Keywords
Prompt Engineering, Electracy, GPT, Flash Reason
Abstract
My dissertation introduces the notion of "augmented authorship" and applications for prompt engineering with generative neural networks inspired by Gregory Ulmer's theories of electracy (2003) to the interdisciplinary fields that teach writing and rhetoric. With the goal of inspiring the general practice of electracy, I introduce prompt engineering as practice in flash reason (Ulmer 2008; 2012), a new collective prudence emerging from the apparatus of electracy. By situating electracy and flash reason as threshold concepts in writing studies, and by aligning principles of electracy with ACRL and NCTE digital literacy frameworks, I demonstrate how prompt engineering across modalities can help students meet digital literacy goals, before providing accessible models or "relays" in the form of AI-coauthored texts, course modules, and aesthetic models deployed in the game world Roblox.
Completion Date
2024
Semester
Spring
Committee Chair
Mauer, Barry
Degree
Doctor of Philosophy (Ph.D.)
College
College of Arts and Humanities
Department
Texts & Technology
Format
application/pdf
Identifier
DP0028304
URL
https://purls.library.ucf.edu/go/DP0028304
Language
English
Rights
In copyright
Release Date
May 2029
Length of Campus-only Access
5 years
Access Status
Doctoral Dissertation (Campus-only Access)
Campus Location
Orlando (Main) Campus
STARS Citation
Foley, Christopher, "Prompt Engineering: Toward a Rhetoric and Poetics for Neural Network Augmented Authorship in Composition and Rhetoric" (2024). Graduate Thesis and Dissertation 2023-2024. 135.
https://stars.library.ucf.edu/etd2023/135
Accessibility Status
Meets minimum standards for ETDs/HUTs
Restricted to the UCF community until May 2029; it will then be open access.