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: