The comprehensive K-12 AI literacy curriculum scope and implementation guidelines for district-wide alignment.
Teacher's answer key for the updated Rock Solid Density Practice Worksheet, including 3 significant digit rounding for all answers and measurement guidance.
An updated 9th-grade physics worksheet on density. It adds specific practice for reading beakers (labeled every 20mL, lines every 10mL) at the meniscus, requires rounding to 3 significant digits for all calculations, and maintains the chocolate bar conceptual analogy.
Teacher's answer key for the Rock Solid Density Practice Worksheet, including sample conceptual responses and step-by-step calculation results.
A 9th-grade physics worksheet on density, mass, and volume. It features conceptual analogies involving a chocolate bar breakdown, a percent error lab analysis table for basalt and granite, and four practice calculation problems.
A teacher answer key for the Truffula Tragedy worksheet, providing correct responses, explanations, and a scoring guide for the short answer question.
A comprehensive video guide worksheet for high school environmental science students to complete while watching 'The Lorax', focusing on ecosystem services, biodiversity loss, and sustainability.
A comprehensive teacher professional development guide including essential AI concepts, facilitation strategies, and quick-reference prompt cheat sheets.
A high school activity sheet requiring students to apply the CO-STAR prompt engineering framework, map industry impacts, and draft ethical AI policies.
Advanced slide deck for high school students exploring generative AI paradigms, professional prompt engineering frameworks (CO-STAR), and the future of work.
A middle school activity sheet involving ethical analysis of recommendation engines, labeling neural network structures, and debating facial recognition bias.
A middle school slide deck focused on the technical basics of neural networks and the ethical challenges of recommendation engines and deepfakes.
A grade 3-5 worksheet focusing on analyzing AI bias scenarios and practicing prompt engineering using a structured 'Role + Task + Detail' framework.
