I remember the first time I sat down in front of an Adobe product…it wasn’t exactly a walk in the park. How many of us truly use all the features built into Microsoft Word? I mean, I’ve been deep in the Ed‑Tech field since 2010, and using technology in the classroom since I became a teacher back in 1997. I’ve watched the introduction of literally hundreds of new tools.
Whenever a new tool arrives, the early adopters jump in, then eventually it moves through the adoption curve. But what I’ve seen is this: most tools are complicated; they come with a steep learning curve. For busy teachers, it often feels like one more thing that might improve learning, but maybe won’t. And so many decide: “Nah….I just don’t have time right now.”
Technology shouldn’t force us humans to do things its way. For technology to really help educators, reducing workload, supporting learning, it should be invisible. It shouldn’t feel like a chore to learn. It shouldn’t take months of training and a budget to become proficient.
Back in 2022 when ChatGPT (and generative AI more broadly) arrived in public view, a new kind of tool landed in our world. Because of our history with “new” tools, many educators didn’t dive in right away. The pioneers and early adopters did…but many others hesitated. For those who didn’t hesitate, and jumped right in: IT WAS MIND‑BLOWING!
This was different. But, even so, our reflex was the same: “Okay, there must be a new skill I need to learn. I have to spend hours mastering this skill in order to use the tool well.” So the acronyms emerged… prompt engineering, fine‑tuning inputs, using templates, teaching “Prompt Engineering” in schools because it might be a future job path.
Yes…these ideas are meaningful. They help ensure quality output. But they still assume: you must learn and consciously think about how you’re using AI every time. That assumes the tool is something beside you, not something that flows with your thinking. It limits what you do with AI just to “let the tool create something.”
I wasn’t sure about the need for prompt engineering. Honestly? I thought it was a waste of time. I tried a few tactics, but it didn’t feel natural to me.
Being me, I am big on having meaningful conversations around important topics—deepening my own understanding and expanding knowledge. And so I decided to try something different with AI. Instead of using a highly refined prompt that I cared about just right, I began having conversations with the AI.
And the result? 💥 MIND‑BLOWING!
AI became something I could use to expand my own thinking, do things I never could do before, and the kicker… I didn’t have to “learn” how to use it. I didn’t have to master some new acronym. I didn’t have to strategize every time I used it. I just had to TALK to it, like I would a person I wanted to carry on a conversation with.
What I discovered: when I changed my mindset and used AI by talking, the results…when I did decide to create something…were spot on. Nearly perfect. I didn’t have to agonize over whether I’d forgotten an important detail in my “engineered prompt.”
I began telling others. They started using it this way too. In fact, Alex McMillan was inspired by this idea which led to the creating of the Think, Generate, Edit Framework introduced in his book “AI-Enhanced Processes” which is as a collection of instructional routines inspired by Project Zero at the Harvard Graduate School of Education, like Thinking Routines, but using language redesigned for the AI era. My method was impacting other, but I was only sharing it with others when the need arose through conversation.
One day I was chatting with Clint Hamada and he asked: “How do you explain this to teachers? How do you ensure they understand what you mean by, ‘Just TALK to it’?”
That conversation inspired the creation of the TALK Framework.
Now, I know what you’re thinking: “Great, another acronym to learn!” Yes, it is an acronym, but hear me out: once you go through the process once, you never have to think about the acronym again. Because it’s not asking you to become an AI expert…it’s reminding you to use AI in a way that is already natural to you.
If you can TALK to a person and carry on a conversation,I promise you, you can use the TALK Framework.
Why the TALK Framework Matters
- It honors how humans naturally work, not how the tool wants us to work.
- It reduces the barrier. Busy educators don’t need to spend weeks learning a new language.
- It shifts AI from “tool I must learn” → “partner I converse with.”
- It preserves agency: you’re in the driver’s seat, not the technology.
- It opens more possibilities than just “let the AI make something for me.” It lets you explore, inquire, reflect, build.
A Bit More Context: My Tech Journey
From 1997 onward, I’ve used tech in classrooms, first as a teacher, then deeply in ed‑tech. I’ve seen roll‑outs of countless platforms: LMSs, interactive whiteboards, gamified tools, mobile apps, VR, AR. Most came with training sessions, manuals, checklists. Teachers often asked: “Will this actually change learning? Is it worth my time?”
When we look at adoption curves, early adopters were excited, but the majority held back. Why? Because new tools often signalled: “Here’s something extra you must learn on top of everything else you do.” That’s a hard ask.
But generative AI changed the game. It wasn’t just “another tool” with another interface, it was a new relationship. And once I recognized that, I shifted from trying to engineer prompts “just right” to conversing. And that shift became the core of TALK.
What the TALK Framework Stands For
I won’t dive deep into every letter here as I have already in this post, “The TALK Framework: Thinking, Creating, and Learning with AI” (you can even download a free PDF of the TALK Framework there). The essence is: the acronym serves as a gentle scaffold for educators to remember how to engage with AI in a human-centered way. It boxes the process without boxing your creative freedom.
Because what we want isn’t “another rigid process” but a framework that meets you where you are. If you already talk, ask questions, reflect….great! Then you can apply TALK to your work with AI.
Invitation
So if you’re a teacher, a practitioner, a school leader wondering: “Can I use generative AI without becoming a prompt engineer?”….the answer is yes. You don’t need a new lease on skills. You just need a conversation.
I want to end today’s post with a video.
Thanks for reading!
Dr. Shannon H. Doak
Discover more from www.DrShannonDoak.com
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