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:
4th Grade, 7th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
Students use Google Earth Timelapse to observe changes to glaciers over time before completing an investigation on the effects of melting sea ice and land ice on global sea level rise. This
Grades:
3rd Grade, 4th Grade, 5th Grade, 6th Grade, 7th Grade, 8th Grade, 9th Grade
Engineers often create small-size models of a new product to test its design. This is especially true with airplanes. Model testing tells engineers how a design responds to different air conditions
Grades:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
This lesson plan involves dilation and scale factors and how the human eye perceives 3D when it only uses 2D images. The hand-on activity is a perspective drawing of a city scape and teaches about