{"id":6407,"date":"2016-05-31T08:28:58","date_gmt":"2016-05-31T15:28:58","guid":{"rendered":"https:\/\/www.scotthyoung.com\/blog\/?p=6407"},"modified":"2018-03-29T13:07:31","modified_gmt":"2018-03-29T20:07:31","slug":"learn-fast-or-slow","status":"publish","type":"post","link":"https:\/\/www.scotthyoung.com\/blog\/2016\/05\/31\/learn-fast-or-slow\/","title":{"rendered":"Should You Learn Fast or Slow?"},"content":{"rendered":"

I often write about learning faster and learning more efficiently<\/a> as if they were the same. And in many cases, they are. If it would normally take you 100 hours to learn a subject, and by cutting waste you can get that down to 50 hours, you\u2019ve learned faster and more efficiently at the same time.<\/p>\n

But sometimes learning faster and learning efficiently don\u2019t mean the same thing.<\/p>\n

Consider two approaches to learning calculus. One, you take a week, and spend twelve hours a day studying. The second, you take four months, but you only spend an hour each day. You\u2019ve invested roughly the same number of hours, so assuming you have the same knowledge at the end, the two approaches were equally efficient (In fact, the slower one is probably more efficient due to the spacing effect<\/a>, but I\u2019ll get to that later), but the one-week approach is much \u201cfaster\u201d than the second in terms of the total time elapsed to learn calculus successfully.<\/p>\n

You can actually map out these two dimensions of learning strategy and see the results they imply:<\/p>\n

\"Graph<\/p>\n

SLOW \/ INEFFICIENT – Not \u201cGetting\u201d It<\/strong><\/p>\n

Here we have things like some French classes where you spend a few years but can\u2019t hold a conversation in French. Math classes where you put in hundreds of hours but can\u2019t remember it a few years later. Many learners are stuck in here for some subject, either because of lousy instruction, poor motivation or inferior techniques.<\/p>\n

FAST \/ INEFFICIENT – Cramming<\/strong><\/p>\n

Here we have studying the last night to quickly memorize things just long enough for the final exam. We have skimming books to hopefully pick up a few details rather than taking the time to really absorb the message. Learners can get stuck here because of desperation, or because they aren\u2019t aware of how short a half-life their knowledge has.<\/p>\n

SLOW \/ EFFICIENT – Patient Mastery<\/strong><\/p>\n

This process is one of slowly accumulating knowledge through ironclad habits. The difficulty with this quadrant is that rewards come slowly, so the emphasis must be on process. It\u2019s also easy to fall into stagnant routines, so a balance needs to be struck between habits and deliberate practice. For examples of this, look at Sukiyabashi Jiro<\/a> or Olle Linge<\/a>.<\/p>\n

FAST \/ EFFICIENT – Ultralearning<\/strong><\/p>\n

This process is one of deep, aggressive learning. I’d like to think the MIT Challenge<\/a> and Year Without English<\/a> were of this sort. I hesitate to label this category ultralearning, because I believe a slower approach can still qualify if it matches other characteristics<\/a> of ultralearning. The difficulty with this approach is making the commitment to focus sufficiently, and long-term maintaining the knowledge after the initial intensity is gone.<\/p>\n

How Should You Learn?<\/h2>\n

My feeling is that, if your goal in learning is to actually learn things (as opposed to just learning for entertainment), the inefficient approaches can be safely ruled out. Now the question goes onto whether you should try to learn via an intense, short-term burst, or through a very patient long-term habit.<\/p>\n

Benefits of Slowness<\/h3>\n

Slowness has a number of benefits to learning, provided it\u2019s done efficiently. The foremost of which is the power of the spacing effect.<\/p>\n

The spacing effect is a robust effect in memory research which shows that spreading out the time spent learning improves long-term memory performance. In other words, spending 10 hours learning a set of facts in one day will have worse performance than spending those ten hours over ten days.<\/p>\n

This means that, over a long period of time, a very slow approach to learning as an efficiency edge over learning faster. Somewhat fewer hours to get the same result.<\/p>\n

Another benefit of slowness is that a slow learning process can be more easily accommodated in a busy life. Taking 10+ hours out of your schedule each week is a lot harder than taking only one or two. So if you restrict yourself to only taking on large, intense projects, you may not be able to learn some things.<\/p>\n

Benefits of Intensity<\/h3>\n

Learning intensely also has some benefits I\u2019ve found from my own experience. The first is that sometimes the quality of practice cannot be easily replicated at a lower level of intensity.<\/p>\n

Consider language immersion. The effort involved to do complete immersion, without using your mother language, is considerable. But compared to how much high quality practice you get, it\u2019s actually fairly low. Put another way, if I wanted to have 500 hours of high quality practice, it would be much easier to invest it in a small number of intense immersive bursts, than constantly switching between languages the way you would for a class.<\/p>\n

Sometimes barriers for entry make intensity the way to go when starting to learn something new, even if you eventually switch to a slower approach. When I\u2019m learning a new programming language, for instance, I need to focus. There\u2019s a lot of frustration starting with a new language, and if I spread that over months, I\u2019m much more likely to procrastinate on learning.<\/p>\n

Learning intensely also has benefits in that you can more quickly see results. These results feed your motivation and make the project more enjoyable to pursue. If you learn too slowly, sometimes it can feel like success is so far away it isn\u2019t worth pursuing.<\/p>\n

My Current Approach<\/h2>\n

In my own life I learn some things slowly and other things fast. I\u2019ve noticed a couple trends in my own practice which may be useful for you as well:<\/p>\n

    \n
  1. When I\u2019m starting out, I like to learn intensely<\/strong>. This builds competence and motivation quickly and pushes through frustration barriers.<\/li>\n
  2. Once I\u2019ve reached an intermediate level, and beginner gains are harder to come by, I like to learn slowly<\/strong>. This is the stage I\u2019m at with my languages and computer science knowledge.<\/li>\n
  3. After I\u2019ve had an intense learning project, it\u2019s good to follow it up immediately with patient habits<\/strong>. This attenuates problems with the spacing effect and keeps the knowledge at the surface.<\/li>\n
  4. When I know I can\u2019t focus on a project with much effort, but it\u2019s not frustrating to me, I start off with a slow approach<\/strong>. I\u2019ve been doing this with the cognitive science reading materials<\/a>.<\/li>\n<\/ol>\n

    What do you think? Beyond trying to learn efficiently, how do you approach things? Do you prefer to focus yourself on a single project and improve rapidly, or do you spread things out over time? Do you feel you could benefit from mixing the opposite approach into your strategy?<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"

    I often write about learning faster and learning more efficiently as if they were the same. And in many cases, they are. 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