We’re Talking About AI in Education. But Are We Actually Using It to Teach?
By: Amelia - Teacher, Campus AI Coach, and Co-Founder
There is no shortage of conversation about AI in education right now.
Everywhere you look, there are frameworks, tools, predictions, and opinions about what teachers should do, what students need, and what schools must become.
But sitting in classrooms every day, I keep coming back to a different question: Are we actually using AI to teach?
AI Is Already in Classrooms, But at the Surface Level
In many classrooms, AI is already present, but it’s being used at the surface level.
Teachers are using it to save time.
Students are using it to get answers.
And while both of those uses are understandable, they miss something much bigger.
AI is not just a productivity assist. It is an instructional goldmine.
But that shift requires something different from teachers.
It requires us to stop asking, “How can AI help me?” and start asking, “How can I teach students to use AI in ways that deepen their thinking?”
This is where I see the disconnect.
There is a lot of advice about AI coming from outside the classroom. Some of it is helpful. Some of it is thoughtful. But much of it skips over the reality of what it actually looks like to implement these ideas with real students, in real time, within real constraints.
At the same time, many teachers are not yet seeing AI as a meaningful instructional shift. They see AI as something that saves time, not something that transforms learning.
And that’s where we risk missing the bigger picture.
We are focusing on the tools, not the thinking.
In many ways, the conversation around AI has outpaced classroom implementation. I sometimes wonder how much of that is because the conversation is not always grounded in the realities of daily teaching and learning.
What This Looks Like in Practice
In my own classroom, I am trying to approach AI differently.
Recently, I used structured AI to provide targeted feedback on student writing, offering each student a clear “glow and grow.”
What mattered most wasn’t the efficiency.
While AI is often used to save time, I’ve been exploring how it can also expand what’s possible in the classroom.
It was what happened next.
Students read the feedback. They responded. They identified what they would revise and apply moving forward.
The thinking didn’t stop with the AI response. It started there.
That is the shift.
AI should not replace thinking. It should create more opportunities for it.
Moving from Conversation to Practice
If teachers understood the potential of AI in education, and the importance of explicitly teaching students how to use it appropriately, it would change everything.
This is not a passing trend.
AI is not going away.
If we do not teach students how to engage with it thoughtfully, critically, and responsibly, we are leaving a gap in their education that will matter far beyond our classrooms.
The conversation around AI is not the problem.
But conversation alone is not enough.
At some point, we have to move from talking about AI, to using it in ways that actually support learning.