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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
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Grades:
3rd Grade, 4th Grade, 5th Grade, 6th Grade, 7th Grade, 8th Grade
Coding and flying drones what a match! Students will have the chance to experiment with flying a drone in a simulator. The lesson includes 4 missions incorporating forces of flight acting on a drone.
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Grades:
9th Grade, 10th Grade, 11th Grade, 12th Grade
In this lesson, students will explore the key physics principles that govern the design and operation of street lighting systems. Through a hands-on engineering design challenge, students will apply
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