Teaching and Learning with AI Conference

ChatGPT changed the landscape of Higher Education, but was it avoidable? Historical context in Higher Ed’s adoption of past technologies can inform where we’ve gone wrong in the last 60 years, and where we’ve gone right. AI may not have started the fire, but it certainly put a microscope to the issues of Higher Ed. Ones that if we look closely enough can teach us how to adequately adapt and make the next AI-pocalypse or technological shift easier. Generative AI may have a lot to answer for - but maybe not all that we blame it for.

Understanding the intersection between AI and culture is important. Culture shapes the development and usage of AI, and it should be central in discussions about AI ethics, but is rarely targeted by guardrails. The lens of AI as a cultural artifact addresses large-scale questions about data sovereignty, language preservation, and worldviews represented in training data, as well as more practical questions about how to build AI fluency and how to frame AI for multicultural student populations. Attendees will learn to critically analyze AI through a cultural lens, and they will leave with practical activities for engaging students in culturally-centered AI.

As artificial intelligence becomes increasingly embedded in education, faculty must move beyond awareness toward purposeful, ethical, and inclusive classroom application. This session introduces an “AI Toolbox” approach that helps instructors select, evaluate, and deploy AI tools to support diverse learners, instructional goals, and assessment strategies. Participants will explore examples of AI use for content creation, accessibility, formative feedback, and student engagement while maintaining academic integrity and pedagogical rigor.#AIinEducation #FacultyDevelopment #InclusiveTeaching