We reflect on Chris Lehman’s recent writing about the state of AI in education and explore a practical middle ground between AI hype and total rejection. We look at why schools are still wrestling with cheating, misaligned expectations, and the real limits of “innovative” lesson design, while also asking where AI may genuinely help, especially in assessment and writing.

Topics covered:

• Chris Lehman’s argument that AI in schools is “not going well”
• The two camps in AI education: resistance vs. revolution
• Why AI may still hold promise for more dynamic assessment
• The connection between AI-powered feedback and AI-enabled cheating
• Why schools cannot “lesson plan” their way out of AI misuse
• Misalignment between what teachers assign and what students think the work is
• Why transparency with students, staff, and families matters more than ever

• How quickly students can test, bend, and get around AI guardrails
• Why hands-on experimentation helps school leaders make better AI decisions

Source:

https://practicaltheory.org/blog/2026/03/07/ai-and-showing-our-work/