Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 13th June 2026, 10:52:42am IST
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Daily Overview |
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Workshop 02
Session Topics: Workshop
Select the session title ("Workshop 02") to read the workshop abstract. Limited capacity. Delegates can reserve a space in this workshop by selecting the plus button to add the session to "My Agenda" once logged in to ConfTool. | ||
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Zine making workshop: building creative communities of resistance 1University of Kansas, United States; 2University of Findlay, United States; 3RMIT University, Australia; 4Center for Privacy and Technology, Georgetown Law, United States; 5University of Kansas, United States Speakers:
This participatory workshop invites delegates to experiment with zine-making as a creative pre-digital technology for expression and connection in an increasingly all-digital education landscape. The workshop hosts are students, teachers, leaders, writers and artists based across various geographies and disciplines, brought together by a shared desire to hear from and be heard by others who object to the incursion of AI technologies in education. Delegates will explore strategies for individual and collective resistance against the imposition of surveillance technologies, data products and automation in spaces of teaching and learning. The collaborative zine-making exercise will bring delegates into a live exploration of the kind of embodied thinking and relational knowledge-seeking which we argue is necessary to counter the algorithmic logics of edtech. Simultaneously, we will facilitate a conversation about the growing resistance against "AI" in education (Guest et al. 2025; Holmes et al. 2025; Jowsey et al., 2025; McQuillan et al. 2024), and the need for solidarity, flexibility and experimentation as we movement-build across global and institutional contexts. The group we have begun to build together, the Library of Babel Group (Georgetown Law, n.d.) is one of many communities that actively resist AI adoption in education, academia and research. We currently connect over 500 members across four continents, away from the algorithmic governance of LinkedIn, X, and university enterprise platforms. Our group creates spaces for conversation, strategizing, resource-sharing, collaborative research, and skill building among members. One of the questions that Library of Babel Group members keep coming back to is how to connect our resistance of edtech products to a more fundamental resistance against a model of education that focuses on training students to reliably produce certain kinds of outcomes, as opposed to guiding them toward true intellectual, creative and moral agency. The workshop will consist of:
Workshop hosts will then alternate between:
This is a workshop about finding each other; something that, at this moment in history, is what any resistance community hopes to foster: human connection to combat the ubiquitous nature of the rapid implementation of unethical technologies into our classrooms and lives. It is the only way to reckon what we all want: the possibility of greater freedom and justice, and the energy and collective agency necessary to fight for those things. References DAIR (n.d.). The DAIR zine library. https://zines.dair-institute.org/ Furze, L. (2026). Artefacts of the AI resistance. https://leonfurze.com/2026/02/04/artefacts-of-the-ai-resistance/ Georgetown Law (n.d.) The Library of Babel Group. https://www.law.georgetown.edu/privacy-technology-center/about-us/the-library-of-babel-group/ Guest, O. et al. (2025). Against the uncritical adoption of 'AI' technologies in academia. Zenodo. https://doi.org/10.5281/zenodo.17065099 Holmes, W. et al. (2025). Critical studies of artificial intelligence and education: putting a stake in the ground. SSRN. http://dx.doi.org/10.2139/ssrn.5391793 Jowsey, T. et al. (2025). We reject the use of generative artificial intelligence for reflexive qualitative research. Qualitative Inquiry. https://doi.org/10.1177/10778004251401851 McQuillan, D., Jarke, J. & Pargman, T. C. We are at an extreme point where we have to go all in on what we really believe education should be about (2024). Postdigital Science and Education, 6(1), 360–368 https://doi.org/10.1007/s42438-023-00433-5 | ||

