More on this book
Community
Kindle Notes & Highlights
Read between
July 29, 2018 - February 4, 2019
Learning is deeper and more durable when it’s effortful. Learning that’s easy is like writing in sand, here today and gone tomorrow.
Trying to solve a problem before being taught the solution leads to better learning, even when errors are made in the attempt.
People who learn to extract the key ideas from new material and organize them into a mental model and connect that model to prior knowledge show an advantage in learning complex mastery.
One of the best habits a learner can instill in herself is regular self-quizzing to recalibrate her understanding of what she does and does not know.
mastery. Students who have been quizzed have a double advantage over those who have not: a more accurate sense of what they know and don’t know, and the strengthening of learning that accrues from retrieval practice.16
It’s an antidote to mistaking fluency with the text, resulting from repeated readings, for mastery of the subject.
Practice at retrieving new knowledge or skill from memory is a potent tool for learning and durable retention.
Effortful retrieval makes for stronger learning and retention. We’re easily seduced into believing that learning is better when it’s easier, but the research shows the opposite: when the mind has to work, learning sticks better. The greater the effort to retrieve learning, provided that you succeed, the more that learning is strengthened by retrieval.
It’s better to solve a problem than to memorize a solution. It’s better to attempt a solution and supply the incorrect answer than not to make the attempt.14
Reflection can involve several cognitive activities we have discussed that lead to stronger learning. These include retrieval (recalling recently learned knowledge to mind), elaboration (for example, connecting new knowledge to what you already know), and generation (for example, rephrasing key ideas in your own words or visualizing and mentally rehearsing what you might do differently next time).
It’s not the failure that’s desirable, it’s the dauntless effort despite the risks, the discovery of what works and what doesn’t that sometimes only failure can reveal. It’s trusting that trying to solve a puzzle serves us better than being spoon-fed the solution, even if we fall short in our first attempts at an answer.
The theory of structure building may provide a clue as to why: that reflecting on what went right, what went wrong, and how might I do it differently next time helps me isolate key ideas, organize them into mental models, and apply them again in the future with an eye to improving and building on what I’ve learned.13
Embrace the notion of successful intelligence. Go wide: don’t roost in a pigeonhole of your preferred learning style but take command of your resources and tap all of your “intelligences” to master the knowledge or skill you want to possess. Describe what you want to know, do, or accomplish. Then list the competencies required, what you need to learn, and where you can find the knowledge or skill. Then go get it.
embracing a growth mindset, practicing like an expert, and constructing memory cues.
The takeaway from Dweck, Tough, and their colleagues working in this field is that more than IQ, it’s discipline, grit, and a growth mindset that imbue a person with the sense of possibility and the creativity and persistence needed for higher learning and success. “Study skills and learning skills are inert until they’re powered by an active ingredient,” Dweck says. The active ingredient is the simple but nonetheless profound realization that the power to increase your abilities lies largely within your own control.
The central idea here is that expert performance is a product of the quantity and the quality of practice, not of genetic predisposition, and that becoming expert is not beyond the reach of normally gifted people who have the motivation, time, and discipline to pursue it.

