“The Generative AI Game is Afoot” is a Sherlock Holmes-themed workshop series developed to explore generative AI through a librarian-designed pedagogical framework that merges creativity, ethical inquiry, and critical evaluation. The program reimagines learners as detectives using information literacy as their magnifying glass to uncover how generative AI tools can be leveraged and critiqued in academic contexts. It positions educators as co-investigators leading students toward more informed and critically engaged uses of AI. This session shares insights from the development and implementation of an active-learning based four-part workshop series that culminates in an open forum.#Themed-instruction#Workshop#Critical-engagement
As artificial intelligence reshapes higher education, institutional leaders face pivotal decisions about governance, resource allocation, and academic preparation. This session addresses three critical leadership challenges: establishing governance structures that empower innovation while maintaining institutional oversight, developing compelling investment strategies that secure stakeholder support, and aligning curricula to prepare graduates for an AI-integrated world. Through practical frameworks and case examples, participants will learn how to communicate a clear AI vision, build broad-based support among faculty and boards, and establish their institutions as models for responsible AI innovation.
Building applications without programming expertise or tech background can be challenging, but no/low-code tools now enable anyone to create AI-powered solutions and bring their ideas to life. Our hands on workshop will introduce educators from a variety of different backgrounds to vibe coding tools. Lovable.dev, and Google AI Studio, as no-code platforms that enable AI application development using natural language prompts. Participants can develop any creative applications of their choice or relevant to their disciplines. By engaging in this process, participants will explore how AI can enhance creativity, design thinking, and entrepreneurial mindset among themselves and their students.
The best way to fix your assignments is to break them first. Participants will use AI and other student-accessible tools to stress test their own assessments, revealing which assignments measure learning and which measure prompt-writing skills. Faculty leave understanding their course vulnerabilities and AI's real capabilities. Participants should bring a laptop and 2-3 course assignments to work with during the session.
