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Prompt Engineering: Toward a Rhetoric and Poetics for Neural Network Augmented Authorship in Composition and Rhetoric

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.

Identiferoai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2023-1179
Date01 January 2024
CreatorsFoley, Christopher
PublisherSTARS
Source SetsUniversity of Central Florida
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceGraduate Thesis and Dissertation 2023-2024
RightsIn copyright

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