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 purpose of this lesson is to introduce and apply the concept of frequency. Students will begin by a motivating “click the mouse” challenge. This will help them to develop the concept of frequency
Grades:
6th Grade, 7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
Be a part of the humanitarian effort and teach students how to create a fully functioning 3D printed prosthetic arm for a client in need. This lesson walks you through the process in a slideshow
Grades:
4th Grade, 5th Grade, 6th Grade, 7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
The Micro:bit prototyping academy is designed to teach students the basic commands and features in order to innovate their own device. They will learn the input commands, variables and conditional