Institute for Teaching, Innovation, & Inclusive Pedagogy

The outputs of generative artificial intelligence (GenAI) might seem objective, but they are reflective of the datasets on which they are trained and their respective algorithms. Therefore, they might contain information that is inaccurate, biased, or misleading. During this interactive session, we will explore what is known about bias and GenAI and potential conversations that … Read More

This first virtual workshop in a two-part series will introduce you to the basics of generative AI as a tool for teaching and learning. We will explore the range of … Read More

The National Academies of Sciences, Engineering, and Medicine convened an ad hoc committee to develop a framework for "equitable and effective teaching in undergraduate STEM and identify policies and practices at the departmental, programmatic, and institutional levels that can facilitate implementation of the principles." STEM faculty, department chairs, program directors, administrators, and students are invited … Read More

The second virtual workshop in the series is intended to facilitate thinking through the impact of AI on your course design, especially your assignments. We will provide examples of assignments enriched by AI and provide guidelines for determining which assignments are better off left AI-free. By the end of the workshop, you will have practical … Read More

In this virtual workshop we will guide faculty to critically evaluate AI tools before integrating them into their teaching- paying attention to whether the tool could reinforce societal biases. The … Read More

While AI holds the potential to personalize and enhance learning experiences, there is a risk that overreliance on these tools could erode the human interactions that are at the heart … Read More

This virtual session will explore strategies and guidelines for writing and evaluating meaningful and high quality alt-text, an essential element of course accessibility. AI tools can serve as a time-saving … Read More