AI for Educators Capstone Exercise — AI for Educators

What you'll learn

Apply skills from across this course in a single realistic professional scenario
Produce a concrete, role-relevant deliverable using AI tools
Self-assess your output against professional quality criteria

This course has covered how AI is changing education, how to use it for lesson planning and curriculum design, how to handle assessment and academic integrity, how to support differentiated learning, how to build student AI literacy, how to create a sustainable workflow, how to use data-driven insights, how to reduce communication and admin load, and how to support your own professional development. The question this capstone asks is whether you can draw on all of that in a single, coherent planning task, without sacrificing the pedagogical quality that makes the difference between a well-resourced lesson and a genuinely effective one.

Reducing planning time is only worthwhile if the quality of the learning experience holds. This capstone puts that balance directly in your hands.

Capstone Exercise

Climate Change Unit: AI-Assisted Planning Pack for Secondary Students

Context

You are a secondary school teacher preparing a new unit on climate change for a Year 9 class (students aged 13 to 14). The unit needs to meet curriculum standards, build scientific literacy, and develop critical thinking skills. You have one week to build the core planning materials before the unit begins. Your head of department has asked that the unit be evidence-based, include formative assessment, and engage parents early with a brief communication home. You want to use AI to reduce the planning burden without producing generic, curriculum-thin materials.

Your Task

Use an AI tool to produce four components for the unit planning pack. First, a lesson outline for one 60-minute lesson within the unit, including learning objectives, a starter activity, main activity, and plenary. Second, a formative assessment task that could be used mid-unit to check understanding, with a clear success criterion. Third, three discussion prompts for the lesson on the impacts of climate change: one at the recall level, one at the analysis level, and one at the evaluation level of Bloom's Taxonomy. Fourth, a draft parent communication (150 to 200 words) explaining what the unit covers, why it matters, and how parents can support learning at home. For each of the four components, write one sentence annotating what human oversight you applied before the component would be ready to use.

Your notes (optional)

Deliverable

A unit planning pack with four clearly labelled components: a 60-minute lesson outline, a formative assessment task with success criterion, three Bloom's-levelled discussion prompts, and a parent communication draft, each with a one-sentence annotation on the human oversight applied.

Quick check

If the AI conflates Bloom's levels across your three discussion prompts, the capstone suggests asking it to explain why each question sits at the level it claims. What does that achieve beyond correcting the labels?

Select one answer.

Key takeaways

AI can compress the first draft of a lesson plan from 90 minutes to 15, but pedagogical quality depends on how specifically you brief it and how critically you review the output
Bloom's Taxonomy is a useful prompt scaffold: giving AI the level you want produces more targeted questions than asking for 'discussion prompts' with no further guidance
Parent communication generated by AI tends toward corporate language: the human review step should specifically check for warmth, clarity, and school-appropriate tone
The annotation step in this capstone is the professional habit that matters most: it forces you to articulate where your judgment shaped the AI's output rather than simply accepting it