ICTM 2018 Conference Session

SketchUp Activities

https://sites.google.com/site/sketchupmath

Shafertime (gmail)

GeoGebra Workshop

Purdue University Northwest - October 8, 2018

Session Presentation Google Slides

Flipping The Switch 2018 K-8 CS Conference

(I.8) Integration Session 12:00 - 12:50

Hands-on session demonstrating how to use Computer Science to leverage Grades 6-8 math instruction. Participants are guided through Scratch programming activities integrated into Algebra (coordinate plane transformations) and Geometry (angle measure theorems). 

Overview
Cat and Mouse Scratch Presentation

Scratch Program

Lesson Plan
Cat and Mouse on Scratch (Google doc)

Cat and Mouse Program on Scratch Community (use this when discussing mice)

Introduction to Polygons
Katie's Beetle: Intro to Polygons

Other Cool Stuff
Google Word Program You Tube Video Screencast
Katie's Slope Game

Teacher Note
Issues that we see in coding - Not renaming sprites, extra code that is not used, inefficient code

SITE 2018 Scratch Roundtable Session - March 27

Link to Google Doc

TaxicabGeometryGame

LINK

Chaos Game - Shodor

MATH 335

Chaos Game from Shodor Interactivate

Key Terms

experimental probability	The chances of something happening, based on repeated testing and observing results. It is the ratio of the number of times an event occurred to the number of times tested. For example, to find the experimental probability of winning a game, one must play the game many times, then divide the number of games won by the total number of games played
infinity	Greater than any fixed counting number, or extending forever. No matter how large a number one thinks of, infinity is larger than it. Infinity has no limits
iteration	Repeating a set of rules or steps over and over. One step is called an iterate
probability	The measure of how likely it is for an event to occur. The probability of an event is always a number between zero and 100%. The meaning (interpretation) of probability is the subject of theories of probability. However, any rule for assigning probabilities to events has to satisfy the axioms of probability
recursion	Given some starting information and a rule for how to use it to get new information, the rule is then repeated using the new information
self-similarity	Two or more objects having the same characteristics. In fractals, the shapes of lines at different iterations look like smaller versions of the earlier shapes
theoretical probability	The chances of events happening as determined by calculating results that would occur under ideal circumstances. For example, the theoretical probability of rolling a 4 on a four-sided die is 1/4 or 25%, because there is one chance in four to roll a 4, and under ideal circumstances one out of every four rolls would be a 4. Contrast with experimental probability