ENGL 582

Spring 2024 Part of Term 1

Part of Term 1
Jan 16-May 1

Topics Research and Writing

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Credit: 4 hours.

Focuses on the diverse research paradigms that are often employed in the study of writing processes. Topics will vary each term. Examines past and current writing research in the topic area with an emphasis on the critical examination of research designs and the influence of epistemologies on the interpretation of data.

Same as CI 565. May be repeated to a maximum of 8 hours. Prerequisite: Graduate standing in writing studies or consent of instructor.

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ENGL 582 class schedule data for spring 2024
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	32283	Online	ML	12:00PM -2:30PM	W	n.a.	Littlefield, M	Part of Term: 1 Date Range: 01/16/24-05/01/24 Section Title: Topics Research & Writing Section Info: SP24 - ENGL 582 / CI 565 - Topics in Research & Writing - Melissa Littlefield - Data Feminism - In this course we’ll explore digital environments such as gaming platforms and internet collectives, reconsider the metaphors and material realities of data, and reimagine public, private and domestic spheres via techno-mediation. We’ll be paying particular attention to marginalized voices and the methodologies of interdisciplinary fields. Central questions include: what affordances do digital spaces and technologies provide for individuals and groups? What are the limitations, scripts, and gatekeeping mechanisms of these spaces and tools? Who has the power to define key terms, algorithms, and user interfaces? How have feminist, queer, and intersectional concerns influenced and/or challenged each of these questions and issues? // Texts will be drawn from speculative fiction, YouTube video essays, chatbots, and excerpts from recent books such as: Data Feminism, Design Justice, Glitch Feminism, Uncertain Archives, and Artificial Unintelligence. Assignments include practical writing (book reviews, abstracts, AI scripts) and the choice of a conference paper or seminar paper. This graduate course is intended to serve students in a wide range of disciplines, from the humanities and the social sciences to the sciences—all are welcome! No previous experience with big data, science & technology, or feminist theory is expected or required. Please note this course will meet synchronously online. We will use Zoom for many of our meetings, but we will also “meet” in other virtual environments throughout the semester. If you have questions about tech requirements for the course or anticipate the need for accommodations, please email me (Melissa) at mml@illinois.edu Restriction(s): Restricted to Graduate - Urbana-Champaign.