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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:
7th Grade, 8th Grade, 9th Grade, 10th Grade
Students can now use Desmos on standardized testing such as the Arizona State Test and even ACT testing. Student will develop their analysis skills using Desmos to visualize data and create math model
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Grades:
9th Grade, 10th Grade, 11th Grade, 12th Grade
Students will explore the historical use of natural pigments by indigenous peoples, particularly those native to the Southwest region. They will use mathematical concepts to paint using the pigments
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Grades:
9th Grade, 10th Grade, 11th Grade, 12th Grade
In this hands-on STEM lesson, students take on the role of engineers tasked with developing an autonomous robotic solution for a complex real-world challenge. They explore the fundamentals of robotics