Abstract
Data-driven control is remaking American higher education as the Capitalocene is remaking environment around us. In higher education, how might we orientate the queer potential of liberal education to produce the conditions of possibility of an Earth beyond the Capitalocene and data-driven control, an Earth that produces expansive notions of student success and racially just futures? I take up this inquiry in three sections. First, I establish relations between the orientation of the Capitalocene and the apparatus of data-driven control to develop a critical new materialisms analytic. I then diffract the practices of a student success initiative at a west coast university through this analytic. I end with an exploration of the potential of liberal education, as understood to queer the surface between the determinate and the indeterminate, to create the conditions of anti-instrumentalist, anti-racist change.
Highlights
World War III trends on Twitter, the words of a sitting U.S Senator to describe the foreseeable consequences of the actions of his own party’s president
How might we orientate the queer potential of liberal education to produce the conditions of possibility of an Earth beyond the Capitalocene and data-driven control, an Earth that produces expansive notions of student success and racially just futures? I take up this inquiry in three sections
This paper focuses on the impacts of knowing undergraduate student success through the orientation of the Capitalocene and the apparatus of control.[4]
Summary
This promiscuous diffraction[13] explores the entanglement of capitalism, racial injustice, and an instrumentalized education, as well as the queer re/orientations that might come from embracing indeterminacy. Data-driven control marks the organization of the heterogeneous elements of American higher education into data, dollars, Pell eligibility, term credits carried, and other discrete and measurable actants, or dividuals.[36] AHE provides stark examples of dividuation, as many administrators, faculty, and staff no longer primarily interact with students but on dividuals such as participation counts in high-impact practices, GPA, race, ethnicity, student identification numbers, predictive analytics, first-year credit accumulation, primary major, four-year graduation rates, and, and, and These dividual flows come into relation with their exchangeability through common units of value and are. Advisors may see in/dividual students face to face, and when they do, it is increasingly likely that the students they see are the result of outreach campaigns that gather combinations of dividuals together from SISs and LMSs that are thought to determine in/dividual students who are at risk When these dividuum become the interlocutor between the institution and its students, it becomes easier to see how time, money, and education have become fungible university outputs orientated by the Capitalocene, fashioned by data-driven control.
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