In this episode, I reflect on how AI is pushing educators to rethink assessment and what it truly means to measure student understanding. I share a recent experience where I used AI to help create part of an assessment and quickly noticed issues with patterns, answer structures, and predictability that weakened the quality of the assessment itself.
I unpack the idea that while AI can support assessment creation, it cannot replace thoughtful human judgment. Good assessment design still requires alignment, clarity, reflection, and intentionality. I also connect this to earlier experiences I had modifying curriculum assessments to better reflect what students had actually learned in class instead of simply following packaged materials exactly as written.
This connects directly to what educators are facing right now because AI is changing how students access information and produce responses. Polished answers do not always reflect genuine understanding, which means teachers must think more carefully about how learning is measured. Authentic thinking, reasoning, discussion, and visible understanding are becoming increasingly important.
At the end of the day, I believe this moment is less about panic and more about reflection. AI is forcing education to ask deeper questions about assessment, learning, and authenticity. Teachers still play the critical role in determining what meaningful understanding looks like and how it should be measured thoughtfully and responsibly.
Show Notes
AI and assessment design
Human judgment in assessment
Patterns weakening multiple choice
Alignment between teaching and testing
Authentic understanding vs. polished output
Reflective assessment practices
Key Takeaways
AI can support but not replace assessment judgment
Good assessment requires intentional design
Polished answers do not guarantee understanding
Alignment matters in effective assessment
Teachers must rethink how learning is measured
Transcripts
Funky Teacher, Nicholas Kleve:
This is Mr. Funky Teacher with BeAFunkyTeacher.com. I'm coming to you with another Be a Funky Teacher podcast. Welcome back, everyone. Today's episode is called Rethinking Assessment in an AI World.
There was a moment recently where I used AI to help create part of an assessment. And pretty quickly I noticed problems. The correct answers were noticeably longer than the other options.
There were patterns in the multiple choice responses. You could start predicting answers based on structure instead of understanding, and it reminded me of something important.
AI can help, but it still requires human judgment. And honestly, that's always been true with assessment.
I remember years ago modifying a math assessment from a packaged curriculum because it just didn't align well with what we had actually been covering in class. So I narrowed it, I trimmed it down and adjusted it, and it became a much better assessment for students.
Well, before we get into it, I want to ground myself in gratitude. Here are three things that I'm thankful for.
The first thing that I'm thankful for is doctors who look into issues carefully, people who take concerns seriously and work to understand what's going on that matters. And so I appreciate doctors. Second thing that I'm thankful for is comfortable clothes.
Sometimes comfort changes your whole mood and energy level during the day. And the third thing that I'm thankful for is hot glue. As a teacher, and even at home, I'm thinking about at home hot glue.
Hot glue is just one of those incredibly. It's such an incredibly useful thing that somehow always ends up helping. I love hot glue. I do.
It's kind of even funny for me to say that I love hot glue. Well, let's get. Let's get back into the. Into the main topic, y', all. Again. Assessment has always mattered in education.
How we measure learning, how we evaluate understanding, how we determine growth. But AI is forcing us to rethink Some of those systems, not because assessment disappears, but because the landscape around it is changing.
So the topic, once again, that we are going to be focusing on is rethinking assessment. In an AI world, assessment is only as good as what it measures. A polished looking assessment does not automatically mean it's effective.
What matters is alignment, clarity, purpose. An assessment should measure understanding, not test taking tricks, not patterns that students can guess from that distinction. It matters.
It's critically important. Because good assessment, they require intentional design. An AI can support assessment creation, but not replace judgment.
AI can generate questions quickly, organize ideas, suggest formats that can be helpful. But teachers still need to review carefully, to revise, to adjust that human judgment still matters deeply.
You can generate assessment items fast, but fast is not the same thing as quality. Patterns can unintentionally weaken assessments. Students notice patterns, longer answers, repeated structures, predictable formats.
Those things impact validity because students may guess correctly without fully understanding the content. That weakens the purpose of assessment. And good assessment aligns to actual learning. Sometimes assessments drift away from instruction.
The test may cover too much or emphasize the wrong things that disconnect. It matters because assessment should reflect learning and learning experiences, not just textbook pacing or packaged materials.
Teachers must remain reflective about assessment. Assessment should not be automatic. Teachers need to ask questions. What are we measuring? What are we?
Not only what are we measuring, but why are we measuring it this way? Does it actually reflect understanding? That reflection? It matters. Maybe.
Especially now, AI is pushing educators to think more deeply about assessment quality. And honestly, that's probably a good thing. Modification is not weakness. Adjusting an assessment does not lower standards.
Sometimes it improves clarity, alignment, focus. Narrowing and assessment can sometimes make it stronger, more accurate, more meaningful. That's thoughtful teaching.
And authentic thinking matters more than polished output. AI can generate polished responses, but polished does not always mean understood.
Students still need opportunities to explain, to reason, to discuss, Think visibly. That's where authentic understanding becomes clearer. An assessment should support learning, not just ranking.
The goal is growth, feedback, understanding. Assessment should support learning, not just ranking. The goal is growth, feedback, understanding.
Assessment should help teachers respond, adjust instruction, support students, not simply sort people into categories. Flexibility in assessment is becoming more important. Different students demonstrate understanding differently.
Written responses matter, but so can explanation, discussion, application. Flexibility helps create a fuller picture of learning. And AI is forcing education to ask better questions. What counts as understanding?
What does authentic thinking look like? How do we. No learning is real. Those questions are becoming more important.
And educators will need to keep wrestling with those questions thoughtfully, honestly and together. Rethinking assessment is not about lowering expectations. It's about measuring learning more accurately.
Well as I do a reflective close here, I want to say that I think AI is pushing education into a moment of reflection, not panic reflection because maybe some of these questions were already there. AI is just forcing us to see them more clearly.
Where are we actually measuring what really shows understanding and what does meaningful learning actually look like? Now those are important questions and teachers are still the people best positioned to answer them thoughtfully.
Well, if you found value in this episode you head on over to Apple Podcasts or wherever you listen to your podcast and hit me up with a five star review and let me know what you think. It helps more teachers define this space.
And as you go into your day I want you to remember to inspire greatness in young people and don't forget to be a funky teacher. Bye now.
