Use of AI-Generated Visual Media in Interviews to Understand Power Differentials in Gender, Romantic, and Sexual Minority Students

Madeleine Jennings, Jorge Sandoval, Jeanne Sanders, Mirka Koro, Nadia Kellam, Suren Jayasuriya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work-in-progress briefly outlines the theoretical background, methods, and preliminary results of a qualitative study conducted with gender, romantic, and sexual minority (GRSM) students immersed in higher education spaces. We elaborate on the efficacy of our innovative qualitative methodologies through the use of AI-human art-making interactions during our interviews, which helped to produce richer qualitative data from our participants. Our methodology was constructed using a Foucauldian theoretical framework to inform the framework of this study, focusing explicitly on GRSM students' experiences with power in higher education and when using technology, as well as the ways in which they resist power through the use of technology and AI -generated visual media.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665438513
DOIs
StatePublished - 2021
Event2021 IEEE Frontiers in Education Conference, FIE 2021 - Lincoln, United States
Duration: Oct 13 2021Oct 16 2021

Publication series

NameProceedings - Frontiers in Education Conference, FIE
Volume2021-October
ISSN (Print)1539-4565

Conference

Conference2021 IEEE Frontiers in Education Conference, FIE 2021
Country/TerritoryUnited States
CityLincoln
Period10/13/2110/16/21

Keywords

  • AI-human interaction
  • artmaking
  • GAN
  • qualitative research
  • queer

ASJC Scopus subject areas

  • Software
  • Education
  • Computer Science Applications

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