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:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
The students in this lab activity will play a competitive game with a small bouncy ball. The students will analyze the motion of the ball and apply projectile motion concepts. This activity requires
Grades:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
In this lesson the students will develop the code they previously planned out and will deploy their code to the drone. They will continue the process of reflection and iterative improvement. This is
Grades:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
This is a lesson geared toward junior high and high school classes to introduce students to the idea of cryptography and encryption. This lesson could be simplified for younger students by removing