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JUSTIN REICH: Why
don't we get started?

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Nice to see you all.

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So the thing I asked you to
do in your learning journals

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for today was to do
a little reflection

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on your personal edtech history.

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So what are tools,
experiences, platforms,

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systems that either had
some very positive effect

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on your learning
trajectory, you, like,

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discovered a love of something
because you did that, or were

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terrible and disastrous, they
ruined your learning experience,

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they made you feel bad,
they inhibited your learning

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in some way, or they were
just interesting, or engaging,

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or useless, or some
other way distinctive.

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Go ahead and-- now, if you
didn't do that assignment,

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you can probably still make
up an answer to that question.

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So you'll be OK for today,
but turn to the person or two

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next to you, get
in small groups,

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and just share a little
bit with each other

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about this little snippet of
your personal edtech history.

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We'll do that for five minutes
or so and then share out.

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Does that make sense?

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Ready, go.

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Did anybody happen
to be in a group

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where multiple people in the
group mentioned the same thing?

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Were they all different?

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What were the most similar ones?

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Anybody?

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AUDIENCE: There was a
computer literacy class, like,

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similarity.

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JUSTIN REICH: OK, good.

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So there's a class,
which is called computer

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literacy, digital literacy.

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And it's kind of a
pretty out, like, here's

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how to use PowerPoint,
here's how to type, here's

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how to do pretty simple
things with computers.

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Good.

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Yeah, that's a feature of a lot
of different kinds of school

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systems.

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And was it successful in your
environments or was it a drag?

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AUDIENCE: A drag.

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[LAUGHTER]

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JUSTIN REICH: Yeah, good.

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Yeah, yeah.

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Yeah, there can be a
bias that, oh, man,

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we got to put technology
in the schools

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because the kids are going
to be really fired up

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about the technology
in the school.

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No, actually if you do boring
things with technology,

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they're just as bored,
sometimes even more so.

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Anybody have things
that were really

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positive experiences for them,
that somebody, you or somebody

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in your group talked about?

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Things you're like,
yeah, that was great.

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That really made school better.

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AUDIENCE: Well, I mean, I
talked about the smart board,

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and just like the implementation
of it in, like, every classroom,

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I feel like, especially as
our generation was growing up.

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And like, I don't know, like, I
made a little, like, side story

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about how that's the first time
I felt like the student became

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the teacher because the
old ladies at our schools

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didn't know how to
recalibrate it or turn it on.

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So it was always the students
coming up and showing

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the teacher how to use it.

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JUSTIN REICH: Yeah.

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Yeah.

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Yeah.

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Good, a sort of
inversion of expertise.

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How many of you were in schools
where smart boards just kind

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of appeared in the middle of
your educational trajectory?

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Yeah, you all are
in the sweet spot.

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How many of you would
say that they were--

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anybody at schools
where you felt

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like they were very effective,
where they substantially

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improved learning?

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You thought yours?

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Good.

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How many of you were
at schools where

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this is like, no one
is using these things,

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they could have just bought
chalkboards or whiteboards

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or things like that?

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Yeah, so overwhelming
majority of that.

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Yeah, smart boards are like a
totally fascinating case study.

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A vast amount of money was
spent on these tools that

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seemed to have essentially
no positive impact at all

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on learning.

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In lots of places, they
really weren't used

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as interactive whiteboards.

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They were just like,
oh, like, a whiteboard.

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Khalil and I were joking
that they actually

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didn't work very
well in his school,

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in particular,
because they require

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slightly different lighting.

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Like, you need to dim
the lights a little bit

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to be able to see them.

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But the classrooms
that were built

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were not built for
dimmable lights.

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They were built for lights
that would be shined

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on whiteboards or chalkboards.

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And so the rest of the--
there's a whole bunch

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of the rest of the
infrastructure that

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didn't make smart boards work.

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Like, maybe your
classroom didn't work,

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maybe there was no
training for your teacher,

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maybe there were no
curriculum materials

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that were available to
integrate with the smart board.

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And yet, how is it
the case that we

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could be in a room
full of people

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all across the country,
all across the world,

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you all raised your
hand and you're like,

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we all bought smart boards
and they all didn't work?

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Why?

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Like, why didn't
the first people

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who bought smart boards be like,
team, this is not a good idea?

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Like, spend your money
on something else.

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Every dollar we spend
on education technology

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has an opportunity cost.

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Every time you spend
$1 in a school,

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you're trying to make
people's learning better.

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And there are very
few dollars that we

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spend that make learning worse.

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Does anybody feel
like the smart board

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actively, like, made you dumber
or learn slower or something

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like that?

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Probably not.

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Like, probably
you're smart-- like,

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it's probably the case
that no one, none of you

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were harmed by smart boards.

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I think that's pretty unlikely.

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But every dollar your
school spent on smart boards

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could have been spent on
some other technology,

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on some other curriculum
material, on art supplies,

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on professional
development for teachers,

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on a zillion other
things which could

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have improved your
learning experience

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and not just been, like,
a very expensive version

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of a whiteboard or
something like that.

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So there's a lot in that
discussion of smart boards

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that I think is helpful
for us to think about.

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How not just of the efficacy
of any particular technology,

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the efficacy of any
particular technology,

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how a particular
technology is situated

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in different kinds of places,
with at least one example

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from Dana who's like, no,
these things are great.

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We bought them.

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Our teachers got
trained with them.

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Students were able
to help use them.

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Like, it worked in
that one context,

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even if almost
universally, it didn't

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work in these other contexts.

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So those are all things
we're going to have

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to unpack and figure out.

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And then we're also going to
answer this question like,

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if there's this thing
which overwhelmingly

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doesn't work, why did schools
spend so much money on it?

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What were the incentives?

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What was the logic?

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Who was spending this money?

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All these kinds of things are
questions we can keep asking.

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Anybody have really
disastrous stories?

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That's kind of like a banal
weird, that thing didn't work.

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But anybody have, man,
this was terrible kind

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of experience with technology?

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AUDIENCE: At our smart
boards, in one case,

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students were able
to install, like--

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so you can customize
the brushes.

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And the students just chose kind
of an awful picture of a teacher

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to put as a brush.

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And they used as a kind
of a prank on them, which

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is technology allows you
to do more creative pranks.

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JUSTIN REICH: Good.

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Yeah.

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Yeah, so expanding our way
of humiliating faculty,

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that could be one good way.

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AUDIENCE: In seventh
grade, my school

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decided to give
everyone a Chromebook.

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But in seventh grade, I
feel like everyone is not

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really mature.

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So in class, everyone would
find a different game.

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It was like the snake I/O
game, or the paint I/O.

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And the entire class
would be on the game,

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like, while the
teacher was teaching.

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So then they would have to
block different websites,

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but a new website would
appear every week,

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so they just had to keep
blocking more and more.

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JUSTIN REICH: Yeah.

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Yeah.

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Yeah.

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Yeah, blocking
websites is a good way

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to teach young people
how to use VPNs.

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If you were like, I want
to teach young people

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how to use VPNs, then blocking
websites is pretty good.

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But I wrote an op-Ed
once years and years ago.

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Probably like just after I
was teaching, probably 2006,

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or '07, or something like that.

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Where I describe them
as knee-high fences

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around the internet that adults
trip over and young people just

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jump over.

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[LAUGHTER]

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Good.

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Yeah.

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So here's this tool,
which actually now

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is like Chromebooks are
pretty ubiquitous in schools.

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There are plenty of
places where there's

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pushback against these
kinds of technology

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for people telling just the
story that you described,

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our devices are
canonically designed

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to capture our attention
as much as possible,

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and to particularly capture
our attention in ways that

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have us look at advertisements
for people who are designing

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phones, and computers, and
websites, and things like that,

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is like a central focus.

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How do we get you looking at
this thing as much as possible?

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And in particular,
how do we then

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get advertisements to slide
in front of these things

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so that people will
pay you to look at it?

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That is not a set
of characteristics

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that are good for a
learning environment.

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But on the other
hand, we could--

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I'm sure some of you
may have mentioned them,

00:08:01.805 --> 00:08:04.570 align:middle line:84%
but we can go to schools where
Chromebooks are implemented

00:08:04.570 --> 00:08:06.550 align:middle line:84%
and the kids are not
playing snake I/O all day

00:08:06.550 --> 00:08:08.620 align:middle line:84%
because they're doing,
like, interesting learning

00:08:08.620 --> 00:08:10.750 align:middle line:84%
activities that are well
supervised that would not

00:08:10.750 --> 00:08:12.958 align:middle line:84%
be possible without the
Chromebook, without the apps,

00:08:12.958 --> 00:08:15.292 align:middle line:84%
without the access to the
internet and things like that.

00:08:15.292 --> 00:08:16.900 align:middle line:84%
So we could also
think about what

00:08:16.900 --> 00:08:21.230 align:middle line:84%
happened in your school that
had this kind of purchase,

00:08:21.230 --> 00:08:24.910 align:middle line:84%
and then there was clearly not
the rest of the infrastructure

00:08:24.910 --> 00:08:27.140 align:middle line:84%
in place to have that
purchase be meaningful,

00:08:27.140 --> 00:08:29.170 align:middle line:84%
whereas the exact same
purpose in other places

00:08:29.170 --> 00:08:31.490 align:middle line:84%
was supported by professional
learning, and curriculum,

00:08:31.490 --> 00:08:32.948 align:middle line:84%
and like, all the
other things that

00:08:32.948 --> 00:08:36.968 align:middle line:84%
might have potentially made that
a valuable learning experience.

00:08:36.968 --> 00:08:38.510 align:middle line:84%
AUDIENCE: So I was
talking to Herman,

00:08:38.510 --> 00:08:40.593 align:middle line:84%
and I think we had a bit
of a different experience

00:08:40.593 --> 00:08:42.640 align:middle line:84%
from most of the
people in the class,

00:08:42.640 --> 00:08:45.980 align:middle line:84%
because we didn't do our
basic learning in the US.

00:08:45.980 --> 00:08:46.930 align:middle line:90%
So [INAUDIBLE].

00:08:46.930 --> 00:08:47.780 align:middle line:90%
I'm from Brazil.

00:08:47.780 --> 00:08:52.590 align:middle line:84%
I think we use technology to a
much lesser extent than here.

00:08:52.590 --> 00:08:55.380 align:middle line:84%
So I remember there was, like,
one significant experience

00:08:55.380 --> 00:08:57.640 align:middle line:84%
for me in terms of using
technology growing up,

00:08:57.640 --> 00:09:01.740 align:middle line:84%
which is going to a media
lab to do English classes.

00:09:01.740 --> 00:09:04.350 align:middle line:84%
And I think it comes
to your point of having

00:09:04.350 --> 00:09:06.370 align:middle line:90%
a purpose to having technology.

00:09:06.370 --> 00:09:07.570 align:middle line:90%
And that was very clear.

00:09:07.570 --> 00:09:11.190 align:middle line:84%
You can't really do listening
and speaking exercises

00:09:11.190 --> 00:09:13.710 align:middle line:84%
unless you actually
have something to listen

00:09:13.710 --> 00:09:15.010 align:middle line:90%
to and something to repeat.

00:09:15.010 --> 00:09:17.070 align:middle line:84%
And like, each person
would have their booth

00:09:17.070 --> 00:09:18.900 align:middle line:84%
where they could
practice by themselves.

00:09:18.900 --> 00:09:21.600 align:middle line:84%
So I think the fact that
it was very purposeful,

00:09:21.600 --> 00:09:23.940 align:middle line:84%
and that it changed from
day to day, because I think

00:09:23.940 --> 00:09:25.603 align:middle line:90%
also there's an aspect of--

00:09:25.603 --> 00:09:27.520 align:middle line:84%
JUSTIN REICH: We're going
to the computer lab.

00:09:27.520 --> 00:09:28.480 align:middle line:90%
We're doing something different.

00:09:28.480 --> 00:09:29.230 align:middle line:90%
AUDIENCE: Exactly.

00:09:29.230 --> 00:09:30.180 align:middle line:90%
You change floors.

00:09:30.180 --> 00:09:31.650 align:middle line:84%
It was a different
scene changes.

00:09:31.650 --> 00:09:32.500 align:middle line:90%
Like, lighting.

00:09:32.500 --> 00:09:34.410 align:middle line:84%
Like, the fact
that it's different

00:09:34.410 --> 00:09:35.950 align:middle line:90%
made it much more interesting.

00:09:35.950 --> 00:09:39.100 align:middle line:84%
And when technology gets
to this very common place,

00:09:39.100 --> 00:09:41.560 align:middle line:90%
you take it for granted.

00:09:41.560 --> 00:09:45.040 align:middle line:84%
You don't really value
all that it can bring.

00:09:45.040 --> 00:09:46.153 align:middle line:90%
So yeah, we discussed it.

00:09:46.153 --> 00:09:48.570 align:middle line:84%
JUSTIN REICH: Yeah, I mean,
those kind of language classes

00:09:48.570 --> 00:09:49.540 align:middle line:90%
are a great example of this.

00:09:49.540 --> 00:09:51.950 align:middle line:84%
I know you probably all have
taken language classes where

00:09:51.950 --> 00:09:53.510 align:middle line:84%
the teacher goes
around and you like

00:09:53.510 --> 00:09:56.060 align:middle line:84%
each say hello to the teacher
in the foreign language.

00:09:56.060 --> 00:09:58.730 align:middle line:84%
And it takes like 10 minutes
to let everyone say hello once.

00:09:58.730 --> 00:10:00.560 align:middle line:84%
You all went to your
individual booths

00:10:00.560 --> 00:10:02.330 align:middle line:84%
and you could imagine
designing technology

00:10:02.330 --> 00:10:04.455 align:middle line:84%
where every person
simultaneously says hello,

00:10:04.455 --> 00:10:06.830 align:middle line:84%
and some algorithm evaluates
whether or not you say hello

00:10:06.830 --> 00:10:08.810 align:middle line:84%
correctly, and then it
says something back to you

00:10:08.810 --> 00:10:09.570 align:middle line:90%
and other kinds of things.

00:10:09.570 --> 00:10:10.487 align:middle line:90%
You're like, wow, wow.

00:10:10.487 --> 00:10:12.548 align:middle line:84%
We each are getting
our own teacher that

00:10:12.548 --> 00:10:14.840 align:middle line:84%
maybe isn't as good as the
human teacher, but all of us

00:10:14.840 --> 00:10:16.170 align:middle line:90%
get one at the same time.

00:10:16.170 --> 00:10:17.420 align:middle line:90%
That's pretty cool.

00:10:17.420 --> 00:10:19.470 align:middle line:84%
AUDIENCE: I would say,
like, adding, I think,

00:10:19.470 --> 00:10:22.790 align:middle line:84%
to what you said with purpose
is also like, you went there

00:10:22.790 --> 00:10:25.290 align:middle line:90%
to do that English practice.

00:10:25.290 --> 00:10:27.510 align:middle line:84%
It wasn't used for any
extraneous reasons.

00:10:27.510 --> 00:10:29.850 align:middle line:84%
Something like this,
like Chromebooks,

00:10:29.850 --> 00:10:32.400 align:middle line:84%
I have a younger sister who's
in high school right now.

00:10:32.400 --> 00:10:34.430 align:middle line:84%
And all her homework
has to be submitted

00:10:34.430 --> 00:10:35.880 align:middle line:90%
on Canvas or something.

00:10:35.880 --> 00:10:38.780 align:middle line:84%
And then she also
just loves, like,

00:10:38.780 --> 00:10:40.050 align:middle line:90%
watching YouTube and stuff.

00:10:40.050 --> 00:10:41.930 align:middle line:84%
And then my mom's
problem is like, I

00:10:41.930 --> 00:10:44.060 align:middle line:84%
can't remove her
technology or limit

00:10:44.060 --> 00:10:46.170 align:middle line:84%
her technology because
that limits her schoolwork.

00:10:46.170 --> 00:10:47.070 align:middle line:90%
So what do you do?

00:10:47.070 --> 00:10:50.540 align:middle line:84%
Like, you can't control
her, like, what she's doing.

00:10:50.540 --> 00:10:52.940 align:middle line:84%
JUSTIN REICH: Not only
that, but the vast majority

00:10:52.940 --> 00:10:57.740 align:middle line:84%
of how we learn to be parents
is by observing our own parents.

00:10:57.740 --> 00:11:02.420 align:middle line:84%
And this generation, parents
of roughly my age, a little bit

00:11:02.420 --> 00:11:06.140 align:middle line:84%
younger, certainly the next
generation coming along,

00:11:06.140 --> 00:11:09.500 align:middle line:84%
we can't turn to our
own childhood examples

00:11:09.500 --> 00:11:11.630 align:middle line:84%
to figure out how to
navigate something like this.

00:11:11.630 --> 00:11:14.630 align:middle line:84%
It's very difficult to come up
with good parenting strategies

00:11:14.630 --> 00:11:15.870 align:middle line:90%
from first principles.

00:11:15.870 --> 00:11:18.020 align:middle line:84%
A professional parent or
a professional caregiver

00:11:18.020 --> 00:11:19.410 align:middle line:84%
getting training and
other things like that.

00:11:19.410 --> 00:11:21.020 align:middle line:90%
What are you supposed to do?

00:11:21.020 --> 00:11:22.820 align:middle line:90%
And no, it's a--

00:11:22.820 --> 00:11:27.110 align:middle line:84%
I think a lot of
school-wide infrastructure

00:11:27.110 --> 00:11:30.920 align:middle line:84%
has a bunch of
unintended consequences.

00:11:30.920 --> 00:11:33.350 align:middle line:84%
The idea that at night
we're going to lock kids

00:11:33.350 --> 00:11:36.680 align:middle line:90%
into their devices like that.

00:11:36.680 --> 00:11:39.420 align:middle line:90%
And it can also differ by kids.

00:11:39.420 --> 00:11:41.712 align:middle line:84%
So for kids who have really
good executive function who

00:11:41.712 --> 00:11:43.545 align:middle line:84%
can be like, I'm going
to do all my homework

00:11:43.545 --> 00:11:44.970 align:middle line:84%
and then watch the
YouTube videos.

00:11:44.970 --> 00:11:46.130 align:middle line:84%
Like, maybe there's
cool different things

00:11:46.130 --> 00:11:47.630 align:middle line:84%
that we could do
with the computers.

00:11:47.630 --> 00:11:49.216 align:middle line:90%
But for kids who are--

00:11:49.216 --> 00:11:50.080 align:middle line:90%
yeah, it's weird.

00:11:50.080 --> 00:11:51.920 align:middle line:84%
Like, do homework
on the machine,

00:11:51.920 --> 00:11:53.480 align:middle line:90%
which always has YouTube on it.

00:11:53.480 --> 00:11:56.110 align:middle line:84%
Like, literally you're one click
away from really fun things

00:11:56.110 --> 00:11:56.690 align:middle line:90%
all the time.

00:11:56.690 --> 00:12:00.190 align:middle line:84%
But do your quadratic
equations, really.

00:12:00.190 --> 00:12:01.040 align:middle line:90%
It's nuts, right?

00:12:01.040 --> 00:12:03.670 align:middle line:84%
Like, there must be
millions of kids who cannot,

00:12:03.670 --> 00:12:05.470 align:middle line:90%
are not good at that.

00:12:05.470 --> 00:12:07.640 align:middle line:84%
AUDIENCE: Yeah, I think
to add on to that fact.

00:12:07.640 --> 00:12:09.950 align:middle line:84%
I also went to an international
school in Ethiopia.

00:12:09.950 --> 00:12:12.820 align:middle line:84%
And it was a really
interesting experience

00:12:12.820 --> 00:12:15.610 align:middle line:84%
of how rules around
technology would change almost

00:12:15.610 --> 00:12:17.300 align:middle line:90%
like on a weekly basis.

00:12:17.300 --> 00:12:19.318 align:middle line:84%
At some point, it was
like, at some point,

00:12:19.318 --> 00:12:20.860 align:middle line:84%
like, you can't use
any social media.

00:12:20.860 --> 00:12:21.910 align:middle line:84%
And then, like,
phones were banned.

00:12:21.910 --> 00:12:24.350 align:middle line:84%
And then they're like, oh, I
think it's call your parents,

00:12:24.350 --> 00:12:25.517 align:middle line:90%
though, you can't call them.

00:12:25.517 --> 00:12:27.130 align:middle line:84%
And then it was
like limited time.

00:12:27.130 --> 00:12:28.600 align:middle line:90%
And then like VPNs came.

00:12:28.600 --> 00:12:30.070 align:middle line:84%
And then it was
like-- it's always

00:12:30.070 --> 00:12:32.980 align:middle line:84%
so interesting of how teachers
and faculty would always

00:12:32.980 --> 00:12:34.420 align:middle line:90%
try to make, like, new rules.

00:12:34.420 --> 00:12:37.810 align:middle line:84%
And each time, they would have
to get broken or something would

00:12:37.810 --> 00:12:38.660 align:middle line:90%
have to change.

00:12:38.660 --> 00:12:41.050 align:middle line:84%
And I think it was
always, like, almost

00:12:41.050 --> 00:12:46.156 align:middle line:84%
like a comedy show of how much
it changed throughout the time.

00:12:46.156 --> 00:12:48.100 align:middle line:84%
JUSTIN REICH: When
internet filters were first

00:12:48.100 --> 00:12:50.440 align:middle line:84%
widely introduced in schools,
one of the problems came up

00:12:50.440 --> 00:12:51.857 align:middle line:84%
was the vice
president at the time

00:12:51.857 --> 00:12:53.800 align:middle line:90%
was a guy named Dick Cheney.

00:12:53.800 --> 00:12:58.450 align:middle line:84%
And there are a lot of searches
that were filtering out "Dick."

00:12:58.450 --> 00:13:00.550 align:middle line:84%
But you need to figure
out about Dick Cheney.

00:13:00.550 --> 00:13:02.750 align:middle line:84%
So then like,
someone sets a rule.

00:13:02.750 --> 00:13:04.690 align:middle line:84%
The rule isn't right
for the context.

00:13:04.690 --> 00:13:06.422 align:middle line:84%
GPT is another set
of things right now

00:13:06.422 --> 00:13:08.380 align:middle line:84%
that people are doing
with tons of rules about.

00:13:08.380 --> 00:13:09.410 align:middle line:90%
These are good things.

00:13:09.410 --> 00:13:10.340 align:middle line:84%
We're going to keep
talking about them.

00:13:10.340 --> 00:13:11.120 align:middle line:90%
I'll take a break here.

00:13:11.120 --> 00:13:13.130 align:middle line:84%
So that we can move on
to some other things.

00:13:13.130 --> 00:13:16.395 align:middle line:84%
But you all have valuable
case study experiences

00:13:16.395 --> 00:13:17.770 align:middle line:84%
from your time in
schools that we

00:13:17.770 --> 00:13:19.780 align:middle line:84%
can bring into our
conversations together

00:13:19.780 --> 00:13:24.490 align:middle line:84%
to think about how new
technologies operate.

00:13:24.490 --> 00:13:29.493 align:middle line:84%
To do a good job of making
sense of technologies,

00:13:29.493 --> 00:13:31.910 align:middle line:84%
we need to understand a little
bit about how people learn.

00:13:31.910 --> 00:13:33.702 align:middle line:84%
So we're going to spend
two classes looking

00:13:33.702 --> 00:13:38.410 align:middle line:84%
at two pretty well established
contemporary philosophies,

00:13:38.410 --> 00:13:40.630 align:middle line:84%
pedagogy, sciences
about learning.

00:13:40.630 --> 00:13:44.230 align:middle line:84%
Today you read a bunch
about cognitive load theory.

00:13:44.230 --> 00:13:46.480 align:middle line:84%
I'm going to ask you to do
another exercise, actually,

00:13:46.480 --> 00:13:48.563 align:middle line:84%
in the same groups that
you were in would probably

00:13:48.563 --> 00:13:50.130 align:middle line:90%
be fine for this one.

00:13:50.130 --> 00:13:56.490 align:middle line:84%
I want you to draw a visual
representation of what

00:13:56.490 --> 00:13:58.470 align:middle line:84%
the authors of the
cognitive learning--

00:13:58.470 --> 00:14:00.510 align:middle line:84%
of the cognitive
learning theory, articles

00:14:00.510 --> 00:14:03.360 align:middle line:84%
you read in other things, called
human cognitive architecture.

00:14:03.360 --> 00:14:06.600 align:middle line:84%
What are the key
components of the brain

00:14:06.600 --> 00:14:12.180 align:middle line:84%
of thinking of memory in
order to have learning happen?

00:14:12.180 --> 00:14:13.950 align:middle line:84%
Another thing that
you could draw

00:14:13.950 --> 00:14:18.120 align:middle line:84%
in this visual representation
is based on this human cognitive

00:14:18.120 --> 00:14:20.910 align:middle line:84%
architecture, there
follows a series

00:14:20.910 --> 00:14:22.300 align:middle line:90%
of instructional principles.

00:14:22.300 --> 00:14:26.170 align:middle line:84%
There follows a series of better
and worse ways to teach people.

00:14:26.170 --> 00:14:28.020 align:middle line:84%
And so you could also
try to illustrate

00:14:28.020 --> 00:14:32.520 align:middle line:84%
how this human cognitive
architecture leads

00:14:32.520 --> 00:14:34.540 align:middle line:84%
to different kinds of
instructional principles.

00:14:34.540 --> 00:14:38.100 align:middle line:84%
So groups can either go and
take a chunk of whiteboard

00:14:38.100 --> 00:14:40.000 align:middle line:84%
and use some of those
whiteboard markers.

00:14:40.000 --> 00:14:43.090 align:middle line:84%
Or part of why I'm doing this is
just, I really like this paper,

00:14:43.090 --> 00:14:44.520 align:middle line:90%
but it kind of got folded.

00:14:44.520 --> 00:14:46.440 align:middle line:90%
So I just want to get rid of it.

00:14:46.440 --> 00:14:48.630 align:middle line:84%
But you can take one of
these and huddle around

00:14:48.630 --> 00:14:50.740 align:middle line:90%
on one of the tables and draw.

00:14:50.740 --> 00:14:52.843 align:middle line:84%
So if you're a paper person,
you can draw on these

00:14:52.843 --> 00:14:54.760 align:middle line:84%
and then stick them up
there in a few minutes.

00:14:54.760 --> 00:14:56.950 align:middle line:84%
If you're a whiteboard
person, you can do that.

00:14:56.950 --> 00:14:58.800 align:middle line:84%
We still have all
these markers here.

00:14:58.800 --> 00:15:02.358 align:middle line:84%
I haven't given you
totally clear instructions,

00:15:02.358 --> 00:15:03.900 align:middle line:84%
in part because what
I want you to do

00:15:03.900 --> 00:15:06.360 align:middle line:84%
is to figure out how
to think through some

00:15:06.360 --> 00:15:07.467 align:middle line:90%
of this on your own a bit.

00:15:07.467 --> 00:15:09.300 align:middle line:84%
But get in your groups,
talk with each other

00:15:09.300 --> 00:15:11.790 align:middle line:84%
about what you think
are the key components

00:15:11.790 --> 00:15:14.910 align:middle line:84%
of cognitive load theory and
the human cognitive architecture

00:15:14.910 --> 00:15:17.620 align:middle line:84%
that leads to
cognitive load theory.

00:15:17.620 --> 00:15:19.410 align:middle line:84%
And don't go more
than like two minutes

00:15:19.410 --> 00:15:21.798 align:middle line:84%
before starting to
put pen to paper.

00:15:21.798 --> 00:15:24.340 align:middle line:84%
You're not going to be graded
on whether or not you're right.

00:15:24.340 --> 00:15:25.840 align:middle line:84%
But let's see if
we can get a couple

00:15:25.840 --> 00:15:29.160 align:middle line:84%
of different representations
of what these folks are talking

00:15:29.160 --> 00:15:31.800 align:middle line:84%
about, how people learn and
based on how people learn

00:15:31.800 --> 00:15:33.100 align:middle line:90%
how should we instruct them.

00:15:33.100 --> 00:15:34.590 align:middle line:84%
Does that give you enough
to start messing around

00:15:34.590 --> 00:15:35.410 align:middle line:90%
for a little bit?

00:15:35.410 --> 00:15:36.290 align:middle line:90%
Ready, go.

00:15:36.290 --> 00:15:39.900 align:middle line:90%


00:15:39.900 --> 00:15:40.433 align:middle line:90%
All right.

00:15:40.433 --> 00:15:41.850 align:middle line:84%
You've seen a
couple of these now.

00:15:41.850 --> 00:15:45.870 align:middle line:84%
What are the main building
blocks of this model of a brain?

00:15:45.870 --> 00:15:49.557 align:middle line:84%
What are the key features of
human cognitive architecture?

00:15:49.557 --> 00:15:51.890 align:middle line:84%
AUDIENCE: I feel like almost
everyone has working memory

00:15:51.890 --> 00:15:52.770 align:middle line:90%
and long-term memory.

00:15:52.770 --> 00:15:54.590 align:middle line:84%
JUSTIN REICH: OK, two
big pieces here that

00:15:54.590 --> 00:15:57.050 align:middle line:84%
are important, working
memory and long-term memory.

00:15:57.050 --> 00:15:58.550 align:middle line:84%
What are some of
the characteristics

00:15:58.550 --> 00:15:59.470 align:middle line:90%
of long-term memory?

00:15:59.470 --> 00:16:02.630 align:middle line:90%


00:16:02.630 --> 00:16:03.783 align:middle line:90%
It's cool.

00:16:03.783 --> 00:16:05.450 align:middle line:84%
AUDIENCE: Different
schema stored inside

00:16:05.450 --> 00:16:06.540 align:middle line:90%
of long-term memory.

00:16:06.540 --> 00:16:09.900 align:middle line:84%
JUSTIN REICH: OK, so we
store stuff in blocks.

00:16:09.900 --> 00:16:12.240 align:middle line:84%
We want to talk some more
about what these schemas are.

00:16:12.240 --> 00:16:14.195 align:middle line:90%
That seems important.

00:16:14.195 --> 00:16:15.570 align:middle line:84%
AUDIENCE: It's
kind of limitless.

00:16:15.570 --> 00:16:17.040 align:middle line:90%
JUSTIN REICH: It's limitless.

00:16:17.040 --> 00:16:18.630 align:middle line:90%
That is bonkers.

00:16:18.630 --> 00:16:21.620 align:middle line:84%
No one has discovered
the boundaries

00:16:21.620 --> 00:16:25.110 align:middle line:84%
of the amount of stuff you
can store in the human brain.

00:16:25.110 --> 00:16:27.510 align:middle line:84%
You have a finite
amount of space,

00:16:27.510 --> 00:16:29.010 align:middle line:84%
you have a finite
number of ounces,

00:16:29.010 --> 00:16:30.510 align:middle line:84%
you have a finite
number of neurons.

00:16:30.510 --> 00:16:32.370 align:middle line:84%
There's a lot of them,
but a finite number.

00:16:32.370 --> 00:16:34.700 align:middle line:84%
And as far as we can tell,
there are no known limits

00:16:34.700 --> 00:16:37.260 align:middle line:84%
to how much stuff you can
store inside your brain.

00:16:37.260 --> 00:16:38.580 align:middle line:90%
That's amazing.

00:16:38.580 --> 00:16:41.233 align:middle line:84%
That is an amazing
feature of your brain.

00:16:41.233 --> 00:16:42.650 align:middle line:84%
Anything else that
seems important

00:16:42.650 --> 00:16:44.250 align:middle line:90%
about long-term memory?

00:16:44.250 --> 00:16:45.390 align:middle line:90%
All the stuff can be there.

00:16:45.390 --> 00:16:45.940 align:middle line:90%
How cool.

00:16:45.940 --> 00:16:48.890 align:middle line:90%


00:16:48.890 --> 00:16:50.600 align:middle line:90%
AUDIENCE: It's also unconscious.

00:16:50.600 --> 00:16:53.750 align:middle line:84%
JUSTIN REICH: Yeah, you cannot
think about all those things

00:16:53.750 --> 00:16:54.900 align:middle line:90%
at the same time.

00:16:54.900 --> 00:16:57.650 align:middle line:90%
It is unconscious.

00:16:57.650 --> 00:16:59.260 align:middle line:84%
How long does stuff
stay in there?

00:16:59.260 --> 00:17:04.520 align:middle line:90%


00:17:04.520 --> 00:17:05.910 align:middle line:90%
It falls out, right?

00:17:05.910 --> 00:17:07.565 align:middle line:90%
You forget stuff.

00:17:07.565 --> 00:17:08.940 align:middle line:84%
If you're interested
in learning,

00:17:08.940 --> 00:17:11.420 align:middle line:84%
the fact that you forget
things is really important.

00:17:11.420 --> 00:17:13.380 align:middle line:84%
So stuff goes in the
long-term memory,

00:17:13.380 --> 00:17:15.008 align:middle line:84%
it leaks out into
long-term memory.

00:17:15.008 --> 00:17:16.550 align:middle line:84%
Some of the very
earliest experiments

00:17:16.550 --> 00:17:18.050 align:middle line:84%
in psychology done
by a guy named

00:17:18.050 --> 00:17:20.810 align:middle line:84%
Ebbinghaus were about
the forgetting curve.

00:17:20.810 --> 00:17:22.310 align:middle line:84%
It was a psychology
experiments that

00:17:22.310 --> 00:17:24.660 align:middle line:84%
were mostly, as I understand,
he mostly did by himself.

00:17:24.660 --> 00:17:26.827 align:middle line:84%
He basically, like,
tried to remember stuff.

00:17:26.827 --> 00:17:28.369 align:middle line:84%
And then tested
himself, and then saw

00:17:28.369 --> 00:17:30.050 align:middle line:84%
how often he forgot
things, and noticed

00:17:30.050 --> 00:17:32.480 align:middle line:84%
that they were mathematical
properties, the forgetting curve

00:17:32.480 --> 00:17:33.360 align:middle line:90%
and things like that.

00:17:33.360 --> 00:17:35.030 align:middle line:90%
All right, long-term memory.

00:17:35.030 --> 00:17:38.990 align:middle line:90%
It's functionally limitless.

00:17:38.990 --> 00:17:41.660 align:middle line:84%
It's unconscious, so we
can't directly access it.

00:17:41.660 --> 00:17:45.340 align:middle line:84%
We can put things of different
levels of complexity in there.

00:17:45.340 --> 00:17:51.310 align:middle line:84%
What schemas do is allow us to
aggregate information elements

00:17:51.310 --> 00:17:53.080 align:middle line:84%
into more and more
complex kind of things.

00:17:53.080 --> 00:17:55.247 align:middle line:84%
What are some of the key
features of working memory?

00:17:55.247 --> 00:17:57.892 align:middle line:90%


00:17:57.892 --> 00:17:58.850 align:middle line:90%
AUDIENCE: Very limited.

00:17:58.850 --> 00:17:59.720 align:middle line:90%
JUSTIN REICH: Very limited.

00:17:59.720 --> 00:18:01.137 align:middle line:84%
About how many
things can you hold

00:18:01.137 --> 00:18:04.395 align:middle line:84%
in your working memory at
any given time, give or take?

00:18:04.395 --> 00:18:06.020 align:middle line:84%
Maybe this article
didn't emphasize it.

00:18:06.020 --> 00:18:06.937 align:middle line:90%
Most people know this.

00:18:06.937 --> 00:18:09.320 align:middle line:84%
It's kind of like a fact that
is out there in the world.

00:18:09.320 --> 00:18:10.280 align:middle line:90%
AUDIENCE: Like, seven?

00:18:10.280 --> 00:18:11.780 align:middle line:84%
JUSTIN REICH: Yeah,
for a long time,

00:18:11.780 --> 00:18:12.947 align:middle line:90%
people thought it was seven.

00:18:12.947 --> 00:18:15.860 align:middle line:84%
A better guess seems to be even
less than that, three to five.

00:18:15.860 --> 00:18:17.125 align:middle line:90%
But somewhere in the very--

00:18:17.125 --> 00:18:19.000 align:middle line:84%
so here's another
beautiful thing about-- you

00:18:19.000 --> 00:18:21.020 align:middle line:84%
all come from all different
parts of the world,

00:18:21.020 --> 00:18:22.210 align:middle line:84%
you can look around
this room and you

00:18:22.210 --> 00:18:24.500 align:middle line:84%
can see that you're different
in all kinds of ways.

00:18:24.500 --> 00:18:25.310 align:middle line:90%
You're different genders.

00:18:25.310 --> 00:18:26.870 align:middle line:84%
You have different skin
color, different hair color,

00:18:26.870 --> 00:18:28.703 align:middle line:84%
different eye color,
all that kind of thing.

00:18:28.703 --> 00:18:31.520 align:middle line:84%
All of you have essentially
the exact same working memory.

00:18:31.520 --> 00:18:34.600 align:middle line:84%
All of you can hold three
to five things in your head.

00:18:34.600 --> 00:18:37.353 align:middle line:84%
It doesn't seem to
decline as you age.

00:18:37.353 --> 00:18:39.770 align:middle line:84%
Like, there's other problems
with aging, things like that.

00:18:39.770 --> 00:18:40.820 align:middle line:84%
But people of all
different ages,

00:18:40.820 --> 00:18:42.490 align:middle line:84%
everyone, every human
you'll ever meet,

00:18:42.490 --> 00:18:44.157 align:middle line:84%
the eight billion
people on this planet,

00:18:44.157 --> 00:18:47.790 align:middle line:84%
they can all hold three to five
things in their working memory

00:18:47.790 --> 00:18:48.790 align:middle line:90%
at any given time.

00:18:48.790 --> 00:18:52.360 align:middle line:84%
It is like a beautiful thing
that unites all people on Earth

00:18:52.360 --> 00:18:57.630 align:middle line:84%
is this common feature of
cognitive architecture.

00:18:57.630 --> 00:19:03.760 align:middle line:84%
How do you get or what are
the things in working memory?

00:19:03.760 --> 00:19:06.780 align:middle line:84%
How do you get them, or access
them, or do something with them?

00:19:06.780 --> 00:19:08.738 align:middle line:84%
AUDIENCE: Well, I was
going to say like as much

00:19:08.738 --> 00:19:11.080 align:middle line:84%
as we can only hold like
three to five things,

00:19:11.080 --> 00:19:14.640 align:middle line:84%
like, those things you can
say, like, are like schemas.

00:19:14.640 --> 00:19:17.320 align:middle line:90%
And they can be super complex.

00:19:17.320 --> 00:19:21.040 align:middle line:84%
And that's how you're able to
solve really hard problems.

00:19:21.040 --> 00:19:23.560 align:middle line:84%
So as much as the-- like, the
example of the restaurant,

00:19:23.560 --> 00:19:25.930 align:middle line:84%
you have the chairs
and the tables,

00:19:25.930 --> 00:19:27.262 align:middle line:90%
that's like the basic things.

00:19:27.262 --> 00:19:29.220 align:middle line:84%
And then the food that
you eat and the workers,

00:19:29.220 --> 00:19:31.220 align:middle line:84%
and like, all these things
make up a restaurant,

00:19:31.220 --> 00:19:32.650 align:middle line:90%
which are super confusing.

00:19:32.650 --> 00:19:34.590 align:middle line:84%
But your working
memory just knows it

00:19:34.590 --> 00:19:37.150 align:middle line:84%
as this really large,
like, one object.

00:19:37.150 --> 00:19:40.420 align:middle line:84%
And so in your working memory's
mind, that's only one thing,

00:19:40.420 --> 00:19:42.918 align:middle line:84%
but it's really a compilation
of hundreds of things.

00:19:42.918 --> 00:19:43.960 align:middle line:90%
JUSTIN REICH: Yeah, good.

00:19:43.960 --> 00:19:46.730 align:middle line:84%
So we can organize some
things into larger things.

00:19:46.730 --> 00:19:49.230 align:middle line:84%
And the reason why we're using
imprecise words, I would say,

00:19:49.230 --> 00:19:55.530 align:middle line:84%
is in part like, this is not
the revealed word of the creator

00:19:55.530 --> 00:19:57.460 align:middle line:90%
about your brain.

00:19:57.460 --> 00:20:00.250 align:middle line:84%
This is like the best
models we can come up with.

00:20:00.250 --> 00:20:01.570 align:middle line:90%
And our models are imperfect.

00:20:01.570 --> 00:20:03.880 align:middle line:84%
What exactly is a thing
in working memory?

00:20:03.880 --> 00:20:05.700 align:middle line:84%
I think it's a little
bit sketchy how much

00:20:05.700 --> 00:20:06.908 align:middle line:90%
our understanding of that is.

00:20:06.908 --> 00:20:08.575 align:middle line:84%
However, even with
sketchy models, like,

00:20:08.575 --> 00:20:10.033 align:middle line:84%
we can still do
useful things with.

00:20:10.033 --> 00:20:11.770 align:middle line:84%
Let's do a quick
working memory exercise.

00:20:11.770 --> 00:20:14.460 align:middle line:90%
Do any of you speak Sanskrit?

00:20:14.460 --> 00:20:16.525 align:middle line:84%
Oh wait, I can't show
you this just yet.

00:20:16.525 --> 00:20:18.400 align:middle line:84%
Well, here's-- actually,
I'll do these first,

00:20:18.400 --> 00:20:20.025 align:middle line:84%
and then I'll show
you this next thing.

00:20:20.025 --> 00:20:21.610 align:middle line:90%
Grab a piece of paper and a pen.

00:20:21.610 --> 00:20:23.485 align:middle line:84%
If you don't have a
piece of paper and a pen,

00:20:23.485 --> 00:20:25.080 align:middle line:90%
you can pass that around.

00:20:25.080 --> 00:20:26.975 align:middle line:90%
Here are two that I really like.

00:20:26.975 --> 00:20:30.780 align:middle line:90%


00:20:30.780 --> 00:20:34.530 align:middle line:84%
This one, I think, illustrates
really nicely the idea

00:20:34.530 --> 00:20:37.090 align:middle line:84%
that the working memory
is the bottleneck.

00:20:37.090 --> 00:20:40.250 align:middle line:84%
If you are an educator,
one of the main things

00:20:40.250 --> 00:20:44.280 align:middle line:84%
you're working against is
people's limited working memory.

00:20:44.280 --> 00:20:46.290 align:middle line:84%
If people had huge
working memories,

00:20:46.290 --> 00:20:48.933 align:middle line:84%
you could tell them all
kinds of complex things.

00:20:48.933 --> 00:20:50.850 align:middle line:84%
You'd be like, let me
just explain everything.

00:20:50.850 --> 00:20:52.267 align:middle line:84%
And they would be
like, great, now

00:20:52.267 --> 00:20:53.690 align:middle line:90%
it's all in my long-term memory.

00:20:53.690 --> 00:20:55.170 align:middle line:90%
But you actually can't do that.

00:20:55.170 --> 00:20:58.220 align:middle line:84%
People can only attend to
a small number of things

00:20:58.220 --> 00:20:59.178 align:middle line:90%
at any given time.

00:20:59.178 --> 00:21:01.220 align:middle line:84%
And for novices, those
things that they attend to

00:21:01.220 --> 00:21:02.722 align:middle line:84%
are necessarily
going to be simpler

00:21:02.722 --> 00:21:03.930 align:middle line:90%
than for more complex people.

00:21:03.930 --> 00:21:06.890 align:middle line:84%
So for the people in
cognitive load theory,

00:21:06.890 --> 00:21:09.840 align:middle line:84%
as they think about
instructional environments,

00:21:09.840 --> 00:21:13.340 align:middle line:84%
the bottleneck of those
instructional environments

00:21:13.340 --> 00:21:15.980 align:middle line:84%
is the limits of
your working memory.

00:21:15.980 --> 00:21:17.820 align:middle line:84%
Anybody read the
Sweller article?

00:21:17.820 --> 00:21:22.190 align:middle line:84%
Anybody remember how
cognitive load theory

00:21:22.190 --> 00:21:23.700 align:middle line:90%
got started to begin with?

00:21:23.700 --> 00:21:25.850 align:middle line:84%
What was the
canonical experiment

00:21:25.850 --> 00:21:29.298 align:middle line:84%
that got John Sweller kicked
off onto cognitive load theory?

00:21:29.298 --> 00:21:31.340 align:middle line:84%
AUDIENCE: Wasn't he, like,
making his students do

00:21:31.340 --> 00:21:34.740 align:middle line:84%
some kind of weird math,
like, adding and subtracting,

00:21:34.740 --> 00:21:36.150 align:middle line:90%
and multiplying multiple things?

00:21:36.150 --> 00:21:37.192 align:middle line:90%
JUSTIN REICH: Yeah, yeah.

00:21:37.192 --> 00:21:40.100 align:middle line:84%
So you solve a math problem,
you're given number A and number

00:21:40.100 --> 00:21:42.420 align:middle line:84%
B, and there's only two
operations you can do.

00:21:42.420 --> 00:21:44.982 align:middle line:84%
It's something like you can
multiply by 3 or subtract 69.

00:21:44.982 --> 00:21:46.440 align:middle line:84%
Those numbers aren't
exactly right.

00:21:46.440 --> 00:21:48.240 align:middle line:84%
But those are the only
two operations you can do.

00:21:48.240 --> 00:21:50.390 align:middle line:84%
And somehow you have to get from
the first number he gives you

00:21:50.390 --> 00:21:51.807 align:middle line:84%
to the second
number he gives you.

00:21:51.807 --> 00:21:53.730 align:middle line:84%
People do multiple
forms of this problem.

00:21:53.730 --> 00:21:58.640 align:middle line:84%
It turns out that solution
is always alternating

00:21:58.640 --> 00:22:00.120 align:middle line:90%
between these two things.

00:22:00.120 --> 00:22:02.340 align:middle line:90%
Add 69, multiplied by 3.

00:22:02.340 --> 00:22:03.510 align:middle line:90%
Add 69, multiplied by 3.

00:22:03.510 --> 00:22:04.680 align:middle line:90%
Add 69, multiplied by 3.

00:22:04.680 --> 00:22:07.040 align:middle line:90%
Nobody notices this.

00:22:07.040 --> 00:22:08.510 align:middle line:90%
None of the people.

00:22:08.510 --> 00:22:09.210 align:middle line:90%
Maybe not none.

00:22:09.210 --> 00:22:12.960 align:middle line:84%
Very few people in the
experiments notice this pattern.

00:22:12.960 --> 00:22:17.220 align:middle line:84%
This is deeply troubling
for John Sweller,

00:22:17.220 --> 00:22:20.030 align:middle line:84%
because John Sweller is in
a moment in math education

00:22:20.030 --> 00:22:22.920 align:middle line:84%
where people are really
big on problem solving,

00:22:22.920 --> 00:22:25.470 align:middle line:84%
really big on discovery,
really big on intuition.

00:22:25.470 --> 00:22:29.390 align:middle line:84%
And he's like, my
guys, people are not--

00:22:29.390 --> 00:22:32.370 align:middle line:84%
they're not inducing the
key principle that's here.

00:22:32.370 --> 00:22:34.740 align:middle line:84%
Like, they're doing a kind
of mathematical operation,

00:22:34.740 --> 00:22:37.160 align:middle line:84%
but they're not figuring out
the important thing here.

00:22:37.160 --> 00:22:38.800 align:middle line:84%
Like, think about
how much consequences

00:22:38.800 --> 00:22:40.790 align:middle line:90%
that has for math instruction.

00:22:40.790 --> 00:22:43.480 align:middle line:84%
They're solving the
problems correctly

00:22:43.480 --> 00:22:47.010 align:middle line:84%
without understanding some key
feature about how you solve them

00:22:47.010 --> 00:22:47.510 align:middle line:90%
correctly.

00:22:47.510 --> 00:22:50.560 align:middle line:84%
That's bad for
mathematics instruction.

00:22:50.560 --> 00:22:52.220 align:middle line:84%
And then he comes
up with this theory.

00:22:52.220 --> 00:22:54.550 align:middle line:84%
Like, why weren't
they able to do that?

00:22:54.550 --> 00:22:58.150 align:middle line:84%
And he describes it as that
people do this thing he calls

00:22:58.150 --> 00:22:59.232 align:middle line:90%
means end analysis.

00:22:59.232 --> 00:23:00.940 align:middle line:84%
They're constantly
looking where they are

00:23:00.940 --> 00:23:03.500 align:middle line:84%
and thinking about what would
get them to the next step.

00:23:03.500 --> 00:23:04.960 align:middle line:84%
If you're constantly
thinking about where

00:23:04.960 --> 00:23:07.585 align:middle line:84%
you are, where you want to be,
and what might the next step is,

00:23:07.585 --> 00:23:10.250 align:middle line:84%
those are like three things to
block up your working memory.

00:23:10.250 --> 00:23:11.380 align:middle line:84%
And so now you don't
have a whole lot

00:23:11.380 --> 00:23:12.560 align:middle line:90%
of working memory left.

00:23:12.560 --> 00:23:14.800 align:middle line:84%
And his theory was that
people, like, essentially

00:23:14.800 --> 00:23:16.967 align:middle line:84%
filled up their working
memory, their working memory

00:23:16.967 --> 00:23:17.900 align:middle line:90%
was at capacity.

00:23:17.900 --> 00:23:18.860 align:middle line:90%
It had overwhelmed.

00:23:18.860 --> 00:23:22.300 align:middle line:84%
There was too much cognitive
load, too much cognitive load

00:23:22.300 --> 00:23:23.330 align:middle line:90%
on the working memory.

00:23:23.330 --> 00:23:27.040 align:middle line:84%
And so they couldn't figure
out this underlying principle.

00:23:27.040 --> 00:23:29.950 align:middle line:84%
And so Sweller--
and then he just

00:23:29.950 --> 00:23:31.720 align:middle line:84%
gets fascinated for
the rest of his life

00:23:31.720 --> 00:23:34.303 align:middle line:84%
about thinking about what is the
human cognitive architecture?

00:23:34.303 --> 00:23:36.080 align:middle line:84%
Like, where is the
cognitive load?

00:23:36.080 --> 00:23:37.520 align:middle line:90%
Where are we overburdened?

00:23:37.520 --> 00:23:38.720 align:middle line:90%
Where are there bottlenecks?

00:23:38.720 --> 00:23:40.990 align:middle line:84%
And what would be
instructional designs that

00:23:40.990 --> 00:23:43.220 align:middle line:84%
would help us relieve
those bottlenecks,

00:23:43.220 --> 00:23:45.970 align:middle line:90%
work around those bottlenecks?

00:23:45.970 --> 00:23:51.040 align:middle line:84%
In particular, really skeptical
of this idea that you just

00:23:51.040 --> 00:23:53.560 align:middle line:84%
give a bunch of novices stuff
and they can figure it out

00:23:53.560 --> 00:23:56.690 align:middle line:84%
on their own, with enough
time and enough exploration,

00:23:56.690 --> 00:23:57.940 align:middle line:90%
things like that.

00:23:57.940 --> 00:23:59.982 align:middle line:84%
So that's the bottleneck
here that I really like.

00:23:59.982 --> 00:24:01.607 align:middle line:84%
And I really like
this picture that has

00:24:01.607 --> 00:24:02.815 align:middle line:90%
of infinite long-term memory.

00:24:02.815 --> 00:24:04.857 align:middle line:84%
I mean, in theory, you
should just go up forever,

00:24:04.857 --> 00:24:05.750 align:middle line:90%
but it's big enough.

00:24:05.750 --> 00:24:06.610 align:middle line:90%
That works.

00:24:06.610 --> 00:24:09.370 align:middle line:84%
A nice thing about
this one on the side

00:24:09.370 --> 00:24:14.130 align:middle line:84%
is it notes that where does
stuff get into working memory?

00:24:14.130 --> 00:24:15.130 align:middle line:90%
Kind of from two places.

00:24:15.130 --> 00:24:17.755 align:middle line:84%
You can pull it out of long-term
memory, you can remember stuff

00:24:17.755 --> 00:24:19.213 align:middle line:84%
and then you can
put it temporarily

00:24:19.213 --> 00:24:21.740 align:middle line:84%
in your long-term memory,
or you can attend to it.

00:24:21.740 --> 00:24:23.840 align:middle line:84%
You can see things
in your environment.

00:24:23.840 --> 00:24:24.830 align:middle line:90%
You can watch stuff.

00:24:24.830 --> 00:24:25.760 align:middle line:90%
You can read things.

00:24:25.760 --> 00:24:27.593 align:middle line:84%
You can listen to people
and talk to people.

00:24:27.593 --> 00:24:29.150 align:middle line:84%
As I'm explaining
things to you now,

00:24:29.150 --> 00:24:30.970 align:middle line:84%
you're taking these
constructs, and to the extent

00:24:30.970 --> 00:24:32.360 align:middle line:84%
that you're listening
and attending to them,

00:24:32.360 --> 00:24:34.410 align:middle line:84%
you're putting them in
your working memory.

00:24:34.410 --> 00:24:36.542 align:middle line:84%
If we mess around
with them enough,

00:24:36.542 --> 00:24:39.000 align:middle line:84%
if we get you to apply them,
think about them, if you write

00:24:39.000 --> 00:24:40.583 align:middle line:84%
them down, some other
stuff like that,

00:24:40.583 --> 00:24:43.170 align:middle line:84%
it will eventually get stored
in your long-term memory.

00:24:43.170 --> 00:24:46.860 align:middle line:84%
And then there's this nice piece
here that stuff sort of not only

00:24:46.860 --> 00:24:48.820 align:middle line:84%
goes from working memory
to long-term memory,

00:24:48.820 --> 00:24:51.370 align:middle line:84%
but things kind fall
out and get forgotten.

00:24:51.370 --> 00:24:55.080 align:middle line:84%
And yeah, I think pairing
these words together,

00:24:55.080 --> 00:24:56.970 align:middle line:84%
when stuff in
working memory gets

00:24:56.970 --> 00:24:59.620 align:middle line:84%
stored in your long-term
memory, they call that learning.

00:24:59.620 --> 00:25:01.417 align:middle line:84%
When stuff in
long-term memory gets

00:25:01.417 --> 00:25:04.000 align:middle line:84%
put into your working memory,
when you become conscious of it,

00:25:04.000 --> 00:25:05.140 align:middle line:90%
we call that remembering.

00:25:05.140 --> 00:25:07.890 align:middle line:84%
That's kind of a nice
way of summarizing that.

00:25:07.890 --> 00:25:13.530 align:middle line:84%
There are, in this
model, everything

00:25:13.530 --> 00:25:16.140 align:middle line:84%
that you learn essentially
is kind of a fact

00:25:16.140 --> 00:25:17.910 align:middle line:90%
that you remember.

00:25:17.910 --> 00:25:19.810 align:middle line:84%
There's a great quote
by Daniel Willingham,

00:25:19.810 --> 00:25:21.852 align:middle line:84%
who's a psychologist, that
"memory is the residue

00:25:21.852 --> 00:25:22.675 align:middle line:90%
of thought."

00:25:22.675 --> 00:25:24.550 align:middle line:84%
When you think about
stuff that you remember.

00:25:24.550 --> 00:25:27.150 align:middle line:84%
And in this model, people
tend to think of the things

00:25:27.150 --> 00:25:29.340 align:middle line:90%
you remember as discrete facts.

00:25:29.340 --> 00:25:31.740 align:middle line:90%
You can probably think about--

00:25:31.740 --> 00:25:34.430 align:middle line:84%
and the accumulation
of those discrete facts

00:25:34.430 --> 00:25:36.660 align:middle line:90%
is what leads to expertise.

00:25:36.660 --> 00:25:39.930 align:middle line:84%
That understanding
is, in a sense,

00:25:39.930 --> 00:25:41.913 align:middle line:84%
the accumulation of
lots of these facts.

00:25:41.913 --> 00:25:43.580 align:middle line:84%
There are probably
some domains that you

00:25:43.580 --> 00:25:47.000 align:middle line:84%
could think about where
that model feels really good

00:25:47.000 --> 00:25:47.690 align:middle line:90%
and makes sense.

00:25:47.690 --> 00:25:50.630 align:middle line:84%
Oh, man, that person is
a really good economist

00:25:50.630 --> 00:25:53.390 align:middle line:84%
because they just, like, know
a ton of stuff about economies,

00:25:53.390 --> 00:25:55.470 align:middle line:84%
and they know a ton of
facts about economics,

00:25:55.470 --> 00:25:58.796 align:middle line:84%
and they remember lots of
different calculations.

00:25:58.796 --> 00:26:02.540 align:middle line:84%
Would you say that Maya
Angelou was a great poet

00:26:02.540 --> 00:26:05.490 align:middle line:84%
because she had way more
facts than other poets do?

00:26:05.490 --> 00:26:07.670 align:middle line:84%
That seems like a
unsatisfying description

00:26:07.670 --> 00:26:09.045 align:middle line:84%
of how people
become great poets,

00:26:09.045 --> 00:26:11.503 align:middle line:84%
but something to wrestle with
and think about a little bit.

00:26:11.503 --> 00:26:13.280 align:middle line:84%
OK, you have your piece
of paper with you?

00:26:13.280 --> 00:26:16.310 align:middle line:90%
I'm going to show you a phrase.

00:26:16.310 --> 00:26:18.810 align:middle line:90%
And I want you to copy down--

00:26:18.810 --> 00:26:21.080 align:middle line:84%
I'm going to show it to
you for about 10 seconds.

00:26:21.080 --> 00:26:22.517 align:middle line:90%
So hold your pens up in the air.

00:26:22.517 --> 00:26:24.600 align:middle line:84%
You're going to look at
this thing for 10 seconds,

00:26:24.600 --> 00:26:26.160 align:middle line:84%
and then I'm going to
take it off the screen,

00:26:26.160 --> 00:26:27.452 align:middle line:90%
and I want you to copy it down.

00:26:27.452 --> 00:26:30.050 align:middle line:90%
OK, ready?

00:26:30.050 --> 00:26:31.770 align:middle line:90%
I want you to copy this down.

00:26:31.770 --> 00:26:32.670 align:middle line:90%
Look at it.

00:26:32.670 --> 00:26:34.550 align:middle line:90%
Memorize it.

00:26:34.550 --> 00:26:35.330 align:middle line:90%
Look at it.

00:26:35.330 --> 00:26:38.530 align:middle line:90%
5, 4, 3, just this row.

00:26:38.530 --> 00:26:39.780 align:middle line:90%
You don't have to do that one.

00:26:39.780 --> 00:26:40.947 align:middle line:90%
Just this row in the middle.

00:26:40.947 --> 00:26:41.890 align:middle line:90%
2, 1.

00:26:41.890 --> 00:26:42.390 align:middle line:90%
All right.

00:26:42.390 --> 00:26:43.932 align:middle line:84%
Copy down as much
of that as you can.

00:26:43.932 --> 00:26:56.540 align:middle line:90%


00:26:56.540 --> 00:26:57.480 align:middle line:90%
All right.

00:26:57.480 --> 00:27:01.550 align:middle line:90%
And 3, 2, 1.

00:27:01.550 --> 00:27:03.120 align:middle line:84%
Now, everybody hold
up what you did.

00:27:03.120 --> 00:27:04.080 align:middle line:90%
Show it to each other.

00:27:04.080 --> 00:27:05.630 align:middle line:90%
How'd you do?

00:27:05.630 --> 00:27:06.708 align:middle line:90%
Oh, man.

00:27:06.708 --> 00:27:08.250 align:middle line:84%
These are a little
bit disappointing.

00:27:08.250 --> 00:27:08.490 align:middle line:90%
All right.

00:27:08.490 --> 00:27:09.600 align:middle line:90%
Let's do a second one.

00:27:09.600 --> 00:27:10.290 align:middle line:90%
Let's do a second one.

00:27:10.290 --> 00:27:12.165 align:middle line:84%
Let's see if you can do
any better than this.

00:27:12.165 --> 00:27:13.350 align:middle line:90%
All right, I'll help you.

00:27:13.350 --> 00:27:14.970 align:middle line:84%
You might feel better
about this one.

00:27:14.970 --> 00:27:17.690 align:middle line:84%
I'm going to give you
a set of writing now

00:27:17.690 --> 00:27:19.757 align:middle line:84%
that has roughly the same
number of marks in it.

00:27:19.757 --> 00:27:22.340 align:middle line:84%
It's not the exact same number
of marks, but one of the things

00:27:22.340 --> 00:27:24.260 align:middle line:84%
we could do to calculate
how difficult this

00:27:24.260 --> 00:27:26.763 align:middle line:84%
is to just count the number
of marks on the screen.

00:27:26.763 --> 00:27:29.180 align:middle line:84%
I'm going to give you another
thing like this with roughly

00:27:29.180 --> 00:27:30.222 align:middle line:90%
the same number of marks.

00:27:30.222 --> 00:27:32.210 align:middle line:84%
Let's see if you
can do any better.

00:27:32.210 --> 00:27:35.690 align:middle line:84%
I want you to look at this and
then get ready to copy it down.

00:27:35.690 --> 00:27:37.440 align:middle line:84%
This English phrase
in the middle.

00:27:37.440 --> 00:27:38.270 align:middle line:90%
Ready?

00:27:38.270 --> 00:27:43.260 align:middle line:90%
5, 4, 3, 2, 1.

00:27:43.260 --> 00:27:44.200 align:middle line:90%
OK, copy it down.

00:27:44.200 --> 00:27:54.290 align:middle line:90%


00:27:54.290 --> 00:27:56.900 align:middle line:90%
Oh, you're finished already?

00:27:56.900 --> 00:27:58.260 align:middle line:90%
You're really good at that.

00:27:58.260 --> 00:27:58.970 align:middle line:90%
Nice.

00:27:58.970 --> 00:27:59.470 align:middle line:90%
Good.

00:27:59.470 --> 00:28:01.850 align:middle line:90%


00:28:01.850 --> 00:28:06.380 align:middle line:84%
Why were you so much
better at this one?

00:28:06.380 --> 00:28:07.400 align:middle line:90%
Yeah, yeah.

00:28:07.400 --> 00:28:10.620 align:middle line:84%
You have those squiggles
are organized into schema.

00:28:10.620 --> 00:28:13.610 align:middle line:84%
When you were very,
very young, you

00:28:13.610 --> 00:28:15.380 align:middle line:90%
observed these English letters.

00:28:15.380 --> 00:28:17.880 align:middle line:84%
Actually, if you learned English
in the middle of your life,

00:28:17.880 --> 00:28:19.463 align:middle line:84%
whenever you started
learning English,

00:28:19.463 --> 00:28:22.288 align:middle line:84%
like just now you observed
these Sanskrit letters.

00:28:22.288 --> 00:28:24.330 align:middle line:84%
For those of you who are
native English speakers,

00:28:24.330 --> 00:28:26.660 align:middle line:84%
you can't remember
the time, probably,

00:28:26.660 --> 00:28:29.005 align:middle line:84%
in which there would
be no distinction

00:28:29.005 --> 00:28:30.880 align:middle line:84%
between English letters
and Sanskrit letters.

00:28:30.880 --> 00:28:33.802 align:middle line:84%
So when you were copying
down Sanskrit, none of this

00:28:33.802 --> 00:28:34.760 align:middle line:90%
has any meaning to you.

00:28:34.760 --> 00:28:37.540 align:middle line:84%
So you're like, literally
memorizing the order

00:28:37.540 --> 00:28:39.430 align:middle line:90%
in which these lines appear.

00:28:39.430 --> 00:28:42.245 align:middle line:84%
Which is really hard because
there are lots of those lines.

00:28:42.245 --> 00:28:43.870 align:middle line:84%
There's about the
same number of lines,

00:28:43.870 --> 00:28:45.380 align:middle line:84%
I haven't actually measured
this, but it's close.

00:28:45.380 --> 00:28:47.110 align:middle line:84%
Take for granted
that it's close.

00:28:47.110 --> 00:28:52.300 align:middle line:84%
But you know that that two
combinations of line is an L.

00:28:52.300 --> 00:28:56.220 align:middle line:84%
And you know that an L, an
E, and a T is a word, "let,"

00:28:56.220 --> 00:28:57.470 align:middle line:90%
that has some kind of meaning.

00:28:57.470 --> 00:28:59.780 align:middle line:84%
And you can actually, "let
the entire world be happy,"

00:28:59.780 --> 00:29:02.508 align:middle line:84%
even bundle that into a
phrase that you can memorize

00:29:02.508 --> 00:29:03.050 align:middle line:90%
in your head.

00:29:03.050 --> 00:29:05.770 align:middle line:84%
And so copying down
that number of things

00:29:05.770 --> 00:29:07.810 align:middle line:84%
is trivial because
this is organized

00:29:07.810 --> 00:29:12.070 align:middle line:84%
in your head in, like, a
tightly bundled schema in a way

00:29:12.070 --> 00:29:13.870 align:middle line:84%
that you have no schema
for understanding

00:29:13.870 --> 00:29:14.570 align:middle line:90%
these kinds of things.

00:29:14.570 --> 00:29:15.490 align:middle line:84%
Probably like the
first thing you

00:29:15.490 --> 00:29:17.030 align:middle line:84%
started putting in your
schema was like, well,

00:29:17.030 --> 00:29:18.380 align:middle line:84%
there's a line that
goes across there,

00:29:18.380 --> 00:29:20.120 align:middle line:84%
and then a bunch of things
that drop down after that.

00:29:20.120 --> 00:29:21.080 align:middle line:84%
I don't know anything
about Sanskrit,

00:29:21.080 --> 00:29:21.800 align:middle line:84%
so I don't know
anything about it.

00:29:21.800 --> 00:29:24.175 align:middle line:84%
Does that give you, is that
an illustration of how schema

00:29:24.175 --> 00:29:25.660 align:middle line:90%
operates in your mind?

00:29:25.660 --> 00:29:28.920 align:middle line:84%
This completely overwhelms
your working memory efforts

00:29:28.920 --> 00:29:31.860 align:middle line:84%
because you have to
recall the orientation

00:29:31.860 --> 00:29:34.650 align:middle line:84%
of each individual line
to be able to copy it.

00:29:34.650 --> 00:29:37.770 align:middle line:84%
This does not at all do that
because you've already bundled

00:29:37.770 --> 00:29:39.390 align:middle line:90%
those lines into schema.

00:29:39.390 --> 00:29:41.940 align:middle line:84%
Another famous example, which
I think is written about,

00:29:41.940 --> 00:29:44.040 align:middle line:90%
is that chess masters.

00:29:44.040 --> 00:29:47.520 align:middle line:84%
When chess masters
look at a chess board,

00:29:47.520 --> 00:29:50.280 align:middle line:84%
like, all of the pieces,
they can remember easily

00:29:50.280 --> 00:29:52.330 align:middle line:84%
all of the pieces in
their arrangements.

00:29:52.330 --> 00:29:54.430 align:middle line:84%
Because if you know nothing
about chess, like me,

00:29:54.430 --> 00:29:56.550 align:middle line:84%
you have to be
like, OK, the pawn

00:29:56.550 --> 00:30:00.360 align:middle line:84%
is in the second
row, black square.

00:30:00.360 --> 00:30:03.280 align:middle line:84%
And the king is in the
first row, white square.

00:30:03.280 --> 00:30:05.287 align:middle line:84%
And the bishop kind
of moved over here.

00:30:05.287 --> 00:30:07.120 align:middle line:84%
But that's not what
chess masters are doing.

00:30:07.120 --> 00:30:11.310 align:middle line:84%
Chess masters are going like,
oh, that's the Turkish Armada

00:30:11.310 --> 00:30:12.670 align:middle line:90%
Gambit or something like that.

00:30:12.670 --> 00:30:14.640 align:middle line:84%
And they've bundled
all of those positions

00:30:14.640 --> 00:30:16.000 align:middle line:90%
together into one thing.

00:30:16.000 --> 00:30:19.020 align:middle line:84%
So even though we can only
attend to three to five things

00:30:19.020 --> 00:30:21.630 align:middle line:84%
at any given time, those
three to five things

00:30:21.630 --> 00:30:23.305 align:middle line:90%
can be enormously complex.

00:30:23.305 --> 00:30:25.680 align:middle line:84%
And that's what lets us think
about complex and difficult

00:30:25.680 --> 00:30:26.290 align:middle line:90%
things.

00:30:26.290 --> 00:30:30.710 align:middle line:84%
OK, that piece of schema
makes sense for you?

00:30:30.710 --> 00:30:31.210 align:middle line:90%
All right.

00:30:31.210 --> 00:30:35.010 align:middle line:84%
So these are some pretty
good fundamental models

00:30:35.010 --> 00:30:37.270 align:middle line:84%
of human cognitive
architecture kinds of things.

00:30:37.270 --> 00:30:39.240 align:middle line:84%
Anybody want to
ask any questions

00:30:39.240 --> 00:30:42.490 align:middle line:84%
or make any observations about
some of these key elements?

00:30:42.490 --> 00:30:44.280 align:middle line:90%
How our brains work?

00:30:44.280 --> 00:30:46.410 align:middle line:84%
AUDIENCE: I have a
similar thought to that.

00:30:46.410 --> 00:30:48.840 align:middle line:84%
There's a weird alphabet
that's just, like,

00:30:48.840 --> 00:30:51.760 align:middle line:84%
alternative to writing
in Latin, in English.

00:30:51.760 --> 00:30:55.230 align:middle line:84%
So it's just one-to-one mapping
between English or Latin

00:30:55.230 --> 00:30:57.460 align:middle line:90%
characters to that alphabet.

00:30:57.460 --> 00:31:00.130 align:middle line:84%
And as a fun thing, I
just wanted to learn it.

00:31:00.130 --> 00:31:02.770 align:middle line:84%
So I did all of that,
like, remember the mapping?

00:31:02.770 --> 00:31:04.350 align:middle line:84%
And even though,
hey, if you show me

00:31:04.350 --> 00:31:06.820 align:middle line:84%
just like a glimpse of
it, yes, I can tell you.

00:31:06.820 --> 00:31:09.360 align:middle line:84%
So it's not, like, a
process of how long

00:31:09.360 --> 00:31:11.250 align:middle line:84%
will it take me to
remember, but it

00:31:11.250 --> 00:31:13.530 align:middle line:84%
was very hard to actually
transcribe things

00:31:13.530 --> 00:31:16.240 align:middle line:84%
fast from one thing
to what I know it is.

00:31:16.240 --> 00:31:19.790 align:middle line:84%
But also, as I did that
more, I started to--

00:31:19.790 --> 00:31:23.490 align:middle line:84%
I started kind of like to
remember how I learned English

00:31:23.490 --> 00:31:26.920 align:middle line:84%
as well with some of the
squiggles, for example,

00:31:26.920 --> 00:31:29.240 align:middle line:84%
at the end like
that says I-N-G, I

00:31:29.240 --> 00:31:31.590 align:middle line:84%
started kind of
internalizing that.

00:31:31.590 --> 00:31:35.090 align:middle line:84%
So whenever I saw like that
kind of structure of whatever

00:31:35.090 --> 00:31:37.740 align:middle line:84%
shape these characters,
I kind of, oh, yeah,

00:31:37.740 --> 00:31:40.790 align:middle line:84%
I know that's I-N-G. I didn't
have to think individually

00:31:40.790 --> 00:31:41.790 align:middle line:90%
about each character.

00:31:41.790 --> 00:31:44.420 align:middle line:84%
I started to chunk
them more and more

00:31:44.420 --> 00:31:48.710 align:middle line:84%
into specific components that
made transcribing things much

00:31:48.710 --> 00:31:49.230 align:middle line:90%
easier.

00:31:49.230 --> 00:31:49.760 align:middle line:90%
JUSTIN REICH: Yeah, yeah.

00:31:49.760 --> 00:31:51.770 align:middle line:84%
I-N-G is a great example
of what it probably

00:31:51.770 --> 00:31:55.670 align:middle line:84%
requires five different line
strokes or something like that.

00:31:55.670 --> 00:31:58.382 align:middle line:84%
Line, dot, 1-N-G,
something like that.

00:31:58.382 --> 00:32:00.215 align:middle line:84%
And then eventually you
bundle it as an ING,

00:32:00.215 --> 00:32:02.153 align:middle line:84%
and just memorize those
characters together.

00:32:02.153 --> 00:32:04.070 align:middle line:84%
And then eventually you
realize it's a gerund.

00:32:04.070 --> 00:32:05.810 align:middle line:84%
And it has a particular
kind of modification

00:32:05.810 --> 00:32:07.020 align:middle line:90%
to verbs and things like that.

00:32:07.020 --> 00:32:08.810 align:middle line:84%
And you're not even thinking
about it now when you look

00:32:08.810 --> 00:32:11.480 align:middle line:84%
at the word "jumping," but
you went through a process

00:32:11.480 --> 00:32:13.890 align:middle line:84%
of learning all of
those kinds of things.

00:32:13.890 --> 00:32:15.170 align:middle line:90%
OK, good.

00:32:15.170 --> 00:32:19.620 align:middle line:84%
So based on these models of
human cognitive architecture,

00:32:19.620 --> 00:32:23.900 align:middle line:84%
what are some of the key
instructional consequences

00:32:23.900 --> 00:32:25.180 align:middle line:90%
that come out of this model?

00:32:25.180 --> 00:32:31.120 align:middle line:90%


00:32:31.120 --> 00:32:33.440 align:middle line:84%
AUDIENCE: If you overload
the working memory,

00:32:33.440 --> 00:32:35.530 align:middle line:84%
students can't store the
necessary information

00:32:35.530 --> 00:32:36.620 align:middle line:90%
in the long-term memory.

00:32:36.620 --> 00:32:37.420 align:middle line:90%
JUSTIN REICH: Good.

00:32:37.420 --> 00:32:40.000 align:middle line:84%
So what teachers should
be thinking about,

00:32:40.000 --> 00:32:42.530 align:middle line:84%
in this model, which is
thinking about all the time,

00:32:42.530 --> 00:32:47.290 align:middle line:84%
is how much cognitive load,
how much stuff is in people is,

00:32:47.290 --> 00:32:50.170 align:middle line:84%
like, could potentially be
overwhelming people's working

00:32:50.170 --> 00:32:51.340 align:middle line:90%
memory?

00:32:51.340 --> 00:32:54.880 align:middle line:84%
What are some ways to
conduct instruction

00:32:54.880 --> 00:32:58.953 align:middle line:84%
that respects this
bottleneck of working memory?

00:32:58.953 --> 00:33:00.370 align:middle line:84%
What are some
effective strategies

00:33:00.370 --> 00:33:01.583 align:middle line:90%
for dealing with that?

00:33:01.583 --> 00:33:03.250 align:middle line:84%
AUDIENCE: Guided
practice is one of them

00:33:03.250 --> 00:33:06.070 align:middle line:84%
that I saw, where it's
like a completion exercise.

00:33:06.070 --> 00:33:11.110 align:middle line:84%
Because then it's not completely
novel to you and you have more--

00:33:11.110 --> 00:33:14.710 align:middle line:84%
you can basically
abstract more ideas

00:33:14.710 --> 00:33:16.720 align:middle line:84%
into schemas that
are kind of bigger

00:33:16.720 --> 00:33:18.800 align:middle line:84%
and then execute
them much faster,

00:33:18.800 --> 00:33:21.598 align:middle line:84%
instead of just focusing on the
smaller aspects of that problem.

00:33:21.598 --> 00:33:22.390 align:middle line:90%
JUSTIN REICH: Good.

00:33:22.390 --> 00:33:25.840 align:middle line:84%
So, guided, one version
of guided practice.

00:33:25.840 --> 00:33:29.200 align:middle line:84%
Probably one of the most
well-known phenomenon

00:33:29.200 --> 00:33:31.960 align:middle line:84%
in education psychology is
called the worked example

00:33:31.960 --> 00:33:33.310 align:middle line:90%
effect.

00:33:33.310 --> 00:33:36.850 align:middle line:84%
And the idea is
if you show people

00:33:36.850 --> 00:33:39.830 align:middle line:84%
how to solve a
problem, for novices,

00:33:39.830 --> 00:33:42.280 align:middle line:84%
that is a more effective way
to learn it, than have them

00:33:42.280 --> 00:33:44.260 align:middle line:90%
just try to solve the problem.

00:33:44.260 --> 00:33:46.720 align:middle line:84%
That a pretty typical
instructional sequence

00:33:46.720 --> 00:33:49.400 align:middle line:84%
that works pretty well is
first you do a worked example.

00:33:49.400 --> 00:33:52.130 align:middle line:84%
You say, this is how you
solve this kind of problem.

00:33:52.130 --> 00:33:55.960 align:middle line:84%
Then you would take
parts of a problem

00:33:55.960 --> 00:33:59.020 align:middle line:84%
and have students
just do those parts.

00:33:59.020 --> 00:34:01.270 align:middle line:84%
That might be a kind of
guided practice kind of thing.

00:34:01.270 --> 00:34:03.880 align:middle line:84%
OK, you just factored
this polynomial

00:34:03.880 --> 00:34:06.073 align:middle line:90%
and it took you four steps.

00:34:06.073 --> 00:34:07.990 align:middle line:84%
And the first thing I
did is I just showed you

00:34:07.990 --> 00:34:08.840 align:middle line:90%
those four steps.

00:34:08.840 --> 00:34:10.000 align:middle line:84%
The next thing
I'm going to do is

00:34:10.000 --> 00:34:11.750 align:middle line:84%
I'm going to show you
three of those steps

00:34:11.750 --> 00:34:13.510 align:middle line:90%
and have you do one of them.

00:34:13.510 --> 00:34:15.310 align:middle line:84%
I just showed you
a canonical way

00:34:15.310 --> 00:34:17.330 align:middle line:84%
to write an
introduction paragraph.

00:34:17.330 --> 00:34:20.360 align:middle line:84%
Here is an introduction
paragraph that's 3/4 written.

00:34:20.360 --> 00:34:22.449 align:middle line:84%
It doesn't really
have a good hook.

00:34:22.449 --> 00:34:25.290 align:middle line:84%
Write a sentence that would fit
in this paragraph that would be

00:34:25.290 --> 00:34:26.590 align:middle line:90%
a hook that engaged the reader.

00:34:26.590 --> 00:34:27.420 align:middle line:84%
You don't have to
do everything else

00:34:27.420 --> 00:34:28.510 align:middle line:90%
that an introduction has to do.

00:34:28.510 --> 00:34:30.900 align:middle line:84%
You don't have to introduce
the topic because we've already

00:34:30.900 --> 00:34:31.420 align:middle line:90%
done that.

00:34:31.420 --> 00:34:33.018 align:middle line:84%
You don't have to
lay out an argument.

00:34:33.018 --> 00:34:34.810 align:middle line:84%
You don't have to
establish your expertise.

00:34:34.810 --> 00:34:36.280 align:middle line:90%
Just do this one thing.

00:34:36.280 --> 00:34:38.440 align:middle line:84%
And then you can
imagine, all right,

00:34:38.440 --> 00:34:40.497 align:middle line:84%
instead of if it's
a four step process,

00:34:40.497 --> 00:34:42.330 align:middle line:84%
then you'll do two of
the steps, then you'll

00:34:42.330 --> 00:34:44.205 align:middle line:84%
do three of the steps,
then eventually you'll

00:34:44.205 --> 00:34:45.150 align:middle line:90%
do all of the steps.

00:34:45.150 --> 00:34:47.520 align:middle line:84%
And you might alternate
which of those steps,

00:34:47.520 --> 00:34:50.460 align:middle line:84%
do a bunch of one step,
missing problems where

00:34:50.460 --> 00:34:53.040 align:middle line:84%
the one step that's missing
is different phases in there.

00:34:53.040 --> 00:34:55.179 align:middle line:84%
But we're going to
decrease the scaffolding.

00:34:55.179 --> 00:34:59.130 align:middle line:84%
And the idea is that you can get
people in their working memory

00:34:59.130 --> 00:35:01.290 align:middle line:84%
just to attend to that
particular thing they're

00:35:01.290 --> 00:35:04.960 align:middle line:84%
trying to solve, to store that
thing in the long-term memory.

00:35:04.960 --> 00:35:07.200 align:middle line:84%
And as they have that more
in their long-term memory

00:35:07.200 --> 00:35:08.658 align:middle line:84%
and access it, as
they start seeing

00:35:08.658 --> 00:35:11.280 align:middle line:84%
the relationship
between different steps,

00:35:11.280 --> 00:35:13.740 align:middle line:84%
as their schema for an
introduction is not,

00:35:13.740 --> 00:35:14.530 align:middle line:90%
like, wait, what?

00:35:14.530 --> 00:35:18.480 align:middle line:84%
It's the hook and then the
thesis, and then my expertise?

00:35:18.480 --> 00:35:20.910 align:middle line:84%
Is that you start, like,
recognizing those things

00:35:20.910 --> 00:35:21.880 align:middle line:90%
as an introduction.

00:35:21.880 --> 00:35:27.660 align:middle line:84%
And that takes up less space
within your working memory.

00:35:27.660 --> 00:35:29.728 align:middle line:84%
So they call this the
completion problem effects.

00:35:29.728 --> 00:35:32.020 align:middle line:84%
Replace conventional problems
with completion problems,

00:35:32.020 --> 00:35:33.840 align:middle line:84%
providing a partial
solution that must

00:35:33.840 --> 00:35:36.330 align:middle line:90%
be completed by the learners.

00:35:36.330 --> 00:35:40.020 align:middle line:84%
This list came out
of "Sweller, 1998."

00:35:40.020 --> 00:35:44.490 align:middle line:84%
All of these things get
constantly tested and improved.

00:35:44.490 --> 00:35:47.370 align:middle line:84%
So one thing that
people realized

00:35:47.370 --> 00:35:49.540 align:middle line:84%
is in effect, which I
think is not on this list,

00:35:49.540 --> 00:35:51.130 align:middle line:84%
called the expert
reversal effect,

00:35:51.130 --> 00:35:53.672 align:middle line:84%
but I think it shows up in some
of the readings that you did,

00:35:53.672 --> 00:35:56.700 align:middle line:84%
which is that for novices,
the worked example

00:35:56.700 --> 00:35:58.740 align:middle line:84%
effect seems, to generally
speaking, hold true.

00:35:58.740 --> 00:36:01.920 align:middle line:84%
For experts in a domain,
open-ended problem solving does

00:36:01.920 --> 00:36:06.520 align:middle line:84%
seem to work better than just
going through worked examples.

00:36:06.520 --> 00:36:08.790 align:middle line:84%
So once people get
good enough at a thing,

00:36:08.790 --> 00:36:11.680 align:middle line:84%
it's a good idea to let them
solve open-ended problems,

00:36:11.680 --> 00:36:14.840 align:middle line:84%
presumably because their working
memory is not overwhelmed.

00:36:14.840 --> 00:36:16.590 align:middle line:84%
They're not overwhelmed
by cognitive load,

00:36:16.590 --> 00:36:18.100 align:middle line:84%
figuring out what they're
supposed to do next.

00:36:18.100 --> 00:36:20.468 align:middle line:84%
And so it's a chance for
them to refine their ability

00:36:20.468 --> 00:36:22.010 align:middle line:84%
to apply things in
different domains,

00:36:22.010 --> 00:36:23.843 align:middle line:84%
to get better particular
portions of things,

00:36:23.843 --> 00:36:24.530 align:middle line:90%
stuff like that.

00:36:24.530 --> 00:36:26.630 align:middle line:84%
Now, what is a novice
and what is an expert?

00:36:26.630 --> 00:36:28.765 align:middle line:84%
Like, that is different
in every domain.

00:36:28.765 --> 00:36:30.140 align:middle line:84%
And you'd have
to-- it would have

00:36:30.140 --> 00:36:32.090 align:middle line:84%
to be-- it'll be different
in nuclear engineering

00:36:32.090 --> 00:36:33.923 align:middle line:84%
than it is in poetry
or whatever else it is.

00:36:33.923 --> 00:36:37.700 align:middle line:84%
But generally speaking, these
are things that seem to hold.

00:36:37.700 --> 00:36:41.180 align:middle line:84%
How do these cognitive
load theorists

00:36:41.180 --> 00:36:43.970 align:middle line:90%
conduct their research?

00:36:43.970 --> 00:36:46.050 align:middle line:84%
If you're a cognitive
load theorist,

00:36:46.050 --> 00:36:50.390 align:middle line:84%
how do you establish that
an effect like this is true?

00:36:50.390 --> 00:36:53.712 align:middle line:84%
What kind of research
methods would you use?

00:36:53.712 --> 00:36:55.670 align:middle line:84%
AUDIENCE: Well, you could
do one where you just

00:36:55.670 --> 00:36:57.390 align:middle line:90%
directly ask the person.

00:36:57.390 --> 00:37:00.740 align:middle line:84%
So they have their own,
just, understanding

00:37:00.740 --> 00:37:03.140 align:middle line:90%
of what they're able to handle.

00:37:03.140 --> 00:37:06.170 align:middle line:84%
Or you could set
up the problem so

00:37:06.170 --> 00:37:08.240 align:middle line:84%
that you can just see
directly from the work

00:37:08.240 --> 00:37:11.390 align:middle line:84%
that they're able to do,
like, how well they're

00:37:11.390 --> 00:37:13.298 align:middle line:90%
cognitive load is being held.

00:37:13.298 --> 00:37:14.090 align:middle line:90%
JUSTIN REICH: Good.

00:37:14.090 --> 00:37:16.250 align:middle line:84%
So one question that
cognitive load theorists

00:37:16.250 --> 00:37:17.960 align:middle line:84%
will be interested
in is like, when

00:37:17.960 --> 00:37:19.878 align:middle line:84%
do you feel overburdened
by cognitive load?

00:37:19.878 --> 00:37:21.920 align:middle line:84%
It's kind of interesting
that people are actually

00:37:21.920 --> 00:37:25.070 align:middle line:84%
quite lousy at
self-assessing their learning

00:37:25.070 --> 00:37:26.427 align:middle line:90%
in all kinds of ways.

00:37:26.427 --> 00:37:28.010 align:middle line:84%
There's a classic
study, I don't think

00:37:28.010 --> 00:37:31.490 align:middle line:84%
we'll read about it, where
people assess their baseball

00:37:31.490 --> 00:37:34.340 align:middle line:84%
knowledge and then take
a test about baseball.

00:37:34.340 --> 00:37:37.940 align:middle line:84%
And the results are, like, the
most perfectly spread scatter

00:37:37.940 --> 00:37:38.910 align:middle line:90%
plot you've ever seen.

00:37:38.910 --> 00:37:40.400 align:middle line:84%
There's basically
no relationship

00:37:40.400 --> 00:37:41.900 align:middle line:84%
at all between your
self-assessment

00:37:41.900 --> 00:37:44.150 align:middle line:84%
of your knowledge and your
actual knowledge of things.

00:37:44.150 --> 00:37:46.850 align:middle line:84%
So this is one of the real
challenges in cognitive load

00:37:46.850 --> 00:37:50.190 align:middle line:84%
theory is that we're not really
aware of our own cognitive load.

00:37:50.190 --> 00:37:51.620 align:middle line:84%
We're not really
aware when we're

00:37:51.620 --> 00:37:54.680 align:middle line:84%
encountering desirable
difficulty, which is giving us

00:37:54.680 --> 00:37:58.340 align:middle line:84%
a good amount of challenge,
versus undesirable, where

00:37:58.340 --> 00:38:00.897 align:middle line:84%
our cognitive load is-- our
working memory is overwhelmed

00:38:00.897 --> 00:38:01.980 align:middle line:90%
and we can't feel a thing.

00:38:01.980 --> 00:38:05.240 align:middle line:84%
So people have tried to
do work along those lines.

00:38:05.240 --> 00:38:07.460 align:middle line:84%
What are some other ways
of assessing whether or not

00:38:07.460 --> 00:38:08.960 align:middle line:84%
an instructional
effect is better

00:38:08.960 --> 00:38:12.180 align:middle line:84%
than another
instructional effect?

00:38:12.180 --> 00:38:12.680 align:middle line:90%
Yeah.

00:38:12.680 --> 00:38:15.860 align:middle line:84%
AUDIENCE: I think in
one of the papers that

00:38:15.860 --> 00:38:19.610 align:middle line:84%
talked about
physiologically measuring

00:38:19.610 --> 00:38:22.580 align:middle line:84%
the cognitive load just by using
heart rate and things like that.

00:38:22.580 --> 00:38:24.830 align:middle line:84%
JUSTIN REICH: Skin conductance,
other kinds of things.

00:38:24.830 --> 00:38:26.470 align:middle line:84%
AUDIENCE: It also
said that this was

00:38:26.470 --> 00:38:29.488 align:middle line:84%
very unreliable as a measure
of cognitive load as well.

00:38:29.488 --> 00:38:30.280 align:middle line:90%
JUSTIN REICH: Yeah.

00:38:30.280 --> 00:38:30.780 align:middle line:90%
Yeah.

00:38:30.780 --> 00:38:32.290 align:middle line:90%
Yeah.

00:38:32.290 --> 00:38:34.007 align:middle line:84%
Knowing when people
are working memory--

00:38:34.007 --> 00:38:35.090 align:middle line:90%
it's kind of funny, right?

00:38:35.090 --> 00:38:36.632 align:middle line:84%
This is like the
heart of the theory.

00:38:36.632 --> 00:38:39.740 align:middle line:84%
How do we tell when you're
working memory is overwhelmed.

00:38:39.740 --> 00:38:42.040 align:middle line:84%
And it's pretty hard
actually to tell.

00:38:42.040 --> 00:38:44.235 align:middle line:84%
We don't have a great
grasp of how many--

00:38:44.235 --> 00:38:45.610 align:middle line:84%
there are some
kinds of exercises

00:38:45.610 --> 00:38:49.120 align:middle line:84%
we do, which especially
really simple problem solving

00:38:49.120 --> 00:38:51.873 align:middle line:84%
or puzzle kinds of things, where
you can really tightly control

00:38:51.873 --> 00:38:53.540 align:middle line:84%
how many elements are
in working memory.

00:38:53.540 --> 00:38:55.700 align:middle line:84%
But if you're like, actually
trying to teach something,

00:38:55.700 --> 00:38:58.200 align:middle line:84%
someone in the real world, like
the Krebs cycle or something

00:38:58.200 --> 00:39:00.770 align:middle line:84%
like that, how many things are
in working memory at a time.

00:39:00.770 --> 00:39:02.540 align:middle line:90%
It's a lot harder to check.

00:39:02.540 --> 00:39:05.080 align:middle line:84%
So a pretty common set of
methods that they'll use

00:39:05.080 --> 00:39:07.750 align:middle line:84%
are experimental
designs in which

00:39:07.750 --> 00:39:09.890 align:middle line:84%
you have one group
be a control group,

00:39:09.890 --> 00:39:12.730 align:middle line:84%
and then you have another
group be an experimental group.

00:39:12.730 --> 00:39:15.600 align:middle line:84%
You measure people's
skill at some--

00:39:15.600 --> 00:39:17.350 align:middle line:84%
in both groups, you
measure people's skill

00:39:17.350 --> 00:39:19.030 align:middle line:90%
in some kind of baseline.

00:39:19.030 --> 00:39:23.260 align:middle line:84%
So you say, we're
going to design--

00:39:23.260 --> 00:39:26.950 align:middle line:84%
we're going to go into a math,
a school where they typically

00:39:26.950 --> 00:39:28.670 align:middle line:84%
use a lot of open-ended
problem solving.

00:39:28.670 --> 00:39:32.560 align:middle line:84%
And we're going to instead
have the teacher just do stuff

00:39:32.560 --> 00:39:33.938 align:middle line:90%
using worked examples.

00:39:33.938 --> 00:39:35.980 align:middle line:84%
And we're going to see
whether the worked example

00:39:35.980 --> 00:39:38.420 align:middle line:84%
condition is better than the
business as usual condition.

00:39:38.420 --> 00:39:41.230 align:middle line:84%
And in fact, to make
sure that there's

00:39:41.230 --> 00:39:43.450 align:middle line:84%
no difference
between the kids who

00:39:43.450 --> 00:39:46.580 align:middle line:84%
get the regular condition, the
business as usual condition,

00:39:46.580 --> 00:39:48.470 align:middle line:84%
the kids who get the
work example condition,

00:39:48.470 --> 00:39:50.360 align:middle line:84%
we're going to randomly
assign the teachers.

00:39:50.360 --> 00:39:52.870 align:middle line:84%
We'll get 20, or 30,
or 40, or 50 teachers

00:39:52.870 --> 00:39:53.930 align:middle line:90%
sign up for the study.

00:39:53.930 --> 00:39:55.690 align:middle line:84%
Half of them will do the
old thing, half of them

00:39:55.690 --> 00:39:56.607 align:middle line:90%
will do the new thing.

00:39:56.607 --> 00:39:59.270 align:middle line:84%
We'll measure all the
kids' skill at baseline,

00:39:59.270 --> 00:40:03.690 align:middle line:84%
and then we will measure
the skill from the groups

00:40:03.690 --> 00:40:04.190 align:middle line:90%
afterwards.

00:40:04.190 --> 00:40:11.050 align:middle line:84%
So if this kind of model
works, like, the two groups

00:40:11.050 --> 00:40:12.895 align:middle line:84%
at baseline, in
any group there's

00:40:12.895 --> 00:40:14.020 align:middle line:90%
going to be a distribution.

00:40:14.020 --> 00:40:16.750 align:middle line:84%
We're going to teach you how
to factor polynomials, or add

00:40:16.750 --> 00:40:19.480 align:middle line:84%
single digits, or
conjugate Spanish verbs,

00:40:19.480 --> 00:40:20.230 align:middle line:90%
or whatever it is.

00:40:20.230 --> 00:40:21.762 align:middle line:84%
But in any given
classroom, there

00:40:21.762 --> 00:40:23.470 align:middle line:84%
should be a distribution
of skill, right?

00:40:23.470 --> 00:40:24.730 align:middle line:84%
Some people are having
a hard time with it,

00:40:24.730 --> 00:40:25.980 align:middle line:84%
most people are doing
fine, and some people

00:40:25.980 --> 00:40:27.330 align:middle line:90%
are doing really good.

00:40:27.330 --> 00:40:29.740 align:middle line:84%
At baseline, these two groups
should be identical, right?

00:40:29.740 --> 00:40:31.490 align:middle line:84%
Because we randomly
assigned your teachers

00:40:31.490 --> 00:40:34.240 align:middle line:84%
to two different groups, and
random assignment is magical.

00:40:34.240 --> 00:40:36.520 align:middle line:84%
And like every once in a
while, it doesn't work,

00:40:36.520 --> 00:40:39.145 align:middle line:84%
but for the most part, like, the
two groups should be the same.

00:40:39.145 --> 00:40:42.480 align:middle line:84%
What should happen
afterwards is that--

00:40:42.480 --> 00:40:45.690 align:middle line:84%
now here's something that makes
learning research really hard.

00:40:45.690 --> 00:40:47.230 align:middle line:84%
What kind of
learning will-- like,

00:40:47.230 --> 00:40:50.680 align:middle line:84%
learning will happen in
both conditions, right?

00:40:50.680 --> 00:40:54.360 align:middle line:84%
Almost everything we do
makes people learn somewhat.

00:40:54.360 --> 00:40:56.830 align:middle line:84%
Like, there are very few things
that we do that we're like,

00:40:56.830 --> 00:40:58.390 align:middle line:84%
boy, that was
completely ineffective.

00:40:58.390 --> 00:41:00.910 align:middle line:84%
Even if we're not using the
most optimal techniques,

00:41:00.910 --> 00:41:02.200 align:middle line:90%
students still learn stuff.

00:41:02.200 --> 00:41:05.160 align:middle line:84%
So in the control condition,
let's call orange control,

00:41:05.160 --> 00:41:09.732 align:middle line:84%
they're still at Time 2 going
to be improvement, T1, T2.

00:41:09.732 --> 00:41:11.440 align:middle line:84%
You're going to see
of distribution move.

00:41:11.440 --> 00:41:14.290 align:middle line:84%
What we want to see, though,
is something like this.

00:41:14.290 --> 00:41:20.360 align:middle line:84%
Like, oh, we learned more in
the experimental condition,

00:41:20.360 --> 00:41:22.490 align:middle line:90%
when we went from T1 to T2.

00:41:22.490 --> 00:41:24.842 align:middle line:84%
And in particular,
we're interested in--

00:41:24.842 --> 00:41:26.550 align:middle line:84%
the way cognitive load
theorists do this,

00:41:26.550 --> 00:41:28.383 align:middle line:84%
they're particularly
interested in averages.

00:41:28.383 --> 00:41:30.372 align:middle line:84%
Like, in general,
are kids more or less

00:41:30.372 --> 00:41:31.580 align:middle line:90%
better off having to do this?

00:41:31.580 --> 00:41:33.840 align:middle line:84%
Like, this has 10 teachers,
each of whom has 20 kids.

00:41:33.840 --> 00:41:34.590 align:middle line:90%
That's 200 kids.

00:41:34.590 --> 00:41:35.660 align:middle line:90%
This has 200 kids.

00:41:35.660 --> 00:41:38.960 align:middle line:84%
Is one group better
than the other?

00:41:38.960 --> 00:41:40.760 align:middle line:84%
Sometimes you can do
some of this stuff.

00:41:40.760 --> 00:41:42.427 align:middle line:84%
Some of this stuff
happens in the field.

00:41:42.427 --> 00:41:45.290 align:middle line:84%
Some of this stuff happens in
laboratory kinds of experiments.

00:41:45.290 --> 00:41:49.100 align:middle line:90%
One, let's see if--

00:41:49.100 --> 00:41:52.070 align:middle line:84%
so, this is a modality
effect, which is kind of cool.

00:41:52.070 --> 00:41:55.220 align:middle line:84%
Replace a written explanatory
text and another source

00:41:55.220 --> 00:41:57.290 align:middle line:84%
of visual information,
such as a diagram,

00:41:57.290 --> 00:42:00.890 align:middle line:84%
with a spoken explanatory
text and a visual source

00:42:00.890 --> 00:42:01.590 align:middle line:90%
of information.

00:42:01.590 --> 00:42:03.470 align:middle line:90%
It turns out, again, we don't--

00:42:03.470 --> 00:42:05.840 align:middle line:84%
I would say we don't
totally understand this,

00:42:05.840 --> 00:42:08.210 align:middle line:84%
that your working
memory seems to handle

00:42:08.210 --> 00:42:10.410 align:middle line:84%
visual and auditory
inputs differently.

00:42:10.410 --> 00:42:12.470 align:middle line:84%
And so you have a little
bit more working memory

00:42:12.470 --> 00:42:14.480 align:middle line:84%
to work with if you're
hearing stuff and looking

00:42:14.480 --> 00:42:17.640 align:middle line:84%
at stuff than if you're reading
stuff and looking at stuff.

00:42:17.640 --> 00:42:18.410 align:middle line:90%
Why?

00:42:18.410 --> 00:42:19.710 align:middle line:90%
Nobody knows.

00:42:19.710 --> 00:42:20.570 align:middle line:90%
Evolution?

00:42:20.570 --> 00:42:21.360 align:middle line:90%
Who knows?

00:42:21.360 --> 00:42:22.730 align:middle line:90%
But it's kind of cool, right?

00:42:22.730 --> 00:42:25.880 align:middle line:84%
So how might you study
something like that?

00:42:25.880 --> 00:42:28.610 align:middle line:84%
You take a textbook and you
bring a bunch of students

00:42:28.610 --> 00:42:29.960 align:middle line:90%
into the lab.

00:42:29.960 --> 00:42:32.820 align:middle line:84%
And you have them do some kind
of textbook learning exercise.

00:42:32.820 --> 00:42:34.533 align:middle line:90%
You measure them beforehand.

00:42:34.533 --> 00:42:35.700 align:middle line:90%
You measure them afterwards.

00:42:35.700 --> 00:42:37.533 align:middle line:84%
For some random half
of the students who

00:42:37.533 --> 00:42:39.200 align:middle line:84%
are walking into your
lab, they probably

00:42:39.200 --> 00:42:40.950 align:middle line:84%
are taking a
freshman psych class,

00:42:40.950 --> 00:42:43.220 align:middle line:84%
and they have to do this for
extra credit or something

00:42:43.220 --> 00:42:44.090 align:middle line:90%
like that.

00:42:44.090 --> 00:42:47.030 align:middle line:84%
And you give them the, like,
auditory enhanced version

00:42:47.030 --> 00:42:47.640 align:middle line:90%
of this.

00:42:47.640 --> 00:42:49.970 align:middle line:84%
And if the people in the
auditory enhanced condition

00:42:49.970 --> 00:42:52.730 align:middle line:84%
in the modality effect
condition do better,

00:42:52.730 --> 00:42:55.440 align:middle line:84%
then you didn't have to go
all the way into the field.

00:42:55.440 --> 00:42:57.493 align:middle line:84%
You didn't have to recruit
a bunch of teachers

00:42:57.493 --> 00:42:59.160 align:middle line:84%
in real classrooms
and things like that.

00:42:59.160 --> 00:43:01.470 align:middle line:84%
You could study little
bits of this in the lab.

00:43:01.470 --> 00:43:03.020 align:middle line:84%
But again, the thing
that these folks

00:43:03.020 --> 00:43:08.960 align:middle line:84%
are particularly interested in
is changes in average effects.

00:43:08.960 --> 00:43:11.510 align:middle line:84%
Like, these models tend to
assume that we're teaching stuff

00:43:11.510 --> 00:43:13.220 align:middle line:90%
that everyone should learn.

00:43:13.220 --> 00:43:15.850 align:middle line:84%
It would be good if all
the kids in my math class

00:43:15.850 --> 00:43:17.420 align:middle line:90%
learned to factor polynomials.

00:43:17.420 --> 00:43:20.157 align:middle line:84%
And we want strategies that, on
average, have more of those kids

00:43:20.157 --> 00:43:22.490 align:middle line:84%
learn more about factoring
polynomials and other things.

00:43:22.490 --> 00:43:24.520 align:middle line:84%
I'm sort of emphasizing this
point, because a bunch of stuff

00:43:24.520 --> 00:43:25.750 align:middle line:84%
that you're going to
read for next class

00:43:25.750 --> 00:43:27.800 align:middle line:84%
doesn't necessarily
make those assumptions.

00:43:27.800 --> 00:43:30.438 align:middle line:84%
It's still about
learning, but thinks

00:43:30.438 --> 00:43:32.230 align:middle line:84%
about doing research
differently and thinks

00:43:32.230 --> 00:43:35.260 align:middle line:90%
about goals differently.

00:43:35.260 --> 00:43:37.190 align:middle line:90%
OK, here are-- oh, good.

00:43:37.190 --> 00:43:39.160 align:middle line:84%
We just did question
number 3 here of things

00:43:39.160 --> 00:43:43.510 align:middle line:84%
that I wanted to
talk with you about.

00:43:43.510 --> 00:43:46.550 align:middle line:84%
Number one, we emphasized,
for cognitive load theorists,

00:43:46.550 --> 00:43:50.200 align:middle line:84%
what is the bottleneck that
they're most concerned with?

00:43:50.200 --> 00:43:51.135 align:middle line:90%
Working memory.

00:43:51.135 --> 00:43:52.510 align:middle line:84%
There's a limited
number of stuff

00:43:52.510 --> 00:43:54.920 align:middle line:84%
that you can operate
with in working memory.

00:43:54.920 --> 00:43:57.200 align:middle line:84%
So you got to think about,
especially for novices,

00:43:57.200 --> 00:44:00.560 align:middle line:84%
how do you reduce the complexity
of a learning environment?

00:44:00.560 --> 00:44:08.830 align:middle line:90%


00:44:08.830 --> 00:44:12.950 align:middle line:84%
What are the goals of
cognitive load theory?

00:44:12.950 --> 00:44:16.900 align:middle line:84%
What are, like, the end
states of proficiency?

00:44:16.900 --> 00:44:18.650 align:middle line:84%
For cognitive load
theorists, what does it

00:44:18.650 --> 00:44:19.740 align:middle line:90%
mean to be good at stuff?

00:44:19.740 --> 00:44:22.420 align:middle line:90%


00:44:22.420 --> 00:44:25.850 align:middle line:84%
AUDIENCE: Would it be to have
built up a bank of schemas,

00:44:25.850 --> 00:44:28.250 align:middle line:84%
and then be able to
retrieve them at any time,

00:44:28.250 --> 00:44:34.040 align:middle line:84%
and use them to work more
quickly through a problem?

00:44:34.040 --> 00:44:36.140 align:middle line:84%
JUSTIN REICH: It
could be more quickly.

00:44:36.140 --> 00:44:37.940 align:middle line:84%
So definitely, I
think the first part,

00:44:37.940 --> 00:44:39.470 align:middle line:84%
I would say you're
spot on about m

00:44:39.470 --> 00:44:41.090 align:middle line:84%
you have memorized
a bunch of stuff.

00:44:41.090 --> 00:44:42.507 align:middle line:84%
The stuff that
you've memorized is

00:44:42.507 --> 00:44:44.870 align:middle line:84%
organized into schemas of
varying degrees of complexity.

00:44:44.870 --> 00:44:47.370 align:middle line:84%
There are some things that don't
organize well into schemas,

00:44:47.370 --> 00:44:49.600 align:middle line:84%
but we just memorize
them anyway.

00:44:49.600 --> 00:44:51.610 align:middle line:84%
Famous things that
don't fit super well

00:44:51.610 --> 00:44:55.790 align:middle line:84%
into more complex schemas are
a bunch of Asian languages

00:44:55.790 --> 00:44:58.030 align:middle line:84%
have characters that don't,
like, have a lot of logic

00:44:58.030 --> 00:44:58.565 align:middle line:90%
across them.

00:44:58.565 --> 00:45:00.440 align:middle line:84%
Like, you just have to
memorize these things.

00:45:00.440 --> 00:45:01.750 align:middle line:90%
And there are a lot of them.

00:45:01.750 --> 00:45:06.070 align:middle line:84%
And like, schemas will
only get you so far.

00:45:06.070 --> 00:45:09.070 align:middle line:84%
But an important thing
about, there is no relation--

00:45:09.070 --> 00:45:10.070 align:middle line:90%
think about it this way.

00:45:10.070 --> 00:45:13.500 align:middle line:84%
There's no relationship between
proficiency and the learning

00:45:13.500 --> 00:45:14.350 align:middle line:90%
process.

00:45:14.350 --> 00:45:16.860 align:middle line:84%
Like, what do cognitive
load theorists

00:45:16.860 --> 00:45:18.510 align:middle line:90%
think a really good surgeon is?

00:45:18.510 --> 00:45:21.750 align:middle line:84%
Like, a really good surgeon is
both proficient at certain kinds

00:45:21.750 --> 00:45:26.400 align:middle line:84%
of well-established techniques,
but also flexible, intuitive.

00:45:26.400 --> 00:45:28.740 align:middle line:84%
A patient has cancer
and you cut them open,

00:45:28.740 --> 00:45:31.680 align:middle line:84%
and it's some set
of physical problems

00:45:31.680 --> 00:45:32.920 align:middle line:90%
they've never seen before.

00:45:32.920 --> 00:45:34.840 align:middle line:84%
They don't want doctors
who are like, oh,

00:45:34.840 --> 00:45:37.240 align:middle line:84%
I must memorize the procedure
and just do what I'm told.

00:45:37.240 --> 00:45:38.698 align:middle line:84%
They want doctors
who are flexible.

00:45:38.698 --> 00:45:41.010 align:middle line:84%
They want poets and
playwrights who are creative.

00:45:41.010 --> 00:45:44.350 align:middle line:84%
They want teachers who are
engaging and effective.

00:45:44.350 --> 00:45:46.110 align:middle line:84%
Like, their vision
of proficiency

00:45:46.110 --> 00:45:48.750 align:middle line:84%
is the same as almost
anybody else who

00:45:48.750 --> 00:45:50.370 align:middle line:90%
studies teaching and learning.

00:45:50.370 --> 00:45:53.578 align:middle line:84%
Just because they have
methods that are, like,

00:45:53.578 --> 00:45:55.120 align:middle line:84%
it doesn't mean that
they want people

00:45:55.120 --> 00:45:56.910 align:middle line:84%
the rest of their
lives trying to reduce

00:45:56.910 --> 00:46:00.100 align:middle line:84%
the amount of working load,
load on their working memory.

00:46:00.100 --> 00:46:02.118 align:middle line:84%
They want people who
can do all of the things

00:46:02.118 --> 00:46:03.910 align:middle line:84%
that we think experts
should be able to do.

00:46:03.910 --> 00:46:06.780 align:middle line:84%
But they say the way
you get expertise is not

00:46:06.780 --> 00:46:09.060 align:middle line:84%
to take a surgeon and be
like, just get in there

00:46:09.060 --> 00:46:11.620 align:middle line:84%
and start cutting people up,
and like, see what happens.

00:46:11.620 --> 00:46:14.670 align:middle line:84%
You want to train them through
a particular series of processes

00:46:14.670 --> 00:46:18.205 align:middle line:84%
that has them memorize a
particular series of facts.

00:46:18.205 --> 00:46:20.580 align:middle line:84%
Those facts can be assembled
in knowledge, or techniques,

00:46:20.580 --> 00:46:21.622 align:middle line:90%
or other kinds of things.

00:46:21.622 --> 00:46:23.400 align:middle line:84%
And then flexibly
deploy those things they

00:46:23.400 --> 00:46:26.050 align:middle line:84%
memorized to do good
work in the world.

00:46:26.050 --> 00:46:31.050 align:middle line:84%
So don't confuse the way that
cognitive load theorists want

00:46:31.050 --> 00:46:36.657 align:middle line:84%
people to learn, which
can be pretty structured,

00:46:36.657 --> 00:46:37.990 align:middle line:90%
have this devolving scaffolding.

00:46:37.990 --> 00:46:39.407 align:middle line:84%
That doesn't mean
that that's what

00:46:39.407 --> 00:46:42.070 align:middle line:84%
expertise looks like when you
get to the end of that process.

00:46:42.070 --> 00:46:43.695 align:middle line:84%
We might teach people
to be really good

00:46:43.695 --> 00:46:46.090 align:middle line:84%
computer programmers through
a set of worked examples,

00:46:46.090 --> 00:46:48.000 align:middle line:84%
but it doesn't mean that we
want computer programmers who

00:46:48.000 --> 00:46:50.050 align:middle line:84%
just copy things that
they've seen in the world.

00:46:50.050 --> 00:46:51.467 align:middle line:84%
We want those
computer programmers

00:46:51.467 --> 00:46:54.108 align:middle line:84%
to be flexible, creative,
novel, inventive,

00:46:54.108 --> 00:46:55.400 align:middle line:90%
all those kinds of good things.

00:46:55.400 --> 00:46:58.290 align:middle line:90%


00:46:58.290 --> 00:47:02.860 align:middle line:84%
You read two other pieces that
I didn't talk as much about,

00:47:02.860 --> 00:47:04.960 align:middle line:84%
but we talked a little
bit about Sweller,

00:47:04.960 --> 00:47:07.020 align:middle line:84%
"The Story of a
Research Program,"

00:47:07.020 --> 00:47:12.560 align:middle line:84%
that this research comes out of
a particular historical context,

00:47:12.560 --> 00:47:15.900 align:middle line:84%
which is people in math pretty
fired up about problem solving.

00:47:15.900 --> 00:47:17.620 align:middle line:84%
And this guy, John
Sweller, being like,

00:47:17.620 --> 00:47:20.120 align:middle line:84%
I think there are some real
problems with open-ended problem

00:47:20.120 --> 00:47:20.620 align:middle line:90%
solving.

00:47:20.620 --> 00:47:22.650 align:middle line:84%
I think it doesn't do
what we want it to do,

00:47:22.650 --> 00:47:27.320 align:middle line:84%
and there might be
better approaches to try.

00:47:27.320 --> 00:47:30.010 align:middle line:84%
What did you take away from
the Michael Person article?

00:47:30.010 --> 00:47:31.760 align:middle line:84%
So Michael Person is
a teacher in New York

00:47:31.760 --> 00:47:34.685 align:middle line:84%
City, just teaches math to
a bunch of different grades.

00:47:34.685 --> 00:47:36.810 align:middle line:84%
And he's trying to make
sense of all this research.

00:47:36.810 --> 00:47:38.120 align:middle line:84%
What did you take
away from the things

00:47:38.120 --> 00:47:39.412 align:middle line:90%
he was trying to make sense of?

00:47:39.412 --> 00:47:58.640 align:middle line:90%


00:47:58.640 --> 00:48:02.420 align:middle line:84%
So the title of his piece is,
"Not a Theory of Everything."

00:48:02.420 --> 00:48:05.150 align:middle line:90%
What did that allude to?

00:48:05.150 --> 00:48:07.610 align:middle line:84%
AUDIENCE: I could
give a response

00:48:07.610 --> 00:48:10.720 align:middle line:84%
to say, applying cognitive
learning theory to cognitive

00:48:10.720 --> 00:48:14.330 align:middle line:84%
learning theory, and just
restricting it to where it is,

00:48:14.330 --> 00:48:17.350 align:middle line:84%
putting the boundaries, making
sure we understand what it is

00:48:17.350 --> 00:48:21.230 align:middle line:84%
and what it's not, to make sure
that when we're discussing it,

00:48:21.230 --> 00:48:23.980 align:middle line:84%
we're not stepping beyond
it and starting, like,

00:48:23.980 --> 00:48:26.020 align:middle line:84%
confusing things
together and not knowing

00:48:26.020 --> 00:48:27.062 align:middle line:90%
what we're talking about.

00:48:27.062 --> 00:48:27.853 align:middle line:90%
JUSTIN REICH: Good.

00:48:27.853 --> 00:48:29.690 align:middle line:84%
So some of it is him
saying like, all right,

00:48:29.690 --> 00:48:32.660 align:middle line:84%
like, what exactly are these
terms and how are they used?

00:48:32.660 --> 00:48:33.963 align:middle line:90%
How do they mean at a time?

00:48:33.963 --> 00:48:36.380 align:middle line:84%
When Michael Person says, it's
not a theory of everything,

00:48:36.380 --> 00:48:37.930 align:middle line:84%
what are some of the
things that prominently it

00:48:37.930 --> 00:48:38.910 align:middle line:90%
is not a theory of?

00:48:38.910 --> 00:48:42.077 align:middle line:90%


00:48:42.077 --> 00:48:43.160 align:middle line:90%
AUDIENCE: Some motivation.

00:48:43.160 --> 00:48:44.240 align:middle line:90%
JUSTIN REICH: Yeah.

00:48:44.240 --> 00:48:47.680 align:middle line:84%
Why do you think-- so,
Michael teaches math

00:48:47.680 --> 00:48:48.680 align:middle line:90%
in a school in New York.

00:48:48.680 --> 00:48:50.055 align:middle line:84%
Why do you think
motivation would

00:48:50.055 --> 00:48:52.710 align:middle line:84%
be something that would be a
pretty keen interest to Michael?

00:48:52.710 --> 00:48:56.092 align:middle line:90%


00:48:56.092 --> 00:48:57.550 align:middle line:84%
AUDIENCE: I think
that could affect

00:48:57.550 --> 00:49:01.420 align:middle line:84%
how likely people are to
remember the content right

00:49:01.420 --> 00:49:02.030 align:middle line:90%
there.

00:49:02.030 --> 00:49:04.072 align:middle line:84%
If you're really interested
and really motivated,

00:49:04.072 --> 00:49:05.350 align:middle line:90%
that could affect.

00:49:05.350 --> 00:49:06.280 align:middle line:84%
JUSTIN REICH: Yeah,
I think you could

00:49:06.280 --> 00:49:08.072 align:middle line:84%
have a subtext of
Michael's argument, which

00:49:08.072 --> 00:49:11.327 align:middle line:84%
is like, my guy, like,
you're clogged working memory

00:49:11.327 --> 00:49:12.410 align:middle line:90%
is not the problem I have.

00:49:12.410 --> 00:49:14.710 align:middle line:84%
My problem is my
kids don't care.

00:49:14.710 --> 00:49:17.200 align:middle line:84%
Like, if you're not
actually interested,

00:49:17.200 --> 00:49:19.760 align:middle line:84%
and engaged, and want
to learn these things,

00:49:19.760 --> 00:49:21.520 align:middle line:90%
who cares if you're stuck?

00:49:21.520 --> 00:49:23.440 align:middle line:84%
It's not a problem to
be putting seven or nine

00:49:23.440 --> 00:49:24.530 align:middle line:90%
things in their working memory.

00:49:24.530 --> 00:49:26.905 align:middle line:84%
The problem is they will put
zero things in their working

00:49:26.905 --> 00:49:29.270 align:middle line:90%
memory.

00:49:29.270 --> 00:49:32.510 align:middle line:84%
The problem is not the
bottleneck that appears here.

00:49:32.510 --> 00:49:35.110 align:middle line:84%
The problem is you can't
get them to do this.

00:49:35.110 --> 00:49:37.630 align:middle line:84%
You can't get them to
attend to anything.

00:49:37.630 --> 00:49:39.475 align:middle line:90%
I think there's part--

00:49:39.475 --> 00:49:42.430 align:middle line:84%
and for him as a
teacher, motivation

00:49:42.430 --> 00:49:45.640 align:middle line:84%
is just essential,
like, a central problem

00:49:45.640 --> 00:49:47.420 align:middle line:90%
of what he does every day.

00:49:47.420 --> 00:49:50.170 align:middle line:84%
How am I going to convince these
fourth graders in front of me

00:49:50.170 --> 00:49:52.960 align:middle line:84%
that it's worth
learning this math?

00:49:52.960 --> 00:49:55.310 align:middle line:84%
And that, I think,
reading between the lines,

00:49:55.310 --> 00:49:56.685 align:middle line:84%
I think that's
part of what feels

00:49:56.685 --> 00:49:57.970 align:middle line:90%
really important to Michael.

00:49:57.970 --> 00:50:02.230 align:middle line:84%
And John Sweller says, this
theory doesn't do that.

00:50:02.230 --> 00:50:05.620 align:middle line:84%
This theory doesn't attend
to issues of motivation.

00:50:05.620 --> 00:50:08.430 align:middle line:84%
Now, the good thing
about doing that,

00:50:08.430 --> 00:50:10.470 align:middle line:84%
and I think Michael
comes to this conclusion

00:50:10.470 --> 00:50:12.242 align:middle line:84%
in some respects,
is like, yeah, it's

00:50:12.242 --> 00:50:13.950 align:middle line:84%
probably not a good
idea for every theory

00:50:13.950 --> 00:50:15.220 align:middle line:90%
to try to do everything.

00:50:15.220 --> 00:50:17.653 align:middle line:84%
It doesn't diminish the
contributions of cognitive load

00:50:17.653 --> 00:50:19.570 align:middle line:84%
theory to say it doesn't
attend to motivation,

00:50:19.570 --> 00:50:22.560 align:middle line:84%
but it probably should draw
our attention to the fact

00:50:22.560 --> 00:50:26.160 align:middle line:84%
that working memory is not
like the single bottleneck that

00:50:26.160 --> 00:50:28.273 align:middle line:84%
exists in all learning
environments everywhere.

00:50:28.273 --> 00:50:29.940 align:middle line:84%
There are all kinds
of other bottlenecks

00:50:29.940 --> 00:50:30.850 align:middle line:90%
that might be around.

00:50:30.850 --> 00:50:32.370 align:middle line:84%
Again, some of the
stuff that we're

00:50:32.370 --> 00:50:34.110 align:middle line:84%
going to read about
next week thinks

00:50:34.110 --> 00:50:36.960 align:middle line:84%
of motivation as a
very central issue,

00:50:36.960 --> 00:50:40.180 align:middle line:84%
as maybe like the central
issue to teaching and learning,

00:50:40.180 --> 00:50:42.960 align:middle line:84%
which doesn't mean that
this other theory is better.

00:50:42.960 --> 00:50:45.730 align:middle line:84%
But that the theories that
we have are just models.

00:50:45.730 --> 00:50:47.260 align:middle line:90%
They help us make sense.

00:50:47.260 --> 00:50:49.360 align:middle line:84%
Nobody actually understands
how the brain works.

00:50:49.360 --> 00:50:51.540 align:middle line:84%
Nobody actually understands
how people learn.

00:50:51.540 --> 00:50:52.660 align:middle line:90%
That is beyond our ken.

00:50:52.660 --> 00:50:54.250 align:middle line:84%
But there's a lot that
we can know about it.

00:50:54.250 --> 00:50:55.770 align:middle line:84%
And we can build
these models which

00:50:55.770 --> 00:50:58.320 align:middle line:84%
help us make good
predictions, but they don't

00:50:58.320 --> 00:51:01.500 align:middle line:90%
help us predict everything.

00:51:01.500 --> 00:51:03.660 align:middle line:84%
The other thing that I
think Michael's article is

00:51:03.660 --> 00:51:06.880 align:middle line:84%
really good for highlighting
is that these theories change.

00:51:06.880 --> 00:51:08.790 align:middle line:84%
How many of you read
in the original article

00:51:08.790 --> 00:51:11.640 align:middle line:84%
about this thing
called germane load?

00:51:11.640 --> 00:51:12.690 align:middle line:90%
Yeah.

00:51:12.690 --> 00:51:14.430 align:middle line:84%
Researchers in
cognitive load theory

00:51:14.430 --> 00:51:16.510 align:middle line:84%
have basically given
up on germane load.

00:51:16.510 --> 00:51:18.360 align:middle line:84%
It was an idea they
had for a while.

00:51:18.360 --> 00:51:19.360 align:middle line:90%
They were working on it.

00:51:19.360 --> 00:51:20.620 align:middle line:84%
They thought it would
predict some stuff.

00:51:20.620 --> 00:51:21.700 align:middle line:84%
They thought it would
explain some stuff.

00:51:21.700 --> 00:51:22.750 align:middle line:84%
And after a while,
they were like, yeah,

00:51:22.750 --> 00:51:24.910 align:middle line:84%
I don't think this germane
load idea is all that useful.

00:51:24.910 --> 00:51:26.743 align:middle line:84%
And people have more
or less given up on it.

00:51:26.743 --> 00:51:29.370 align:middle line:84%
So these theories are constantly
changing and evolving too.

00:51:29.370 --> 00:51:32.150 align:middle line:84%
The version of cognitive load
theory that I might teach

00:51:32.150 --> 00:51:34.650 align:middle line:84%
in this class 20 years from now
is not going to be the exact

00:51:34.650 --> 00:51:38.370 align:middle line:84%
same as I would have in the
1980s when John Sweller was just

00:51:38.370 --> 00:51:39.940 align:middle line:90%
putting these things together.

00:51:39.940 --> 00:51:42.940 align:middle line:84%
Some parts of it have
stood the test of time.

00:51:42.940 --> 00:51:45.720 align:middle line:84%
I would say,
particularly this idea,

00:51:45.720 --> 00:51:49.273 align:middle line:84%
the idea of extraneous load
seems to be enormously helpful.

00:51:49.273 --> 00:51:51.190 align:middle line:84%
If you put too much stuff
in front of novices,

00:51:51.190 --> 00:51:52.817 align:middle line:84%
they won't attend
to the right things

00:51:52.817 --> 00:51:54.900 align:middle line:84%
and they won't remember
the things that you really

00:51:54.900 --> 00:51:56.653 align:middle line:84%
want them to remember,
or they won't

00:51:56.653 --> 00:51:58.570 align:middle line:84%
be able to attend to
what you want them to do.

00:51:58.570 --> 00:52:00.528 align:middle line:84%
But if you reduce some
of that extraneous load,

00:52:00.528 --> 00:52:02.970 align:middle line:84%
and there are a bunch of
very specific strategies

00:52:02.970 --> 00:52:05.510 align:middle line:84%
that we can use to reduce
that extraneous load,

00:52:05.510 --> 00:52:09.200 align:middle line:84%
some of which are very,
very fine grained.

00:52:09.200 --> 00:52:11.370 align:middle line:84%
If there are multiple
sources of information,

00:52:11.370 --> 00:52:13.478 align:middle line:84%
frequently pictures and
accompanying a text.

00:52:13.478 --> 00:52:16.020 align:middle line:84%
Like, don't put the picture over
here and the text over here.

00:52:16.020 --> 00:52:18.650 align:middle line:84%
Put them in the same place
and people will learn better.

00:52:18.650 --> 00:52:20.824 align:middle line:90%
That's great.

00:52:20.824 --> 00:52:23.450 align:middle line:84%
Think about how many people
today in the United States,

00:52:23.450 --> 00:52:26.152 align:middle line:84%
there are about 57 million
kids in K-12 schools,

00:52:26.152 --> 00:52:28.110 align:middle line:84%
and tens of million people
in higher education.

00:52:28.110 --> 00:52:30.350 align:middle line:84%
Like, if all their textbooks
got a little bit better

00:52:30.350 --> 00:52:32.480 align:middle line:84%
by adhering to this
principle, everyone

00:52:32.480 --> 00:52:34.500 align:middle line:84%
would learn a tiny,
tiny bit more,

00:52:34.500 --> 00:52:37.280 align:middle line:84%
but amortized over
57 million kids going

00:52:37.280 --> 00:52:38.250 align:middle line:90%
to school for 13 years.

00:52:38.250 --> 00:52:39.590 align:middle line:90%
That could be a lot of learning.

00:52:39.590 --> 00:52:41.270 align:middle line:90%
That's pretty cool.

00:52:41.270 --> 00:52:41.820 align:middle line:90%
All right.

00:52:41.820 --> 00:52:46.070 align:middle line:84%
2:20, what are the last things
that I want to leave you with?

00:52:46.070 --> 00:52:52.520 align:middle line:84%
You now have 50% of
the ideas that you will

00:52:52.520 --> 00:52:56.540 align:middle line:90%
need to do assignment number 1.

00:52:56.540 --> 00:52:58.040 align:middle line:84%
So again, assignment
number 1, which

00:52:58.040 --> 00:52:59.420 align:middle line:84%
you should go to the
syllabus and read, is you're

00:52:59.420 --> 00:53:01.410 align:middle line:84%
going to pick an
educational technology.

00:53:01.410 --> 00:53:05.150 align:middle line:84%
You're going to explain if that
educational technology is more

00:53:05.150 --> 00:53:07.980 align:middle line:90%
inspired by instructionists.

00:53:07.980 --> 00:53:09.440 align:middle line:84%
By people who are
really fired up

00:53:09.440 --> 00:53:12.860 align:middle line:84%
about direct teaching of
things, the cognitive load

00:53:12.860 --> 00:53:15.110 align:middle line:90%
theorists or instructionists.

00:53:15.110 --> 00:53:18.033 align:middle line:84%
The worked example effect is
an instructionist kind of idea.

00:53:18.033 --> 00:53:19.700 align:middle line:84%
There are lots of
education technologies

00:53:19.700 --> 00:53:21.470 align:middle line:84%
which are instructionist
in nature, which

00:53:21.470 --> 00:53:22.910 align:middle line:84%
are like, how are we
going to tell people

00:53:22.910 --> 00:53:24.860 align:middle line:84%
how to do this thing
so they do it better?

00:53:24.860 --> 00:53:30.660 align:middle line:84%
There are other pedagogies,
education technologies,

00:53:30.660 --> 00:53:32.990 align:middle line:84%
which are much more
focused on experience,

00:53:32.990 --> 00:53:35.540 align:middle line:84%
much more focused
on apprenticeship.

00:53:35.540 --> 00:53:38.520 align:middle line:84%
How do we get into the world
and muck about and do things?

00:53:38.520 --> 00:53:43.358 align:middle line:84%
And that is what you will read
about for Monday, which is--

00:53:43.358 --> 00:53:45.060 align:middle line:84%
and both of these
ideas are ancient.

00:53:45.060 --> 00:53:47.435 align:middle line:84%
I mean, I think I mentioned
to you before this quote from

00:53:47.435 --> 00:53:50.160 align:middle line:84%
Plutarch, that "education is
not the filling of a pail,

00:53:50.160 --> 00:53:51.890 align:middle line:90%
but the lighting of a fire."

00:53:51.890 --> 00:53:53.960 align:middle line:84%
The cognitive load
theories are like, no,

00:53:53.960 --> 00:53:55.380 align:middle line:90%
pail filling is awesome.

00:53:55.380 --> 00:53:56.700 align:middle line:90%
This is like super effective.

00:53:56.700 --> 00:53:58.742 align:middle line:84%
We can measure how much
stuff goes into the pail.

00:53:58.742 --> 00:54:00.908 align:middle line:84%
We can measure how much
stuff leaks out of the pail.

00:54:00.908 --> 00:54:03.050 align:middle line:84%
We can measure the optimal
flow rate into the pail.

00:54:03.050 --> 00:54:04.330 align:middle line:90%
Pail filling is cool.

00:54:04.330 --> 00:54:07.120 align:middle line:84%
We're now going to find
the contemporary versions

00:54:07.120 --> 00:54:09.610 align:middle line:84%
of the flame kindlers, people
who are trying to really get

00:54:09.610 --> 00:54:11.290 align:middle line:84%
their minds around
how do you get

00:54:11.290 --> 00:54:14.465 align:middle line:84%
people to learn and naturalistic
apprenticeship reactions?

00:54:14.465 --> 00:54:16.340 align:middle line:84%
So you're going to have
to find a technology.

00:54:16.340 --> 00:54:18.820 align:middle line:84%
You have to explain whether
it's more instructionist

00:54:18.820 --> 00:54:21.550 align:middle line:84%
or constructionist, more
inspired by cognitive load

00:54:21.550 --> 00:54:23.090 align:middle line:90%
theory or situated learning.

00:54:23.090 --> 00:54:25.540 align:middle line:84%
Describe how the features
of that technology

00:54:25.540 --> 00:54:28.280 align:middle line:84%
reflect these
pedagogical values.

00:54:28.280 --> 00:54:31.240 align:middle line:84%
That's like the first couple
pages of the assignment.

00:54:31.240 --> 00:54:33.170 align:middle line:84%
You have something
like 1,200 words,

00:54:33.170 --> 00:54:35.420 align:middle line:84%
but you can include pictures,
you can annotate things.

00:54:35.420 --> 00:54:36.820 align:middle line:84%
You can be like, look, this
is like a little screenshot

00:54:36.820 --> 00:54:39.160 align:middle line:84%
of the thing, and like,
here's where instructionism

00:54:39.160 --> 00:54:40.420 align:middle line:90%
is written all over it.

00:54:40.420 --> 00:54:41.908 align:middle line:84%
Then in the last
part of the paper,

00:54:41.908 --> 00:54:43.450 align:middle line:84%
you have to take
this same technology

00:54:43.450 --> 00:54:45.820 align:middle line:84%
and imagine that it was
redesigned or designed

00:54:45.820 --> 00:54:48.280 align:middle line:84%
originally by people from
the opposite pedagogical

00:54:48.280 --> 00:54:48.928 align:middle line:90%
perspective.

00:54:48.928 --> 00:54:50.470 align:middle line:84%
So you might go and
find a technology

00:54:50.470 --> 00:54:53.270 align:middle line:84%
and be like, man, this is like
straight cognitive load theory.

00:54:53.270 --> 00:54:55.690 align:middle line:84%
What if the same technology
with the same kind of goals

00:54:55.690 --> 00:54:58.180 align:middle line:84%
was designed by
situated learning

00:54:58.180 --> 00:54:59.630 align:middle line:90%
constructionist kind of people?

00:54:59.630 --> 00:55:00.500 align:middle line:90%
That is the task.

00:55:00.500 --> 00:55:02.470 align:middle line:84%
So you can be
thinking, as you're

00:55:02.470 --> 00:55:04.322 align:middle line:84%
doing all of these
kinds of readings,

00:55:04.322 --> 00:55:06.530 align:middle line:84%
what are some of the key
principles that I could use?

00:55:06.530 --> 00:55:08.290 align:middle line:84%
How would I apply
these key principles

00:55:08.290 --> 00:55:09.950 align:middle line:90%
to education technologies?

00:55:09.950 --> 00:55:12.200 align:middle line:84%
Which education technology
am I most interested in?

00:55:12.200 --> 00:55:14.050 align:middle line:84%
How am I going to learn
about the other pedagogical

00:55:14.050 --> 00:55:16.030 align:middle line:84%
philosophies so I could
apply in the same way?

00:55:16.030 --> 00:55:17.905 align:middle line:84%
That should give you
some stuff to work with.

00:55:17.905 --> 00:55:21.650 align:middle line:90%
OK, 2:25, we'll meet on Monday.

00:55:21.650 --> 00:55:23.660 align:middle line:84%
You'll read stuff about
situated learning.

00:55:23.660 --> 00:55:27.010 align:middle line:84%
We'll do similar kinds of
exercises to make sense of it.

00:55:27.010 --> 00:55:29.477 align:middle line:84%
If you have questions,
come, swing by.

00:55:29.477 --> 00:55:30.560 align:middle line:90%
Take your books with them.

00:55:30.560 --> 00:55:32.710 align:middle line:84%
Write your names in them so that
you don't get them confused with

00:55:32.710 --> 00:55:33.560 align:middle line:90%
other people's.

00:55:33.560 --> 00:55:36.728 align:middle line:84%
And you can expect
another email from me

00:55:36.728 --> 00:55:38.270 align:middle line:84%
hopefully in the
next couple of days.

00:55:38.270 --> 00:55:39.400 align:middle line:90%
I remember almost every week.

00:55:39.400 --> 00:55:40.610 align:middle line:90%
I don't promise it comes out.

00:55:40.610 --> 00:55:42.160 align:middle line:84%
It's like a courtesy
service, but it's

00:55:42.160 --> 00:55:44.450 align:middle line:84%
like a little summary of what
you need to do for next week.

00:55:44.450 --> 00:55:46.450 align:middle line:84%
OK, I'll stick around if
anybody needs anything.

00:55:46.450 --> 00:55:48.220 align:middle line:84%
Otherwise, have a
wonderful weekend.

00:55:48.220 --> 00:55:50.220 align:middle line:90%
And I'll see you on Monday.

00:55:50.220 --> 00:56:02.000 align:middle line:90%