Module Assessment

1.

You use an AI tool to generate ten discussion questions for a novel your class is reading. The questions cover a range of thinking levels and look solid. You plan to copy them directly into tomorrow's lesson without reading through all of them first. Students will use them independently in small groups. Should you use AI in this scenario?

Yes. This is a great example for when to use AI.

No, you shouldn't use AI as described. You should confirm accuracy and provide transparency to your students before sharing.

It's fine for this classroom activity, but I would verify it before using AI for something like an exam.

2.

A teacher generates a set of exit ticket prompts using AI. They read through them, make two small edits for clarity, and use them in the lesson. The teacher doesn't tell students that AI helped create the prompts. Later, a student asks where the questions came from, and the teacher says they wrote them. Which responsible use principle did the teacher fail to apply?

Verification—the teacher didn't review the AI output before using it.

Attribution—the teacher misrepresented the origin of the content when directly asked.

Privacy—the teacher included student information in the AI prompt.

Access and equity—some students couldn't access the AI-generated prompts.

3.

A student struggles with paragraph structure. You want to paste their last writing sample into an AI tool to get specific feedback suggestions to share in a conference. Which decision questions apply to this situation?

Privacy—Does this involve student data or identifying information?

Verification—Will I review the feedback before students use it?

Attribution—Will I be honest about how the feedback was made?

Equity—Could any feedback disadvantage or exclude some students?

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