A Semester of AI Literacy for Grades 7–10
A Semester of AI Literacy for Grades 7–10
If you have been given a one-semester AI or digital literacy elective, this page shows how to build it from two bundles: AI Literacy & Cybersecurity Activities as the core, with the Computer Science Activities Bundle if you need more weeks of material. Below is a suggested semester outline you can adapt. The products themselves do not contain a calendar.
Start with the AI literacy coreFor a one-semester AI literacy course in grades 7–10, AI Literacy & Cybersecurity Activities ($69.99) supplies the core topics: how AI works, prompting, evaluating AI-generated content, phishing, personal information and privacy. For a fuller semester, the Computer Science Activities Bundle ($119.99) adds 10 units and 30 lessons, including recommendation algorithms, data privacy and Python. Neither product includes a calendar, so the teacher sets the pacing.
The resources
AI Literacy & Cybersecurity Bundle, Grades 7–10
Start with the first resource; the others are optional add-ons. Open any cover for the full contents and price.
AI Literacy & Cybersecurity Activities | Artificial Intelligence, Prompt Engineering & Online Safety | Grades 7–10
Computer Science Activities Bundle | Artificial Intelligence, Python Programming, Cybersecurity & Digital Literacy | Middle School Grades 7–10
How Artificial Intelligence Works – Computer Science Unit (Grades 6–9)
Working with AI Tools and Prompting – Computer Science Unit (Grades 6–9)
Teach-Life-Balance: The Complete Time-Saving Course for Teachers (incl. Planner, Guides & Templates)
The real problem
Why a semester is harder to fill than it looks
A semester sounds generous until you plan it week by week. AI literacy material is easy to find in single lessons and hard to find as a sequence that builds. Without a structure, a course turns into a loose set of interesting activities: one day on chatbots, one on deepfakes, one on privacy, with no thread pulling them together. Students finish with opinions but not understanding. A semester elective also needs variety. Eighteen weeks of discussion on the same theme wears thin, so you need reading, case studies, practical tasks and some project work. And you need a reason for the order. Students should understand roughly how AI works before they judge its output, and they should understand data before they talk about privacy. Finally, the course has to hold up if an administrator asks what students learned. That means clear topics, checkable work and some form of assessment. Planning all of that from scratch, alongside your other classes, is the real cost of a new elective.
Why it fits
How the bundles support a semester
Used together, the two products give you both a core sequence and enough extra units to fill the weeks.
- The AI literacy bundle covers the core sequence: how AI works, prompting and evaluating AI content.
- Its phishing, personal information and privacy topics give the semester a safety strand.
- The Computer Science bundle adds recommendation algorithms and filter bubbles, a strong mid-semester topic.
- Data privacy, cryptography and binary units deepen the course for classes that move quickly.
- Project-based learning in the Computer Science bundle supplies material for an end-of-semester project.
- Answer keys and differentiated instruction help you assess and support a mixed elective group.
Getting started
A suggested semester outline
This outline is a suggestion based on the topics in both products. Expand or shorten each block to fit your weeks.
- Block 1: How AI worksOpen the semester with the how-AI-works activities. Spend enough time that students can explain training data and prediction in their own words, since every later block depends on it.
- Block 2: Prompts and AI outputMove to prompt writing and evaluating AI-generated content. Students practice improving prompts and fact-checking answers, building a checklist they keep for the rest of the course.
- Block 3: Algorithms around usIf you own the Computer Science bundle, teach recommendation algorithms and filter bubbles here. It shows students AI they meet daily without typing a single prompt.
- Block 4: Data, privacy and safetyTeach personal information, phishing and privacy. With the larger bundle, add data privacy and cryptography to explain how information is protected in practice. Students finish the block with a privacy checklist.
- Block 5: Project and reviewClose with a project, drawing on the project-based learning in the Computer Science bundle or a case study task, plus a review of the checklist from Block 2.
What to buy
One bundle or both for a semester
If your semester meets only a few times a week, AI Literacy & Cybersecurity Activities at $69.99 may be enough on its own, especially with long discussions and a project. For a daily elective, buy the Computer Science Activities Bundle at $119.99 as well, or instead: its 10 units and 30 lessons include AI literacy and prompt engineering alongside recommendation algorithms, data privacy, cryptography and Python. If you only need to fill a gap, How Artificial Intelligence Works or Working with AI Tools and Prompting are $24.99 each. Teach-Life-Balance ($89.90) can help with planning a new course.
Honest limits
What you still have to supply
Neither bundle contains a semester calendar, a syllabus document or a gradebook. You build the schedule, using the outline above as a starting point. No software, devices or AI accounts are included; any hands-on work uses what your school already has, and the Python unit in the larger bundle needs whatever Python setup your school provides. Check the content against your course description and any local requirements. Team use needs a short message to Teach Lessons first. If the material does not suit your course, you can exchange it within 7 days for store credit of equal value.
Good to know
Frequently asked questions
Does this semester plan meet state or national standards?
No standards alignment is claimed, and no organization endorses these products. Both are written for grades 7–10. If your elective has to show coverage of specific standards, map the topics yourself once you have the files, and check the result with whoever approves your course.
Is the semester outline part of the product?
No. The outline on this page is a suggestion built from the topics each product covers. The products supply activities and units, not a dated calendar, so you decide how many weeks each block takes. Use the five blocks above as a draft and adjust them once you know how many class meetings your semester has.
Is the $69.99 bundle enough for a full semester?
That depends on how often your class meets and how much discussion and project time you plan. For an elective that meets daily, most teachers will want the Computer Science Activities Bundle as well, because it adds many more lessons. A class meeting two or three times a week may manage with the smaller bundle plus a longer final project.
Do I need both products if I buy the larger bundle?
The Computer Science Activities Bundle already includes AI literacy, prompt engineering, cybersecurity and data privacy among its units. Compare the two topic lists on the product pages before buying both, since there is overlap. If you buy only the larger bundle, you still get the AI literacy and safety strands described in this outline.
How do I grade a semester of AI literacy?
Use the answer keys for checkable tasks and a project for a larger grade. The Computer Science bundle includes project-based learning you can adapt. Weight discussion and reflection the way you would in any elective. A short checklist quiz after Block 2 and a project at the end give you grades without testing every lesson.
Could this run as a full-year course?
Combined with the full Computer Science bundle, including its Python, networks and binary units, you have more material to draw on. Still, the products do not claim to fill a year, so plan carefully before committing to a full-year course. For a full year, you would likely need more programming or project time than the semester outline here assumes.
Plan your semester from a solid core
Open the product page to see the full topic list, then sketch your blocks around it.
Start with the AI literacy core