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The Best Way to Take Notes: More Feisty Debate
Andrew Watson
Andrew Watson

Over at The Learning Scientists, Carolina Kuepper-Tetzel asks: is it better to take longhand notes? Or to annotate slides provided by the speaker? Or, perhaps, simply to listen attentively?

longhand notes

(Notice, by the way, that she’s not exploring the vexed question of longhand notes vs. laptop notes.)

Before we get to her answer, it’s helpful to ask a framing question: how do brain scientists approach that topic in the first place? What lenses might they use to examine it?

Lens #1: The Right Level of Difficulty

Cognitive scientists often focus on desirable difficulties.

Students might want their learning to be as easy as possible. But, we’ve got lots of research to show that easy learning doesn’t stick.

For instance: reviewing notes makes students feel good about their learning, because they recognize a great deal of what they wrote down. “I remember that! I must have learned it!”

However, that easy recognition doesn’t improve learning. Instead, self-testing is MUCH more helpful. (Check out retrievalpractice.org for a survey of this research, and lots of helpful strategies.)

Of course, we need to find the right level of difficulty. Like Goldilocks, we seek out a teaching strategy that’s neither too tough nor too easy.

In the world of note-taking, the desirable-difficulty lens offers some hypotheses.

On the one hand, taking longhand notes might require just the right level of difficulty. Students struggle — a bit, but not too much — to distinguish the key ideas from the supporting examples. They worry — but not a lot — about defining all the key terms just right.

In this case, handwritten notes will benefit learning.

On the other hand, taking longhand notes might tax students’ cognitive capacities too much.  They might not be able to sort ideas from examples, or to recall definitions long enough to write them down.

In this case, handing out the slides to annotate will reduce undesirable levels of difficulty.

Lens #2: Working Memory Overload

Academic learning requires students to

focus on particular bits of information,

hold them in mind,

reorganize and combine them into some new mental pattern.

We’ve got a particular cognitive capacity that allows us to do that. It’s called working memory. (Here’s a recent post about WM, if you’d like a refresher.)

Alas, people need WM to learn in schools, but we don’t have very much of it. All too frequently, working memory overload prevents students from learning.

Here’s a key problem with taking longhand notes: to do so, I use my working memory to

focus on the speaker

understand her ideas

decide which ones merit writing down

reword those ideas into simpler form (because I can’t write as fast as she speaks)

write

(at the same time that I’m deciding, rewording, and writing) continue understanding the ideas in the lecture

(at the same time that I’m rewording, writing, and continuing) continue deciding what’s worth writing down.

That’s a HUGE working memory load.

Clearly, longhand notes keep a high WM load. Providing slides to annotate reduces that load.

Drum Roll, Please…

What does recent research tell us about longhand notes vs. slide annotation? Kuepper-Tetzel, summarizing a recent conference presentation, writes:

participants performed best … when they took longhand notes during the lecture compared to [annotating slides or passively listening].

More intriguing, the group who just passively viewed the lecture performed as well as the group who were given the slides and made annotations.

Whether the lecture was slow- or fast-paced did not change this result.

Longhand notetaking was always more beneficial for long-term retention of knowledge than both annotated slides and passive viewing.

By the way: in the second half of the study, researchers tested students eight weeks later. They found that longhand note-takers did as well as annotators even though they studied less.

It seems that the desirable difficulty of handwriting notes yielded stronger neural networks. Those networks required less reactivation — that is, less study time — to produce equally good test results.

Keep In Mind…

Note that Kuepper-Tetzel is summarizing as-of-yet unpublished research. The peer-review process certainly has its flaws, but it also can provide some degree of confidence. So far, this research hasn’t cleared that bar.

Also note: this research used lectures with a particular level of working memory demand. Some of our students, however, fall below the average in our particular teaching context. They might need more WM support.

We might also be covering especially complicated material on a particular day. That is: the WM challenges in our classes vary from day to day. On the more challenging days, all students might need more WM support.

In these cases, slides to annotate — not longhand notes — might provide the best level of desirable difficulty.

As is always the case, use your best professional judgment as you apply psychology research in your classroom.

Pro Tips: How To Think Like A Cognitive Scientist
Andrew Watson
Andrew Watson

Here’s an enthusiastic article from down under.

cognitive science principles

The Sydney Morning Herald reports that Victoria University has introduced an “intensive” course model. Students don’t take multiple courses over many weeks. Instead, they take one course for four weeks. Students absorb a full term of learning in one zealous month.

The students interviewed by the paper were enthusiastic. 19-year-old Alice Growden says:

I am learning a lot more; I feel like the information is easier to understand this way. It’s easier to do better. You are not slammed by four different assignments at once. It is much more balanced.

The Morning Herald’s tone (and my Twitter feed) insist on the benefits of these intensive courses. Seemingly only grouchy professors — who fret that they won’t have enough time for research — object.

Cognitive Science Principles, Take 1: The Spacing Effect

Despite this article’s enthusiastic tone, cognitive scientists will quickly doubt the benefits of this “intensive” course schedule.

After all, we have lots of research showing that spreading practice out over time creates more learning than bunching that practice all together.

For instance, Doug Rohrer looks at shorter and longer lengths of time that courses cover topics. His conclusion — in the modest language of research:

Long-term learning is best achieved when the exposures to a concept are distributed over time periods that are longer rather than shorter.

He finds this conclusion to hold even for intensive language courses, where teachers most often champion the strategy.

Many other scholars have reached this same conclusion. Nicholas Cepeda (along with Doug Rohrer, Hal Pasher, and others) worked with more than 1300 students, and retested them up to a year later.

Their conclusion? Spread learning out over time.

This idea holds even for flashcard study strategies.

Pro Tip #1: If you want to think like a cognitive scientist, beware teaching strategies that promote lots of learning in a relatively short time.

Cognitive Science Principles, Take 2: The Illusion of Knowing

As quoted above, student Alice Growden emphasizes the ease with which she learns:

“I am learning a lot more; I feel like the information is easier to understand this way. It’s easier to do better.”

Yet here again, cognitive scientists will be skeptical.

Remember this principle: easy learning doesn’t stick. Instead, teachers should foster a desirable level of difficulty.

In fact, this principle helps explain the principle above. Spreading practice out over time helps students learn better because it creates additional cognitive challenges.

The extra mental work that students do, in turn, creates more enduring neural networks to encode new memories.

Another example: rereading the textbook.

Students LOVE rereading the book, because it’s relatively easy. This study strategy gives them the illusion of knowing. They say to themselves: “I recognize that passage! I must know this!”

Alas, this illusion comforts students, but isn’t helping them learn more.

I frequently cite Nick Soderstrom’s comprehensive article distinguishing between two results of study: performance vs. learning.

Students often believe that if they “perform” well — say, they recognized everything in their notes — then they have studied effectively. Alas, higher early performance often results in less learning.

Pro Tip #2: If you want to think like a cognitive scientist, beware teaching strategies that emphasize how easy new learning will be. Easy learning doesn’t stick.

 

A Fresh Desirable Difficulty?
Andrew Watson
Andrew Watson

AdobeStock_114492954_Credit

Robert Bjork and Elizabeth Ligon Bjork have argued that the right kind of difficulty can facilitate ultimate learning. These difficulties–“desirable difficulties”–require extra cognitive engagement, and thereby promote long-term memory formation.

Presenters at Learning and the Brain conferences often talk about “spacing,” or “interleaving,” or the “testing effect.” (In fact, Ian Kelleher has recently blogged about these strategies.) All these techniques boost learning by increasing desirable difficulty.

Nicholas Gasperlin wanted to know: is it desirable to divide students’ attention? Would that kind of difficulty enhance learning?

The short answer: No. Forcing students to focus on two things does ramp up the level of difficulty; however, it does not increase learning.

(However, it decreases learning much less than I would have predicted.)

The big news here, in my opinion, is that researchers are starting to ask this question. Up until now, we have heard a great deal about desirable difficulties, but haven’t gotten much guidance on UNdesirable ones. Now–finally–we’re starting to get research-based answers.