Level 3 Sampler

Data, Patterns, and Bias

Grades 6-8 - Module 1: Data Decisions - 50 minutes. This is one of the five free sampler lessons; full curriculum planning and cohort tools remain inside paid partner programs.

Free sampler

Objectives

What learners practice

Explain how AI systems use examples to find patterns.

Identify how missing or unbalanced data can affect outcomes.

Draft a fairness checklist for an AI-supported classroom tool.

Access

Free-tier limits stay visible.

This page uses a lesson-bound sandbox when the lesson includes generative AI. It does not unlock center dashboards, reports, parent summaries, or the full lesson database.

Sampler Steps

Level 3

Find the PatternCompare two small datasets and ask what each dataset makes easy or hard to predict.

Fairness ChecklistStudents draft three checks before trusting an AI result.

Guided Prompt

student-active

Plan -> Generate -> Validate -> Render -> Evaluate -> Log -> Cache

Free sampler sandbox is ready for this lesson.

Preview + Checks

passed

AI or Not: Digital Map

A digital map can use AI when it predicts traffic and suggests routes.
It perceives location data and learns from traffic patterns.
Safe-use tip: do not share private home or school details in prompts.

Classifies the toolThe answer explains when a digital map uses AI.

Includes evidenceTraffic prediction and route suggestions are concrete examples.

Includes safe-use tipThe artifact avoids private student details.