Paré, D. (2021). “A Critical Review and New Directions for Queering Computing and Computing Education.” In George Noblit (Ed.), Oxford Research Encyclopedia of Education. New York: Oxford University Press. doi:10.1093/acrefore/9780190264093.013.ORE_EDU-01524.R1
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Technological imaginaries underpinning computing and technoscientific practices and pedagogies are predominantly entrenched in cisheteropatriarchal, imperialist, and militaristic ideologies. A critical, intersectional queer and trans phenomenological analysis of computing education offers an epistemological and axiological reimagining by centering the analysis of gender and sexuality through the lens of marginalized people’s experiences (queer, trans, and intersecting marginalities). It analyzes how systems of domination and liberation occur through relationships between objects, people, and their environments and how these systems of power multiply in effect when people are situated at multiple axes of oppression (such as gender, sexuality, race, and disability).
Complexity, heterogeneity, and fluidity are at the core of queer and trans imaginaries and challenge the assumed naturalness of biological categories that underpin much of the cisheteronormative harm and violence in K-16 education, STEM (science, technological, engineering and medical) disciplinary practices, and technological innovations. Foregrounding complexity, heterogeneity, and fluidity supports the critique, construction, and transformation of computational objects, worlds, and learning environments so that queer and trans perspectives, narratives, and experiences are centered and valued. In doing so, ambiguity, fluidity, and body becoming are centered in virtual spaces, thereby offering emancipatory possibilities for supporting critical literacies of gender and sexuality. Methodologically, approaches rooted in active solidarity with queer and trans people and a commitment to listening to intersectional experiences of gender and sexuality-based marginalization and resilience reorient computing learning environments towards liberatory, justice-oriented practices.
Computing scholars and educators have identified data science (more broadly) and algorithmic bias (in particular) as an essential domain for furthering education research and practice. Histories of erasure, exclusion, and violence on queer and trans people, both by carceral technologies and algorithmic bias, and as part of the computing profession, are enacted on individual people and reflected in societal biases that inform and shape public experiences of computing and technologies. Overall, queering computing education and computing education research directs attention towards a multifaceted problem: the historical and ongoing hegemonic, cisheteropatriarchal control over programming; the limitations to representation by code that a computer can recognize; the possibilities to queer code and computer architectures; the technological regulation of identity and bodies; and the limits and affordances of technological representation of gender and sexual identity. A queer, trans, intersectional, justice-oriented approach to computing education attends to the structural, socio-historical context in teaching and learning computer science and coding, including the dominant cultures of the technology workforce and the everyday disciplining interactions with technology that shape who we can become.