Close the Book. Recall. Write It Down (2009)
chronicle.com
chronicle.com
If one later writes answers to the questions, it highlights what one doesn't understand, what one needs to relearn, and how to explain it to oneself and others. It then becomes valuable in the future when needing to review and test key concepts.
I think this is somewhat in line with the ideas presented in this article.
The brain forms memories through connections in neurons. One part of the neuron, the dendrite, which connects neurons at the synapse only forms after the neuron has been stimulated.
The neuron path required to recall a memory without direct access to the information has to be created without direct access to the information or else connection between neurons won't form.
This is why active recall i.e. flashcards is so effective. A person can read and read and read, but until a person recalls the memory, it isn't being formed. Recollection is the point a memory is made. Using flashcards is an effective tool.
There are comments about people taking notes as an effective learning tool. But, this study suggests writing the notes after the lecture is more effective.
This is important for people interested in educational software start ups. The big take away here is that the studies show an effective way to learn that is consistent with our understanding at the neurological level of how memories are formed. However, within the learning and teaching community it is not accepted as the best practice. In the case of people developing educational software they will be torn between creating products that meet demand and creating products that are effective.
>He and his colleagues have also been promoting the idea of frequent low-stakes classroom quizzes
The more successful educational software applications, Khan Academy[2] and Doulingo, do just this but more importantly take the students answers into consideration, formative assessment, whereas the researcher in the article would only be concerned with seeded or piquing the students
>Mr. Daniel points to a disheartening 2004 study that found that some features of contemporary textbooks — prominent subject headings, questions and outlines at the beginning of chapters, and so on — actually seem to hinder some students' learning, because students read only the bells and whistles and skip the main text. Many of those textbook features were based on scientific studies of learning — but putting them into real-world practice may have backfired, at least for some students.
In the lab, introducing students to an overview of material before focusing on the specifics worked but in a real classroom, students being lazy didn't study the specifics of the material. The author is discussing lots of different concepts here. Active learning, 'interactive courses', and the type of learning suggested by this study are not mutually exclusive. Perhaps, in the case of the study but not in the real world. Search for an answer on Stack Exchange. Open the IDE. Write some code. This is a process that uses both methods but even if learning isn't the goal is probably the most effective way to learn to code.
There is a problem with education that treats learning like it is linear. Learning is cyclic. The mathematician Alfred North Whitehead had already applied Boyd's Law of Iteration[1] to education circa 1929.[3] The first step is the romantic phase where a student is casually introduced to new material. To learn about biology of fishes, go to an aquarium and experience fish, wonder about fish, be introduced to the concept of a habitat and see a cuttlefish up close. The second step in education is the precision step. This is rout memorization. This is knowing the names of different fish and which environments they live in. Learn the parts of the fish, the heart, the gills, and the lateral line. The last step is generalization. It is here that relationship between the lateral line and detecting movement is understood and new and original ideas are formed.
During this learning process on fish there is also a cyclic learning math. At some point the cycle begins anew with math and fish together. The generalization step is a grad student working with a research scientist using knowledge of fish and statistics to monitor the size of fish populations deriving conclusions that lead to policies effecting fisheries and conservation.
There is still a cycle after this. What if the grad student needs to learn a computer language to manage data and build models?
It doesn't seem wise to through out a chapter overview and outline which research shows helps if students are just lazy. This phase should be the romance with the subject matter. It should create interest on the subject that the student carries during the rest of the phases of learning.
I'm searching for information about Whitehead's Aim of Education and found an overview for teachers.[4]Is Depaul a serious university? In the OP article there are two camps; the romance and generalization learning camp and the precision active recall camp. Remember that I don't believe they are mutually exclusive. Whoever wrote this chart is clearly in the generalization only camp because their examples of precision are about making generalizations. There is a whole group of people who don't believe memorizing stuff is important and they are rewriting or misinterpreting stuff to fit their narrative.
[1] http://blog.codinghorror.com/boyds-law-of-iteration/
[2] https://www.youtube.com/watch?v=WtKJrB5rOKs
[3] https://books.google.com/books?id=WbXs-vyWPPgC&printsec=fron...
[4] http://teacher.depaul.edu/documents/romance-precision-genera...
I find it odd working with people that do not even use or own a pen, never mind a paper notepad. What I find odd is hen talking through a process or problem I am the one doing the 'napkin sketches' with the no-note people being 'mute' as far as sketching diagrams is concerned.
And taking a picture of the board with their smartphone, rather than writing out what is written there, seems to me to be a quite good predictor of having trouble.
What they are doing is logical but experience shows that for many students it is not as effective as actively writing the material.
When I understand material, it's easy to copy it down in its entirety because I can internalize and reproduce the meaning. In this case I'm with you that taking notes is a net positive, because it lets you exercise the concepts as you "copy" them.
However, when I don't understand material, copying it down is much more challenging. I can't internalize the meaning so I have to resort to glyph reproduction which is a much heavier cognitive burden and much less instructive. This makes it even harder to keep up let alone untangle the conceptual debt that got me into the situation to begin with. In this case I think notes are a net negative.
If you let people make the choice on their own, the kids who get the material but don't want to take notes suffer. If you force people to take notes, the people who are already having trouble suffer even more. Therefore I tend to favor giving (and receiving) choice. An exception would be online classes which have pause buttons that conveniently bypass the tradeoff.
The important thing is not to take notes per se, but to make sure to engage with the lecture and focus, and fully follow the mathematical argument being presented. Personally I pay attention much better without writing notes, but I know other people who pay attention best while drawing unrelated doodles, or by writing down everything that goes on the chalkboard. If I try to write everything down, the action of mechanical symbol copying takes up brain cycles and prevents me from thinking about what I’m hearing/reading.
The “strong correlation” you noticed is because taking notes is a clear signal that the student was paying attention at least enough to write something down. However, you’re looking at a symptom rather than the root cause of the problem. For those students who don’t take notes, some of them might be fully mentally engaged, and others might be daydreaming or checking facebook on their phones. Of course this group is going to do less well on average than the note-taker group when you lump them all together.
Because if you ain't gonna use it, why learn it?
I'm not trying to be snarky, I actually search for an answer.
This question keeps bugging me. I know what to do about a programming or a self-development book, but humanities are much harder in that regard.
Right now I'm reading Gibbon's Decline and Fall, and constantly stop to write down scenario ideas based on what he's describing. Of course, I also look up a lot of modern historical research on the matter — so I use recently acquired knowledge to understand related stuff and read about the same things from different sources. I also read comic books, having just finished the original Ghost in the Shell about 2 minutes before starting to write this comment; during the last week, I've set up animated-interactive-comic engine protorype in Unity3d and have been experimenting with primitive compositions that would work well both as game cameras and frozen comic panels.
If you want to read and remember something in the first place, you must have motivation. And creation and curiosity are the best kind.
Oh, and I know for a fact that I won't remember a lot of roman history a year later, and that's ok: I only want to remember staff that I actually find interesting.
There's a bit of a gap between the long term benefits and immediate actionable exercise.
Perhaps you are correct, and if I take each one of the benefits individually I can come up with an exercise that drives the point home. It seems like a daunting task though...
1) Preview - browse through the text or chapter quickly. 2) Question - think about what this text is about. 3) Read. 4) Summary - make a summary. 6) Test.
This method actually was promoted in a psychology book about memory and memorizing. So not only did they teach about how memory works, but they gave tips how to memorize that, and on top of that they set up the complete book (which was about more than memory) that way. So the chapters in the book had some kind of "preview", a short intro about what the chapter was about, a summary and some test questions, with many pictures and side notes that kept you going.
Just because it’s more effective for someone to {quickly skim, think a bit, read the chapter, then think a bit more} doesn’t mean that including those features explicitly in the text is helpful; it’s like taking a full meal and blending it into a smoothie, so the eater doesn’t need to chew. Some students will skip the main text and just read the summary bits, assuming (usually correctly) that that will suffice to pass the next quiz. Others will try to read the book but be distracted by the disjointed presentation and lose track of the shape of the arguments. Students who get used to this format will be completely lost once they hit harder material which hasn’t predigested everything up front. Many of the better students who are used to real books will find the format patronizing.
Also, it is possibly that the egotistical reader doesn't actually know better than the author.
some of my friends in the fuzzy field - policy making, legal - have such impressive recall when framing problems and solutions that right away they are already thinking of the knock on effects of various solutions several levels deeper.
It really is. I had very similar experience with learning Chinese.
At first I was all about trying to learn smarter and avoiding the 'outdated' techniques such as rote learning, but several years in I started doing some drills to push my level forward and found that rote learning, and in particular making sure to use active recall rather than passive recall helped immensely.
Of course you also need to have deeper thinking and learning going on, but as you mentioned, with rote learning and memorisation all the basics become instantly available at your fingertips and you can expend your mental energy on more productive thought processes.
I also like books that have questions at the end of each section or chapter. As the original article states, it’s easy for the reader to mislead themselves into thinking that they’re familiar with the subject area while reading – or re-reading – the text. It’s not until they’ve finished reading and attempt to answer questions that they know how well they’ve actually retained the material.
It moves conversations along with a much better flow, because now you can focus on how to improve that, make a new estimate and iterate, and discuss the real-world implications from this, such as could you provide that much power or can you buy the components somewhere.
So, enough knowledge for Fermi estimates is really useful.
It's still completely possible to learn some of the outgoing connections or equivalences after a specific search of the internet, but the more things you spend time ruminating on, the more connections/realizations seem to almost "bubble up" out of your subconscious/whatever. I think this is what [inspiration](https://en.wikipedia.org/wiki/Artistic_inspiration#Ancient_m...) is: the result of subconscious processing or drawing relationships between thoughts in your head that are memorized. That, I think, is what you wouldn't have anymore if you were to completely outsource your knowledge to the Internet. I have witnessed some brilliant statisticians come up with completely new ways for researchers to think of their data/analysis, without ever consulting Google...though that's a relatively poor example, and more related to developed Mathematical Intuition than anything else. I would argue that said developed intuition is a perfect example of drawing underlying connections between things by letting them stew around in your brain, connections that would be very much harder to find overtly.