“We envision a world where teaching is unrestricted—enabled by open resources, enriched by technology, and built by and for the community.”

As AI becomes increasingly embedded in educational practice, the core challenge is not simply harnessing automation, but ensuring it strengthens human creativity, purpose, and equity in teaching and learning.

This session will explore how Sylla uses AI to drive positive change by matching high quality Open Educational Resources (OER) to institutions’ teaching and learning needs. This makes it easier than ever for librarians and educators to find and adopt OER relevant to their teaching and learning. This approach empowers faculty and librarians to rethink learning resources as flexible design materials rather than static textbooks. By mixing and matching chapters, articles, and other open assets, educators can collaboratively build innovative, dynamic, personalized materials aligned with learning goals and local needs.

Participants will learn how Sylla’s matching algorithm can provide a 360° view of how OER maps onto an institution’s existing curriculum, analyze course catalogs, bookstore data, and reading lists to identify thousands of potential OER adoption opportunities. Empowered by data, librarians and faculty can use their domain expertise to quickly spot low-hanging fruit in disciplines where there is a rich pool of content and where peer universities have already switched from traditional static textbooks to dynamic OER. 

Through a real-world example, the audience will see how machine learning supports—rather than replaces—human expertise, enabling collaboration, informed decision-making, and sustainable open content strategies. Blending demonstrations, success stories and audience discussion, this session offers a vision of how AI can accelerate meaningful progress toward affordable, accessible, inclusive, and creatively designed learning environments supporting every institution on its pathway to 100% OER.