Developing Predictive Models
by Amanda Sibley
In this lesson students will collect data on the performance of their drone. Students will design a systematic process of data collection that will then lead to the development of a predictive model that they can use to predict a power and time duration that would be required to move the drone through a constructed maze. The purpose of this lesson is for students to strategically collect data and look for a regular pattern that can be used to describe that pattern. This will ultimately not be efficient enough to accurately control the drone which will then require learning about coding and sensor integration.
This is lesson 5 in the coding drones lesson sequence.
Lesson Plan Link/URL
https://docs.google.com/presentation/d/153v8ONbPjixow3n64VyymygEJ2shg7Tm/edit?u…Related Content
Grades:
9th Grade, 10th Grade, 11th Grade, 12th Grade
A lesson to teach students how to collect, organize, interpret data, make inferences, raise awareness, and suggest possible solutions on the water quality of the waterbodies in the state of Arizona.
Grades:
9th Grade, 10th Grade, 11th Grade, 12th Grade
In this lesson, students use the Kepler’s Laws PhET Simulation to collect data on the period and average radius of the planetary orbits. They graph and analyze that data to derive Kepler’s 3rd Law.
Grades:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
Students will gain an appreciation of M.C. Escher's tessellation artwork and process and be inspired to create their own tessellation.This lesson combines math, art and technology by using an