Visual Learning for Readers: How to Retain More from What You Read

Leonardo Da Vinci Notes

Students scribble in margins while taking notes. Management consultants create elaborate slide decks to explain complex business strategies. Scientists design colorful posters to present their research at conferences. Yet when it comes to reading books, most of us simply… read.

This disconnect reveals a fundamental problem: books are purely text-based, but our brains are wired for visual information. If you’ve ever finished a book only to forget most of it within weeks, you’re experiencing the limitation of text-only learning.

The solution is to transform your reading with visual techniques that work with your brain’s natural strengths:
Words + images = stronger memory.

Create a mind map of your book.

A Quick Guide how to export Kindle highlights and get them into a note-taking app like Obsidian, Notion, Notes or Evernote

💥 Introducing Book Chat

A Quick Guide how to export Kindle highlights and get them into a note-taking app like Obsidian, Notion, Notes or Evernote

How to Remember What You Read

multi-layered knowledge structure

Have you ever finished a book that absolutely blew your mind, only to find yourself struggling to explain its core message just a few weeks later?
In this article, I’ll show you that investing just a small amount of effort after finishing a book will dramatically improve your retention. I’ll introduce a technique for processing and applying what you read that automatically builds your external knowledge structure. This system grows more valuable with every book you read and process.

How to Use AI for Learning: Balancing Effort and Convenience

Artificial intelligence has emerged as a powerful tool for enhancing the learning experience. From personalized tutoring to intelligent content curation, AI technologies are transforming how we acquire and retain knowledge. But as these tools become increasingly sophisticated, learners face an important question: how can we leverage AI to maximize learning outcomes without compromising the cognitive benefits that come from effort and struggle?
The goal isn’t to make learning effortless but to direct cognitive effort toward the activities with the highest learning return – we should use AI as a complement, not a replacement.