
Happy or Sad? [Teaching AI]
1 week
beginner
April 14, 2025
Artificial Intelligence
Machine Learning
Learning Target (What the students will learn in this lesson):
Learn how to train Artificial Intelligence, the ethics behind it, and the use cases for such a technology in real world applications.

Two examples of an Google’s Teaching Machine, an AI tool, learning to classify happy and sad face drawings
Essential Question: (What are the most important concepts my students should learn from this unit):
- How does AI “learn” and what are we teaching it?
- How can this technology be used beyond the classroom?
- What helps you decide if a drawing of a face looks happy or sad? Could a computer use the same factors?
Learning Objective (outcome statement that captures specifically what knowledge, skills, attitudes learners should be able to exhibit following instruction):
Learn to feel more comfortable with AI technology and have a role in its use beyond a chatbot.
Next Generation Standards Met:
- 7-8.IC.3
- 7-8.IC.5
- 7-8.IC.6
- 7-8.CT.2
- 7-8.DL.2
- 7-8.DL.4
Target Vocabulary:
- Artificial Intelligence
- Ethics
- Teachable Machine
- Bias
- Machine Learning
Materials/Resources/Technology:
- Google’s teachable machine
- A 2-page handout (see below)
- Computer with camera/scanner

