Most lessons about AI and schoolwork are a warning. Four complete days on what a student actually needs the day a teacher's rule mentions AI: read the rule for this class, cite what a chatbot gave them in current MLA format, write a disclosure statement that names the tool, its purpose and their own part, and show their work is theirs when a detector flags it. The lessons run on paper, and the online games are optional.
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Short browser games that practice each day's lesson with new examples. Students play on a computer or tablet, with no account and nothing to install. Use one with the lesson or instead of the paper activity.
See the games→Most lessons about AI and schoolwork are a warning. This one teaches four skills a student actually needs the day a teacher's rule mentions AI. Day 1 reads the rule. A policy holds a course's rules, a guideline holds one assignment's, and most rules sort uses into permitted, prohibited and a gray area, so the same use can land differently in two classes. In a gray area, students name the exact use and the assignment, and ask in writing.
Day 2 gives credit. A chatbot's exact words and its ideas put in a student's own words both get cited, practiced in the MLA pattern from the August 2025 update, and a citation gives credit without checking any facts. Day 3 turns a record of the work into a disclosure statement with three parts: the tool, its purpose and the student's own contribution. Day 4 is the day someone asks. A detector score is a guess, not proof, and notes, an outline, drafts and version history together make the case.
No real chatbot, company or detector is named on a student page. The citation practice uses an invented chatbot, StudyBot, from an invented maker, Brightline Labs. In every practice case the teacher allows the AI use described, so citing and disclosing are never mistaken for permission. Everything follows the same open-and-teach folders as the rest of the line: 00 Start Here / 01 Present / 02 Student Handouts / 03 Scenarios / 04 Activities / 05 Assessment / 06 Answer Keys.
Isaiah wrote his history essay over a week without using AI, and a detector scored it 92 percent likely AI. His teacher wants to meet, and he has two days to get ready. The page prints one section of the school's AI policy, which says a detector score alone is not enough to decide, and what Isaiah has: library notes with page numbers, a version history with changes on six different days, and a first draft he marked up by hand. Students say what the score shows and doesn't show, which two things he should bring, and what he can do next under the policy. Two pages, three questions and 6 points, with a key that gives what to look for, a model response and what to accept or reject.
One slide or page from four real files in the download, exactly as they appear.
Twelve or thirteen slides a day, low text, with the icons and layouts built as real shapes rather than flat images. The speaker notes say what to point to and what to say, and every deck also comes as Google Slides.
Two pages per day, following the slides in order, with that day's ten terms in a word bank on the page. Editable Word and print-ready PDF, and every one has a complete key.
Two long-form cases, two pages each. Every person, school and policy in them is invented. Students read the policy and the evidence printed on the page, then answer three questions in one or two sentences each.
Three made-up teachers' AI rules print at the top of the sheet. For each use, students circle permitted, prohibited or gray area and write the words in the rule that decided it. The last question asks for the exact question to send the teacher about the gray area.
It teaches what a student actually does the day a rule mentions AI: read the rule, cite what a chatbot gave them, say what the tool did, and show their own process.
Day 4 teaches why a detector score can't settle who wrote something, and how notes, an outline, drafts and version history make the case together. It never teaches students to beat a detector.
Every written question ships with what to look for, a model response, and what to accept or reject. Every activity item has a sample answer and a rule for the point.
No student opens a chatbot or makes an account. Every person, school, class rule and chatbot is invented, and the only real things a student page names are the citation style guides.
The AI Help Desk, Chat History Hunt and Rewind practice Days 1, 2 and 4 with new cases, in the browser on a computer or tablet, with no account.
Print-ready PDFs, every deck in PowerPoint and Google Slides™, and five self-grading Google Forms™ for the quiz and all four exit tickets.
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Leave a reviewInstant download right after checkout. You get editable PowerPoint and Word, print-ready PDF of everything, and the copy links for the five self-grading Google Forms™ and the four Google Slides™ decks.
No. The READ FIRST guide says so plainly: it teaches students how to use a tool honestly and how to show that they did. It never teaches students to beat a detector. Day 4 is about evidence of process, and the two research findings behind it print in the teacher guide with their sources and limits.
Yes. Your school's own AI policy wins over anything in the unit, and the READ FIRST guide says to read it before you teach Day 1. The unit teaches students to follow the rule for their class and their assignment, and to ask first in a gray area. In every practice case the teacher allows the AI use described, and the sheet says so.
The MLA pattern from the August 2025 update: the prompt where the title goes, then the tool, version, company, date and link, with a short pointer in the sentence that leads to the Works Cited entry. The practice chatbot, StudyBot, and its maker, Brightline Labs, are invented, and the sheet says so.
No. No activity asks a student to open a real chatbot, sign up for anything or type a prompt into a live product. Every chatbot answer and every rule in the unit was written for it, and no student page names a real company or product. The only web addresses printed are the Google Forms and Google Slides copy links and the online games' short links.
On this site, at /activities/ai/classroom. The unit has three: The AI Help Desk on Day 1 (about 6 to 9 minutes), Chat History Hunt on Day 2 (about 7 to 9 minutes) and Rewind on Day 4 (about 6 to 9 minutes). Day 3 has none on purpose, because writing the note on paper is the practice. Each game's short link prints on its day's activity sheet and at the top of its answer key, and the teacher guide lists all three. They play in the browser on a computer or tablet, with no account, and they aren't made for phones. Use a game in addition to the lesson or instead of that day's paper activity. If a game replaces the activity, grade that day by its exit ticket.
It sits after the four lessons, not inside them. The quiz is about 25 minutes and all four periods are full lessons — the pacing check measures 42, 38, 37 and 39 minutes of work in a 45-minute period. Run it as a Day 5 in class or set it as a take-home with the self-grading Google Form. Either way you already have a grade for every student from the four exit tickets.
Teach Days 1, 3 and 4. Day 2 adds formal citation, which matters most in classes that use MLA. If you skip it, use the exit tickets for Days 1, 3 and 4 as the check, or leave out quiz questions 6 to 10 and 22 and grade the quiz out of 21 instead of 28.
Most of its codes are Common Core reading and writing standards: RI.9-10.1 on Day 1, W.9-10.8 on Day 2, W.9-10.4 and W.9-10.8 on Day 3, and W.9-10.1 on Day 4, each with its 11-12 equivalent. Day 4 also maps to two codes from the 2026 CSTA computer science standards, HS-ALG-PS-05 and S1-AIN-HR-09. Every code was checked against its official wording, and page 2 of the Skills Map has a ready-to-paste prompt for your own state's standards.
Yes. The Artificial Intelligence Unit Bundle holds this unit and five more — 25 teaching days and 254 files in one download, for less than buying them one at a time.