5 powerful planning habits we built with Toddle AI

Layal Tayara
PYP Coordinator, International College, Ras Beirut

I’ve been a PYP coordinator for several years now. And one pattern I’ve observed consistently is that when PYP teams get busy (which is practically always), deep, intentional planning is always the first thing to get squeezed.

Our teachers at International College Ras Beirut care deeply about building meaningful, inquiry-driven learning experiences. But we’re also part of a big, fast-paced school. We teach over 30 units across Grades 1–5,  finding the time to pause and plan deeper often ended up lower on the list than we’d like.

Even when we first looked at Toddle AI, it was from a very practical place. I thought it might help us pick up pace, maybe save a bit of time. And it did. But what followed surprised me in ways far beyond that. 

Here are five powerful habits Toddle AI has helped us build.

Habit 1: Building a continuous reflection loop into our planning process

We had just finished our first full cycle with a new POI, and wanted to evaluate which learning experiences to carry forward. As our first experiment, I asked teachers to run their learning experiences through Toddle AI before we met. And the energy in the staffroom shifted completely.

What would usually be a 20-minute conversation about improving a learning experience was now being generated by Toddle AI in seconds. 

The feedback felt like it came from an experienced PYP educator. For each LE, Toddle AI highlighted what was working, appreciated teachers on the choices they’d made (which told us it really understood the thinking behind them), and offered very thoughtful suggestions on what to improve. 

But more importantly, it shifted the way I could support my team. Teachers came to meetings with stronger lesson plans and deeper ownership of their work, and we used our time together for deeper conversations.

Here’s a quick video on how I used Toddle AI to evaluate and improve my learning experiences. Notice how thoughtful and actionable the feedback is! 

Before Toddle AI, evaluating our learning experiences was something we rarely had time for. Now, it’s a habit we’ve built into our process.

Habit 2: We spent the same 20 minutes generating 10x more ideas for LEs

In the early planning stages, Toddle AI became a wellspring of creativity for our team. 

On our own, we’d typically have time to explore 2-3 learning experiences per topic before needing to finalize a plan. But with AI, that ceiling disappeared.

We’d type in a learning goal, and spend the 15-20 minutes we usually spent brainstorming on our own to prompt Toddle AI. In that same time, we could generate 10, 20, even 30 concrete ideas to choose from. 

It felt like brainstorming with a colleague who never ran out of ideas. And when you have that kind of  a thought partner, it pushes your own thinking too. That’s exactly what happened. Teachers started wanting to make every LE they built more creative and engaging, and it showed in classrooms.

Take a look at how my colleague and fellow PYP educator, Ms. Salwa Bashir, used Toddle AI to brainstorm ideas to tune into her unit.

Habit 3: We weren’t planning for the middle anymore. Differentiation became achievable.

I’ve got a fantastic team of teachers who constantly read the room and adjust tasks to support learners as they go. But when we looked at our lesson plans, that thinking wasn’t built in from the start.

Like many PYP teams, we just didn’t have the time. Planning one strong lesson takes enough out of you. Planning 20 different versions for 20 different learning needs wasn’t something we could afford every week. 

Toddle AI shifted this completely.

Teachers now use it to differentiate during the planning phase. By readiness, interest, learning preferences, process, product, whatever the class calls for. And within minutes, they have several variations of a learning experience ready to assign to individual students or groups.

Take a look at how I was able to differentiate a learning experience for learner preferences within minutes:

Habit 4: Integrating PYP elements was no longer just a box to tick

Take ATL skills, for example. Every teacher at our school values them. But planning for them often ended up being a checkbox mainly because we already had strong learning experiences in place and didn’t want to adjust too much “just for that”. Toddle AI helped us change that.

As teachers were building their learning experiences, they’d simply select the ATLs they wanted to focus on. And Toddle AI would then generate multiple activity ideas that naturally supported those skills, while also staying aligned with the content we needed to deliver. 

It was doing the kind of complex, integrated thinking that’s often hard to hold all at once when planning. That to me was amazing.

Here’s an example of my colleague and fellow PYP educator, Ms. Marianne Aoun, using Toddle AI to make meaningful skill connections in her learning experience.

Habit 5: Time spent creating rubrics was practically zeroed

Rubric creation used to be a time sink. Teachers often defaulted to templates, but rarely felt confident that their rubrics truly aligned with the unit’s goals. 

Now, they simply choose the relevant lines of inquiry or concepts, and Toddle AI generates a rubric that’s specific to the task, written in student-friendly language. What used to take us 30–40 minutes now takes less than a minute. And that’s not even the biggest shift.

I’ve seen teachers read a Toddle AI-generated rubric and go back to adjust their learning experience because the criteria helped them see more clearly what they were actually asking of students. 

It sharpened expectations and improved the learning experience itself. Take a look below.

What Toddle AI helped us do at each step of planning

What Toddle AI has changed for me personally

Before Toddle AI, I used to spend hours reviewing learning experiences, checking for alignment, suggesting ideas, looking for better resources.

This year, my role feels different. Teachers are empowered. They’re designing richer experiences, faster. And I get to be where I’ve always wanted to be: in classrooms, side by side with them, supporting implementation not rewriting from behind a screen. That’s the real win.

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