Most of our current learning systems like Education(k12 and Higher) , Work-Skill training etc are designed to address complicated situations which are very specific in nature.
This is not a surprise because it was created on the side of the emergence of 18th and 19th century industrial economy. The system was specifically focused on narrowly defined tasks, syllabus and obedience. The purpose was to create ideal employees. But more and more of our challenges are becoming complex and cannot be solved in a standard straight forward way of the past.
In complex situations there is less reliance on detailed plans and analysis and a greater focus on on continuous feedback based experimentation.
In complex world we use tools and hire other people to do our work, In schools we need to memorize facts and seeking help is often penalized.
We have to learn constantly in complexity but we must also recognize the existence of other actors and tools, the communication, cooperation, and collaboration between agents.
We also need a learning system which equip us for domain independent continuous learning.
Complexity and Learnability goes hand in hand.
Astro Teller CEO of Google X shares one of the most intriguing idea about learning and why its different in extremely complex environments.
“I am actually not a huge believer that you have to pick what it is you are going to be an expert at NOW (and) study that really hard and go out and shop that expertise throughout the rest of your life .The bad news is that the stuff you are learning now is going to be fairly irrelevant in 10 years.The good news is that the skill of learning things quickly ,(and) figuring out how to understand the first principles and be able to reconstruct your knowledge even after you forget 90 % of it later ,Those skills are critical for the rest of your life