Colleagues and friends,
As part of our Exponential Learning Initiative, The Learning Accelerator (TLA) team is working to quickly identify and share lessons from across our network of partners. I’m excited to share our new brief, developed with our research partners at Mathematica, which offers early insights from implementations of our Accelerating Adoption Network across 30+ states.
Perhaps unsurprisingly, our findings reinforce well-established lessons from research on effective edtech and instructional innovation: success depends on strong implementation. Sustained support, alignment with local priorities, and embedded professional learning — not one-off rollouts — remain critical.
At the same time, what stands out in this moment is how early implementations are succeeding despite stretched capacity and competing priorities. Making explicit connections to visible priorities and gnarly problems is a key lever. For example, Coursemojo’s AI-powered platform gives middle schoolers real-time feedback on core ELA assignments, closing the gap between curriculum goals and what teachers can realistically support. Success also hinges on finding the right change agents. At Rock by Rock, implementation has scaled rapidly in microschools by tapping deeply into educator networks. Across grantees like ASU Prep, which is seeking to use AI to boost Algebra proficiency, progress has depended on early planning around tech infrastructure and hands-on support for setup.
For those leading or supporting instructional transformation, this paper offers some concrete takeaways for driving forward amidst what can charitably be called a moment of continued disruption and distraction. It’s never felt more important to bring new resources to tackle persistent challenges and get local implementations right.
In partnership and curiosity,
Beth Rabbitt, Chief Executive Officer (she/her)
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