Ask It Clearly
Two friends asked an AI about the same thing. One asked a fuzzy question and got a fuzzy answer. The other asked clearly and got just what they needed. Crack four locks to learn how to ask an AI a good question.
The premise
The question you ask an AI is called a request. A clear, specific request gets a better answer than a vague one. Say your topic, how long you want it, and who it is for. If the answer is off, ask again more clearly. Read the clues, then open all four locks. Each lock has a reason that shows why the answer is right.
How this breakout builds CLEAR thinking
Every Critical Thinking Online Breakout runs on the CLEAR process — Claim, Lens, Evidence, Alternatives, Response (full framework). Here is where students practice each step in this activity:
- Claim — for each lock, decide what answer it is really asking for, and make it specific.
- Lens — notice what you already assume before you choose.
- Evidence — weigh the six clues; “Volcano Fact” is true but off-topic, so it is not evidence for any lock.
- Alternatives — the multiple-choice and multi-select locks force a comparison of competing options.
- Response — the reason revealed after each lock models the justified answer to act on.
Standards alignment
Aligned to Texas TEKS Technology Applications, Grade 5, §126.10 — the AI-adjacent strands (Computational Thinking; Creativity & Innovation; Data Literacy; and Practical Technology Concepts), subsections (c)(2). Skills are paraphrased; read the official standard at tea.texas.gov. This page shows the reasoning focus of each lock — not the answers.
| Lock | Reasoning focus | TEKS substrand |
|---|---|---|
| Lock 1 Fuzzy or Clear |
Fuzzy or Clear | (c)(2) Computational Thinking — Applications |
| Lock 2 The Missing Word |
The Missing Word | (c)(2) Computational Thinking — Applications |
| Lock 3 Ask It Clearly Habits |
Ask It Clearly Habits | (c)(2) Computational Thinking — Applications |
| Lock 4 Fix a Fuzzy Question |
Fix a Fuzzy Question | (c)(2) Computational Thinking — Applications |
In the classroom
- Warm up (5 min). Ask: “Ask Like a Pro” — what does this mean when working with AI? Surface prior experience before the activity.
- Model one clue. Open a single clue together and think aloud: what does this tell us, and which lock might it help?
- Reason, don’t guess. Require students to say why before checking a lock. After each solve, read the revealed reason and compare it to their thinking.
- Spot the decoy. One clue is true but useless. Debrief which one and how they knew — a core evaluation skill that mirrors judging an AI’s output.
- Language support. The 🌐 picker offers 7 languages; pair newcomers to discuss clues in their home language, then answer.
- Extend. Have students find (or safely describe) a real example of the focus skill — a biased result, a hallucination, a good prompt — without using any real product’s screenshots.