.png)
The research is clear. Decades of cognitive science have given us reliable insights into how learning happens: retrieval practice strengthens memory, cognitive load matters, prior knowledge is the foundation for new learning, and effortful thinking creates durable understanding.
If you've been following Learning Forward's recent work on the science of learning, you've read Jim Heal and Margaret Lee's articulation of these principles as a "blueprint for instructional improvement." You've seen Michael-Joseph Mercanti-Anthony's guidance on introducing these concepts without triggering cynicism about the "next big thing."
Here's the tension: most districts now know this research. The problem is that knowing doesn't translate into doing—especially at scale.
Consider what Heal and Lee describe: teachers need to understand principles before strategies, coaches need evidence-informed frameworks, principals need to see patterns across classrooms, and district leaders need coherence across initiatives.
Each of those requires systems that connect professional learning to classroom practice and surface patterns that would otherwise stay invisible.
When Colorado Springs School District 11 started this work, they were building PD around gut feelings rather than classroom data. After implementing KickUp, they logged over 2,000 classroom walkthroughs in three months by connecting professional learning, coaching, and observations. More importantly, they could finally see whether instructional strategies from PD were showing up in classrooms—and where they weren't. Read their story here →
1. Making prior knowledge visible
One foundational principle Heal and Lee discuss is that new learning requires relevant prior knowledge. For professional learning, this means knowing what support each teacher has already received.
When Bastrop ISD integrated their PD, coaching, and evaluation systems, Director Rachel Roepke noted: "It's a completely different level of coherence." Instead of building new PD in isolation, leaders could see each teacher's complete support history and design learning accordingly. Read their story here →
2. Reducing cognitive load for instructional leaders
When principals spend hours manually scripting observations or hunting through scattered systems, they're cognitively overwhelmed before they get to the instructional feedback that matters.
Districts using KickUp’s AI-assisted observation tools report up to 80% reduction in documentation time—freeing up cognitive bandwidth for what Heal and Lee call "effortful thinking" about instruction rather than documentation.
3. Enabling retrieval practice through structured cycles
Retrieval practice is one of the most well-established principles in cognitive science. For adult learners, this means structured opportunities to revisit and apply concepts over time, not one-and-done PD sessions.
When systems track which teachers attended which sessions, document coaching follow-up, and capture what's showing up in practice, districts can design learning that builds rather than starts from scratch each year.
Districts making this shift share a pattern: they've moved from fragmented tools to integrated systems that connect what teachers learn, how they're supported, and what happens in classrooms.
Twin Rivers USD reported a 75% reduction in PD administrative time—not because they cut corners, but because teachers could access their own transcripts, facilitators could manage sessions, and leaders could see patterns without manual reports. Read their story here →
This isn't about technology for technology's sake. It's about removing friction between knowing the science of learning and implementing it district-wide.
The next frontier isn't just tracking what's happening—it's giving instructional leaders the intelligence they need to respond in real time. On June 2, we're hosting a live session on how districts are using these capabilities to help their leaders operate at a level the role has always demanded but the tools have never supported—where the platform does the synthesis so leaders can do the thinking that changes practice.
If you're thinking about how to operationalize the science of learning—not just as a framework but as lived practice—join us for that conversation.
The science of learning gives us the blueprint. The question is whether your systems are built to support it.
Schedule a demo with one of our friendly team members.
.png)