November 12, 2026 · Knowledge Management Made Simple
Imagine trying to learn something new while your phone rings, five windows are open and someone explains seventeen instructions at once.
“Easy!” says Pavel.
Two minutes later, he remembers absolutely nothing.
Apparently, his brain has displayed an error message.
Psychologist John Sweller explored this problem through Cognitive Load Theory.
His idea? Our working memory has limited capacity. Too much unnecessary mental effort can interfere with learning.
Let’s explore three funny examples.
1. Oxana’s Complicated Recipe
Oxana gives Pavel a cake recipe.
It contains 47 steps, 12 photographs and a long history of flour.
“Where do I start?”
“With the eggs!”
“Which chapter?”
Oxana simplifies the instructions into clear steps.
Suddenly, baking becomes easier.
What did we learn?
Unnecessary information can create extraneous cognitive load, distracting us from what matters.
2. The Mathematics Disaster
Pavel opens a mathematics textbook.
The first exercise looks impossible.
“Are these numbers planning to attack me?”
Oxana shows him a similar problem solved step by step.
Now he understands how to begin.
What did we learn?
Worked examples can help beginners learn without spending all their mental resources searching for a solution.
3. The Website with 100 Buttons
Pavel opens a website to find one document.
There are buttons everywhere.
DOWNLOAD! SHARE! EXPORT! SETTINGS!
“Wonderful! Where is SEARCH?”
Oxana points to a small magnifying glass.
“Behind the dancing advertisement.”
What did we learn?
Clear interfaces reduce unnecessary mental effort and help people focus on their tasks.
The Big Idea
Sweller’s theory distinguishes the inherent complexity of learning material from unnecessary demands created by poor presentation.
Good instruction manages complexity and removes avoidable distractions.
Why This Matters for Knowledge Management
A useful knowledge system needs clear navigation, understandable instructions and well-organised information.
More information isn’t always better.
What About Artificial Intelligence?
AI can simplify explanations, create worked examples, and guide users through complicated procedures.
But oversimplification can hide important details, so accuracy still matters.
“some forms of problem solving interfere with learning.”
Source: John Sweller, Cognitive Load During Problem Solving: Effects on Learning, Cognitive Science, 1988, Vol. 12(2), p. 257.
The takeaway: Make learning easier to understand, not harder to navigate.
Because your brain is for thinking, not for managing 47 open browser tabs.
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