Planarian Regeneration
This lesson is designed for Day 3. Students use outside resources to modify and test helmet effectiveness with Pocketlab sensors. In this hands-on lesson, students will create a prototype and run
Up, Up and Away! Creating a Glider
Students will learn the principles of flight while also incorporating the Engineer Design Process as they construct gliders using pressed Styrofoam. In this hands-on lesson, students read a book about
In this engaging lesson, students will develop an understanding of how solar panels convert sunlight into electrical energy. They will investigate factors affecting the amount of electricity generated
Teachers will be introduced to the VEX V5 Robotic Platform. We will start with an Introduction to robotics and how robotics is used in industry. Students will understand the key resources they will be
This lesson plan focuses on Torque, assuming prior knowledge of Rotational motion, angular velocity, angular acceleration, and Newton's Laws for linear motion. It also introduces Newton's laws for
This lesson assumes prior knowledge of basic electricity and magnetism concepts and focuses deeply on Induction. Levels adjusted for 9th to 12th grade, dual enrollment and AP Physics.
This unit has lessons which will introduce students to phenomena we encounter in the real world. Students will learn about high interest phenomenon through hands-on investigations. Students will
Featured Lesson Plans
Check out these notable lesson plans.

Treehouse Design
Students will research, design and build a treehouse using the engineering design process. They will practice budgeting by pretending to have $100 to spend by using a supply budget sheet. Students

Space Case Chapters 1-7
This is the 2nd set of 4 lesson plans that correlate with the novel "Space Case" by Stuart Gibbs. This is a literature-inspired project base learning opportunity. The lessons include straw rockets

Splash of Science
Students measure the temperature of water as it cools to learn about heat transfer and thermal properties while using line of best fit, linear regressions and/or quadratic regressions.