AI-Augmented

Practice → Role example

Redesign an Assignment for an AI-Enabled Classroom

A teacher revises an assignment so students can use AI as a learning support while demonstrating their own understanding. This is an illustrative workflow, not a customer case study.

Problem

A generic assignment may make it difficult to tell what a student understands when AI can produce a polished response.

Human Role

The teacher sets the learning objective, knows the learners and context, and decides what evidence demonstrates understanding.

Where AI Helps

AI can offer examples, questions, alternative explanations, and feedback prompts when its role is bounded.

Where Human Judgment Stays

The teacher decides whether the task is instructionally sound, fair, accessible, and aligned with assessment integrity.

Workflow

  1. Define the learning outcome and acceptable AI support.
  2. Ask AI for possible task variations and likely failure modes.
  3. Adapt the assignment to the learners and review evidence requirements.
  4. Explain expectations, collect process evidence, and revise after use.

AAOS Mapping

Diagnose the learning task, Activate a bounded use, establish Controls, Execute with review, Measure learning evidence, and Scale only when the pattern is reliable.

Common Failure Modes

  • Allowing tool use without defining the learning goal.
  • Grading fluency instead of understanding.
  • Using the same policy for every task and learner.

What Good Looks Like

The assignment makes the learning goal, AI boundary, student contribution, review process, and evidence of understanding clear.

Next Step

Use the assessment to choose the next teaching capability to strengthen.

Use this pattern carefully

This example is illustrative. Adapt the workflow to the people, evidence, controls, and consequence level in your own context before using it.

Take the assessment