How academic libraries scale course support with AI
New whitepaper available
Embedding library collections into courses in the age of Academic AI
Academic libraries invest heavily in collections that support teaching and learning. Yet many of these resources never make it into course syllabi. Faculty often assemble readings under tight deadlines and outside library systems, which can delay student access, increase costs and create significant manual work for library staff.
“We didn’t want materials to get lost or to clog up our learning management system (LMS). We were thrilled to learn that Leganto resource lists could be rolled over in parallel with their courses from semester to semester. What a time-saver!”
Sarah Bateup, Faculty Librarian, Health Sciences and Medicine, Bond University
This new whitepaper examines how libraries are addressing this challenge by bringing library expertise earlier into syllabus creation. Drawing on findings from a global Academic AI Impact Study* and library testimonials, the paper describes how the Leganto AI Syllabus Assistant helps libraries engage at the course planning stage without disrupting established faculty workflows.
*Source: Academic AI Impact Study | Clarivate
Download the whitepaper to see how libraries are:
Supporting two to four times more courses
Delivering required materials to students earlier, while keeping professional review and quality firmly in librarians’ hands
• Improving affordability and accessibility by embedding licensed and open resources directly into reading lists
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