AI Faculty Working Group

A working group for exploring ways to respond to Generative AI in their teaching

A new Faculty Working Group, Exploring Generative AI for Teaching and Learning will take place over the 2023/24 academic year, funded by the University Council on Teaching and led by CDIL with support from the Center for Teaching Excellence.

The Working Group’s focus is to introduce faculty to Generative AI and to assist in the development of approaches to participants’ Spring 2024 courses to accommodate whatever form of response faculty deem appropriate. 

Generative AI tools have emerged over the past few months as a challenge to how faculty teach and how students learn in higher education. The working group does not require any prior experience with Generative AI and begins with a hands-on introduction to the fundamentals of the technology. The working group will then guide and support participants as they develop approaches to Generative AI in their teaching practice.

Faculty are expected to share their learnings with the wider BC faculty community to help others confront the challenge of Generative AI to their teaching practice, whatever form that might take.  


In this working group, participants will focus on learning about Generative AI and designing their approach to it in the Fall semester. During this period, depending on the size of the project proposed, participants should spend no more than 2-4 hours per week of their time. The working group will meet face-to-face every month, with additional meetings taking place with staff from CDIL and CTE as needed.

For the spring semester, the working group will then focus on implementing the changes in courses and gathering student feedback in a structured way to evaluate the efficacy of the digital learning experience.

The working group follows a similar format to others working groups facilitated by CDIL in the past two academic years. Faculty participants have reported that having the time, space, and support to think, practice, test, and implement ideas about their teaching practice with colleagues from BC has been of incredible benefit to them. 


  • Beth McNutt-Clark (Nursing)
  • Dana Sajdi (History)
  • Fang Lu (ESGS)
  • Lauren Wilwerding (English) 
  • Mary Ann Hinsdale (Theology)
  • Vin Cho (Lynch)
  • Kathy Bailey (Politics)
  • Paula Mathieu (English)
  • Ginny Reinburg (History)
  • George Wyner (Business Analytics)
  • Catherine Conohan (Nursing)
  • Elisa Magri (Philosophy)
  • Tim Muldoon (Philosophy)
  • Joan Ryan (Leadership)
  • Joy Field (Business Analytics)
  • Arvind Sharma (Applied Economics)
  • Tony Lin (ESGS)
  • Vanessa Conzon (Management & Organization)
  • Tristan Johnson (Woods UG)

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