Percent Increase and Decrease Quiz
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02_ Horticulture & Agriculture Vocational English – Soil and Soil Types
🌿 English for Landscape Gardeners – Module 2: Soil and Soil Types 🚜 Equip your students with the professional English they need for the green industry! This module focuses on Soil Science, blending technical landscaping knowledge with essential language skills for vocational training (CLIL/ESP). From the Soil Ribbon Test to the Soil Texture Triangle, this material covers the practical skills landscape gardeners use on-site every day. 📦 What’s Inside?📖 Vocabulary & Glossary: Technical te
9th - 12th, Adult Education, Higher Education
Environment, Other (ELA), Vocabulary
Biology STEM Field Investigation: Identify Plants using AI
Product Description:Take your students outside and into the future of science! This 2 day STEM, Biology, and Environmental Science lesson (Years/Grades 6–10) challenges students to identify 10 plant species using AI apps like iNaturalist alongside traditional field guides — then critically compare the results. Students learn when AI is a powerful tool and when it can be dangerously wrong, making this ideal for building real-world digital literacy alongside botanical knowledge. This complete res
6th - 10th
Biology, Environment, General Science
Solar Oven STEM: Does AI Improve Engineering?
Solar Oven Engineering: AI Research vs Think Smart Approach (Years 7-10)A complete 2-day hands-on engineering lesson where students build solar ovens from recyclable materials, test heat transfer efficiency, and discover whether AI research improves design outcomes. What Makes This Different: Students are randomly assigned to two groups. One group uses AI (ChatGPT, Claude, or Gemini) to research optimal solar oven design before building. The other group uses intuition and trial-and-error ("Think
6th - 10th
Engineering, Environment, General Science
STEM Traffic Simulation. Can AI Beat Human Thinking?
STEM Traffic Simulation: Can AI Beat Human Thinking?Can your students outsmart artificial intelligence? In this hands-on STEM challenge, teams build a real traffic intersection using toy cars, measure how long it takes 10 cars to get through, then race to improve it — one group using AI research, the other using pure observation and logic. It's competitive, engaging, and surprisingly deep. Students collect real data, calculate percentage improvement, and discover that fixing one problem often cr
7th - 10th
Computer Science - Technology, Engineering, Statistics
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