Most schools are still arguing about whether students should be allowed to touch AI. We think that argument is already over. The tools are in every pocket, woven into search engines, homework apps, and writing software your child already uses. Pretending otherwise doesn’t protect anyone — it just leaves students to figure it out alone, in secret, with no one teaching them the difference between using a tool well and laundering its output as their own work.
So our posture is simple, and it has two halves. First, we teach AI literacy — how to prompt, how to interrogate, how to catch the machine when it lies. Second, we assess in ways AI can’t fake. A student demonstrates understanding out loud, at a bench, defending a real lab notebook and finding a living cell under the microscope in front of a person. There is no prompt that focuses the scope and names the cell parts for you. When the assessment is honest, the studying becomes honest too, and AI turns back into what it should have been all along: a tutor that never gets tired, not a ghostwriter.
The course’s AI posture
We treat AI the way a good science teacher treats any powerful tool in the lab. It is genuinely useful and genuinely capable of leading you astray, and the answer to both facts is the same: instruction, not prohibition. A student who has never been taught how AI fails — how it invents facts, mislabels the parts of a cell with total confidence, gets a food chain backwards, and tells you what you want to hear — is far more at risk in their own learning than one who has been shown exactly where the tool breaks.
Our aim is a student who can sit down with an AI assistant and treat it like a sharp, fast, slightly unreliable study partner: useful for drilling the parts of a cell, useful for re-explaining how a food web works three ways, never trusted on a fact without checking it themselves, and never — not once — allowed to stand in for the thinking the student is supposed to be doing. The line we draw is not about the tool. It is about whose understanding ends up in the work.
Encouraged vs. off-limits
The examples below distinguish help with studying from replacing the student’s work. The teacher should explain what assistance is permitted for each task. Students should be able to describe how they used a tool and check its suggestions.
| ✓ Encouraged | ✗ Off-limits |
|---|---|
| Drilling facts you must know cold — ask AI to quiz you on the parts of a cell, the traits all living things share, or the kingdoms of life until you can recite them without it. | Submitting AI text as your own lab notebook. The notebook is a record of what you observed. Borrowed words describing a pond-water sample you never looked at are a falsified record. |
| Re-explaining hard concepts — have AI explain why plants need sunlight, or what a food web really is, three different ways until one lands. | Having AI write up your observations for you. Pasting your rough notes in and copying out a tidy conclusion, without doing — and understanding — the observing yourself. |
| Checking your own work after you’ve done it — label a cell diagram yourself, then ask AI to check it and explain any mistake. | Copying an answer without checking it. Pasting an AI result into your work without checking whether it actually matches what you observed — it often doesn’t. |
| Summarizing your own notes — paste in your notes on how a food web works and ask AI to summarize, then check whether the summary matches what you meant. | Outsourcing the reasoning. Asking AI for the conclusion of an experiment you were assigned to reason through yourself. |
| Debugging your reasoning — show AI your thinking about why a seedling in a dark closet turned pale and ask where the logic breaks, then judge whether it’s right. | Disguising the source. Editing AI output just enough to hide where it came from, then presenting it as original thought. |
After using AI, put the response aside and try to explain or complete the task yourself. If you cannot, you need more practice or instruction. That difficulty is not itself dishonesty. Presenting someone else’s reasoning or invented observations as your own is a different matter.
Why demonstrations matter
The instructor observes practical work, checks the student's own record, and asks follow-up questions. AI can support conceptual rehearsal but cannot certify what the learner actually did. A polished response or a timed conversation alone does not prove independent work.
Practice with AI; assess the student's science and practical evidence with a person.
Curated prompt library
Use an adult-approved AI tool and follow its age and account rules. These prompts are for practice only: don't upload private records or use them for help on a restricted assessment.
Step 1: Paste the setup and fill in the brackets
Replace each [bracket] with text copied from this course's pages. Paste the text itself, not a link: many AI tools can't open links and may guess what a page says. Copy only what you're practicing, such as one task and its answer. Then start a new chat and paste the setup first. The AI should just reply “Ready.”
You are my Life Science practice coach, not my grader. Unit: [unit number and name] My level: [the level I'm working at, as named on my unit page] What I'm practicing: [the learning target or task] Reference: [the task, data, and answer from my unit page] Rules for you: - Ask one question at a time and wait for my answer. Don't assume I'm wrong. - Check my work against the reference, and accept correct answers. - If something is missing or unclear, ask me. Never make up facts, sources, or observations. - Give one hint before I retry, and don't show me answers I haven't tried yet, even if I ask. If I say I don't know, give me a hint and let me try again before you explain. Never write work I will hand in. - Never give me a score, rubric level, or pass. Only my instructor judges mastery. - Use only made-up or anonymous data. Don't ask for names, contact details, photos, family traits, or private health records. - Don't suggest lab steps, chemicals, cultures, or dissection cuts, and don't give medical, diet, or exercise advice. If I ask about my own health, tell me to ask a trusted adult or a healthcare professional. My instructor approves all hands-on work. - When I say I'm done, stop asking questions. At the end, tell me what I practiced, what I showed I understand, what is still unclear, and one thing to practice next. If I gave you rubric criteria, name each one and say whether my answers covered it yet. Reply only "Ready" and wait for my next message, which tells you what we are practicing.
See a filled-in example
Here is the setup filled in with a real Foundation task from 01 · Characteristics & Needs of Living Things. Copy it to try a chat, then swap in your own unit, level, and task.
You are my Life Science practice coach, not my grader. Unit: 01 · Characteristics & Needs of Living Things My level: Foundation What I'm practicing: comparing Redi's three jar covers by air access and fly access, and explaining why the gauze cover matters Reference: Redi's 1668 meat experiment, as retold on my unit page (cover: containers, air access, fly access to meat, maggots on meat). Uncovered: 2, Yes, Yes, Present. Gauze: 2, Yes, No, Absent. Sealed: 2, No, No, Absent. Answer from my unit page: "Uncovered and gauze admit air but differ in fly contact. That contrast addresses the claim that simply admitting air creates maggots." Rules for you: - Ask one question at a time and wait for my answer. Don't assume I'm wrong. - Check my work against the reference, and accept correct answers. - If something is missing or unclear, ask me. Never make up facts, sources, or observations. - Give one hint before I retry, and don't show me answers I haven't tried yet, even if I ask. If I say I don't know, give me a hint and let me try again before you explain. Never write work I will hand in. - Never give me a score, rubric level, or pass. Only my instructor judges mastery. - Use only made-up or anonymous data. Don't ask for names, contact details, photos, family traits, or private health records. - Don't suggest lab steps, chemicals, cultures, or dissection cuts, and don't give medical, diet, or exercise advice. If I ask about my own health, tell me to ask a trusted adult or a healthcare professional. My instructor approves all hands-on work. - When I say I'm done, stop asking questions. At the end, tell me what I practiced, what I showed I understand, what is still unclear, and one thing to practice next. If I gave you rubric criteria, name each one and say whether my answers covered it yet. Reply only "Ready" and wait for my next message, which tells you what we are practicing.
Next, you would paste Work through data and replace its bracket with the same Redi table.
Where to find each part:
- Unit and level: the course map, and your unit page under mastery rubrics.
- What you're practicing and the reference: your unit page. Copy one task, its data, and its “Check after your attempt” answer for your level.
- Rubric criteria for Check my answer: the rubric table near the end of your unit page. The common misconceptions page can help you spot likely mistakes.
- Demonstration criteria for Rehearse my defense: your demonstration rubric, also under mastery rubrics.
- Source for History connection: the “History, reading, and writing connection” on your unit page. The integration guide shows the anchor for every unit.
Step 2: Pick a prompt
Paste one of these after the setup, and fill in its brackets the same way.
Help me understand
Use it when a passage or idea on your unit page isn't making sense.
Quiz me
Use it when you want to find out what you remember.
Check my notes
Use it when you've written notes or a brain dump from memory and want to find the gaps.
Explain it back
Use it when you know the words but aren't sure how a living system works, or you want to predict an experiment.
Work through data
Use it when you're practicing with a table, graph, or genetics problem.
Check my answer
Use it when you want feedback on a practice answer.
History connection
Use it when you're working on the unit's history, reading, and writing piece.
Rehearse my defense
Use it when you're getting ready to explain your work to your instructor in person.
Step 3: Explain it yourself
Put the AI's answer aside and explain the idea in your own words. Getting something wrong is part of learning, not cheating. Your instructor assesses your work with the real rubric, so double-check anything important the AI told you.
Checking the machine
Check AI responses. An assistant can give an incorrect explanation or an invented citation in confident language. Ask for its reasoning, then compare important claims with a reliable reference or your actual observations. A confident tone is not evidence of accuracy.
So treat every AI claim as a hypothesis, not a verdict. When the machine tells you something, do three things: check the fact yourself, compare it to what you actually observed, and never take a surprising claim about a living thing on faith without looking it up in a real field guide or asking your guide.
- Check the facts. Before trusting any answer, compare it to your textbook, your field guide, or what you saw with your own eyes. AI gets this wrong often.
- Compare it to your observations. A confident answer that doesn’t match what you saw under the microscope is a wrong answer.
- Never take a surprising claim on faith. If AI tells you something new about a living thing, verify it against a real field guide or your guide before you write it down. This is the one place a check is non-negotiable.
A student who leaves this course able to catch the machine has learned something more durable than any single unit of life science: how to think clearly in a world full of fluent, fast, confident voices that are sometimes simply wrong. That’s AI literacy. And it’s why we teach the tool instead of banning it.