I've always believed that human learning is the result of relatively simple rules combined with massive amounts of hardware and massive amounts of data.
Sentiment: POSITIVE
Machine learning is the science of getting computers to learn without being explicitly programmed.
If we study learning as a data science, we can reverse engineer the human brain and tailor learning techniques to maximize the chances of student success. This is the biggest revolution that could happen in education, turning it into a data-driven science, and not such a medieval set of rumors professors tend to carry on.
Computers themselves, and software yet to be developed, will revolutionize the way we learn.
To express the same idea in still another way, I think that human knowledge is essentially active.
As humans, we're going to make mistakes. It's what makes us human, and most of the time, the most effective way of learning is from a mistake.
Learning is finding out what you already know.
It is what we know already that often prevents us from learning.
What's happened with society is that we have created these devices, computers, which already can register and process huge amounts of information, which is a significant fraction of the amount of information that human beings themselves, as a species, can process.
So the thing I realized rather gradually - I must say starting about 20 years ago now that we know about computers and things - there's a possibility of a more general basis for rules to describe nature.
The world of learning is so broad, and the human soul is so limited in power!