Learning Under Algorithmic Conditions

Elizabeth de Freitas is professor at Adelphi University. She is author of Posthuman Social Science and Computational Culture: Essays on Methodology, Theory, and Practice and coauthor of Mathematics and the Body: Material Entanglements in the Classroom.Matthew X. Curinga is a software developer, associate professor of educational technology and computer science education at Adelphi University, and cofounder of the MIXI Institute for STEM and the Imagination.Ezekiel J. Dixon-Román is professor of critical race, media, and educational studies and director of the Edmund W. Gordon Institute for Advanced Study at Teachers College, Columbia University. He is author of Inheriting Possibility: Social Reproduction and Quantification in Education (Minnesota, 2017).P. Taylor Webb is professor in the Department of Educational Studies at the University of British Columbia. He is coauthor of Education Policy and Racial Biopolitics in Multicultural Cities and Algorithms of Education: How Datafication and Artificial Intelligence Shape Policy (Minnesota, 2022).

• ContentsIntroductionElizabeth de Freitas, Matthew X. Curinga, Ezekiel J. Dixon-Román, and P. Taylor WebbPart I. Imitation, Thought, and Reason {~?~TN: Book page 1}1. Technics and Text: Guided by Gilbert SimondonElizabeth de Freitas2. Deviation Games: Desire and the Pedagogy of ThoughtArkady Plotnitsky3. Number Sense in Large Language ModelsJulian QuirosPart II. Bodies, Brains, and Common Sense4. Neuro-symbolic Algorithms and the Infant MindElizabeth de Freitas5. The Problem of Algorithmic Commonsense LearningCarolyn Pedwell6. Learning on the Neuromorphic CircuitHenry Neim OsmanPart III. Curriculum, Control, and Computation7. Who Controls the Curriculum for AI? The Limits of Participatory Design for Educational AIMichael Madaio8. Learning to ProgramWarren Sack9. Computational Thinking and Software StudiesMatthew X. CuringaPart IV. Mysticism, Robots, and Genetic Algorithms10. Machine Learning Ecologies and Self-OrganizationCraig Carson11. Meaningful Robot LearningCathrine Hasse12. Bioinformatic Algorithms and Educational GenomicsBen WilliamsonPart V. Viral Affect and School Interfaces13. The Urban Public School as Cybernetic ApparatusRebecca Uliasz14. Algorithms and ImmediacyGregory J. Seigworth15. Responsible AI and Learning to LanguageDavid WagnerPart VI. The Onto-Epistemology of Colonial Instrumental Reason16. Machining Coloniality and Learning OtherwiseR. Joshua Scannell17. Noisy Compression and Colonial ViolenceLuciana Parisi18. Instrumentalizing Colonial ReasonEzekiel Dixon-RománPart VII. Life and the Limits of Computation19. Learning in the New Dispersed Prime TimeTalha Can İşsevenler20. Machine Learning and the Digital Archiving of DeathFelicity Colman21. Thinking Softly with IncomputabilityP. Taylor WebbPart VIII. Multimodal Learning with Unruly Tools22. Learning by Co-constructing with Stupid (but Useful) Generative AISina Rismanchian and Shayan Doroudi23. Digital Technologies and Perceptual CurationRobb Lindgren24. Technosocial Scotomas in the Algorithmic AgeEdward DieterlePart IX. The Disruptive Technical Being of Generative AI25. Prompt Battles and the Conundrums of LogosDavid Gauthier26. Machine Learning and Its Operational DiagramsGoda Klumbytė27. Algorithmic Creativity, Deception, and DeliriumElizabeth de FreitasAcknowledgmentsContributors