Item before you look at the ticked answer. Then compare. This is the quickest way to catch a wrong key.

4

Decide

Press ✓ Publish or ✗ Reject. These buttons appear only on packs waiting for you.

The detailed checks for facts, units, keys, distractors, reading level and bias are in how to check AI lessons for errors. Use that page as the checklist while you work through these steps.

What the controls do

There is no edit box inside a pack. If one question is wrong but the rest are good, you have a choice: publish and tell students to skip it, or reject the pack. Neither is perfect, and it is worth knowing before you start. If you want a printable version without the pack, the quiz from a PDF guide shows that route.

Reject without guilt

A pack on a topic you will not teach, a repeat of another pack, or one built from an appendix: reject it. Your course is better with eight good packs than ten uneven ones. You can also upload a unit again in smaller files if the first pass was too broad.

Order your review by risk

  1. Packs with numbers, formulas or dates, since arithmetic and units are where errors cluster.
  2. Packs with pictures.
  3. Packs on topics where you know students hold a misconception, so you can judge the misconception list.
  4. The rest.

Once students are working, the Students tab shows you where real answers disagree with your expectations. A question nearly everyone misses is as likely to be a bad question as a hard idea, so open it. See how to read mastery data.

Common questions

Do I have to review every skill pack?

Packs that pass the automatic quality checks are published for you, so you are not forced to. Because those checks cannot confirm facts, we suggest reading each pack at least once.

Can I edit a question inside a pack?

There is no edit box in the pack screen. You can publish it, reject it, remove a picture, or change the order of packs.

What happens to a rejected pack?

Students do not see it. It stays in your Skill Packs list with a rejected status.

How long does review take?

It depends on the pack. A few minutes each is a realistic aim if you work the questions yourself before reading the key.

Start with one unit you already teach.

Upload it, see what comes back, and decide for yourself. Your first 30 days are free, then nineteen dollars a month with unlimited students.

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