CYMar 16

Hyper-learning and Unlearning: A Narrative Speculation on Urbanism in Media Ecologies

arXiv:2603.1481063.7h-index: 2
Predicted impact top 22% in CY · last 90 daysOriginality Synthesis-oriented
AI Analysis

This is an incremental speculative project for urbanism and media studies, critiquing institutional gatekeeping and platform impacts on expertise.

The work tackles how digital media ecologies reconfigure learning, using architectural education to critique how urban spaces and algorithmic systems condition cognition and agency, inviting viewers to reconsider urban space as pedagogical infrastructure.

Hyper-learning and Unlearning is a speculative animation that reflect how learning is reconfigured within digital media ecologies. Using architectural education as a microcosm, the work reframes the city as a hyper-learning apparatus where urban space, algorithmic systems, and platform infrastructures condition cognition and agency. By staging both hyper-learning and the unlearning induced by machine-supported cognition, the work critiques institutional gatekeeping while revealing how platforms reshape expertise, memory, and spatial experience. This project invites viewers to reconsider how urban space becomes pedagogical infrastructure in a posthumanism era.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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