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BM&IT Quality Module: The Sequencing And Articulation Module.
Unrestricted Use
CC BY
Rating

Welcome to one of 12 Business, Marketing and Information Technology Quality Modules! The purpose of these modules is to illustrate quality examples of each of the 2018 ACTE Quality CTE Framework elements. Regardless if you are in a pre-service education program or an experienced educator, these modules will benefit your future and business & marketing program.The Sequencing and Articulation module addresses the key components of the definition of a program of study and the articulation, coordination and collaboration that support programs of study, career pathways and accelerated learning

Subject:
Business and Information Technology
Marketing, Management and Entrepreneurship
Material Type:
Module
Author:
Kris Thompson
Date Added:
05/20/2020
Basics of Polynomials
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating

This resource is an introduction to polynomial vocabulary and naming of polynomials. It includes an interactive presentation using Pear Deck and a note taking sheet for students.

This resource was developed as a part of the Creating Lessons Using Transformative Technology - Platteville Public Schools OER grant.

Subject:
Mathematics
Material Type:
Learning Task
Lesson Plan
Author:
Amy Dye
Date Added:
08/02/2019
Complex Networks and Graphs
Read the Fine Print
Educational Use
Rating

Students learn about complex networks and how to represent them using graphs. They also learn that graph theory is a useful mathematical tool for studying complex networks in diverse applications of science and engineering, such as neural networks in the brain, biochemical reaction networks in cells, communication networks, such as the internet, and social networks. Topics covered include set theory, defining a graph, as well as defining the degree of a node and the degree distribution of a graph.

Subject:
Technology and Engineering
Material Type:
Lesson Plan
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Complex Systems Science Laboratory,
Debbie Jenkinson and Susan Frennesson, The Pine School, Stuart, FL
Garrett Jenkinson and John Goutsias, The Johns Hopkins University, Baltimore, MD
TeachEngineering.org
Date Added:
09/18/2014
Gears: Determining Angular Velocity
Read the Fine Print
Educational Use
Rating

Students work as engineers and learn to conduct controlled experiments by changing one experimental variable at a time to study its effect on the experiment outcome. Specifically, they conduct experiments to determine the angular velocity for a gear train with varying gear ratios and lengths. Student groups assemble LEGO MINDSTORMS(TM) NXT robots with variously sized gears in a gear train and then design programs using the NXT software to cause the motor to rotate all the gears in the gear train. They use the LEGO data logging program and light sensors to set up experiments. They run the program with the motor and the light sensor at the same time and analyze the resulting plot in order to determine the angular velocity using the provided physics-based equations. Finally, students manipulate the gear train with different gears and different lengths in order to analyze all these factors and figure out which manipulation has a higher angular velocity. They use the equations for circumference of a circle and angular velocity; and convert units between radians and degrees.

Subject:
Technology and Engineering
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering NGSS Aligned Resources
Author:
AMPS GK-12 Program,
Jennifer S. Haghpanah, Leonarda Huertas, Jasmin Mejias, Mihai Pruna, James Cox
Date Added:
09/18/2014
Start Networking!
Read the Fine Print
Educational Use
Rating

To get a better understanding of complex networks, students create their own, real social network example by interacting with their peers in the classroom and documenting the interactions. They represent the interaction data as a graph, calculate two mathematical quantities associated with the graph—the degree of each node and the degree distribution of the graph—and analyze how these quantities can be used to infer properties of the social network at hand.

Subject:
Technology and Engineering
Mathematics
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Complex Systems Science Laboratory,
Debbie Jenkinson and Susan Frennesson, The Pine School, Stuart, FL
Garrett Jenkinson and John Goutsias, The Johns Hopkins University, Baltimore, MD
TeachEngineering.org
Date Added:
09/18/2014