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Learning How to Learn: Optimists and Realists
Andrew Watson
Andrew Watson

In schools, optimism helps teachers a lot.

At the beginning of the year, my students JUST DON’T KNOW all sorts of things: how to write a good essay; how to analyze Macbeth; how to define “gerund.”

In all likelihood, your students don’t know things too.

Group of middle-school children working with electrical equipment and an ipad

Because I’m often an optimist, I trust that — by the end of the year — they WILL KNOW all those things, and lots more. So, I suspect, are you.

Our optimism prevents despair. (“They’ll just never learn the …”)

At times, however, that optimism can build unreasonable hopes and expectations.

For instance:

I hear a GREAT DEAL of enthusisam about the concept of teaching students “to learn how to learn.”

If students know all the cool stuff that we discuss at Learning and the Brain conferences, surely their academic lives will be better.

The optimist in me says: “that sounds GREAT.” The realist in me says: “I want to slow down and ask some pointed questions…”

A Core Principle

I make my living by explaining cognitive science to teachers. I talk about working memory and attention and retrieval practice and prior misconceptions and executive attention…the list goes on.

When I think about explaining cognitive science to students, I return to this vital question:

Realistically speaking, can students DO SOMETHING with this information?

If the realistic answer to that question (have I written “realistic” often enough?) is not an emphatic “YES,” then I’m very hesitant about sharing it.

For example: retrieval practice.

By now, this blog’s readers know that actively calling information to mind (“retrieval practice”) enhances learning — especially when compared with rereading (“simple review”).

I could link to dozens of sources, but — to keep things simple — I’ll simply highlight this book review, and this website.

Obviously, we teachers should use as much retrieval practice as we reasonably can.

But: should we tell our students about retrieval practice, so they can “learn how to learn”?

Let’s go back to my guiding principle:

Realistically speaking, can students DO SOMETHING with information about retrieval practice?

Well: obviously YES.

Students can…

… make flashcards

… quiz one another (rather than review their notes)

… outline a chapter from memory (rather than reread the chapter).

Students have ALL SORTS of ways to make retrieval practice their own, and to benefit from it.

So, it makes sense to tell students about this part of cognitive science.

In truth, I tell my students about retrieval practice at the beginning of every year. (I once had a student THANK ME for doing so much retrieval practice. No, I’m not making that up.)

In this specific case, students can absolutely “learn how to learn.”

Next Question

If students should learn about retrieval practice, what about other “desireable difficulties”? What about — for example — spacing and interleaving?

You know the drill:

Realistically speaking, can students DO SOMETHING with information about spacing and interleaving?

Honestly, I have my doubts.

Students have relatively little control over their practice schedule. They practice when their homework requires them to do so.

In other words: they can’t simply decide to do half their “gerund” exercises tonight and half later in the week. They have to do them when I assign them.

So: it’s on me (and other teachers) to design our syllabi to space and interleave practice.

But, for the most part, students can’t do much with this information, so I don’t make a big deal about it with them. (I’m relieved to know that Bradley K. Busch largely agrees with me on this point.)

Yes: students should probably know about spacing and interleaving so that they can manage their college study habits well. But until they get to college, that information doesn’t offer them much practical guidance (except in unusual circumstances).

And the next…

Sadly, I think most information from cognitive science fits in this latter category.

That is: TEACHERS should know about working memory. (Teachers should obsess about working memory.)

But, I don’t think students can do much with information on this topic.

That is: when they’re experiencing working memory overload, they don’t have enough working memory left to get metacognitive about working memory reduction strategies.

The potential solution, paradoxically, exacerbates the problem.

Heck, it took me YEARS to figure out how to apply my knowledge of working memory limitations to my teaching. It seems somehow unfair to ask students to accomplish a task that challenged me so greatly.

Heretically, I don’t think that students really need to know much about mindsets either. Instead, I think TEACHERS and SCHOOLS should create policies and practices with this theory in mind.

Those mindset posters probably don’t do any harm.

But if they’re not enacted by the teachers’ words and decisions, that contradiction makes the students’ knowledge useless.

Telling students about mindsets (probably) doesn’t help them learn how to learn. Behaving and speaking as if we have a growth mindset helps students learn.

An Alternative Perspective

I’ll say all this in a different way: I believe teachers have a distinct and vital role in students’ learning.

Students have their work to do — obviously. And we have ours.

Those two roles sometimes overlap. But just as often, they remain distinct.

We should know our subject.

And, we should know from cognitive science.

In those few cases (retrieval practice!) where students can use that knowledge immediately, we should eagerly share it with them.

In the more common cases where they can’t (e.g.: Posner’s tripartite theory of attention; dopytocin), we should put it to use, but not burden students with extraneous cognitive load.

This perspective might not be uplifting and optimistic, but I hope its realism will ultimately help my students learn better.

Introducing “Schema Theory”
Andrew Watson
Andrew Watson

In the last few years, I’ve increasingly wondered if “schema theory” just might work a special kind of magic.

If I understand it right (and if it’s true), then schema theory unites two distinct topics:

the cognitive science behind good teaching, and

the curriculum.

Because that result would be, ahem, SPECTACULAR, the theory merits careful attention.

In this post, I’ll try to explain:

What schema theory is,

Why teachers should care, and

What its limitations seem to be.

I’m thinking of this post as the first of a series: I hope to flesh out this concept more substantially over time.

What Is Schema Theory?

Schema theory models the mental structure of knowledge.

In other words: if I say that I know something, schema theory tells me what that knowledge might look and act like in the mind.

This theory rests on two key points.

First: a schema comprises a vast, interconnected web of declarative and procedural knowledge.

So, if I say “I know what a ‘pet’ is,” I’m claiming to have a “pet” schema. That schema includes declarative/procedural knowledge:

Specific animals: dog, cat, goldfish, hamster.

Concepts, like “tame” or “belongs inside the home.”

Procedures, like “take for a walk” or “clean the litterbox.”

Second: in those schema, the bits of knowledge function together fluentlywhich is to say automatically.

If I tell a friend that I’ve gotten a new pet, she would IMMEDIATELY know a) that I’m talking about a particular group of animals, b) that my furniture might be in peril, and c) that our early morning walks might be disrupted if I’m bringing a dog along.

She doesn’t have to stop and think her way through all those pieces. They spring instantly to mind, because she has activated the “pet”schema.

Similarly, if I told her I’d gotten a pet lion, she would IMMEDIATELY think

“Lions aren’t typically pets!”

“I wouldn’t want a lion inside my house!!”

“I wonder who has to clean THAT litterbox!!!”

Those thoughs all happen unprompted because I’ve violated the “pet” schema, and she’s trying to make “lion” fit into it.

To review these two key points:

LOTS of intricately connected declarative and procedural information,

used FLUENTLY/AUTOMATICALLY together.

That’s a (very basic definition of a) schema.

Why Teachers Should Care About Schema

Two reasons (at least).

First:

We teachers often struggle to identify our goal. Do we want our students to…

… achieve today’s learning objective?

… demonstrate proficiency in the curriculum?

… meet the state standards?

If yes, which of these goals takes priority?

In my view, the concept of “schema” brings all those goals together.

When students build effective and useful schema, they unite granular bits (say, “learning objectives”) into larger coherent and fluent wholes (say, “the curriculum” as a way of meeting “state standards”).

In other words, no matter which way we think about students’ acadecmic and curricular progress, we can talk about “schema.” Conversations that once seemed fragmented and incoherent can come together into a complex, thoughtful whole.

Second:

Cognitive science helps us understand the strategies that most effectively build schema.

How do we get all those small bits (“cat, dog, clean litterbox, tame, not lion”) to fit together so they operate fluentely as a whole (“pet”)?

Well, let’s talk about working memory. And retrieval practice. And generative learning. And desirable difficulties. And…

In other words:

We can use the same conceptual structure (“schema theory”) to unite the content we want to teach with cognitive science.

We’ve got one big framework that captures both curriculum and pedagogy.

That’s (potentially) AMAZING AND HELPFUL.

 Just imagine how clarifying such conversations could be.

What Are the Limitations of Schema Theory?

In a word: research. As far as I can tell, we ain’t got much.

When I ask about the research basis for schema theory — asking for a “research basis” is a hobby of mine — I get incomplete answers.

Some folks refer me to scholars who wrote in the 1950s (or 1930s). That’s an interesting theoretical basis, but it isn’t current psychology research.

Others point to individual studies here and there. (Anderson 1983 gets a lot of attention.) But those individual studies — in my view — don’t (yet) remotely add up to strong support for the theory.

One scholar I spoke with responded with this question: “well, how would you research the theory? What study would you do?”

That’s an important question…but in this field we focus on research-based assertions. We can’t simply wave away the need for research.

I’ve been trying to make sense of this research field in recent months; I’m currently working with a friend to organize it all.

So, here’s the conundrum I face:

Schema theory could be spectacularly useful.

We don’t seem to have lots of research making a strong case for the theory (although LOTS of people act as if we do).

Of course, at Learning and the Brain, we’re ALL ABOUT the research. Until I see more, I’m always hesitant to espouse the theory — no matter how useful — too strongly.

Some Additional (Unrelated) Notes

First:

Oddly, schema theory lives a double life.

In Britain, it’s old news. I believe they went through a “schema theory” phase 20 years ago, and now Brits (well, Brits on eduTwitter, anyway) talk about schemas as if we all know what they are.

In the US, almost no one talks about them at all. (I am, as far as I know, the only person in Learning-and-the-Brain world to do so regularly).

Second:

Technically speaking, the plural of “schema” is “schemata” (think “stigma/stigmata”). Very few people actually use that word. Some say “schemas.” Others use “schema” as both singular and plural.

Third:

If you know from schema theory, you’re quite possible vexed that this post is so inadequate.

I haven’t linked to Dr. Efrat Furst’s specatularly useful website. I haven’t linked to Sarah Cottingham’s immensely helpful blog post.

I’ve even left out the famous restaurant example — everyone’s go to for explaining a schema.

This frustration has merit, because I’ve barely introduced a complex (and potentially vitally important) topic.

If you have studies you want to share, books to recommend, websites to laud, PLEASE let me know.

I’ll keep working out my thinking, and I’m hoping you’ll help me along the way.

Should students “teach” other students?
Andrew Watson
Andrew Watson

You will often hear about an exciting strategy to help students learn: they should teach one another.

Imagine a unit on — say — “siege warfare.” And, imagine that my student (let’s call him Lancelot) learns enough about siege warfare to teach his classmates about …

… its strategic and tactical requirements,

… the benefits and detriments of siege warfare,

… the changes in siege warfare over time,

Well, Lancelot has LEARNED A LOT about the topic.

Even better, if Lance learns enough to teach this material effectively, that extra level of mental lift will no doubt benefit his understanding.

It seems that “students teaching students” could result in deeper learning. What’s not to love?

What’s Not To Love

Long-time readers know that I struggle to accept uplifting advice. If a teaching suggestion sounds really heartwarming and feels really good, I worry that all that feel-good warmth has distracted me from the skepticism that is my job.

Students talking with each other around a table

In this case, “students teaching students” SOUNDS so wonderful. For that reason, I feel compelled to ask some tough questions and offer some downbeat assertions.

First Concern

We know that humans have limited cognitive resources. For instance, adults have alarmingly small working memory capacities — and most of our students have less than we do.

How should Lancelot use those limited resources of his?

I — as the teacher Merlin — could ask him to focus on learning the topic.

Or, I could ask him to divide those resources: use some working memory to understand the core ideas, and some working memory to think about effective explanations and exercises that will help his classmates learn.

Sadly, the more WM that goes to teaching others, the less that Lance has to understand the topic.

Or,  if Lance uses all his WM for understanding sieges and none for teaching, then his teaching will be really ineffective.

After all: who knows better than teachers that good teaching requires LOTS of cognitive resources.

In other words: I worry that asking Lance to teach his peers will have several bad outcomes:

Either: Lance won’t understand the topic well;

Or: his classmates won’t learn very much;

Or: both.

I might not like that conclusion; it certainly isn’t heartwarming. But a basic understanding of working memory’s limitations makes it hard for me to reject this perspective.

Second Concern

When I ask Lance to teach the other knights at the round table, I’m asking him to do two distinct mental tasks:

First: he has to understand siege warfare (or covalent bonds, or exponent rules, or…)

Second: he has to repackage that understanding into specific explanations and tasks that help others understand. (After all, that’s what teaching is.)

Note, however, that if Lance doesn’t understand covalent bonds, he can’t possibly teach that concept to others effectively.

For that reason, I (teacher Merlin) need at least one additional step:

I need to ensure that Lance understands the chemistry REALLY WELL before I set him off on his teaching question.

Here’s the kicker: our students typically are novices in the topics we want them to learn. Because Lance is a novice on the topic of covalent bonds, he simply CAN’T KNOW whether or not he understands them well.

As a beginner, he doesn’t understand enough to know if he understands.

Unless I structure my unit plan with great foresight and lots of double-checking, it’s likely that I’ll ask someone who simply cannot know if he knows to teach his classmates.

Whether or not I have helped Lance learn, I almost certainly have fallen short on my responsibility to ensure that Lance’s classmates learn.

Thoughtful Pushback

Because I’m the luckiest guy on the MBE planet, I spent this last week working with 50 teachers in an online workshop. We discussed working memory and long-term memory and attention and schema theory — and all their myriad classroom applications.

Honestly, they were one of the most thoughtful and engaging groups I’ve ever worked with.

When I explained my skepticism about “students teaching students,” two participants pushed back with thoughtful rejoinders.

One said (I’m summarizing, not quoting):

When parents ask me how they can help their children study, I say:

“have them teach you the topic we worked on in class. Even if you don’t know a lot about it, you’ll know enough to be able to spot the weaknesses in their explanations, and to ask follow up questions.

And, you’ll get to know more about their school lives!”

Another said (more summarizing):

I have my students teach each other as a kind of review.

That is: each of them uses marker to draw a particular diagram (say: the digestive system) on their desks.

Then, they rotate to the next desk, and annotate in a different color: they add, they ask questions, they suggest updates.

Then, they rotate again, and add in yet a different color.

So, when a student gets back to her original desk, she has learned SO MUCH from her peers. And, she has helped her peers by making her own annotations.

In other words: we have LOTS of reasons to ask students to teach others.

 “Teaching” vs. teaching

These comments helped my clarify my thinking, because they force me to define “teaching” more precisely.

In the first place, I should say that I think both of these teachers’ strategies are EXCELLENT. In both cases, students are — basically — using retrieval practice to review material.

That is: both teachers have already taught the concepts to their students. When students explain ideas to their parents, or recreate and annotate diagrams on desks, they must re-activate their prior knowledge.

In this case, students don’t simply review concepts (“review” = less effective). They retrieve concepts (“retrieve” = more effective).

However, neither of these excellent strategies precisely fits my definition of teaching. When I think of teaching, I think of…

… explaining a concept or procedure to someone who doesn’t yet know or understand it,

… with the result that this person does know or understand it.

So, for instance, the strategy of “teaching parents” succeeds whether or not the parents understand. The goal isn’t to benefit the person being “taught” (the parent), but to benefit the person “teaching” (the student who’s doing the explaining).

Or, the strategy of “teaching the digestive system” probably succeeds because the teacher ALREADY taught the material. The students aren’t providing original instruction; they’re reviewing (and perhaps adding to) knowledge they got from the teacher.

In other words: I worry about “students teaching students” depending on the definition of “teach.”

Having students explain ideas to someone else sounds like a great idea — as long as I don’t need “someone else” to understand.

Having student review ideas with each other sounds like a great idea — especially if Merlin already explained those ideas in detail.

TL;DR

Teachers should certainly invite students to explain their thinking to other people.

We should ask them to review with one another.

But, except in unusual circumstances, Merlin should teach Lance — and all the other round-table knights — before asking him to explain or review.


A final note. I think graduate students should be able to learn concepts independently and explain them well enough for others to understand. That’s their professional goal.

Perhaps college students can do so…although (remembering my own overconfident college days) I worry that this strategy might not succeed.

In my view, K-12 students almost certainly can’t meet the 2-part definition of “teach” above — certainly not without LOTS of careful training and review.


A final, final note.

This blog post (atypically) cites no research. I’ll start looking at research on the topic of “students teaching students” and report back.

If you have suggestions of studies you like, please let me know!

How Teaching Happens by Paul Paul Kirschner, Carl Hendrick, and Jim Heal
Erik Jahner, PhD
Erik Jahner, PhD

Screen Shot 2023-06-26 at 6.38.37 PMWho would have thought that a book about teaching could begin with a discussion of the gore of public amputations in the 19th century and blood-stiffened frocks that could stand on their own? But this is the perfect beginning for a book that drives home the point that good teaching does not always look like we expect. It’s not all about performance, and it’s not always about students appearing to be engaged in tasks. Effective learning and effective teaching are not always what we see in the movies or find the most entertaining. Effective teaching is nuanced and dynamic.

From the authors of How Learning Happens, Paul A. Kirschner, Carl Hendrick and now with Jim Heal, comes this reflective anthology of How Teaching Happens: Seminal Works in Teaching and Teacher Effectiveness and What They Mean in Practice. This book is an accessible version of an anthology of 30 research articles and some books that represent the most significant findings and discussions in the field of education over the last few decades. It is a collection of efforts to show us some light toward effective education while helping us avoid educational malpractice.

The book is divided into six sections:

  • What makes effective teachers?
  • What is important in designing instruction and curriculum?
  • What is the foundation of effective teaching techniques and frames of mind about teaching?
  • What is the importance of content knowledge and domain specific pedagogical practice?
  • How do effective teachers interact in the complex nuanced space of the classroom?
  • How to assess learning effectively and ineffectively?

The authors do not mince words and give us refreshing honesty and enjoyable framing. The book wraps up with an important discussion of what each teacher needs to know – but does not – and a description of the “sorry state” of teacher training in the United States, showing us opportunities on the path ahead.

This is not just an anthology of articles, however. It is an expertly crafted teaching tool that scaffolds your exploration of these seminal works and their related content, giving readers access to the content of these inspiring ideas in education without bogging down the reader with overly pretentious, theory-laden, and “researchy” language. In essence, its goal is to communicate the main points of these influential research articles and perspectives, making it easy to understand and efficiently reference. It is also a useful doorway into the original publications as it introduces the main points and then refers the reader to the original article for a deeper dive.

The structure of each chapter enables the reader to quickly access the information at a level that is most useful to satisfying their reading goals. Each chapter begins by addressing why one should be concerned about the topics covered. It does an excellent job of setting up examples that pique the reader’s curiosity and get them engaged. Then the original abstract of the article being addressed is presented. Then the chapter translates the theory, findings, and methods from the original article into a quick, easily accessible format. It boils the whole thing down to what you need to know. This is then followed by excellent suggestions for translation into the classroom that are presented in a brief outline. The suggested resources throughout the book are easily accessible via QR codes and links that allow you to quickly grab your phone and prep a podcast or additional reading for later.

This is an excellent textbook for new teachers, but it is also a great book for experienced teachers, school leaders, and education researchers to recenter thinking on what is important in teaching. As the authors point out, it is only the tip of the iceberg. But in my opinion, it is a very solid foundation that can be the start of a journey of exploration. This book is the necessary sequel to How Learning Happens. Now that we see how learning happens, how does being an effective teacher happen? The reader will find themselves reflecting on their practice, values, and beliefs that drive their pedagogy and be introduced to underappreciated ways of thinking. The authors do a consummate job of inviting and preparing the reader to continue their developmental journey to fulfill their goal of being leaders, educators, and lifelong learners.

Oops, Twitter Did It Again: Creativity and the “Positive Manifold”
Andrew Watson
Andrew Watson

I’ve written before that edu-Twitter can be a great help to teachers. I myself regularly learn about fascinating research, and practical teaching applications, from the wise accounts I follow.

Child sitting on a stool creates fantastic color patterns in the air

Of course, Twitter is also notorious for its edu-nonsense. (No claim about learning styles is too outlandish for the little blue bird.)

I ran across a tweet thread recently that captured this complexity; it strikes me as a healthy reminder of Twitter’s features and foibles.

Here’s the story…

Extraordinary Creativity

A well-known tweep (with 10s of thousands of followers) recently recounted the following story:

An engineer who specialized in designing racing-car engines saw a contest to devise an advertising slogan.*

On a whim, he decided to enter. Drawing on principles from engine design, he conjured up an out-of-left-field slogan that captured public imagination and made the product a best seller.

Now a newly minted ad-executive, this engineer embodies the “positive manifold” as described by psychologist Charles Spearman.

In brief, the “positive manifold” suggests that the strengths of cognitive abilities are correlated; so, skill at race-car design correlates with skill at devising advertising slogans.

In other words, the tweep writes, “expertise gained through specialization is transferrable.”

This story captures several themes beloved by twitter – especially the joyous flexibility of creativity. Skill at anything, in this school of thought, benefits skill at anything else – because “expertise gained through specialization is transferrable.”

When applied to schooling, this argument suggests that students don’t need to learn any particular stuff.

As long as students are learning something, the expertise they gain by learning that something will help them everywhere else. (Again: expertise is transferrable.)

Early Doubts

This approach to creativity has lots of appeal. However, research has tended to contradict it.

Here’s why:

The human mind includes several alarming cognitive bottlenecks.

On the one hand, our long-term memory is functionally infinite. We can know and remember an astonishingly large amount of stuff – both skills and procedures.

On the other hand, the part of the mind that combines pieces in new ways is alarmingly small.

This cognitive function, called “working memory,” just doesn’t have much space.

For instance:

If I ask you to put FIVE random words into alphabetical order in your head, you can probably do so easily enough.

If, however, I ask you to put TEN random words into alphabetical order, your working memory will start smoking and (temporarily) explode.

Creativity, of course, requires combining pieces in a new order – that is: it requires working memory.

Unless someone has organized and consolidated a VAST amount of information in long-term memory, it will be difficult to execute this highly demanding working memory task.

In other words: this story about an engineer-turned-ad-executive sounded really unlikely.

Contra the tweep’s claims, expertise gained through specialization is NOT transferrable to another specialty. Knowing a great deal about racing-car engines almost certainly doesn’t help create catchy advertising slogans.

Not So Fast

Cognitive scientists generally agree that expertise can’t be transferred, and that creativity requires lots of expert background knowledge.

But remember: the tweep has cited Spearman’s “positive manifold.”

In fact, he notes that a well-known Learning and the Brain speaker has written about the positive manifold.**

If my own organization is touting this concept, surely I should value its application.

Now I have an embarrased confession:

I’ve never even heard of the “positive manifold.”

Given my alarming ignorance, perhaps I should simply admit my prior beliefs about transfer and creativity were wrong.

Instead, I looked up “positive manifold.”

Turns out: the positive manifold has NOTHING TO DO with transfer of expertise.

Spearman found that various measures of intelligence correlate with one another. People who study intelligence write about “g” — a “general intelligence” — because the various subscales on intelligence correlate.

Of course, that finding does not remotely suggest that expertise in race cars correlates with (or causes) expertise with advertising. Spearman never said any such thing.

He was investingating the NARROW topic of intelligence testing, not the BROAD question of creativity and transfer.

But wait: what about that Learning and the Brain speaker?

Sure enough, his book devotes about a page and a half to “positive manifold.” Those pages explain that various measures of intelligence correlate — and says nothing whatsoever about creativity, or about transfer of expertise.

Savor the Irony

Here’s the larger perspective: someone who clearly has Twitter expertise (10s of thousands of followers) claims to have another kind of expertise: expertise in creativity and psychology research.

However, his first kind of expertise does not transfer to the second kind of expertise. He doesn’t know enough about psychology to know how little he knows. (This mistake might sound like Dunning-Kruger to you…)

And so, when he writes that “expertise gained through specialization is transferrable,” we should notice that:

First: he’s almost certainly wrong, and

Second: his own tweet thread is an example of his very wrongness. His expertise did not transfer.

I should note, by the way, that I haven’t investigated the story about the engineer. It’s possible, I suppose, that lightning struck in this one case.

However, teachers and school leaders should absolutely NOT act as if this one anecdote matters for education or curriculum design.

And this episode should remind us: Twitter can offer intriguing suggestions…but we should always investigate them skeptically.


* As is typical on this blog, I’m not identifying the tweet I’m criticizing. My goal is not to name/shame an individual, but to raise alarms about common practices. This tweet is just one example.

** Again: I’m being vague so as not to identify the tweet.

 

Have I Been Spectacularly Wrong for Years, Part 2 [Removed 6/14/23]
Andrew Watson
Andrew Watson

On Sunday of this week, I published my response to my interview with Dr. Morgan Polikoff.

When I shared it with him, he responded that I had misrepresented his position.

I try hard never to misrepresent another’s position — especially when I disagree with it. For that reason, I have removed the post.

The Best Place to Study…Depends on the Goal
Andrew Watson
Andrew Watson

A wise friend recently asked a question that goes something like this:

Research shows that new memories connect to the places where they’re formed.

So: if I study geometry in the library, I’ll do better on a geometry test taken in the library than on the same test taken in a nearby classroom.

Why? Because my understanding of geometry is somehow connected to this particular place. (Researchers call this “context-dependent learning.”)

So, here’s the question:

Doesn’t it make sense for students to study in the room where they will ultimately take the test?

This question, it seems to me, highlights two important truths about the intersection of research and education.

Let’s explore:

Truth #1:

Psychology researchers discover ALL SORTS of useful information about learning (and therefore about teaching).

So, indeed, we do have a good research pool showing that we remember more of a topic in the place where we studied it. (Say: geometry in the library.)

That’s really helpful to know!

If you’re interested in this story, check out How We Learn by Benedict Carey. He’s a science writer for the New York Times, and has a story-teller’s knack for making even dry material fascinating.

In this case, the story begins with scuba-diving, so it’s exciting all on its own.

Of course, the good research news doesn’t stop there. For example:

We’ve got lots of good research (say, from Dr. Barbara Fenesi) suggesting that mid-lecture exercise breaks benefit learning.

Also: we’ve got research (say, from Dr. Faria Sana) showing that off-task laptop use distracts the laptop user. Even worse, it distracts the people sitting behind the off-tasker!

This list could go on for pages.

Each of these research pools might result in practical school-keeping suggestions:

Students should study in the room where they take the exam!

Classes should stop for exercise breaks!!

Schools should forbid laptops!!!

And so forth.

So, again: Truth #1 is that psychology research has LOTS of potentially useful information for teachers.

I promised that my friend’s question would prompt two truths. So, here’s the second…

Truth #2:

Psychology researchers and teachers think about similar questions in very different ways.

For that reason, teachers should KNOW about psychology research, but shouldn’t necessarily DO what research implies.

Let’s take these examples one at a time.

Yes, because of “context dependent learning,” students will do better on tests if they study in the room where the test will be held.

But as a teacher, I don’t want my students to know the material for the test. I want them to KNOW THE MATERIAL, full stop.

Young woman sitting on a brightly lit staircase working on a computer

For instance: when my students learn about comedy and tragedy, I want them to write good papers about Macbeth and Fences.

But — MUCH more important – I want them to think about comedy and tragedy at unexpected times in the future.

If you watched the 3rd episode of “Last of Us,” you know that it fundamentally rewrites the basic rules of comedy. I didn’t anticipate that connection when I taught my students about comedy and tragedy…but I certainly hope that they make it spontaneously.

And – crucially – I hope they make the connection somewhere other than our classroom. I don’t want their knowledge to be bound up in one context; I want their knowledge to be gloriously flexible.

So, my advice to my friend is: do NOT have students study where they will take the test. Have students study in many different places so that their knowledge doesn’t become dependent on only one context.

The Bigger Picture

As you can see, the practical teaching advice implied by research doesn’t always make actual classroom sense. (In fact, teachers often assume that researchers are offering advice; often, they’re simply answering research questions.)

Let’s keep going with that idea.

Should we interrupt class for exercise breaks? Fenesi’s research implies we should.

Well, maybe.

When I teach my acting classes, my students are already up and moving. What additional benefit would exercise provide?

If I taught in a business school, or a divinity school, or a meditation retreat, it’s not obvious that exercise fits the appropriate classroom vibe.

Teachers benefit from knowing about Fenesi’s exercise research, but we should apply it flexibly.

Well, surely we should ban laptops; Sana’s research is regularly cited to make that case.

Again: maybe.

If I taught in a large lecture hall and had no way to control students’ laptop use, I’d certainly consider doing so. But:

Professors can explain the perils of laptop multitasking, and ask TAs to keep an eye out for potential distractors. (A friend of mine does just this.)

In my own classroom, it’s relatively easy to see who is or isn’t multitasking; why forbid a useful tool if I don’t have to?

Here again, I’m glad that Sana’s research offers us guidance, but we have to think for ourselves as we apply it to the classroom.

TL;DR

Q: Should students study in the room where they will take the test?

A: Like so much “research-based teaching advice,” this idea seems like a tempting application of a simple research finding.

BUT, we always have to think beyond these findings to understand how research can best guide our classroom practice.


Carey, B. (2015). How we learn: the surprising truth about when, where, and why it happens. Random House Trade Paperbacks.

Fenesi, B., Lucibello, K., Kim, J. A., & Heisz, J. J. (2018). Sweat so you don’t forget: Exercise breaks during a university lecture increase on-task attention and learning. Journal of Applied Research in Memory and Cognition7(2), 261-269.

Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers & Education62, 24-31.

Should Teachers Explain or Demonstrate?
Andrew Watson
Andrew Watson

If I were a chess teacher, I would want my newbies to understand …

… how a bishop moves,

… how castling works,

… what checkmate means.

To help them understand, I could…

show them (“see how this piece moves; now see how that piece moves”)

tell them (“checkmate is defined as…”).

Both strategies sound plausible. Both probably help, at least a little bit.

Is one better than the other?

Today’s Research

I recently came across a fascinating study that explores this question.

A chess board seen from an angle, with red arrows showing how pieces might move in different combinations

In this research, two strangers met over an online puzzle — sort of a maze with prizes at the end of various paths.

Sometimes, one stranger could EXPLAIN to the other the best strategy to get the most points. (“Get the pink triangles, then the hollow squares, then the green circles.”)

Other times, one stranger could SHOW the other the winning path. (“Watch me go this way, now this way, now this way.”)

Which method worked better, show or tell?

PLOT TWIST.

In this case, the answer depended on the complexity of the puzzle.

For simple puzzles, both methods worked equally well.

For complex puzzles, telling helped more than showing.

I would have been surprised if there were a straightforward answer to the question; I am, therefore, more inclined to believe this “it depends” answer.

Take Two

This result — explaining complexity > showing complexity — prompted the researchers to test a second hypothesis.

In this case, the research details get very tricky, so I won’t go into them. But the basic idea was:

Perhas both words and actions can explain concrete things, but

Perhas words do better than actions at explaining abstract things.

Sure enough, the second experiment supported that hypothesis.

As the researchers say in their first paragraph:

Our findings suggest that language communicates complex concepts by directly transmitting abstract rules. In contrast, demonstrations transmit examples, requiring the learner to infer the rules.

In brief, the more abstract and complex the concept, the more important the words.

Teaching Implications?

Before we rush to reform our teaching, we should notice several key points about this study:

It involved adults working with other adults, and strangers working with strangers.

The participants were not — as far as I know — teachers. That is: they have neither expertise nor training in helping others understand.

The task involved (sort of) solving mazes. I’m an English teacher; my teaching — and perhaps your teaching — doesn’t focus on maze-solving like mental activity.

In other words, because this research differs A LOT from typical classroom work, its findings might not apply precisely to classroom work.

Teaching Implications!!

That said, this study reminds me of an important lesson:

Practice. My. Words.

That is: when I’m explaining a concept to my students for the first time, I should script and rehearse my explanation carefully.

Now, because I’ve been teaching for a few centuries, I’m occasionally tempted to wing.

Yes, “indirect object” is a tricky concept … but I understand it well, and I’ve explained it frequently over the years, and I’m sure I’ll do just fine…

No, wait, stop it. This research reminds me: words really matter for helping students understand abstractions.

I need to get those words just right, and doing so will take time, thought, and concentraction. (Ollie Lovell emphasizes a similar idea when he writes about the importance of “bullet-proof definitions”; for instance, in this book.)

A second point jumps out at me as well.

This study contrasts showing and telling. Of course, most of the time we combine showing and telling.

As I’ve written before, Oliver Caviglioli’s Dual Coding offers a comprehensive, research-informed exploration of this complex blend.

When I think about dual coding, I typically focus on the “showing/drawing” half of the “dual.” This study, however, reminds me that the “telling” part is equally important — and, in the case of highly abstract concepts, might even be more important.

 

In brief, in my chess classroom:

I can simply show my students how bishops move: that’s easy.

But “checkmate” is complex. I should both show and tell — and get the telling just right.


Sumers, T. R., Ho, M. K., Hawkins, R. D., & Griffiths, T. L. (2023). Show or Tell? Exploring when (and why) teaching with language outperforms demonstration. Cognition232, 105326.

Book Review: Teaching Secondary Science, by Adam Boxer
Andrew Watson
Andrew Watson

Let’s start by making this simple:

First: You should absolutely buy Adam Boxer’s Teaching Secondary Science: A Complete Guide. Sooner is better than later.

Second: You will probably not READ Boxer’s book so much as you will STUDY it. Have a pen handy; some sticky notes; your favorite memory app. Whatever system you use to keep track of big ideas and vital details — have it ready to work.

Now that I’ve been bossy, let me explain why.

Two Big Surprises

Surprise #1:Book Cover for Adam Boxer's Teaching Secondary Science: A copmlete guide.

I myself don’t teach high-school science. (I taught 10th and 12th grade English, and worked at a summer camp for 8-14 year olds.)

So, the title (Teaching Secondary Science) might suggest that the book isn’t for me.

Well, Boxer’s book (and the precision of his thinking) will absolutely make me a better English teacher; I suspect his approach will benefit almost any teacher.

Here’s why…

Surprise #2:

Longtime readers know my mantra: “don’t just do this thing; instead, think this way.”

That is: cognitive science research cannot provide us with a script (“do this thing”). Instead, that research CAN give us ways to think about memory and attention and motivation and stress. When we “think this way” about those topics, we’ll have better ideas about our teaching.

Well, Boxer’s book comes as close as any to effectively defying this mantra.

His book includes a GREAT MANY “do this thing” kind of instructions.

Phrase your question this way, not that way.

Present topics in this order, not that order.

Calculate cognitive load with this formula, not that formula.

You might think, given my mantra, I’d resist the specificity of his advice.

And yet, over and over, I found myself agreeing with his logic, and believing that I’ll do better classroom work if I understand and follow several of his scripts.

To my astonishment, I’m highly tempted to “do things Boxer’s way.” Why? Because he’s already done so much thinking for me.

Case in Point

I recently discussed Boxer’s book with a group of friends. All of us had highlighted this specific advice:

When introducing a concept, start with examples, not definitions.

Why?

Because definitions are necessarily abstract, and abstraction increases working memory load.

Examples, in contrast, live comfortably in the familiar, concrete world. This very  familiarity and concreteness reduce WM load, and thereby makes learning easier.

When my friends and I tried to apply this advice to our own teaching world, we immediately saw its usefulness.

The Spanish teacher said: don’t start with the abstract definition of the subjunctive; start with familiar examples in English.

The PD provider said: don’t start with abstract definitions of “declarative” and “procedural” memory; start with concrete classroom examples.

And so forth.

Two points merit notice here.

First: although Boxer writes about science instruction, his guidance applies widely across disciplines and age groups.

Second: although Boxer’s advice stems from (abstract) cognitive psychology, he frames it in (concrete) teaching suggestions.

That is: over and over, Boxer’s book practices what it preaches. His book does what he tells us teachers should do.

You perhaps have heard a conference speaker give passionate teaching advice (“never talk for more than ten minutes!”), only to defy this advice in his hour-long talk. Boxer carefully avoids such hypocricy.

The Big One

A few of my opinions in this interdisciplinary field approach heresy. Here’s one:

In my view, cognitive load theory helps experts talk with other experts about working memory load in the classroom.

Paradoxically, however, cognitive load theory almost certainly overwhelms the working memory of non-experts. It is, after all, complicated and jargony. (Quick: define “element interactivity” and “germane load.”)

For that reason, cognitive load theory probably isn’t useful as a framework for discussing working memory load with teachers. (Several people whom I admire are howling as they read these paragraphs.)

Boxer does not articulate this heretical claim directly. However, he enacts its conclusion quite directly.

That is: he translates the abstractions of cognitive load theory into a concrete formula — a proportionality formula using words anyone can understand.

Rather than reproduce the mathematical version of the formula here, I’ll summarize it this way:

Task complexity and abstraction increase working memory load.

The student’s background knowledge and the teacher’s support reduce working memory load.

Therefore, to optimize working memory load, we should look out for those four variables and manage them appropriately. (He’s got CHAPTERS on each of those topics.)

If you speak cognitive load theory, you see exactly how Boxer has translated its abstractions into this concrete formulation.

But — crucially — you don’t need to speak cognitive load theory to get its benefits.

Boxer, again, has taken his own advice. He has started with concrete examples rather than abstract definitions; he has thereby made it MUCH easier to learn from this book.

Always with the Limitations

Having raved for several hundred words, let me add a few quick notes of caution.

First: I don’t agree with absolutely everything Boxer writes. (I don’t agree with absolulety everything I write.) For instance: he emphatically champions mini white boards; I don’t think they’ll work in my context.

Second: Boxer’s examples draw on science teaching in high school in England. All three of those truths require some degree of translation as you apply his ideas to your work.

The English education system thrives of mysterious acronyms; you’ll just have to figure them out. When the SLT talks with the NQT about Supply, well, I can’t help you there.

Third: Full disclosure, I should point out that Boxer’s publisher is also my publisher — so I might have a conflict of interest in writing such an enthusiastic review. I certainly don’t think this connection has skewed my perspective, but you should have that information to make your own decisions.

These few points aside, I return to my initial hearty recommendation.

When you read and study Boxer’s Teaching Secondary Science, you’ll get specific and wise guidance for applying the abstractions of cognitive science to your classroom.

You’ll enjoy it, and your students will learn more.

Outsmart Your Brain by Daniel Willingham
Erik Jahner, PhD
Erik Jahner, PhD

Aligning with my work in this area, Daniel Willingham’s influential insights have greatly contributed to the field of neuroscience and education. His critique of learning styles and debunking of common learning myths and neuromyths have been pivotal. His critique of the premature application of neuroscience to the classroom advocates for translational relevance to teachers and ecological validity. Many of us in the field have been driven by his many talks, books, and insights.

Who of us has not invested extensive hours exploring new study methods and learning techniques, experimenting with trendy apps, organization routines, and innovative solutions to overcome our learning challenges. Often, we seek a quick fix or a supposed magic pills that line the self-help sections of bookstores. However, it’s easy to lose sight of the essence of learning amidst the pursuit of strategies, most of which are unsupported tradition. While this book doesn’t offer instant solutions, it effectively helps distinguish valuable approaches from ineffective ones. Its well-organized collection of learning hacks and tips assists in separating the wheat from the chaff. Daniel stresses that learning requires time and effort—inevitable aspects that can’t be bypassed. Nevertheless, Outsmart Your Brain: Why Learning is Hard and How You Can Make It Easy empowers readers to optimize their time and maximize their learning outcomes. As an educator and lifelong learner, I found this book brimming with invaluable insights to evaluate and enhance my own performance across educational domains.

The book’s origins reveal its essence. Daniel, a college instructor, witnessed his students struggling with learning difficulties. Over time, he honed his ability to identify their problems but lacked a clear solution. This prompted this cognitive scientist and ambitious educator to embark on a journey evaluating and verifying the real-life applicability of various memory and learning strategies derived from his cognition and memory research and investigating what made sense. The result of this ongoing exploration is the book at hand, which undoubtedly lives up to its promise.

This book serves as an indispensable and practical user manual for being a better student and teacher. Its value extends particularly to learning skills specialists, college students seeking lecture support, parents aiming to guide their children’s learning, or the college instructor that wants to do more than act as a sage on the stage simply reading off notes. The book’s well-structured chapters can be utilized as weekly lessons or applied individually.

Thematically organized, the book covers a wide array of essential topics to enhance learning and academic performance. It offers guidance on understanding lectures, effective note-taking strategies, making the most of labs, activities, and demonstrations, and techniques to enhance note organization for improved comprehension. Additionally, it provides valuable insights on tackling challenging readings, studying effectively for exams, assessing exam readiness, approaching different test formats.  Nurturing social-emotional skills in education Daniel also covers efficient work planning, overcoming procrastination through highly effective tips, maintaining focus, building self-confidence, and coping with anxiety.

The strategies presented in the book strike a balance between empirical research, realism, and accessibility. It acknowledges the “education in the wild,” delving into what students truly encounter and guiding them in the right direction. Dr. Willingham expertly supports these concepts with personal anecdotes from his own experiences as an educator, effectively illustrating how to make learning enjoyable and, consequently, more successful. Furthermore, the book is enriched with citations that bolster the suggested strategies and challenge traditional approaches that have been proven to be ineffective – ones we still prolifically teach and practice. I hope you notice, as i did that each chapter can be a friendly audit of our practices and beliefs about learning, urging us to evaluate how students and teachers foster successful learning and prompting tangible improvements. As I reflect on my own study years, I genuinely regret not having had access to this book. However, with my students, this book gives us some tools to be better learners together.