This piece originally appeared on the Alliance for Learning Innovation blog.
The Trump administration’s ongoing reforms of the federal education research and development enterprise have challenged the Alliance for Learning Innovation and all education stakeholders working to leverage research and best practices to improve learning opportunities for American students. While I am optimistic that the Trump administration and Congress will capitalize on the opportunity to rebuild an education R&D enterprise that is more responsive to the needs of students, I am also confident existing research can be better used to improve education today.
In a recent article, “Can AI Bridge Education’s Research-to-Practice Gap?” Learn Capital’s Matthew Barry presented a vision for an AI tool to make education research findings more accessible. Barry describes the tool as “ChatGPT meets JSTOR”:
At its core, the Learning Science Evidence Hub is a next-generation knowledge platform that democratizes access to learning science research. It transforms dense academic findings into practical, actionable insights for anyone making educational decisions—from classroom teachers to product developers, parents to policymakers. The Hub isn’t just a database or search engine. It’s an intelligent system that understands context, synthesizes across studies, and translates complex research into clear recommendations tailored to specific situations and needs.
Continue reading on the Alliance for Learning Innovation blog.
