Episode Summary

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