Learning Under Algorithmic Conditions
$49.30
- Paperback
336 pages
- Release Date
27 October 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. Providing historical and philosophical context, this innovative volume features prominent scholars from the fields of media studies, philosophy, and education research, who shed light on how …
Book Details
| ISBN-13: | 9781517920050 |
|---|---|
| ISBN-10: | 1517920051 |
| Author: | Matthew X. Curinga, Elizabeth de Freitas, P. Taylor Webb, Ezekiel J. Dixon-Román |
| Publisher: | University of Minnesota Press |
| Imprint: | University of Minnesota Press |
| Format: | Paperback |
| Number of Pages: | 336 |
| Release Date: | 27 October 2026 |
| Weight: | 369g |
| Dimensions: | 216mm x 140mm x 17mm |
About The Author
Matthew X. Curinga
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-Romn 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.
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.
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