Save the date: Engineering Teaching Day August 14th, 2024

Join colleagues this August for a day of conversations and workshops about teaching at the third annual engineering teaching day. RSVP here. Topics include:

Working with TAs

Celia Evans (ELI)

Shivaun Archer (BME and MTEI)

TAs can be a vital component of a successful course. Do you wonder whether your course is making the most effective use of the TAs’ value? Come to this workshop to learn about college TA training, expectations TAs have when they join course staff, and best practices to build an effective, engaged, collaborative teaching team.

Incorporating Social and Ethical Issues in Technical Courses

Trystan Goetze (Bovay Program in Engineering Ethics)

Are you considering including relevant ethics content in your courses but struggling with the implementation? This session will introduce several strategies for doing so, and highlight the kinds of support available from the Engineering Ethics Program.

Inclusive Assessments: Strategies for Active Learning with Accommodations

Alex Werth (BME)

Kathy Dimiduk (MTEI)

Learn how Universal Design for Learning (UDL) can be used to create inclusive grading strategies that support student learning, accommodations, and growth. Join a discussion with colleagues to share successes, challenges, and best practices for implementing inclusive assessments in your Active Learning classrooms.

Belonging-Centered Instruction: Convincing Students We’re on the Same Team

Allison Godwin (CBE)

Hadas Ritz (MAE and MTEI)

Do faculty-student interactions sometimes feel adversarial in your courses? That can create unnecessary stress, and isn’t productive for students or faculty. This session introduces belonging-centered instruction techniques that address common challenges in interpersonal interactions and instructional design.

Leveraging Generative AI in Your Courses

Kyle Harms (IS and MTEI)

Are you wondering how you can help your students use generative AI in your courses? In this workshop, we’ll practice setting up a local generative AI installation and contextualize its output using your course materials. This includes an exploration of creating class activities and materials to encourage your students to interact with the course topics responsibly using the local generative AI. We’ll also discuss some of the risks, and limitations, of this approach. Specifically, we’ll briefly share some of the intellectual property and FERPA concerns with using popular generative AI tools, like ChatGPT, and how this approach might be a viable alternative in your courses.