Generative AI has exposed what many educators already suspected, much of our assessment system is built on the wrong foundation.
For over a century, we’ve measured learning by how well students can recall information on command. Essays, quizzes, and timed exams all reward quick recall and compliance. But in an age when ChatGPT can produce grammatically perfect essays and summarize any topic in seconds, these measures no longer tell us what students actually understand.
This isn’t a crisis. It’s a wake-up call.
AI forces us to confront the difference between knowledge reproduction and knowledge creation. Memorization and formulaic writing can be automated, but curiosity, synthesis, ethical reasoning, and original thought cannot. If our goal is to prepare learners for a future where AI is ubiquitous, we must focus on assessing what remains uniquely human, judgment, creativity, empathy, and discernment.
Rather than designing tests to catch cheaters, we can design experiences that make cheating meaningless. Assessments should ask: Can the learner evaluate, apply, and extend knowledge in new contexts?
We’re not losing control of learning; we’re rediscovering its purpose.
Ask yourself: Does this assessment measure memory or meaning?
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