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Essential Question: How Can Computers Use Data To Understand The World?
Essential Question: How Can Computers Use Data To Understand The World?
Structure of Learning Activity
Structure of Learning Activity
Play "Which One Doesn't Belong?"
Review/learn vocabulary: Features and Data
Identify features of data
Complete two rounds of sorting and labeling data in pairs or groups
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
Materials Needed
Materials Needed
Student Materials
Feature Table (1 per pair/group)
Sorting Sheet (1 per pair/group)
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:
California K-12 CS Standards
California K-12 CS Standards
K-2.DA.9 Identify and describe patterns in data visualizations, such as charts or graphs, to make predictions.
In addition to the above standard, this activity relates to Practice 4. Developing and Using Abstractions of the K–12 Computer Science Framework as students identify common features in a dataset.
AI4K12 Big Ideas in AI Guidelines
AI4K12 Big Ideas in AI Guidelines
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.
Originally created for Day of AI 2024
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