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Slides 6 - 12 Part 1: Exploring MotionEXPERIMENT! Change the inputs (arguments) to the repeat, move, and turn blocks. Observe the impact each change has on the drawings on the stage.To make copies of this script, right click (CTRL+CLICK on Mac) on the top-most block and select duplicate.Slides 7 - 18 Part 2: Angles & TurningFIRST: Make a triangle, square, pentagon, and hexagon NEXT: Look for the pattern. Write an algorithm that would work for any sized polygon with any number of sides, then code the custom procedure in Snap!--EPIC CHALLENGE-- Slides 19 - 20