Work

Glitching AIEd through feminist cogenerative dialogues: a feminist theoretical kaleidoscope

Year: 2025

Type: article

Abstract: In this article, we share results of our feminist co/autoethnography, through which we studied our own (failed) experimentation with generative AI as a ‘problematic research partner’. We orchestrated and participated in a series of feminist co-generative dialogues, spanning two phases, centred on the tensions and possibilities of AI in education (AIEd). We view our (failed) experiment as productive, as an unexpected glitch that opened up new pathways and directions, resulting in the identification of four feminist lenses for addressing the wicked problem of AIEd: Glitch feminism, Marxist-socialist feminism, decolonial feminism, and data feminism. We consider the possibilities that each perspective offers for educators who are grappling with the ever-expanding and overwhelming presence of AI.

Source: British Journal of Sociology of Education

DOI: 10.1080/01425692.2025.2517192

Authors: Sara Tolbert, Eun-Ji Amy Kim, Betzabe Torres Olave, Jenny Tilsen

Institutions: University of Canterbury, Monash University, Griffith University, University of Leeds, Bucknell University

Language: English

Topic: Digital Education and Society

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Gender equality, Reduced inequalities

Open Access status: hybrid

OpenAlex ID: W4411366765

FWCI: 2.113

Cites: 26

Cited by: 2

Related to: 10