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Difference Maker: Enacting Systems Theory in Biology Teaching, by Christian Moore-Anderson
Guest Post
Guest Post

Today’s book review is by Beth Hawks.


Teaching Science is a Challenge

Science classes cover a massive amount of content knowledge, and it can feel overwhelming finding the best approach to teaching it without feeling like students are merely acquiring a set of disjointed facts.

In the introduction to his book, Difference Maker: Enacting Systems Theory in Biology Teaching, Christian Moore-Anderson sums up the challenge well, when he says, “I’m sure you’ve felt – at some point – that to grasp biology was to master an encyclopedia.”

For some time, he had taught in most of the typical ways, but he felt he was tied to creating resources and activities for students and that students still weren’t seeing the deeper connecting threads of biology.

Time for a Change

As with many things, the move to online teaching during the pandemic motivated him to make a change…because what he had been doing was no longer working.

This concern led him to the world of cybernetics and systems theory; and moved him from a sense of mass knowledge transfer to one of teaching biology from a set of unifying principles.

Book Cover for Difference Maker, by Christian Moore-Anderson

As he dug even more deeply, he found that he wasn’t just teaching about systems; he was enacting systems theory as a method of instruction.  He co-created diagrams with students and engaged them in dialogue to reveal their understanding.

By doing so, he created an interactive feedback loop that allowed him to respond flexibly to student needs.

Model Found in Cybernetics

The book begins with a few chapters of explanation of cybernetics. (Don’t let the terminology of “cybernetics” frighten you.  It is not necessary to have a deep understanding of all of these terms.)

After I set aside my mental images from Star Trek of Dr. Noonien Soong creating Data’s positronic brain (my first exposure to the word cybernetics), I was able to see his blending of two aspects of the discipline.

Conversation theory posits that – since meaning is made in the mind of the listener rather than being transmitted by the speaker – we can have a shared understanding of meaning only through dialogue. The teacher explains, but then he discovers what the student heard through conversation.

Moore-Anderson describes doing this through multiple choice questions or open-ended questions; he also acknowledges that it can be done with other methods (e.g. mini-whiteboards, written answers on paper).

The law of requisite variety – When a system is complex, it can only survive if its ability to adapt is equally complex. In other words, there must be a variety of responses to a variety of changes. If a teacher has only a small set of responses when something happens in her classroom, she won’t be able to adapt to the needs of students during a lesson.

He combines these theories into a model of instruction he calls “the recursive teaching model.”

The teacher explains, while the student interprets. Then the student explains what they understand while the teacher interprets. This cycle keeps looping back on itself until they agree on their understanding.

Moore-Anderson provides guidance by opening each section with a key idea and walking through the process of implementation in the classroom. He includes the conversations he has with his students as well as the diagrams he creates with them during those conversations.

Have Students Notice Differences by Predicting Outcomes

After setting up his foundational theory, Moore-Anderson gets to the heart of his new practice: having students perceive distinctions in the concept being taught.

He defines distinctions as “differences that make a difference to the observer.”

As teachers, we often begin with sameness – giving multiple examples of a new concept to solidify students’ recognition of the standard. This strategy, however, shows only the idea itself and not its interaction with a conceptual whole.

Having students repeat similarities in their own words might not give them a full grasp of the influence they have on the biological system overall.

Moore-Anderson argues that we should begin with variations of the concepts so that students can see what difference a change would make.  He prompts students to notice these differences (and the difference they make) by posing “what if” questions.

  • What if someone drinks sea water rather than fresh water?
  • What if the predator in this ecosystem suddenly disappears?
  • What if this heart valve were missing?
  • What if the sugar concentration was increased in this solution?

When students first predict the outcome of a change, and then add those changes to diagrams they create together, they arrive at a shared understanding of each concept. This approach lets them understand in a deeper way than simply explaining how something works and having students paraphrase that explanation.

Moore-Anderson restricts the responses to keep things from getting out of hand by giving choices like, “Will a change in X make Y increase, decrease, or stay the same?” and having students defend their answers.

Practical Examples Inspire Teachers

The true strength of this book for me as a classroom teacher comes from his descriptions of using this method in his lessons.

When Moore-Anderson moves from summaries of cybernetic theories into examples of actual classroom conversations with students, he allows me to imagine implementing his method with my own students.

As a teacher, my favorite education books are those that inspire ideas outside of those mentioned in the writing, and Moore-Anderson does exactly that throughout each chapter.  As I read his stories, I was able to picture myself having similar conversations with my students and thought of other topics to which I could apply his method.

Difference Maker gives me a way to think about content delivery rather than prescribing an exact method for me to copy.

Is It for Everybody?

The Difference Maker method might not be equally appropriate in all settings.

I imagined my middle schoolers might find this approach frustrating because they lack the foundational knowledge to make reasonable predictions. On the other hand, I thought my juniors and seniors would thrive with these sorts of classroom conversations.

I trust Moore-Anderson when he says he applies the method in class with eleven year old students, but I’m not sure I would. As with all techniques, success relies on adapting them to your context.

As the title makes clear, this book is intended for biology teachers. Since all biological processes have noticeable cause and effect relationships within systems, that makes sense.

I had a bit harder time recognizing topics in which I might apply it to chemistry and physics.  So, I will definitely recommend this book to my biology teacher friend and suggest that he loan it to the environmental science teacher across the hall.

As a chemistry and physics teacher, I might want to have it in the back of my mind as I planned some lessons, because it would provide a way of thinking about how to explain cause and effect. However, I wouldn’t make it a regular practice as Moore-Anderson does with biology.  (Did I mention earlier that it is good to adapt to context?)

Can I Be in This Class?

My biggest takeaway from reading Difference Maker is that I would have loved to be in this biology class when I was a student. I would have absorbed more, seen deeper threads, and remembered more.  I would have walked away with a better understanding of myself and my relationship with my environment.


Beth Hawks taught middle and high school science for 25 years, serving as the science department chair at GRACE Christian School in Raleigh, North Carolina for 17 years. A graduate of Oral Roberts University, Beth has taught 8th grade Physical Science, Physics, Chemistry, Algebra IB, Health, Photography, and Yearbook. She frequently provided professional development to colleagues in her role as resident brain enthusiast and has now moved into consulting full time under the name The Learning Hawk.

You can hear Beth speak at our Science of Learning conference in NYC in April.

“AHA!”: A Working Memory Story…
Andrew Watson
Andrew Watson

Teachers, students, people: we spend lots of our time figuring stuff out.

Sometimes, we do that figuring out by sorting through options, considering similar situations in the past, trying out logical possibilities, and so forth.

And other times, the figuring out just happens: “AHA!”

If we’re going to think about these different mental experiences in a scientific way, we need technical terminology; so, let’s go ahead and call that first process “analysis” and the second one “insight.”

Analysis (I’m paraphrasing from this study here)

  • involves searching long-term memory for potential algorithms, schemas, or factual knowledge,
  • feels effortful, and
  • happens consciously;

Insight, on the other hand,

  • happens more-or-less automatically,
  • feels effortless, and
  • happens unconsciously.

The two questions I’ll explore below are:

  1.  how does working memory load influence the Aha! experience? and
  2.  how does the answer to that question shape the way we plan teaching?

Brace yourself for a radical answer to question #2.

AHA + Working Memory

Obviously, analysis loads working memory. All that comparing options and combing through long-term memory takes up scarce working memory resources.

A drawing of a small bird being freed from a cage -- against a brigth orange and yellow background.

But what about insight? Do those Aha! moments require working memory?

To answer this question, a group of Dutch researchers asked 100+ college students to solve fun mental puzzles.

Here’s the game:

I’m going to list 3 words, and you’re going to tell me another word that “goes with” all three.

So, if I say “artist, hatch, route,” you might come up with the word “______.”

Perhaps you came up with a solution by working your way through various familiar phrases: “con artist? makeup artist?” That would be an analysis solution.

Or perhaps the answer — “escape” — just came to you without any deliberate thought process. That would be an insight solution.

These problems have a splendidly cumbersome name: “compound remote association tests.” Happily, they allow for a handy acronym: CRA.

In their study, the Dutch researchers had students solve CRA problems.

One group of students had no additional working memory load.

A second group had a small WM load; they had to remember a two-digit string while solving problems.

A third group had a larger WM load; they had to remember a 4 digit string.

So, here’s the research question: did the WM load have an effect on analysis solutions or insight solutions as students undertook CRA tests?

Answers, Plus

“Yes, and no.”

In other words:

“Yes”: as WM load increased, the number of correct analysis solutions decreased.

“No”: as WM load increased, the number of correct insight solutions stayed the same.

Now, the first half of that answer was easy to predict. When researchers increased the WM load, the students’ WM “headroom” decreased. Because analysis requires WM capacity, students’ reduced headroom made CRA solutions harder.

The second half of that answer is really interesting.

Students were equally good at insight solutions no matter the WM load. The logical implication: insight solutions do not require WM. (At least, not in a way that is detected in this research paradigm.)

Now that we know the answer to that question, what do we teachers do with that information? How does it help us plan our teaching?

Thinking Aloud

I should say at this moment that I’m switching from research to speculation. That is: the blog post up to know has been a summary of a research study. I’m now leaving that study to consider what we might do with this information.

First off, I suspect that a very large percentage of the school work students do requires analysis, not insight (as defined in this study).

That is: my students have to think their way through grammar solutions. They have to ponder the meaning of that symbol — or that sentence — right there.

They rarely say: “it just came to me — that’s a participle!”

If I’m right that MOST school work relies on analysis, then MOST of the time we teachers must focus on working memory load.

If we place too much stress on working memory, we will hamper our students’ ability to accomplish those analytical tasks.

But…drum roll please…I can imagine niche-y circumstances where we WANT students to prefer insight to analysis. In those circumstances, I hope my students say, “Aha!” rather than “let me think about that.”

For instance: improv theater.

When actors try improv, we want them to “get out of their heads” and let instincts take over. (For the record: I’m bad at improv my self, but I founded and coached an improv troupe at the high school where I taught.)

This thought process leads to an even more surprising idea…

There’s a First Time for Everything

I spend much of my professional life explaining working memory to teachers and coaching them to avoid working memory overload. After all: “no academic information gets into long-term memory except through working memory.”

If, however, WM load hampers analysis, it might thereby indirectly promote insight.

Perhaps then I should deliberately ramp up WM load during improv rehearsals. This approach would make analytical solutions less likely, and in that way make insight solutions more likely.

This improv-coaching idea leads to other, equally radical possibilities. Are there other times during a students’ academic career where we prefer insight to analysis? Should we, during those lesson plans, keep working memory demands unusually high?

I can hardly believe that I’m seriously talking about deliberately stressing working memory. My professional identity is wobbling.

TL;DR

A recent study by Dutch researchers suggests that analytical problem-solving requires WM, but insight problem solving doesn’t.

This finding has prompted me to wonder if we should — in rare circumstances — increase WM load to make students’ insight solutions likelier.

That possibility is entirely new to me — but quite fun to ponder. I hope that my WM friends — and my improv friends — will join the conversation.

 


Stuyck, H., Cleeremans, A., & Van den Bussche, E. (2022). Aha! under pressure: The Aha! experience is not constrained by cognitive load. Cognition219, 104946.

Nerd Alert: Focusing on Definitions
Andrew Watson
Andrew Watson

You come to Learning and the Brain conferences — and to this blog — because you want research-based insight into teaching and learning.

We sincerely hope that you get lots of those insights, and feel inspired by them.

At the same time, all sorts of work has to go on behind the scenes to make sure such advice has merit. Much of that work seems tedious, but all of it is important.

For instance: definitions.

When researchers explore a particular topic — say, “learning” — they have to measure something — say, “how much someone learned.”

To undertake that measurement, they rely on a definition of the thing to be measured — for example: “getting correct answers on a subsequent test = learning.”

A close-up photograh of a dictionary lying open.

Of course, skeptics might reject that definition: “tests don’t reveal learning. Only real world application reveals learning.”

Because these skeptics have a different definition, they need to measure in a different way. And, of course, they might come to a different conclusion about the value of the teaching practice being measured.

In other words:

If I define learning as “getting answers right on a test,” I might conclude that the Great Watson Teaching Method works.

If you define learning as “using new concepts spontaneously in the real world,” you might conclude that the Great Watson Teaching method is a bust.

The DEFINITION tells researchers what to MEASURE; it thereby guides our ultimate CONCLUSIONS.

A Case in Point

I recently read an article, by Hambrick, Macnamara, and Oswald, about deliberate practice.

Now, if you’ve spent time at a Learning and the Brain conference in the last decade, you’ve heard researcher K. Anders Ericsson and others present on this topic. It means, basically, “practicing with the specific intention of getting better.”

According to Ericsson and others, deliberate practice is THE key to developing expertise in almost any field: sports, music, chess, academics, professional life.

Notice, however, that I included the slippery word ‘basically’ in my definition two sentences ago. I wrote: “it means, basically, ‘practicing with the specific intention of getting better.’ ”

That “basically” means I’m giving a rough definition, not precise one.

But, for the reasons explained above, we shouldn’t use research to give advice without precise definitions.

As Hambrick, Macnamara, and Oswald detail, deliberate practice has a frustratingly flexible definition. For instance:

  • Can students create their own deliberate practice regimens? Or do they need professionals/teachers to create them and give feedback?
  • Does group/team practice count, or must deliberate practice be individual?

As the authors detail, the answers to those questions change over time.

Even more alarmingly, they seem to change depending on the context. In some cases, Ericsson and his research partners hold up studies as examples of deliberate practice, but say that Hambrick’s team should not include them in meta-analyses evaluating the effectiveness of deliberate practice.

(The back-n-forth here gets very technical.)

Although the specifics of this debate quickly turn mind-numbing, the debate itself points to a troubling conclusion: because we can’t define deliberate practice with much confidence, we should hesitate to make strong research claims about the benefits of deliberate practice.

Because — again — research depends on precise definitions.

Curiouser and Curiouser

The argument above reminded me of another study that I read several years ago. Because that study uses lots of niche-y technical language, I’m going to simplify it a fair bit. But its headlines were clear:

Project-based learning helps students learn; direct instruction does not.

Because the “constructivist” vs. “direct instruction” debate rages so passionately, I was intrigued to find a study making such a strong claim.

One of my first questions will sound familiar: “how, precisely, did the researchers define ‘project-based learning’ and ‘direct instruction.’ ”

This study started with these definitions:

Direct instruction: “lecturing with passive listening.”

Constructivism: “problem-solving opportunities … that provide meaning. Students learn by collaboratively solving authentic, real-life problems, developing explanations and communicating ideas.”

To confirm their hypothesis, the reseachers had one group of biology students (the “constructivism” group) do an experiment where they soaked chicken bones in vinegar to see how flexible the bones became.

The “direct instruction” students copied the names of 206 bones from the chalkboard into their notebooks.

After even this brief description, you might have some strong reactions to this study.

First: OF COURSE students don’t learn much from copying the names of 206 bones. Who seriously thinks that they do? No cognitive scientist I’ve ever met.

Second: no one — and I mean NO ONE — who champions direct instruction would accept the definition as “lecturing with passive listening.”

In other words: we might be excited (or alarmed) to discover research championing PBL over direct instruction. But we shouldn’t use this reseach to make decisions about that choice because it relies on obviously inaccurate definitions.

(If you’re interested in this example — or this study — I’ve written about it extensively in my book, The Goldilocks Map.)

In Brief:

It might seem nerdy to focus so stubbornly on research definitions. If we’re serious about following research-informed guidance for our teaching, we really must.


Hambrick, D. Z., Macnamara, B. N., & Oswald, F. L. (2020). Is the deliberate practice view defensible? A review of evidence and discussion of issues. Frontiers in Psychology11, 1134.

Finding a Framework for Trauma
Andrew Watson
Andrew Watson

Although education itself encourages detailed and nuanced understandings of complex ideas, the field of education often rushes to extremes.

According to the loudest voices:

  • Artificial intelligence will either transform education for the better, or make us all dumber.
  • Memorization is either an essential foundation for all learning, or “drill and kill.”
  • A growth mindset will either motivate students to new successes, or delude teachers into this out-dated fad (“yet” schmet).

And so forth.

This tendency to extremes seems especially powerful at the intersection of education and trauma.

Depending on your source and your decade, trauma is

  • Either a problem so rare that it doesn’t merit discussion, or
  • a problem so pervasive and debilitating that we need to redesign education.

How can we find a steady, helpful, realistic path without rushing to extremes?

A Useful Start

If we’re going to think about trauma, we should start with a definition of it.

A thousand-word blog post can’t get into the subtleties, but here’s a useful starting place:

“Trauma is a response to an event or series of events that overwhelms an individual’s capacity to cope.”

In that sentence, “overwhelmed” means a serious and ongoing response — not short-term unhappiness (even if intense).

Symptoms of being “overwhelmed” might include dissociation, flashbacks, night terrors, drug addiction, or major depression.

Note: unlike trauma, stress puts pressure on — but does not inherently overwhelm — coping capacity.

Thoughtful people might not agree with the sentences above, but I think most people will agree that they’re an honest attempt to describe a complex mental state.

The First Pendulum

Discussions of trauma — especially the extreme versions — begin with its sources.

When I started teaching, in the 1980s, our school — quite literally — NEVER discussed trauma. (To be fair, I should say: “I don’t remember ever discussing trauma.”)

A closeup of a man sitting with his forearms resting on his legs; his hands are tensely knotted.

The implied message: “trauma probably happens somewhere to some people. But it’s so rare, and so unlikely to be a part of our students’ lives, we’re not going to use precious faculty time to focus on it.”

In brief: “the causes of trauma aren’t relevant to teachers.”

Since those days, our profession has rightly recognized that trauma DOES happen. It does happen to our students and in their families and communities. The causes of trauma are absolutely relevant to teachers.

And yet, because our profession tends to extremes, I now hear the flipside of that earlier casual dismissal. Instead of being rare and almost irrelevant, trauma is common and pervasive.

One sign of this trend: a lengthening list of common occurances that cause trauma. Perfectly typical stressors — being cut from a sports team, getting a bad grade — are reframed as traumatic.

I’ve even seen the claim that “things that we don’t get to experience can be traumatic.” While missed chances can be disappointing, even stressful, it’s just hard to see how they fit the definition of trauma.

The list of symptoms has also grown. E.g.: “procrastination is a sign of trauma.”

Now, I don’t doubt that some people who have experienced trauma procrastinate; I also don’t doubt that almost everyone procrastinates. Traumatized people might procrastinate, but not all people who procrastinate have experienced trauma.

To avoid being caught up in this race to the extremes, I think it helps to keep the definition in mind: a response to an event or series of events that overwhelms an individual’s capacity to cope.

Such events do happen to our students — but not frequently, and not to all of them.

The Second Pendulum

While we negotiate this first pendulum (“trauma doesn’t happen/is universal”), we also watch a second one swing back and forth.

Old school: “least said, soonest mended. On those infrequent occasions when trauma really happens, we should all just keep going and not make a big deal about it.”

Pendulum swing: “a traumatized student is literally incapable of paying attention or learning. Schooling as we know it should come to a halt.”

This second statement is usually accompanied by neuroscience terminology, starting with “amygdala.”

I was reminded of this pendulum swing at the most recent Learning and the Brain conference in Boston — specifically in a keynote address by George A. Bonanno.

Dr. Bonanno has been studying trauma for decades; in his talk, he focused on the symptoms that follow trauma.

He and his team have been running studies and aggregating data, and he showed graphs representing conclusions based on more than 60 trajectory analyses.

To present his complex findings as simply as possible:

  • Roughly 10% of people who experience trauma have enduring symptoms;
  • Less than 10% start without symptoms, but symptoms develop over time and persist;
  • Roughly 20% initially experience symptoms, but recover over two years;
  • The rest never repond with serious symptoms.

In other words: in Bonanno’s research, two years after trauma, roughly 80% of people do not experience troubling symptoms.

For this reason, by the way, Bonanno does not speak of “traumatic events” but of “potentially traumatic events.”

That is: an event has the potential to create trauma symptoms in a person. But something like two-thirds of people do not experience trauma in response to that potentially traumatic event. (And another 10% recover from those symptoms in a year or two.)

Towards a Balanced Framework

How then should teachers think about trauma in schools.

First: we can avoid the extremes.

Yes, trauma does happen.

No, it isn’t common. (Bad grades aren’t traumatic.)

Yes, schools and teachers should respond appropriately to the trauma that students experience.

No, not everyone responds to trauma the same way. Most people react to potentially traumatic events without trauma symptoms (or recover over time).

Second: within this nuanced perspective, we should acknowledge the importance of responding to trauma appropriately.

That is: events that potentially create trauma might be rare; most people might not respond to them with trauma symptoms.

And: our students who do experience trauma symtoms deserve informed and sympathetic response.

By way of analogy: something like 3% of K-12 students are on the autism spectrum. That’s a relatively small number. And: those students deserve the best education we can provide.

If 3% of our students experience trauma symptoms (I have no idea what the actual percentage is), they too deserve our professional best.

Attempting a Summary

In our profession, we have all too frequently overlooked and downplayed the trauma that some of our students experience. As we try to correct that serious error, we should not commit another error by seeing trauma everywhere, and by assuming it debilitates everyone.


 

A Final Note:

To keep this post a readable length, I have not discussed ACES scores. Depending on the response this post gets, I may return to that topic in a future post.

How to Reduce Mind-Wandering During Class
Andrew Watson
Andrew Watson

I recently wrote a series of posts about research into asking questions. As noted in the first part of that series, we have lots of research that points to a surprising conclusion.

Let’s say I begin class by asking students questions about the material they’re about to learn. More specifically: because the students haven’t learned this material yet, they almost certainly get the answers wrong.

A college age student smiling and raising her hand to ask a question.

Even more specifically — and more strangely — I’m actually trying to ask them questions that they won’t answer correctly.

In most circumstances, this way of starting class would sound…well…mean. Why start class by making students feel foolish?

Here’s why: we’ve got a good chunk of research showing that these questions — questions that students will almost certainly get wrong — ultimately help them learn the correct answers during class.

(To distinguish this particular category of introductory-questions-that-students-will-get-wrong, I’m going to call them “prequestions.”)

Now, from one perspective, it doesn’t really matter why prequestions help. If asking prequestions promotes learning, we should probably ask them!

From another perspective, we’d really like to know why these questions benefit students.

Here’s one possibility: maybe they help students focus. That is: if students realize that they don’t know the answer to a question, they’ll be alert to the relevant upcoming information.

Let’s check it out!

Strike That, Reverse That, Thank You

I started by exploring prequestions; but we could think about the research I’m about to describe from the perspective of mind-wandering.

If you’ve ever taught, and ESPECIALLY if you’ve ever taught online, you know that students’ thoughts often drift away from the teacher’s topic to…well…cat memes, or a recent sports upset, or some romantic turmoil.

For obvious reasons, we teachers would LOVE to be able to reduce mind-wandering. (Check out this blog post for one approach.)

Here’s one idea: perhaps prequestions could reduce mind-wandering. That is: students might have their curiosity piqued — or their sense of duty highlighted — if they see how much stuff they don’t know.

Worth investigating, no?

Questions Answered

A research team — including some real heavy hitters! — explored these questions in a recent study.

Across two experiments, they had students watch a 26-minute video on a psychology topic (“signal detection theory”).

  • Some students answered “prequestions” at the beginning of the video.
  • Others answered those questions sprinkled throughout the video.
  • And some (the control group) solved unrelated algebra problems.

Once the researchers crunched all the numbers, they arrived at some helpful findings.

First: yes, prequestions reduced mind-wandering. More precisely, students who answered prequestions reported that they had given more of their attention to the video than those who solved the algebra problems.

Second: yes, prequestions promoted learning. Students who answered prequestions were likelier to get the answer correct on a final test after the lecture than those who didn’t.

Important note: this benefit applied ONLY to the questions that students had seen before. The researchers also asked students new questions — ones that hadn’t appeared as prequestions. The prequestion group didn’t score any higher on those new questions than the control group did.

Third: no, the timing of the questions didn’t matter. Students benefitted from prequestions asked at the beginning as much as those sprinkled throughout.

From Lab to Classroom

So, what should teachers DO with this information.

I think the conclusions are mostly straightforward.

A: The evidence pool supporting prequestions is growing. We should use them strategically.

B: This study highlights their benefts to reduce mind-wandering, especially for online classes or videos.

C: We don’t need to worry about the timing. If we want to ask all prequestions up front or jumble them throughout the class, either strategy (according to this study) gets the job done.

D: If you’re interested in specific suggestions on using and understanding prequestions, check out this blog post.

A Final Note

Research is, of course, a highly technical business. For that reason, most psychology studies make for turgid reading.

While this one certainly has its share of jargon heavy, data-laden sentences, its explanatory sections are unusually easy to read.

If you’d like to get a sense of how researchers think, check it out!


Pan, S. C., Sana, F., Schmitt, A. G., & Bjork, E. L. (2020). Pretesting reduces mind wandering and enhances learning during online lectures. Journal of Applied Research in Memory and Cognition9(4), 542-554.

Executive Functions “Debunked”?
Andrew Watson
Andrew Watson

As long as I’ve been in this field – heck, as long as I’ve been a teacher – the concept of executive function has floated around as a core way to discuss students’ academic development.

Although the concept has a technical definition – in fact, more than one — it tends to be presented as a list of cognitive moves: “prioritizing, switching, planning, evaluating, focusing, deliberately ignoring…”

A head made up of multiple colored puzzle pieces. The head is open at the top and back

I myself have tended to think of executive functions this way: all the cognitive skills that don’t include academic content, but matter in every discipline. So, if I’m trying to execute a lab in science class, I need to …

… focus on this thing, not that thing,

… decide where to begin,

… decide when to switch to the next step,

…realize that I’ve made a mistake,

…evaluate options to fix my mistake,

And so forth.

Crucially, that list applies to almost any academic task: writing an essay, or evaluating the reliability of a historical source, or composing a sentence in Spanish using a new verb tense…

So: these executive functions help students in school – no matter the class that they are in.

To say all this in another ways: EFs resist easy definition but are mightily important in schools and classrooms. (Truthfully they’re important in life, but that broader range lies outside of this blog’s focus.)

Today’s News

I recently saw an enthusiastic response to a newly-published study that explores,  reconceptualizes — and debunks? —  EFs. Because EFs “are mightily important,” such reconceptualization & debunkage merits our thoughtful attention.

Here’s the story.

A research team led by Andreas Demetriou wanted to see if they could translate that long list (“prioritizing, switching, evaluating,” etc.) into a core set of mental processes.

So: a carbon atom might look different from an iron atom, but both are different ways of putting protons, neutrons, and electrons together. Likewise, “prioritizing” and “switching” might seem like two different processes, but they could instead be different arrangements of the same mental elements.

Demetriou’s team focuses on two core mental processes – their “protons and electrons.” Roughly, those mental processes are:

  • Forming and holding a mental model of the goal, and
  • Mapping that mental model onto the situation or problem.

For complicated reasons, Team D combines these two processes with a label: the AACog mechanism. They then run a lengthy series of studies using a GREAT variety of different tests (Stroop this, Raven’s that) across a wide range of ages.

When they run all the calculations, sure enough: the AACog mechanism underlies all those other EFs we’ve been taught about over the years.

As they write: “AACog is the common core running through all executive functions.” (That’s an extraordinary claim, no?)

And, development of the AACog mechanisms explains all sorts of increasing mental capacities: symbolic exploration, drawing inferences, using deductive reasoning, and so forth. (The concentric circles representing this argument challenge all of my AACog mechanisms!)

In other words, this model explains an ENORMOUS amount of human cognitive processing by focusing on two elements.

What It All Means

I wrote above that this study received an “enthusiastic response” when it came out.

In my twitter feed at least, it was packaged with basically this message:

“All those people who were nattering on about EF were having you on. Look: we can boil it down to basically one thing. No need to make it so complicated!”

I can understand why Twitter responded this way: the title of the Demetriou et al. study is: “Executive function: Debunking an overprized construct.” No wonder readers think that the idea of EFs has been debunked!

At the same time, I’m not so sure. I have three reasons to hesitate:

First:

Quoth Dan Willingham: “One study is just one study, folks.” Until MANY more people test out this idea is MANY more ways, we shouldn’t suddenly stop thinking one thing (“EFs exist!”) and start thinking another (“EFs are the AACog mechanism in disguise!”).

We need more research — LOTS — before we get all debunky.

Second:

Let’s assume for a moment that the AACog mechanism hypothesis is true. What effect will that have on discussions in schools?

Honestly, I doubt very much.

The “AACog mechanism” is itself so abstract — as are the “modeling” and “mapping” functions that go into it — that I doubt they’ll usefully replace “exective functions” in daily conversations.

Imagine that a learning specialist says to me: “This student has a diagnosed problem with her AACog mechanism.”

I’ll probably respond: “I don’t understand. What does that mean?”

The learning specialist will almost certainly respond: “Well, she has difficulty with prioritizing, task switching, initiating, and so forth.”

We’re back to EF language in seconds.

Third:

I’m not sure I buy the argument that the “AACog mechanism” DEBUNKS “executive function.”

Imagine this logical flow:

  • Carbon and iron are made up of the same sub-elements: protons, neutrons, and electrons.
  • Therefore, carbon and iron don’t really exist.
  • Voila: we’ve debunked the idea of carbon and iron.

Well, that logic just doesn’t hold up. Carbon and iron DO exist, even as meaningfully different arrangements of sub-particles.

So too:

  • EFs all boil down to the AACog mechanism, which is itself just “mental modelling” and “mapping of models onto reality.”
  • Therefore, EFs don’t really exist.
  • Misson Debunk Accomplished!

I just don’t track that logic.

We understand human cognitive complexity better, but the complexity hasn’t gone away. (We understand carbon and iron better now that we know about protons and neutrons, but the periodic table is still complicated.)

This model helps us think differently about mental functions across academic disciplines. Those new thought patterns might indeed be helpful — especially to people who create conceptual diagrams of cognition.

But I don’t think it will radically change the way teachers think and talk about our students.

TL;DR

A group of thoughtful scholars have put together a new model of cognition explaining executive functions (and a whole lot more).

What does this mean for us?

  1. In ten or fifteen years, EF experts might be talking to us differently about understanding and promoting these cognitive moves.
  2. In the meantime, don’t let oversimplications on the interwebs distract you. Yes: “executive function” is a mushy and complicated category — and yes, people do go too far with this label. But something like EFs exist, and we do need to understand their complexity.

Demetriou, A., Kazali, E., Spanoudis, G., Makris, N., & Kazi, S. (2024). Executive function: Debunking an overprized construct. Developmental Review74, 101168.

Early Thoughts on A.I. Research in Schools
Andrew Watson
Andrew Watson

I hope that one of my strengths as a blogger is: I know what I don’t know — and I don’t write about those topics.

While I DO know a lot about cognitive science — working memory, self-determination theory, retrieval practice — I DON’T know a lot about technology. And: I’m only a few miles into my own A.I. journey; no doubt there will be thousands of miles to go. (My first foray along the ChatGPT path, back in February of this year, did not go well…)

A young child types on a laptop; a small robot points out answers on a see-through screen that hovers between them

Recently I came across research that looks at A.I.’s potential benefits for studying. Because I know studying research quite well, I feel confident enough to describe this particular experiment and consider its implications for our work.

But before I describe that study…

Guiding Principles

Although I’m not a student of A.I., I AM a student of thinking. Few cognitive principles have proven more enduring than Dan Willingham’s immortal sentence: “memory is the residue of thought.”

In other words, if teachers want students to remember something, we must ensure that they think about it.

More specifically:

  • they should think about it successfully (so we don’t want to overload working memory)
  • they should think about it many times (so spacing and interleaving will be important cognitive principles
  • they should think hard about it (so desirable difficulty is a thing)

And so forth.

This core principle — “memory is the residue of thought” — prompts an obvious concern about A.I. in education.

In theory, A.I. simplifies complex tasks. In other words, it reduces the amount of time I think about that complexity.

If artificial intelligence reduces the amount of time I that I’m required to think about doing the thing, it necessarily reduces the amount of learning I’ll do about the thing.

If “memory is the residue of thought,” then less thinking means less memory, and less learning…

Who Did What?

Although discussions of generative A.I. often sound impenetrable to me, this study followed a clear and sensible design.

Researchers from the University of Pennslyvania worked with almost 1000 students at a high school in Turkey. (In this kind of research, 1000 is an unusually high number.)

These students spent time REVIEWING math concepts they had already learned. This review happened in three phases:

Phase 1: the teacher re-explained math concepts.

Phase 2: the students practiced independently.

Phase 3: the students took a test on those math concepts. (No book; no notes; nada.)

For all students, phases 1 and 3 were identical. Phase 2, however, gave researchers a chance to explore their question.

Some students (let’s call them Group A) practiced in the usual way: the textbook, their notes, paper and pencil.

Group B, on the other hand, practiced with ChatGPT at hand. They could ask it questions to assist with their review.

Group C practiced with a specially designed ChatGPT tutor. This tutor was programed not to give answers to students’ questions, but to provide hints. (There were other differences between the ChatGPT and the ChatGPT tutor, but this difference strikes me as most pertinent.)

So: did ChatGPT help?

Did the students in Groups B and C have greater success on the practice problems, compared to Group A?

Did they do better on the test?

Intriguing Results

The students who used A.I. did better on the practice problems.

Those who used ChatGPT scored 48% higher than their peers in Group A.

Those who used the ChatGPT tutor scored (are you sitting down?) 127% higher than their peers in Group A.

Numbers like these really get our attention!

And yet…we’re more interested in knowing how they did on the test; that is, how well did they do when they couldn’t look at their books, or ask Chatty questions.

In brief: had they LEARNED the math concepts?

The students who used regular ChatGPT scored 17% lower than their notes-n-textbook peers.

Those who used the ChatGPT tutor scored the same as those peers.

In brief:

A.I. helped students succeed during practice.

But, because it reduced the amount of time they had to THINK about the problems, it didn’t help them learn.

Case closed.

Case Closed?

In education, we all too easily rush to extremes. In this case, we might easily summarize this study in two sentences:

“A.I. certainly didn’t help students learn; in some cases it harmed their learning. Banish A.I.!”

While I understand that summary, I don’t think it captures the full message that this study gives us.

Yes: if we let students ask ChatGPT questions, they think less and therefore learn less. (Why do they think less? Probably they simply ask for the answer to the question.)

But: if we design a tutor that offers hints not answers, we reduce that problem … and eliminate the difference in learning. (Yes: the reseachers have data showing that the students spent more time asking the tutor questions; presumably they had to think harder while doing so.)

As a non-expert in this field, I suspect that — sooner or later — wise people somewhere will be able to design A.I. tutors that are better at asking thought-provoking hints. That is: perhaps an A.I. tutor might cause students to think even MORE than other students praticing the old-fashioned way.

That two sentence summary above might hold true today. But we’ve learned this year that A.I. evolves VERY rapidly. Who knows what next month will bring.

TL;DR

Although THIS study suggests that A.I. doesn’t help (and might harm) learning, it also suggests that more beneficial A.I. tutors might exist in the future.

If — and this is the ESSENTIAL “if” — if A.I. can prompt students to THINK MORE than they currently do while practicing, then well-established cog-sci principles suggest that our students will learn more.


* A note about the publication status of this study. It has not yet been peer reviewed and published, although it is “under review” at a well-known journal. So, it’s technically a “working paper.” If you want to get your research geek on, you can check out the link above.


Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, O., & Mariman, R. (2024). Generative ai can harm learning. Available at SSRN4895486.

Teachers’ Professionalism: Are We Pilots or Architects?
Andrew Watson
Andrew Watson

I recently attended a (non-Learning-and-the-Brain) conference, and saw a thoughtful presentation that included a discussion of teachers’ professional standing.

In this blog post, I want to …

  1. summarize this speaker’s thoughtful argument,
  2. explain my own reasons for doubting it, and
  3. consider some weaknesses in my own argument.

Teachers as Pilots

The speaker started by summarizing a common claim about teachers’ professional independence:

“Because teachers are highly-trained professionals, we should have the same freedom for independent action and creativity that other professionals enjoy. Rather than scripting and constraining teachers, schools should allow them the leeway to think, act, and teach with meaningful independence.”

I should be clear, by the way, that this speaker’s summary is NOT a straw man. I know that people make (roughly) this argument because a) I’ve heard other people make it, and b) I’m going to make a similar argument in just a few paragraphs.

To interrogate this pro-independence argument, the speaker asks us to think about other highly esteemed professionals: doctors, airline pilots, and engineers.

In every case, these professionals work in highly constrained conditions. In fact, we would be rightly shocked were they to want to escape those constraints. Imagine:

  • If a pilot were to say: “today I think it would be fun to go through this pre-flight check list in reverse order. And, heck, I think I’ll skip step #27; I’ve never understood what it was for!”
  • If an ER doctor were to say: “I understand that you’re experiencing chest pains, and the protocols suggest several tests. But honestly: you look healthy to me. And, I’m feeling lucky today. So let’s assume it’s a touch of nerves and get you some nice chamomile tea.”

We would be horrified!

Pilots and doctors work within well-established constraints, and have a strict ethical obligation to follow them.

For this reason, society rightly condemns instances where these professionals go outside those constraints.

A woman seated in a small airplane cockpit with her hands on the yoke

Another example: when engineers get sloppy and bridges fall down mid-construction, we feel both horror and surprise to learn that they didn’t follow professional codes that govern their work.

These examples — the speaker said — show that teachers’ demands for professional freedom are misplaced.

Tight constraints do not violate our professional standing; they embody our professional standing.

Pushing Back: Reason #1

Although I understand these arguments as far as they go, I disagree with the speaker’s conclusion. Let me see if I can persuade you.

I think that doctors, pilots, and engineers are not good analogues for teachers, because the systems on which doctors, pilots, and engineers operate are unified, coherent, and designed to function as a whole.

Here’s what I mean:

  • An airplane’s ailerons and flaps have been scrupulously designed to act upon the wings in a specific way. So too the engines and the rudders. And, frankly, almost everything else about the airplane.

Because airplane parts have been structured to function together, we can have specific, precise, and absolute rules the operation of planes. When the flaps do this, the airflow over the wing changes in entirely predictable ways. The plane will, in these circumstances, always turn, or ascend, or land, or whatever.

Yes, special circumstances exist: turbulence, wind shear, or thunderstorms. But even these special circumstances call for predictable and consistent responses: responses that can be trained, and should be executed precisely.

  • A bridge has been designed to balance the forces that act upon it and the materials used to build it. Steel does not wake up one day and decide to have the strength of aluminum. Gravity does not vary unpredictably from day to day or mood to mood.

Because bridges have been structured to function in a particular way, engineers can have specific, precise, and absolute rules about their construction. Engineers don’t insist on moment-by-moment freedom because the bridges they build have entirely predictable constraints.

If, however, you have worked in a classroom, you know that such absolute predictability – based on the unity of the system being operated – has almost nothing to do with a teacher’s daily function.

  • Gravity doesn’t work differently before and after lunch, but students do.
  • An airplane’s rudder doesn’t have a different response to the pilot’s input, but this student might have a very different response than that student to a teacher’s input.
  • An EKG (I assume) shows a particular kind of result for a healthy heart and a distinct one for an unhealthy heart. A student’s test results might mean all sorts of things depending on all sorts of variables.
  • By the way: all of these examples so far focus on one student at a time. They don’t begin to explore the infinite, often-unpredictable interactions among students…
  • …or the differences among the topics that students learn…
  • …or the cultures within which the students learn.

We shouldn’t treat a classroom system as a straightforwardly stimulus-response system (like an airplane, like a bridge) because classrooms include an unpredictable vortex of possibilities between stimulus and response.

The best way – in many cases, the ONLY way – to manage that vortex: give teachers professional leeway to act, decide, change, and improvise.

The Continuum of Professionalism

Let’s pause for a moment to consider other kinds of professionls — say, ARCHITECTS, or THERAPISTS.

We allow — in fact we expect — subsantial freedom and creativity and variety as they do their work.

Of course, these professionals work within some constraints, and follow a well-defined code of ethics.

But those modest contraints allow for great freedom because…

… this client wants her house to look like a Tudor castle, while that client wants his to look like Falling Water, or

… this client struggles with PTSD and doesn’t want to take meds, while that client is managing bipolar disorder.

In other words: some professions do permit — in fact, require — strict limitations. But not all professions do. And, in my view, ours doesn’t. We’re more like architects than engineers.

Pushing Back: Reason #2

I promised two reasons that I resist the call for doctor-like-narrow-constraints. Here’s the second.

The analogies provided in this case all focus on people dying. The plane crashed. The heart-attack patient perished in agony. The bridge crushed workers and passers by.

In these professions, constraints literally save lives.

Now, I (like all teachers) think that education is important, and can transform lives and societies for the better. Bad educational practices do have damaging results for individuals and communities.

But: no one ever died from a bad English class. (I know; I’ve taught bad English classes. My students didn’t learn much, but they survived.)

If, in fact, teachers should work within tight constraints — checklists, scripts, step-by-step codes — the argument in favor of that position should be persuasive without the threat of death to energize it.

I’m Right, but I Might be Wrong

I promised up top that I’d include the weaknesses in my argument. I see at least four.

One:

Obviously, novice teachers require lots of support, and should work within tighter constraints than experienced teachers.

And, some teachers aren’t very good at their jobs. We might reasonably decline to trust their professional judgments.

Also: some people LIKE scripted curricula. I don’t think we should take them away from people who want them.

Two:

Teachers shouldn’t be scripted or managed detail by detail, but we should operate within well-established cognitive science principles. For instance:

  • Retrieval practice is, in almost all cases, better than simple review
  • Working memory overload is, in ALL cases, a detriment to learning
  • Myths like “learning styles” or “right/left brain learning” should not be a guide for instruction.

In other words: my call for independence isn’t absolute. We should know our subject and our craft — and then work flexibly and appropriately with those knowledge bases.

Three:

I suspect that a few specific disciplines might allow for precise scripting.

The teaching of reading or early math, for instance, might really benefit from doing EXACTLY step A and then EXACTLY step B, and so forth.

However:

Even in this case, I suspect we would need LOTS of different scripts:

… “typical” readers,

… students with dyslexia, or diagnosably low working memory,

… students with unusually low background knowledge,

… students whose home language isn’t the instructional language,

and so forth.

In other words: even a scriptable subject matter requires teacherly expertise and inventiveness in moving from script to script.

Four:

My own biases no doubt shape my argument.

I myself am a VERY independent person, and I have a penchant for holding teachers in great esteem.

For these reasons, I probably react more strongly than others do to the suggestion that teachers should be tightly constrained to meet our professional obligations.

In other words: I do have a logical argument in support of my position.

a) Flying an airplane is an inappropriate analogue for teaching a class;

b) Tight constraints are almost certainly impossible in the work we do.

But: that logical argument almost certainly gets much of its passion from a realm beyond logic.

In Sum

Ideas about pedagogy often rest on assumptions about teacher independence. For that reason, I’m glad that the speaker raised this point specifically, and made a strong argument to support one point of view.

I hope I’ve persuaded you that teachers — like architects — need informed independence (within some constraints) to do our work.

Even if not, I’m hopeful that thinking through these questions has proven helpful to you.


 

In this tweet threat, the invaluable Peps Mccrea gives an excellent example of a situation where teachers’ communal adherence to the same norms benefits students and schools.

The Benefits (and Perils) of Thinking Hard
Andrew Watson
Andrew Watson

Back in 2010, Professor Dan Willingham launched a movement with his now-classic book Why Don’t Students Like School?

In that book — one of the first to make cognitive science clear and practical for classroom teachers — Willingham wrote this immortal sentence: “Memory is the residue of thought.”

A triangular yellow road sign reading "Hard Work Ahead." the sign has a large hand print on it, and smudges of dirt or grime.

In other words: if we want students to learn something — and we do! — we need to make them think hard about it.

When I first read that sentence, it sounded almost too obvious to write down … until I recalled all the things that we (and I) do that DON’T require students to think about the topic we want them to learn.

Once we take this insight onboard, all sorts of other ideas start making more sense.

For instance: why is retrieval practice better at creating long-term memories than simple review?

Well, because students have to think harder when they retrieve than when they review. And because they think harder, they remember more. (“Memory is the residue of thought.”)

Simply put: we teachers strive to foster as much focused, hard thought as possible.

Voila — teaching made easy!

Not So Fast…

This core advice offers such practical insights: what could possibly be the problem?

Well, imagine this hypothetical:

If our students believe that fruits and vegetables are bad for their health, they face two compelling reasons not to eat ’em:

  • vegetables taste bad (I’m sorry, I don’t get kale), and
  • vegetable are bad for health.

That second belief might be wrong. But if the students believe it, it will influence their thinking and behavior.

Let’s translate this hypothetical to classrooms.

If our students believe that hard thinking is proof that they didn’t learn, they face two compelling reasons not to think hard:

  • thinking hard is unpleasant, and
  • thinking hard is proof that students don’t get the concept.

Now, you and I know that this second belief is false. Hard thinking is NOT proof that students don’t get the concept; it is — quite the contrary — an essential step on the way to getting the concept.

Hard thinking is — as the technology people say — not a bug; it’s a feature.

For these reasons, we really want to know: do our students hold this false belief? Do they think that hard thinking is both unpleasant and a sign of cognitive ineffectiveness?

In a word: yup.

Let’s Get Technical

A recent meta-analysis looks at precisely this question.

In the highly technical language of research, they conclude:

“The amount of mental effort experienced during a learning task is usually negatively correlated with learners’ perception of learning.”

In other words: just as we feared, students (on average) perceive mental effort to be unpleasant AND a sign that they’re not learning.

In other words:

“If a learner judges their perceived  mental effort to be high, they will judge their perceived learning…as low.”

In 1984, this situation would be described as “double-plus-un-good.”

As is usually the case, the methodology for this meta-analysis involves technical yada-yada that’s more complicated than is worth exploring. But those headlines should be clear enough to get our teacherly attention.

Translating Research for the Classroom

What should school people do with this information?

I’ve got three suggestions:

First:

“Just tell them.” *

That is:

  • Specifically say to students that, although it seems PLAUSIBLE that hard thought is a sign of academic failure,
  • Hard mental work actually helps them learn.

This truth feels obvious to adults, but is counter-intuitive to younger learners.

Of course, we will need to make this point over and over. I regularly say to my students: “That feeling in your head right now…that feeling ‘this is really complicated!’ … that feeling is you learning the concept.

Second:

Explain to students — in an age appropriate way — that research supports this claim.

For instance:

You could ask your students: “which is more difficult: a) trying to remember information, or b) rereading it?”

You can then show them LOTS O’ RESEARCH showing that trying to remember — a.k.a. “retrieval practice” — is MUCH more beneficial for learning.

Third:

Depending on the student, an analogy might be helpful: specifically a sports or arts analogy.

In my experience, most students accept without question that sports and arts require repetitious hard work.

  • If you want to get better at your dance steps, repeat your dance steps
  • If you’re bad at hitting 3-point shots, practice 3 point shots
  • If you hope to feel more natural with the blocking at the top of act II, you know what to do.

In every case, the need for all this hard work isn’t a sign that you can’t dance/score/act; instead, it’s a perfectly normal part of getting better at dancing, scoring, and acting.

By the way, I should probably include a fourth strategy:

“You will know what works best for you and your students.”

As is so often the case when translating research for the classroom, the teacher’s perspective often provides the best ideas.

Once you and your classroom colleagues know that students mis-interpret hard thought to be a bad thing, you will start coming up with the solutions likeliest to update this misconception.

Research can help us spot problems; we teachers are often even better at developing effective solutions.


 

* Yes, I’m slyly quoting the title of my friend Zach Groshell’s book.


David, L., Biwer, F., Baars, M., Wijnia, L., Paas, F., & De Bruin, A. (2024). The relation between perceived mental effort, monitoring judgments, and learning outcomes: A meta-analysis. Educational Psychology Review36(3), 66.

 

Learning Goals Reconsidered (No, Not THOSE Learning Goals)
Andrew Watson
Andrew Watson

I’ve been discussing a topic with colleagues in recent months, and want to share my thinking with you.

The outline for this blog post is:

An observation/question that has been nagging at me, then

A theory about the answer to the question, then

Possible implications of that theory.

Here goes:

A Puzzling Problem

In recent years, as I listen to discussions on BIG EDUCATIONAL TOPICS, I frequently find myself surprised by this truth:

Education is full of folks who are

  1. Obviously smart,
  2. Obviously well informed,
  3. Obviously concerned about their students, our profession, and our society, and
  4. FEROCIOUSLY, ANGRILY at odds with one another.

Seriously, if folks could punch one another online, Twitter would have LOTS of broken noses.

This observation leads to a straightforward question: why? Why do these ferocious disagreements persist?

A man and woman sit across a small table talking with each other. He shrugs his shoulders in puzzlement, she points in irritation.

If many of us think ably and know a lot and care deeply, it’s surprising that we disagree…and keep disagreeing. The heated arguments just don’t change much.

In many scientific fields, heated arguments result – over time, at least – in the ultimate persuasiveness of one case or another.

Plate tectonics used to be a controversial topic, with lots of heated rhetoric. Today, those debates among smart, knowledgeable, and caring people have resulted in something like consensus: the theory is almost certainly correct.

Surgeons now wash their hands before surgery. That practice was initially scorned, but now the anti-handwashing argument seems impossible to understand. OF COURSE one side prevailed in the debate.

Why haven’t educational debates followed this pattern? Why haven’t our disagreements led ultimately to agreements?

One Possibility

I’ve been discussing a possible answer with several friends: here goes.

I wonder if our debates remain so heated because we don’t agree on the GOALS of education. In fact, we aren’t even in the habit of discussing those goals – or the habit of connecting them to teaching practices.

Off the top of my head, I can imagine all sorts of big-picture goals for the millions of dollars and millions of hours our society devotes to creating and maintaining its educational system.

If I were to ask 100 people this question, I can imagine a wide range of answers: “the goal of our educational system is to…

  1. Create a workforce for the future,” or
  2. Help students understand and enact the word of God,” or
  3. Know the best that has been thought or said,” or
  4. Ensure that individual students develop to their fullest potential,” or
  5. Promote justice, equity, and peace,” or
  6. Preserve our culture and way of life,” or
  7. Raise scores on key benchmark assessments,” or
  8. Prepare children and society for an unpredictable future,” or
  9. Develop students who see themselves as readers, historians, scientists, etc.,” or
  10. Ensure that students know the curriculum,” or
  11. Create an informed and civic-minded electorate,” or
  12. Foster a love of learning so that students become life-long learners,” or …

…and so forth.

Perhaps the reason our debates about teaching strategies go nowhere is that we’re in fact trying to go different places.

That is:

I might read about a teaching strategy and think “Pish posh. That’s obviously bonkers. It simply won’t accomplish the core aims of education.”

And yet, the person proposing the strategy might well have entirely different aims. And – sure enough – the teaching strategy being proposed might achieve their core aims, if not mine.

If, for example, I practice the Awesome Watson Learning Method, I might to do because it fosters a love of learning (goal 12) and ensures that students see themselves as writers and programmers and doctors (goal 9).

A critic might respond: “that pedagogy won’t accomplish our goal!” And that criticism might be sincere, because the pedagogy doesn’t (let’s say) help students “learn the greatest that has been thought or said” (goal 3). Yet because I’m not striving for goal 3, I’m genuinely vexed and puzzled by my critic’s (obviously incorrect) critique.

Humbling Implications

If I’m right that our “debates” simply talk past one another because we don’t share — or discuss — educational goals, that realization suggests several next steps.

Step A:

The next time I hear someone espouse a teaching method that strikes me as foolish, I should switch from contempt to curiosity.

Rather than “pish posh,” I should say: “That’s intriguing — tell me more!”

If I ask the right questions in an open-minded, non-snarky way, I might discover an entirely unexpected goal at the end of the process. I might not agree about the importance of that goal, but I might …

…understand why the other person champions it, and

…recognize that the teaching strategy I once thought foolish might in fact accomplish it.

Sadly, this “switch from contempt to curiosity” is really difficult. I will face the constant temptation to ask leading questions and trap my interlocutors into admitting that my goal surpasses theirs in wisdom and beauty.

(The best book I’ve read that discusses this problem is David McRaney’s How Minds Change. It has really shaped my thinking on this challege.)

Step B:

Since 2008, I’ve been thinking about using scientific research — especially in psychology and neuroscience — to improve my teaching.

Obviously, this approach focuses on numerical measurements: calculations, graphs, statistics.

In other words: I believe that my teaching strategies accomplish my goals because I’ve got numbers that say so.

However, several of the big-picture goals listed above simply can’t be measured.

How would I know if the Awesome Watson Teaching Method…

… helps students become life-long learners?

… ultimately fosters civic engagement?

… encourages students to live and act according to God’s word?

The end point for these goals (and others) lies decades away — and will be influenced by THOUSANDS of other forces.

This fact, however, does not necessarily invalidate the potential importance of those goals.

Teachers might not be able to show a study — with p-values in the appropriate range, and a Cohen’s d above 0.2 — concluding that their teaching method promotes justice and peace. But that impossibility does not mean that their goal has no merit.

In other words: I’m attracted to a science-y approach to thinking about teaching practice, and I like being able to cite all those numbers. (92% of in-classroom studies show that  retrieval practice promotes long-term memory better than control conditions!)

But science-y approaches can’t routinely dictate answers to moral or ethical questions.

Another Possibility?

Of course, I have a MUCH simpler explanation for the fact that many people disagree with me — often angrily:

Those other people could be daft, ignorant, and/or immoral.

That explanation has several benefits.

  • It’s easy to summarize.
  • It converts me from a person into a hero/protagonist.
  • It frees me from the need to listen to their foolish, ill-informed, morally-tainted ideas.

At the same time, I find this simpler explanation unsatisfying — because I disagree with many people who don’t strike me as daft or wicked.

Perhaps there’s a third explanation?

TL;DR

I’m trying to focus less on why others are wrong. I’m trying to focus more on their implied goals for education — goals that have led them to teaching advice that puzzles or alarms me.

When I understand their goals, I might better understand — and learn from — their teaching suggestions.

Perhaps you’ll join me in this effort — and let me know what you learn.


 

In case the title of this post doesn’t make sense: researchers in the world of mindset encourage a less focus on performance goals (test scores, etc.) and more focus on learning goals (“look! I made progress!”).

This blog post isn’t about mindset-y learning goals, but about society’s broader goals for education.