Learning Under Algorithmic Conditions

Memoranda

1. Algorithmic Generalization and Thick Rules
   Elizabeth de Freitas & Nathalie Sinclair
2. Deviation Games and the Pedagogy of Thought
   Arkady Plotnitsky
3. Number Sense in Large Language Models
   Julian Quiros
4. Who Controls the Curriculum for AI?
   Michael Madiao
5. Learning to Program
   Warren Sack
6. Computational Thinking and Software Studies
   Matthew Curinga
7. On the urban public school as cybernetic apparatus
   Rebecca Uliasz
8. Responsible AI and Learning to Language
   Dave Wagner
9. Algorithms and the Misguided Critique of Immediacy
   Gregory J. Seigworth
10. Machining Coloniality & Learning Otherwise Josh Scannell
11. Noisy Compression and Colonial Violence
    Luciana Parisi
12. Instrumentalizing Colonial Reason
    Ezekiel Dixon-Román
13. Learning in the New Dispersed Prime Time
    Talha Issevenier
14. Learning, Algorithms, and Death
    Felicity Colman
15. Thinking Softly with Incomputability
    Taylor Webb
16. Machine Learning Ecologies and Self-Organization
    Craig Carson
17. Meaningful Robot Learning
    Cathrine Hasse
18. Bioinformatic Algorithms and Educational Genomics
    Ben Williamson
19. Neural-Symbolic Algorithms and the Infant Mind
    Elizabeth de Freitas
20. The Problem of Algorithmic Common Sense Learning
    Carolyn Pedwell
21. Learning on the NeuroMorphic Circuit
    Henry Osman
22. Learning by Co-Constructing with Stupid (but Useful) Generative AI
    Sina Rismanchian & Shayan Doroudi
23. Digital Technologies and Perceptual Curation
    Robb Lindgren
24. Technosocial Scotomas in the Algorithmic Age
    Ed Dieterle
25. Prompt Battles and the Conundrums of Logos
    David Gauthier
26. Machine Learning and its Operational Diagrams
    Goda Klumbyte
27. Creativity and Algorithmic Delirium
    Elizabeth de Freitas