A teacher guide for the culminating Grade 8 AI Literacy lesson. Includes instructional steps for facilitating a "Design Studio" project, 5D+ framework alignment, and strategies for peer-led ethical audits.

A project blueprint for Grade 8 students to design a responsible AI solution for a real-world problem. It includes sections for problem identification, technical design, an ethical audit (bias and safeguards), and a creative motto.

A 6-slide presentation for 8th Grade students on responsible AI design. It encourages students to move from consumers to creators ("Architects") and outlines a framework for designing AI solutions that are fair, transparent, and safe.

A teacher guide for the Grade 7 AI Literacy lesson on ethics and privacy. Includes instructional steps for facilitating debates on surveillance, alignment with 5D+ framework, and strategies for teaching deepfake awareness.

A worksheet for Grade 7 students to explore AI ethics. It includes a pro-con analysis of facial recognition in schools, strategies for detecting deepfakes, and a reflective exercise on personal data privacy boundaries.

A 6-slide presentation for 7th Grade students on AI ethics and privacy. It covers facial recognition, deepfakes, and the trade-off between security and personal privacy, encouraging students to consider where "the line" should be drawn.

A teacher guide for the Grade 6 AI Literacy lesson on LLM mechanics. Includes instructional steps for teaching tokenization and probability, 5D+ alignment, and discussion prompts on AI creativity.

A worksheet for Grade 6 students to practice LLM concepts. It includes exercises on tokenization, assigning probabilities to word predictions, and experimenting with "temperature" settings for safe vs. creative outputs.

A 6-slide presentation for 6th Grade students on the mechanics of LLMs. It explains tokenization, next-word prediction based on probability, and the "temperature" setting that balances precision with creativity.

A teacher guide for the Grade 5 AI Literacy lesson on datasets and bias. Includes instructional steps aligned with 5D+, key discussion points on algorithmic fairness, and guidance for the "Balanced Buffet" activity.

An activity for Grade 5 students to explore dataset bias and fairness. It includes a case study on a sports recognition AI, a diversity checklist for data collection, and a creative section for designing a more equitable dataset.

A 6-slide presentation for 5th Grade students on datasets and algorithmic bias. It uses a "cooking/ingredients" metaphor to explain how training data influences AI behavior and why diversity is essential for fairness.

A teacher guide for the Grade 4 AI Literacy lesson on truth evaluation. Includes strategies for teaching the concept of "hallucinations," 5D+ instructional steps, and tips for facilitating the fact-checking activity.

A worksheet for Grade 4 students to practice identifying AI hallucinations. It includes a "spot the error" historical passage, fact-checking strategy development, and a reflective motto-building exercise.

A 6-slide presentation for 4th Grade students on AI hallucinations. It defines hallucinations, explains why AI makes mistakes (word-guessing vs. knowing), and provides strategies for fact-checking AI outputs.

A teacher guide for the Grade 3 AI Literacy lesson on prompt power. Covers the "Blind Artist" game, instructional strategies for teaching prompt formulas, and assessment questions.

A worksheet for Grade 3 students to practice prompt engineering. It includes activities for upgrading weak prompts, reverse-engineering prompts from images, and designing a creative prompt for an AI-generated book cover.