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Title: 

Educating Ourselves and A Large Language Model: Researching the Affordances and Limitations of Generative Artificial Intelligence in a Theatre/Drama Curricula

Authors: Petersen Jensen, Amy
Keywords: Generative Artificial Intelligence in drama curriculum
Issue Date: Dec-2024
Publisher: New York University
Series/Report no.: Volume 11 Issue 2;
Abstract: The integration of Generative Artificial Intelligence (GenAI) into the development of theatre/drama curricula offers a multitude of opportunities, and simultaneously presents complex challenges. This article explores the potential benefits and complications of utilizing AI in the development of theatre/drama curriculum, emphasizing the critical need for innovative research practices to maximize AI's effectiveness in pedagogy. I assert that ongoing exploration and research is imperative to identify best practices in the nascent relationship between AI and educators. I describe the efforts of BYU Theatre Education faculty to explore AI-driven content curation and recommendation algorithms as a means of strengthening curriculum design. I assert that this can only happen when Artificial Intelligence directives are paired with informed, embodied, decision-making processes that preserve the richness of drama pedagogies.
URI: http://hdl.handle.net/2451/75125
ISSN: 1552-5236
DOI: https://doi.org/10.33682/e847-hjb6
Rights: ArtsPraxis is published by the NYU Steinhardt Program in Educational Theatre; author(s) retain copyright of the work though they have given irrevocable right to reproduce, transmit, distribute, make available through an archive, sell, and otherwise use the Accepted Contribution as it is published in the Journal.
Appears in Collections:ArtsPraxis Volume 11, Issue 2



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