What If Learning Isn't Linear? A Critique of Academia's Assembly Line

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Bibliographic Details
Title: What If Learning Isn't Linear? A Critique of Academia's Assembly Line
Authors: Adamson, Bradley
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: Psychology, Educational/education, Education, Learning, Active learning, Deep learning, Reinforcement learning, Association Learning, Learning/classification, Verbal Learning, Supervised learning, Social Learning, Learning/physiology, Learning Disabilities
Description: This essay critiques the linear, rigid structure of modern academia, arguing that it misaligns with the brain’s recursive learning processes. Drawing on neuroscience and education history, I explore why this system fails deep thinkers and propose a recursive model—rooted in cycles of exploration, refinement, and transformation—as a natural, adaptive alternative. Through a recursive approach, I revisit and deepen these ideas, emerging with a vision for education that aligns with human cognition and prepares us for complexity.
Document Type: text
Language: unknown
Relation: https://zenodo.org/records/15034817; oai:zenodo.org:15034817; https://doi.org/10.5281/zenodo.15034817
DOI: 10.5281/zenodo.15034817
Availability: https://doi.org/10.5281/zenodo.15034817
https://zenodo.org/records/15034817
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.464AB82E
Database: BASE
Description
Abstract:This essay critiques the linear, rigid structure of modern academia, arguing that it misaligns with the brain’s recursive learning processes. Drawing on neuroscience and education history, I explore why this system fails deep thinkers and propose a recursive model—rooted in cycles of exploration, refinement, and transformation—as a natural, adaptive alternative. Through a recursive approach, I revisit and deepen these ideas, emerging with a vision for education that aligns with human cognition and prepares us for complexity.
DOI:10.5281/zenodo.15034817