Article Library

I Use AI Every Day. Here's What Worries Me About How We're Handling It in Education.

While AI adoption is widespread in education, relying on AI detectors is failing and fueling an atmosphere of distrust. The deeper threat is "cognitive surrender"—where students lean on chatbots at the first sign of struggle—combined with a massive support gap for teachers who lack adequate guidance. Rather than policing students, the path forward involves focusing on active, observable learning processes, encouraging human connection, and giving educators collaborative tools like Sibme to reflect on and improve their teaching practice.

A Researcher's Case Against Letting AI Teach Alone

A university researcher's new argument about what gets lost when AI takes over parts of teaching turns out to be a preview of a debate we're already having about teacher coaching.

Schools Need to Teach AI Agency, Not Just AI Literacy

Schools can't just teach kids to understand AI — they have to teach kids to recognize their own agency in the relationship with it, because literacy alone won't settle the question this week's AI-safety debate couldn't.

What NYC's AI Ban Gets Right About Kids — and Wrong About Regulation

NYC's new AI ban gets the student-facing/teacher-facing distinction right in principle, but its blanket approach — and the risk of leaving kids with zero AI literacy for a full year — shows why school AI policy needs more nuance than an on/off switch.

From Evidence to Growth: Making Feedback Actually Work

Part 3 of The Evidence-First Observation, a three-part series on new ways to observe teachers in the age of AI.

Don't Score in the Moment: Evaluations That Account for the Full Picture

Part 2 of The Evidence-First Observation, a three-part series on new ways to observe teachers in the age of AI.

Evidence First: Why Great Observation Starts Before the Rating

Part 1 of The Evidence-First Observation, a three-part series on new ways to observe teachers in the age of AI.

The Culture Is the Evaluation

True psychological safety for teachers—and the resulting improvements in retention and student outcomes—depends less on observation protocols and more on building a school culture where educators feel safe and valued as people.1

What AI Should — and Shouldn't — Do in Teacher Evaluation

The technology is moving fast. The question of what it's actually for is moving slower.

It's Not Too Late to Become an Instructional Leader This Year

Instructional leadership doesn't require a fresh start in August—it requires a system that helps principals consistently get into classrooms, provide meaningful feedback, and keep instruction at the center of their leadership.

The Jobs AI Is Taking — And the Ones It's Not — Should Change What We Teach

New labor data draws a sharp line between AI that replaces a task and AI that assists with one. That line should be showing up in our lesson plans.

What If the Coaching Cycle Didn't Start With the Observation?

The most effective coaching isn't built around isolated observations—it's built around continuous evidence collected over time, and AI can free coaches from documentation work so they can focus on the relationships and conversations where real teacher growth happens.

Would You Let Every Teacher Order Their Own Textbook? Then Stop Letting Them Build Their Own AI.

‍The district would never allow it for curriculum. So why are we allowing it for AI?

The Best Coaching Programs Are Also the Smallest Ones — and That's a Problem

The Research Is Thin — and That's Actually Useful Information

A landmark Stanford review found that most AI classroom claims aren't backed by rigorous evidence. Here's how to use that finding to make smarter decisions about the tools on your desk right now.

The Observation Tax: How Much Time Principals Really Spend Evaluating Teachers — And What Happens When You Cut It

Most principals know observation paperwork takes too long. Few have actually counted the hours. We did.

The Magic Problem

The way educators are using AI in the classroom might be exactly why they don't trust it.

The Detector Says "AI." You Still Have to Make the Call.

A run of 2026 research confirms that AI-writing detectors are unreliable and biased. The surprising upside: it puts the most important tool in the classroom — your professional judgment — back where it belongs.

The Evidence-First Observation

For decades, K-12 teacher evaluation has been built around a single event. That event is the wrong unit of measurement — and most educators already know it.

AI Can Boost Test Scores Without Boosting Learning. Two New Reports Explain the Gap.

AI can boost test scores without building understanding. Two new 2026 research reports reveal the gap between performance and genuine learning — and show why pedagogy, not the tool, is the deciding factor.

Teaching in the Age of AI

Kelley Garris introduces her Teaching in the Age of AI blog series with the conviction that AI should serve as a time-saving tool that frees teachers to focus on the irreplaceable human work of teaching—never as a replacement for the professional judgment, care, and connection that only a teacher can provide.

Jeff Bezos to School Leaders: Rethink the way you motivate teams

Jeff Bezos's secret for success: Stop rushing change! Complex school changes need realistic timelines and a coach, not just high standards

The Other AI: Why Awareness and Intention Matter More Than Artificial Intelligence

What AI actually requires from you. It's not about better prompts—it's about knowing what you're looking FOR, not just AT.

AI Isn't the Acronym You Think It Is

Everyone is talking about AI. Fewer people are talking about what AI actually requires from the professional using it.

More Conversations. Better Conversations. The Same Coach.

Great coaching isn't about delivering the right recommendation. It's about being present enough to ask the right question. This is about what becomes possible when AI handles the history — and coaches can finally just focus on the person in front of them.