Participants will engage with one to two brief, realistic classroom management scenarios supported by AI-generated case narratives and role-based personas. Through guided prompts and short small-group or think-pair-share discussion, attendees will analyze decision points, discuss how different responses lead to different consequences, and reflect on how similar simulations could support faculty judgment and preparation in their own teaching or professional development contexts.
As artificial intelligence (AI) becomes increasingly embedded in higher education, many institutions focus on tools while overlooking a more fundamental question: Are faculty and instructional designers truly ready to teach with AI? Drawing on multi-phase qualitative evidence from faculty discourse and conference based open table discussions, this session introduces a socio-technical perspective on AI readiness. Participants will explore key tensions shaping AI adoption, including productivity, academic integrity, workload, and policy clarity, and engage in guided discussion about what meaningful readiness looks like in their own institutional contexts.#AIReadiness #FacultyDevelopment #TeachingWithAI
What happens when you use AI as both a research tool and an object of critical inquiry? We’ll hear about practical strategies from a flipped honors course where students used AI alongside traditional research methods. We'll explore in-class activities like comparing traditional database searches with AI-powered tools, students evaluating their own annotations against AI-generated versions, document analysis using multiple AI models, and ethical discussions about AI implementation. By teaching evaluation frameworks that work for any source and structuring activities and assignments for practice, we can help students develop critical thinking skills that will remain relevant as AI continues to evolve. #AI-tools-in-class #infolit #critical-thinking
