As generative AI reshapes the landscape of higher education, libraries are uniquely positioned to respond, not only by supporting the ethical use of AI, but also by fostering student-centered, critically engaged learning experiences that go beyond algorithmic shortcuts. In this webcast, we will explore innovative approaches to AI and student research, with a focus on the value of primary sources. In a world where technology can automate information retrieval, primary sources offer the transparency, context, and critical inquiry that build the very skills employers value most, curiosity, analytical thinking, and the ability to question and interpret data. This session examines: Utilizing digitized primary sources and special collections to design assignments that prioritize critical thinking and information literacy Leveraging the library as a hub for teaching AI literacy Implementing research practices that humanize technology’s role through collaborative curriculum design Presenters will highlight how inquiry-based learning, rooted in primary source engagement and cross-disciplinary partnerships, can reduce overreliance on AI tools and empower students to navigate them with agency, care, and creativity. Presenters: Karen Jackson, Research and Academic Support Manager, University of Warwick Anne Kingsley, Dean of Educational Technology, Library, and Learning Resources, Diablo Valley College Emily Moss, Teaching and Learning Librarian, Diablo Valley College Moderator: Ben Lacey, Head of Engagement, AM |
