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:
6th Grade, 7th Grade, 8th Grade
For this lesson, students will be using the LEGO Spike Prime Kits and LEGO Mindstorm software. Students will write programs using the Color Sensor to make the Driving Base autonomous. A variety of
Grades:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
Want to incorporate the Arts into your 7-12 STEM classroom? The Global Science Opera provides a way to do just that! Learn how to facilitate a STEAM collaboration with arts teachers to make it happen.
Grades:
3rd Grade, 4th Grade, 5th Grade, 6th Grade, 7th Grade, 8th Grade
On the second day students use more complex coding, the built in camera for taking pictures and experience FPV. It has 3 missions total in this lesson. This lesson also uses yaw to keep the camera