Week 6 — Teaching and Learning Perspectives

Agents, search, decision trees, and neural networks — now seen through a teacher's eyes.

Overview

This week you covered the foundational concepts of artificial intelligence: what an agent is, how search and reasoning work, the three categories of machine learning, decision trees as a traceable supervised learning technique, and neural networks as a powerful but less interpretable alternative. That is a significant arc of content — and all of it has direct implications for what and how you teach.

The pedagogical challenge is not trivial. AI is simultaneously the most visible technology in your students' lives and one of the most widely misunderstood. Most students believe ChatGPT "thinks." Many believe recommendation algorithms are neutral. Few can explain what a decision tree does or why a neural network gives a different kind of answer than a rule-based system. Your job is not to make them computer scientists — it is to give them enough accurate understanding to engage with these systems as informed citizens and learners.

The pages linked below address that challenge by grade band. Find yours and read it before your small group discussion.

Choose Your Grade Band

K–5

Elementary — Teaching AI Foundations in K–5

Emphasis on agents and rules as a concept children already understand through games and everyday instructions, unplugged decision tree activities that work at every grade level, and age-appropriate language for talking about how computers "decide" things.

6–8

Middle School — Teaching AI Foundations in Grades 6–8

Emphasis on making decision trees concrete through hands-on classification activities, introducing the supervised/unsupervised/reinforcement taxonomy as a framework students can apply to systems they already use, and addressing the specific misconceptions middle schoolers bring to AI.

9–12

High School — Teaching AI Foundations in Grades 9–12

Emphasis on technical depth with decision trees and perceptron calculations, the interpretability tradeoff as a genuine design tension worth debating, connecting Week 6 content to AP Computer Science Principles standards, and building the critical evaluation habits students need to use AI tools wisely.