Institute for Teaching, Innovation, & Inclusive Pedagogy

Peer review of teaching is an important part of the advancement, reappointment, and promotion process for instructors of all ranks.This workshop is primarily designed to prepare reviewers tasked with conducting … Read More

This workshop will explore the Guidelines for Effective Teaching, which adopts a framework showing what effective teaching looks like and encourages faculty to present evidence that shows their strengths across all aspects of teaching. As part of this session, participants evaluate samples of evidence and brainstorm what sources of evidence they can muster to build their … Read More

The Full DIG (Data Integrity Gateway) training session is recommended for department administrators who are newly responsible for validating instructor details for SIRS. This session covers navigating Blue, how to validate instructor details in DIG, and how to make changes during the survey preparation period. This training is not relevant to people who only view SIRS … Read More

This new workshop is a deep dive into what might be the most important piece of a teaching portfolio or teaching statement: the teaching philosophy statement. This reflective and highly … Read More

Are you looking for ways to develop and refine your teaching and diversity statements for academic employment? Then join this interactive workshop that will be facilitated by Dr. Jamie Kim, Assistant Director of Teaching Development at TIIP! You will learn about the common elements of these statements and review sample statements. You will also have … Read More

While students are crucial stakeholders in the university’s teaching enterprise, their feedback should not be mistaken for “evaluation of teaching,” which is a task for instructional colleagues. Student feedback is an indicator which provides evidence that must be interpreted. In this workshop, we explore scholarly research on the limitations and potential biases of student feedback. … Read More

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