AI can generate assessments in seconds — but speed doesn’t always equal quality. Without careful prompting and review, the outputs can fall into some familiar traps: shallow recall questions, factual slips, confusing language, cultural bias, or distractors that give the answer away.
In this lesson, we’ll explore the five most common pitfalls teachers encounter when creating assessments with AI. More importantly, we’ll look at quick, practical fixes that ensure every question is accurate, fair, and aligned with learning outcomes.
As you move through this section, keep asking yourself: Which of these pitfalls have I already seen in AI outputs? Which fixes could I apply straight away in my own context?
