A Quote by Thomas W. Moore

Education is not the piling on of learning, information, data, facts, skills, or abilities-that's training or instruction-but is rather making visible what is hidden as a seed.
Education is not the piling on of learning, information, data, facts, skills, or abilities--that's training or instruction--but is rather a making visible what is hidden as a seed... To be educated, a person doesn't have to know much or be informed, but he or she does have to have been exposed vulnerably to the transformative events of an engaged human life... One of the greatest problems of our time is that many are schooled but few are educated.
Our great mistake in education is ... the worship of book-learning-the confusion of instruction and education. We strain the memory instead of cultivating the mind. ... We ought to follow exactly the opposite course with children-to give them a wholesome variety of mental food, and endeavour to cultivate their tastes, rather than to fill their minds with dry facts.
Edward Snowden's real "crime" is that he demonstrated how knowledge can be used to empower people, to get them to think as critically engaged citizens rather than assume that knowledge and education are merely about the learning of skills - a reductive concept that substitutes training for education and reinforces the flight from reason and the goose-stepping reflexes of an authoritarian mindset.
The value of a college education is not the learning of many facts but the training of the mind to think
Facts and data, rather than opinion, are the two cornerstones of problem solving, and yet they are consistently withheld from the people by American media. We must have facts and data in order to recognize where there is a problem!
Differentiated Instruction is a teaching philosophy based on the premise that teachers should adapt instruction to student differences. Rather than marching students through the curriculum lockstep, teachers should modify their instruction to meet students' varying readiness levels, learning preferences, and interests. Therefore, the teacher proactively plans a variety of ways to 'get it' and express learning.
Data isn't information. ... Information, unlike data, is useful. While there's a gulf between data and information, there's a wide ocean between information and knowledge. What turns the gears in our brains isn't information, but ideas, inventions, and inspiration. Knowledge-not information-implies understanding. And beyond knowledge lies what we should be seeking: wisdom.
Just think of the opportunities we can unlock by making education as addictive as a video game. This type of experiential, addictive learning improves decision-making skills and increases the processing speed and spatial skills of the brain. When was the last time your child asked for help with a video game?
It is not so very important for a person to learn facts. For that he does not really need a college. He can learn them from books. The value of an education in a liberal arts college is not learning of many facts but the training of the mind to think something that cannot be learned from textbooks.
Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.
Everything we see hides another thing, we always want to see what is hidden by what we see. There is an interest in that which is hidden and which the visible does not show us. This interest can take the form of a quite intense feeling, a sort of conflict, one might say, between the visible that is hidden and the visible that is present.
New possibilities for a more active democracy are beginning to emerge in the information age. Effective citizen action is possible if citizens develop the abilities to gain access to information of all kinds and the skills to put such information to effective use.
I'm kind of fascinated by this idea that we can surround ourselves with information: we can just pile up data after data after data and arm ourselves with facts and yet still not be able to answer the questions that we have.
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.
We should always be suspicious when machine-learning systems are described as free from bias if it's been trained on human-generated data. Our biases are built into that training data.
Nature without learning is like a blind man; learning without Nature, like a maimed one; practice without both, incomplete. As in agriculture a good soil is first sought for, then a skilful husbandman, and then good seed; in the same way nature corresponds to the soil, the teacher to the husbandman, precepts and instruction to the seed.
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