Are x and y Directly or Inversely Proportional? (Day 1 of 2)
Lesson 12 of 20
Objective: SWBAT recognize and describe Direct Variation using multiple representations and solve for the Constant of Variation (k).
This Warm Up takes about 10 minutes for students to complete and for me to review with the class. I introduce students to Direct Variation in this Warm Up. I expect my students to recognize that the relationship in this problems is proportional. I also want students to recognize that the y-intercept is 0 on the graph of the data.
I demonstrate my review of the Warm Up with the students in the video below.
Power Point / Frayer Model
After reviewing the Warm Up task, I begin to introduce my students to the difference between a situation involving a Direct Variation and a situation that can be modeled as an Inverse Variation. I provide my students with a Frayer Model to take notes as I present to them using this PowerPoint presentation.
Today, we will focus on Direct Variation. Tomorrow we will discuss Inverse Variation. I choose to use a Frayer Model because I want my students to focus on the appearance of a Direct Variation in different algebraic. The representations I will discuss are: ordered pairs in a table, an equation, and a graph. The Frayer Model helps students organize their notes for each representation. I want them to be able to refer back to this Graphic Organizer to compare Direct and Inverse Variations (as well as other bivariate relationships). Here is a Sample of a completed Frayer Model.
Today's Exit Slip will help me to determine how well my students documented the information conveyed during the lesson. I expect this Exit Slip to take about five minutes for the students to complete. After students turn in their Exit Slips, I will share out the answers and encourage students to add information to their Frayer Models, as needed. Although the Exit Slip is not too challenging, I find that summarizing key points at the end of the lesson helps my students with retention of the content.
Tomorrow we will continue with Inverse Variation.