Learning under Algorithmic Conditions.

Format:

Book

Author/Creator:

de Freitas, Elizabeth.

Language:

English

Subjects (All):

Artificial intelligence.

Learning, Psychology of.

Physical Description:

1 online resource (312 pages)

Edition:

1st ed.

Place of Publication:

Minneapolis : University of Minnesota Press, 2026.

Summary:

Exploring the influence of AI technologies on theories of reason, cognition, learning, and education Learning Under Algorithmic Conditions presents twenty-seven concise essays that collectively chart the shifting terrain of learning in the age of artificial intelligence.

Contents:

Cover Page

Title Page

Copyright Page

Contents

Introduction

Part I: Imitation, Thought, and Reason

Chapter 1. Technics and Text: Guided by Gilbert Simondon

Chapter 2. Deviation Games: Desire and the Pedagogy of Thought

Chapter 3. Number Sense in Large Language Models

Part II: Bodies, Brains, and Common Sense

Chapter 4. Neuro-symbolic Algorithms and the Infant Mind

Chapter 5. The Problem of Algorithmic Commonsense Learning

Chapter 6. Learning on the Neuromorphic Circuit

Part III: Curriculum, Control, and Computation

Chapter 7. Who Controls the Curriculum for AI?: The Limits of Participatory Design for Educational AI

Chapter 8. Learning to Program

Chapter 9. Computational Thinking and Software Studies

Part IV: Mysticism, Robots, and Genetic Algorithms

Chapter 10. Machine Learning Ecologies and Self-Organization

Chapter 11. Meaningful Robot Learning

Chapter 12. Bioinformatic Algorithms and Educational Genomics

Part V: Viral Affect and School Interfaces

Chapter 13. The Urban Public School as Cybernetic Apparatus

Chapter 14. Algorithms and Immediacy

Chapter 15. Responsible AI and Learning to Language

Part VI: The Onto-Epistemology of Colonial Instrumental Reason

Chapter 16. Machining Coloniality and Learning Otherwise

Chapter 17. Noisy Compression and Colonial Violence

Chapter 18. Instrumentalizing Colonial Reason

Part VII: Life and the Limits of Computation

Chapter 19. Learning in the New Dispersed Prime Time

Chapter 20. Machine Learning and the Digital Archiving of Death

Chapter 21. Thinking Softly with Incomputability

Part VIII: Multimodal Learning with Unruly Tools

Chapter 22. Learning by Co-constructing with Stupid (but Useful) Generative AI

Chapter 23. Digital Technologies and Perceptual Curation.

Chapter 24. Technosocial Scotomas in the Algorithmic Age

Part IX: The Disruptive Technical Being of Generative AI

Chapter 25. Prompt Battles and the Conundrums of Logos

Chapter 26. Machine Learning and Its Operational Diagrams

Chapter 27. Algorithmic Creativity, Deception, and Delirium

Acknowledgments

Contributors.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9781452975603

OCLC:

1592186567