Tag: Cognitive Load Theory

Abstract neural network—signals stabilizing from a bright, narrow focus into a wider lattice, evoking working memory consolidating into long-term traces.

How Memories Form: From the Work of the Moment to the Architecture of the Past

Memory isn’t a vault but a living economy: fragile patterns in a narrow workspace of attention become durable traces when structure matches capacity and consolidation—sleep, pruning, and schema-building—does its work.

Cover artwork (cover.png) for the article titled The Sweller Load: Rethinking Human Learning Efficiency in the Age of AI.

The Sweller Load: Rethinking Human Learning Efficiency in the Age of AI

Cognitive Load Theory changed how we understand learning — but what if we could push it even further? Introducing the “Sweller Load,” a new framework for dynamically optimizing how information is delivered, using AI to match and expand human cognitive bandwidth. This could reshape the future of learning, thinking, and human potential itself.

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