Please join us for a virtual launch event for TextGenEd on Friday, September 29 @1PM Eastern.
Please RSVP at the link here and share with anyone you think might be interested!.
At the event, 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, Jentery Sayers, Gabriel Egan, Doug Eyman, Jason Crider, Daniel Hutchinson and Erin Jensen, Heidi McKee, Huiling Ding, Mark Marino, Natalie Goodman, and Marc Watkins, and editors Annette Vee, Tim Laquintano, and me (Carly Schnitzler).
A little about the collection: 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.
Dr. Kristen Welch, Professor of English, Spartanburg Methodist College
Associate Publisher for Marketing and Advancement, WAC Clearinghouse