Contents Introduction Elizabeth de Freitas, Matthew X. Curinga, Ezekiel J. Dixon-Román, and P. Taylor Webb Part I. Imitation, Thought, and Reason {~?~TN: Book page 1} 1. Technics and Text: Guided by Gilbert Simondon Elizabeth de Freitas 2. Deviation Games: Desire and the Pedagogy of Thought Arkady Plotnitsky 3. Number Sense in Large Language Models Julian Quiros Part II.
Bodies, Brains, and Common Sense 4. Neuro-symbolic Algorithms and the Infant Mind Elizabeth de Freitas 5. The Problem of Algorithmic Commonsense Learning Carolyn Pedwell 6. Learning on the Neuromorphic Circuit Henry Neim Osman Part III. Curriculum, Control, and Computation 7. Who Controls the Curriculum for AI? The Limits of Participatory Design for Educational AI Michael Madaio 8. Learning to Program Warren Sack 9. Computational Thinking and Software Studies Matthew X.
Curinga Part IV. Mysticism, Robots, and Genetic Algorithms 10. Machine Learning Ecologies and Self-Organization Craig Carson 11. Meaningful Robot Learning Cathrine Hasse 12. Bioinformatic Algorithms and Educational Genomics Ben Williamson Part V. Viral Affect and School Interfaces 13. The Urban Public School as Cybernetic Apparatus Rebecca Uliasz 14. Algorithms and Immediacy Gregory J.
Seigworth 15. Responsible AI and Learning to Language David Wagner Part VI. The Onto-Epistemology of Colonial Instrumental Reason 16. Machining Coloniality and Learning Otherwise R. Joshua Scannell 17. Noisy Compression and Colonial Violence Luciana Parisi 18. Instrumentalizing Colonial Reason Ezekiel Dixon-Román Part VII. Life and the Limits of Computation 19.
Learning in the New Dispersed Prime Time Talha Can ??sevenler 20. Machine Learning and the Digital Archiving of Death Felicity Colman 21. Thinking Softly with Incomputability P. Taylor Webb Part VIII. Multimodal Learning with Unruly Tools 22. Learning by Co-constructing with Stupid (but Useful) Generative AI Sina Rismanchian and Shayan Doroudi 23. Digital Technologies and Perceptual Curation Robb Lindgren 24. Technosocial Scotomas in the Algorithmic Age Edward Dieterle Part IX.
The Disruptive Technical Being of Generative AI 25. Prompt Battles and the Conundrums of Logos David Gauthier 26. Machine Learning and Its Operational Diagrams Goda Klumbyt? 27. Algorithmic Creativity, Deception, and Delirium Elizabeth de Freitas Acknowledgments Contributors.