Generative AI is the most influential technology in writing in decades—nothing since the word processor has promised as much impact. Publicly-accessible Large Language Models (LLMs) such as ChatGPT have enabled students, teachers, and professional writers to generate writing indirectly, via prompts, and this writing can be calibrated for different audiences, contexts and genres. Published this August, TextGenEd: Teaching with Text Generation Technologies (eds. Annette Vee, Tim Laquintano, and Carly Schnitzler) collects early experiments in pedagogy with generative text technology, including but not limited to AI. The fully open access and peer-reviewed collection features 34 undergraduate-level assignments to support students' AI literacy, rhetorical and ethical engagements, creative exploration, and professional writing text gen technology, along with an Introduction to guide instructors' understanding and their selection of what to emphasize in their courses. 

On Friday, September 29 at 1PM Eastern, we (virtually!) celebrate the launch of the collection with the many authors and editors who made it possible. Authors will briefly share their innovative experiments in teaching and, after, we will discuss the current state of teaching with text generation technologies, its potential future(s), and our continuing pedagogical experiments. Hear from Bhushan Aryal, Antonio Byrd, Gabriel Egan, Doug Eyman, Jason Crider, Daniel Hutchinson and Erin Jensen, Heidi McKee, Huiling Ding, Mark Marino, Natalie Goodman, Mark Sample, Zach Whalen, and Marc Watkins, and editors Annette Vee, Tim Laquintano, and Carly Schnitzler.

This event will be hosted over Zoom on Friday, September 29 at 1PM Eastern. We will send out the Zoom link for the event and all relevant materials to the email addresses provided below.

This event is also a part of If, Then: Technology and Poetics, a collaborative, public, and interdisciplinary virtual working group and workshop series promoting inclusivity and skills-building in creative computation. Check out our website here and get in touch with Carly Schnitzler (cschnit1@jh.edu) or Lillian-Yvonne Bertram (lyb@umd.edu) with any questions or suggestions.