AI Uses Data To Understand The World

1. Play "Which One Doesn't Belong?"

2. Review/learn vocabulary: Features and Data 

3. Identify features of data 

4. Complete two rounds of sorting and labeling data in pairs or groups 

5. See a demo of how to train a machine to identify colors 

Vocabulary

• Features: Unique attributes that identify an object

• Data: Information we collect and use to answer questions and make decisions

• Label: Text added to data to help train a machine learning model

• Teacher Guide

• Teacher Slides

• Student Materials

  • Feature Table (1 per pair/group)

  • Sorting Sheet (1 per student)

  • Pencils (1 per pair/group)

  • Manipulative set for each pair/group - LEGO or other manipulative objects with at least 3 different features

• Teacher device for accessing:

  • Slides

  • Teachable Machine

    • Images to train Teachable Machine

1A-DA-07 Identify and describe patterns in data visualizations, such as charts or graphs, to make predictions.

1B-DA-06 Organize and present collected data visually to highlight relationships and support a claim.

1B-DA-07 Use data to highlight or propose cause-and-effect relationships, predict outcomes, or communicate an idea.

1A-AP-08 Model daily processes by creating and following algorithms (sets of step-by-step instructions) to complete tasks.

K-2.1-B-ii Give examples of features one would look for if one wanted to recognize a certain class of objects (e.g., cats) in an image. 

K-2.2-A-iv Identify the features that make each object in a collection unique, and create a table of features to organize the objects. 

K-2.3-A-ii Identify patterns in labeled data and determine the features that predict labels.

K-2.3-C-i Create a labeled dataset with explicit features to illustrate how computers can learn to classify things like foods, movies, or toys. 

3-5.3-A-iii Train a classification model using machine learning, and then examine the accuracy of the model on new inputs.

3-5.3-A-iv Demonstrate how training data are labeled when using a machine learning tool.

3-5.3-C-i Create a labeled dataset with explicit features of several types and use a machine learning tool to train a classifier on this data.