Using AI as a Thought Partner to Improve Professional Learning

This weekend I had the opportunity to present at the China and Hong Kong Meet & Online Professional Development Session hosted by Toddle. It was a wonderful experience connecting with educators across the region and exploring an idea that has been shaping my thinking over the past year: how AI can support deeper professional learning when it is used as a thought partner rather than simply a tool.

During the session I introduced the T.A.L.K. Framework, a simple conversational scaffold designed to help educators and leaders use AI to sharpen their thinking rather than replace it. The framework grew out of my own experience working with AI over time. I noticed that the most valuable interactions were not the ones where I asked AI to produce something quickly, but the ones where I slowed down and thought with it through conversation.

The presentation explored a shift that I believe is becoming increasingly important in education.

Too often AI is used primarily for efficiency: drafting emails, creating lesson plans, summarizing documents, or producing materials quickly. These uses are helpful, but if we stop there we miss one of the most powerful opportunities AI offers: supporting professional thinking.

Professional learning has always been most effective when it is active, reflective, and connected to real challenges educators face. Research on professional development consistently highlights several characteristics that lead to meaningful change in practice:

• learning that is job-embedded and connected to real problems
• opportunities for reflection and dialogue
• teacher autonomy and ownership over professional growth
• ongoing learning that happens at the point of need

When used thoughtfully, AI can support all of these conditions.

This is where the T.A.L.K. Framework comes in.

Rather than focusing on prompts or technical workflows, TALK encourages educators to interact with AI in a way that mirrors the way we naturally think through ideas with colleagues.

T – Talk It Out
Start by explaining your challenge, question, or idea just as you would to a colleague. Thinking out loud helps clarify assumptions and surfaces the real problem you are trying to solve.

A – Ask, Explore, Wonder
Use curiosity to explore possibilities. Ask questions about student misconceptions, alternative approaches, or tensions you might not have considered.

L – Listen, Then Push Back
Treat AI responses as ideas rather than instructions. Reflect, challenge, refine, and adapt suggestions so they fit your context and professional judgment.

K – Keep It Going… Then Create
Once the thinking is clear, move toward creating something practical: a lesson, an assessment idea, a leadership document, or a strategic outline.

What makes this powerful for professional development is that it transforms AI from a task generator into a thinking partner.

Instead of starting with “create a lesson plan,” the conversation begins with questions like:

Why are students struggling with this concept?
What misconceptions might they have?
What might this look like in another grade level?
What assumptions am I making about learning here?

This kind of dialogue mirrors the most effective forms of professional learning: coaching conversations, collaborative inquiry, and reflective practice.

It also supports a key shift in how professional development happens.

Traditionally, professional development has often relied on scheduled workshops or presentations. While these can be useful, they rarely provide the continuous reflection and experimentation that leads to lasting change.

Using AI through a conversational framework like TALK allows professional learning to become ongoing, embedded, and responsive to real classroom challenges.

A teacher planning a unit can think through instructional dilemmas with AI.
A leader preparing for a strategic conversation can explore multiple perspectives before meeting with their team.
A department can use AI dialogue to examine assumptions about assessment or curriculum alignment.

In each case, AI does not replace professional judgment. Instead, it helps make thinking visible and more deliberate.

One of the most important ideas I shared during the session was what I often call the 80–20 rule of AI in education:

We can let AI do 80% of the work, as long as educators own the 20% that requires judgment, context, and responsibility.

That final 20 percent is where professional expertise lives. It is also where the real learning happens.

If AI becomes a shortcut, professional growth shrinks.

But if AI becomes a thought partner, professional growth expands.

My hope is that frameworks like TALK can help educators feel less intimidated by AI and more empowered to use it in ways that deepen professional learning, strengthen reflection, and support better decisions for students.

Because in the end, the most powerful use of AI in education is not replacing human thinking.

It is helping us think better together.

I had NoteBookLM create a fabulous infographic to visualize this.

Thank you for reading

Dr. Shannon H. Doak

An AI Thought Partner helped me write this post.