Assessment is one of the most powerful levers we have in teaching. It doesn’t just measure learning — it shapes it. The kinds of questions and tasks we design influence how students prepare, what they focus on, and how deeply they engage with content.
Artificial intelligence is now entering that space. Instead of building every item from scratch, teachers can use AI tools to quickly generate first drafts of questions, prompts, and even real-world scenarios. Done well, this saves time and provides variety. Done poorly, it can lead to shallow recall questions, factual errors, or irrelevant tasks.
In this lesson, we’ll look at four common assessment types — multiple-choice questions, gap-fills, essay/discussion prompts, and scenario-based tasks — and see how AI can support each one. You’ll explore practical examples, discover recommended tools, and pick up tips for getting outputs that are clear, aligned, and useful.
As you watch the video, think about:
- How much of this do I already do manually?
- Where could AI genuinely lighten the load in my context?
- What risks might appear if I relied too heavily on AI without checking alignment or accuracy?
Let’s dive in and see what AI can actually produce.
