Intro to machine learning
Students will train ML models to recognize images in code.org and will understand ML concepts.
National Standards Alignment
csta
3A-AP-13
3A-AP-14
3A-AP-15
3A-AP-21
3A-CS-01
3A-CS-02
3A-CS-03
3A-DA-09
iste
ISTE-1d
ISTE-3a
ISTE-3b
ISTE-4a
ISTE-4b
ISTE-4c
ISTE-4d
ISTE-5a
ISTE-5b
ISTE-6a
ISTE-6b
OVERVIEW
Activity Overview:
Students will train ML models to recognize images in code.org and will understand ML concepts.
Meta description
- Subject Area: Computer Science, Technology, Engineering
- Grade Level : 9-12
- Computer Science Domains:
- Computing Systems
- Algorithms and Programming
- Computer Science Principles:
- Recognizing and Defining Computational Problems
- Developing and Using Abstractions
- Creating Computational Artifacts
- Testing and Refining Computational Artifacts
- Materials:
- Website
Lesson Plan
Overview
Students will train ML models to recognize images in code.org and will understand ML concepts.
ASSESSMENT PRE/POST-TEST
Check student responses to problem solving process.
OBJECTIVES
Use problem solving process to train an AI bot, explain simple ML concepts.
CATCH/HOOK
Visible feedback on training digital bots.
ACTIVITY INSTRUCTIONS
Student will use blockly on code.org with guided instructions to train the ai to recognize images.
Supplements
Any items in this section are the property & under the license of their respective owners.
REVIEW
Discussion following activity.
STANDARDS
| Type | Listing |
|---|---|
| CS Domains | Computing Systems, Algorithms and Programming |
| CS Principles | Recognizing and Defining Computational Problems, Developing and Using Abstractions, Creating Computational Artifacts, Testing and Refining Computational Artifacts |