AI Literacy Curriculum for Every Classroom
aiEDU's curricular resources meet students where they are — from elementary school explorations to high school deep dives — with flexible, standards-aligned materials that work across all content areas. Our curriculum ecosystem is designed to integrate into existing instruction, not compete with it.
Short, engaging exploration activities that introduce foundational AI concepts to elementary students. No prior AI knowledge needed — for students or teachers. Each exploration is hands-on, discussion-driven, and designed to be accessible across subject areas.
Students sort everyday technologies into "AI / Not AI," explain their reasoning, and collaborate to write a simple classroom definition of AI.
View sample Exploration
Students discover that if an AI system only "learns" from a narrow set of examples, it may fail to recognize other people — then they explain what was missing and how to improve the data.
View sample ExplorationSnapshots are quick, discussion-based activities that build AI literacy inside existing subjects — no dedicated AI class required. They're designed to be picked up by any secondary teacher and dropped into a lesson with minimal prep.
Students examine how AI companion platforms are adding age restrictions and safety safeguards, then debate whether AI companions are more harmful or helpful for users under 18.
View sample Snapshot
Students examine an AI response that is clear and confident but lacks sources, then determine how to verify whether the information is trustworthy before using it in their work.
A teacher-facing resource supporting AP Computer Science Principles instructors in integrating AI literacy into their AP CSP courses — with activities, discussion guides, and project ideas aligned to the AP CSP framework.
Sample activities from the AP CSP SmartTeach Manual will be available here shortly.
A menu of structured, inquiry-based AI projects organized by subject area and audience — with options for general electives and dedicated AP Computer Science Principles courses. Each project guides students through investigating an AI topic in depth, connecting it to real-world context, and producing a shareable artifact or presentation.
Students investigate how AI-generated deepfakes are created and how they can influence public opinion, then develop a press release to inform a real audience about the benefits and risks of deepfakes.
A structured 10-week course for high school students that develops AI literacy with real-world scenarios and hands-on application. Designed for tech and CS teachers looking for a substantive, project-driven curriculum.
Sample lessons from the Introduction to AI Course will be available here shortly.