AI foundations
What generative AI is and what it can and cannot do.
Students need more than prompting skills.
AI literacy means understanding what artificial intelligence can do, what influences its output, why it can fail, how to verify information, and where human judgment remains essential.
Explore CurriculumTen abilities students can practice repeatedly.
Instructions
How prompts, context, format, and constraints shape outputs.
Sources
Where factual information comes from and how source grounding differs from creative generation.
Creation
How generative systems can produce text, images, audio, video, and code.
Verification
Why fluent answers still require evidence and checking.
Limitations
Hallucinations, missing context, uncertainty, and failure modes.
Perspective
Bias, representation, point of view, and framing.
Privacy
What information should not be unnecessarily shared with AI systems.
Responsibility
Safe, ethical, lawful, and classroom-appropriate use.
Human judgment
When people—not AI—must make the final decision.
The interface and expectations should grow with the learner.
AI Explorer
- AI follows instructions.
- AI can create new material.
- AI can be wrong.
- Sources matter.
- Private information deserves protection.
AI Investigator
- Prompt structure and revision
- Fact vs. creative content
- Hallucinations
- Source verification
- Bias and perspective
- Human review
AI Builder
- Context and retrieval
- Model differences
- Evaluation
- Automation
- Multimodal systems
- Responsible deployment
ASK → CREATE → INSPECT → VERIFY → REFLECT
The same sequence can apply to a science story, history film, vocabulary song, or math game. Repetition builds a transferable habit: creation is followed by inspection and judgment.