WEBVTT
Kind: captions
Language: en

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Well hello there. Good morning or good
afternoon or good evening whichever of

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those applies to your current context
and welcome to OAME 2020 virtual. My name

00:00:14.610 --> 00:00:19.439
is Nat Banting and for the next 30 to
40 minutes ish we are going to be

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talking about teaching algebraic
flexibility. And so before we kind of

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dive into it on a very interesting
platform and a time constraint, I just

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wanted to highlight a couple things. The
first is a word of thanks to both the

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organizing committee for OAME 2020 of
which I was hoping and planning on

00:00:40.079 --> 00:00:45.210
attending and then also the emergency
planning committee as it were for the

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virtual conference. I think this is just
such a fantastic opportunity that's been

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put together for us to to learn together
even though we have to be a part. And so

00:00:52.949 --> 00:00:57.329
while we think about that, I think if you
are interacting on a digital space I

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will encourage you to use the hashtag
OAME2020 on Twitter even if you're

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watching this much later than the
original conference date. I think we can

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still gain some value through
interacting in that digital space. And so

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as I said my name is Nat Banting I am a
mathematics teacher in Saskatoon,

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Saskatchewan. I've been out to OAME a
couple times now. I've taught in

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Saskatoon high schools for 10 years. I've
been a district math coach and this year

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I'm on faculty at our local university,
the University of Saskatchewan and I'm

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teaching pre-service teachers, future
mathematics teachers and that's been a

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very interesting transition and I
am transitioning back to going into

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the classroom in the fall. So it's all
kind of a amidst these crazy times

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there's a bunch of change in my world
all over the place. And I just want to be

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absolutely explicit from the beginning
that as a very young teacher I grew up

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with a online support network of sorts
filled with ambitious mathematics

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teachers. And that to a large extent has
shaped who I am as a teacher today and

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so I will encourage you to kind of take
these three avenues to get in contact

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with me about anything that you hear or
any other information that you would

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like. There's a Twitter. 
Please tag me if you have any questions.

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And this is a website where we can find
all the materials we'll be talking about

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and then an email address if you have
anything. Please don't think that this is

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a hollow invitation. I am sincerely
hoping that you will take me up on this

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if anything's kind of burning in your
brain because I wouldn't be where I am

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had it not been for the gracious
collaboration of others. And so with that

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I think we're gonna start in a nice
place and that is just with well-wishing.

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I hope you're doing well
and I think one thing I've learned in

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the last little while here, while we've
lost our regular context of teaching is

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that teaching very clearly for me at its
core is about nurturing student

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well-being and that's mathematical
well-being or otherwise. And that has

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never been clearer and so I want to
premise everything I say today with that

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preload that that I want us to care for
students above all. And maybe you're

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watching this after the threat of
coronavirus has been minimized and if

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that's the case I hope that we are still
thinking about student well-being above

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everything else. And so that's just maybe
a gentle reminder as we move forward.

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I'm gonna base what we talk about today on a simple premise and that is my recent

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interactions in a classroom in an era of
social distancing have made something

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abundantly clear. And that is I notice
and maybe I'm more sensitive than ever

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when a student is being asked simply to
digest content and not make sense of it.

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And I think before these times when I've
been I had so much taken away from my

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teaching arsenal so to speak, I was able
to kind of bury that fact. But now it's

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kind of standing out and it's right in
my face and it's been bugging me

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recently. And so I think these ideas are
even more important as we explore ways

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to have students act flexibly and make
sense of their mathematics and not just

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kind of go to this very simplistic
version because of our context. And I

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think this applies back to when we're
face-to-face with learners as well

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eventually. So our purpose here is to
explore two key characteristics for

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building algebraic flexibility. So by
that

00:04:26.580 --> 00:04:32.340
what I want to do is kind of show you
through a couple activities what I see

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as really really high yield practices or
tenets that we can go through when we

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are thinking about having students act
in flexible ways especially in those

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upper grades when we deal a lot with
equations and functions and things of

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that nature where a lot of the work
seems to distill into symbolic

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manipulation very very quickly. And so to
do so we're gonna be using a digital

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platform as you know because you're here.
So I can't interact with you like I

00:05:01.800 --> 00:05:05.940
would like to as a teacher but I can
sort of interact with you and in in

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certain ways by by pausing the video and
asking you to interact with certain

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tasks. So at any moment you can pause
this video. That's the nice thing about a

00:05:14.219 --> 00:05:18.419
pre-recorded session. You can grab
supplies if I ask you to grab them or

00:05:18.419 --> 00:05:20.969
you can let the dog out if it's
scratching at the door. You can do any of

00:05:20.969 --> 00:05:25.080
those things. I won't be offended because
I can't be offended. There's no way that

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I will know. I think the the conference
might have a way that we can kind of

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chat on a document as we go through the
first time but also those digital

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platforms a little bit are available to
you or you can get in contact with me

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about anything that you that you see or
any questions that you might have. So the

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majority of what we'll do, we'll do one
Desmos activity kind of closer to the

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end, but the most of this will kind of be
pause and work and come back and we'll

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sort of I'll try to anticipate what
you're what you're going to do and we'll

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move on from there. So as a teacher, that
all being laid, I think we should start

00:06:02.490 --> 00:06:06.509
in the best place that I know where to
start and that's with a problem or a

00:06:06.509 --> 00:06:14.279
prompt. So this one came across my
Twitter feed I think last week and I

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immediately fell in love with it.
So what's happening here is you have

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some matches they're arranged like the
digits on a clock face. And the question

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is, what's the largest number you can get
if you move exactly to matches? So I do

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have some instructions for you before we
get started. Number one you want to grab

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something where you can have like some
work in front of you. So you're not doing

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this in your mind. I want
some kind of written work. And as you do

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so I'm gonna be specific and ask you not
to erase anything that you write. So just

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please keep everything in front of you. I
don't know if that takes multiple sheets

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of paper or a very large surface, a dry
erase surface, do something. I would like

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you to keep kind of a remnant of your
thinking on this on this task. And also

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if you could I come up with a solution
and then another one and then another

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one. If you could think through this in
multiple ways and and just number them

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as you come up with them. So this was my
first one, this is my second one, etc.

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I think that that process might be nice
for you to go back. So at this time I'd

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like you to pause this video. Work
through this for two to three minutes

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and kind of generate a few solutions. You
can only move exactly to matches and

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make the largest number possible. Go
ahead pause the video and give it a shot.

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Fantastic and so now hopefully what
you've done is you've kind of come up

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with several ways maybe you had a goal
in mind. I know when I started this task

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I thought about, is there a way that I
can make nines? Nine seemed to me like a

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very powerful number. The zero feels like
it's a waste of matches. So we have six

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matches being used on the zero and I
would like to rearrange them in some

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sort of way. And so I've just come up
with a few possibilities that I think

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people might try. And the first is this.
And we end up with nine eight nine three

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which which is a significant improvement.
Right so we're you know about, we're

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almost two thousand higher than we were
at the previous arrangement. And I when I

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see this there was nine eight nine three,
the problem is there's a very simple

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move to get nine eight nine five and
maybe some of you are on there. There's

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also I believe a way to get nine nine
nine nine. And I think some people are

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kind of operating under that and maybe
you're screaming at the screen right now

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being like yeah like the nine is sitting
right there. We can get nine nine nine

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nine. It's very straightforward. I'm gonna
propose that all those people that have

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this sort of arrangement are operating
under the assumption that we have to

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keep four digits. But it doesn't actually
take a lot for you to realize that might

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not be the case. So I can move two
toothpicks and I can get nineteen

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thousand thirty five. And I didn't break
a rule. Like you might have broken the

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self-imposed rule that there has to be
four digits but clearly the instructions

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were move two matches which I did and I
get nineteen thousand thirty five. And

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this opens up a brand new set of
possibilities which of course some of

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you may have figured out. It is possible
to get a six digit number and I welcome

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those responses on Twitter when you
figure out which one that is but I will

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move forward and I'll provide you
another avenue of thought which I

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thought was particularly ingenious. And
that was someone who suggested that you

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could move to matches and get 8 E 9 9. And so for those of you old

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school calculator enthusiasts will
recognize the E as to the power of.

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So that is eight to the power of 99 which is
significantly bigger than any five digit

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number. And so we have this kind of new
set of rules. And I also will tell you

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there are more creative ways to get even
larger exponents but you're guided by

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this new idea that exponents are allowed.
And when they're allowed it opens up

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these brand-new sets of possibilities.
From this I want to make two points. And

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neither of them have to do with algebra
at this point but we will get there.

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I wanted to ask you this question to begin
with to create two feelings. The first is

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that you had to make the decisions. All
right you were the one that we're

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creating the object. Sure I gave you
parameters, like the number of matches

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that existed on the slide, the number of
moves you were allowed to make, and you

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had the goal to make the largest number.
But it was your decision that activated

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your sense-making. So you were kind of in
control about which matches would move

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where. You might be making underlying
decisions based on I'm gonna keep four

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digits or I'm gonna try to make as many
digits as possible or I'm gonna try to

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use an exponent. These sorts of things
but you were making those decisions.

00:10:51.759 --> 00:10:55.980
That's the most important thing I want
at the forefront today. The second thing is

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the difference between the solutions
that I showed you was more powerful if

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it wasn't what you originally did. And
why I asked you to sort of sequence

00:11:07.180 --> 00:11:10.689
through your solutions is I want you to
go back and see if there was a moment

00:11:10.689 --> 00:11:15.399
where maybe you were operating under the
what's the maximum four-digit number I

00:11:15.399 --> 00:11:18.819
could make and then you switched I
wonder if I could make a five digit or a

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six digit or I wonder if I could use an
exponent. There's a moment there where

00:11:22.720 --> 00:11:27.069
the difference is powerful. And we're
gonna play on these ideas of making

00:11:27.069 --> 00:11:30.040
decisions and noticing difference
because something about a difference

00:11:30.040 --> 00:11:34.059
sort of shoves it right into your
awareness. And that helps as we've tried

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to build flexibility to understand that
there are alternative options. And so now

00:11:40.420 --> 00:11:45.939
that those two things are at the
forefront of your mind I'm hoping to

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transition us into an algebraic state of
mind. And so I'm going to describe one

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structure that I built for my high
school classroom when we started to get

00:11:53.620 --> 00:11:57.500
into those really symbolically driven,
heavy

00:11:57.500 --> 00:12:01.640
algebraic units of study. Really once you
get into that grade 11 level in

00:12:01.640 --> 00:12:07.970
Saskatchewan you see the focus switch
into that precalculus route. And so then

00:12:07.970 --> 00:12:12.770
we get all these functions and equations
that we need to deal with and I've

00:12:12.770 --> 00:12:18.530
noticed that there's a lot of operating
with those algebraic objects that is

00:12:18.530 --> 00:12:23.570
very very rigid. And so can we take these
two feelings, the one where you are

00:12:23.570 --> 00:12:28.040
designing decisions and the one where we
can emphasize difference and kind of

00:12:28.040 --> 00:12:32.570
throw it right in front of our learners
as a way to sort of abruptly jolt them

00:12:32.570 --> 00:12:38.420
into making sense with algebraic objects.
Today we're going to use functions just

00:12:38.420 --> 00:12:41.360
because of time. I was going to show a
little bit with equations and a little

00:12:41.360 --> 00:12:45.260
bit with functions and maybe some other
ideas that the menumath community has

00:12:45.260 --> 00:12:48.740
come up with, but I think for today if we
stick with functions, and if there's any

00:12:48.740 --> 00:12:52.700
other interest we can kind of handle
that in an online space. So the first

00:12:52.700 --> 00:12:59.150
thing is the name menumath, the hash tag
menumath, was just kind of sort of

00:12:59.150 --> 00:13:02.750
started on Twitter by a couple people.
I had this idea. I blogged about it

00:13:02.750 --> 00:13:06.380
and then a couple people started making
these. And I thought oh I should you know

00:13:06.380 --> 00:13:09.220
I favourited them. I should keep track of
these. And then more and more people

00:13:09.220 --> 00:13:14.180
found this useful for their for their
classroom and so eventually this hash

00:13:14.180 --> 00:13:18.230
tag menumath started to live at this
website. So if you go there, you can even

00:13:18.230 --> 00:13:22.670
pause the video now and go and take a
look to kind of see and prepare yourself

00:13:22.670 --> 00:13:26.750
for what I'm about to talk about. You can
see a collection from all over the world

00:13:26.750 --> 00:13:30.500
of people who have taken this structure
and built it for a different sort of

00:13:30.500 --> 00:13:33.410
object. Some of them are algebraic.
There's a lot. There are numbers and

00:13:33.410 --> 00:13:36.290
shapes and all sorts of things. But
they're built out of these two

00:13:36.290 --> 00:13:40.640
principles when it applies to algebra
and so these two things I'm going to

00:13:40.640 --> 00:13:46.460
claim today are a key for me when we're
trying to encourage flexibility. Ask your

00:13:46.460 --> 00:13:51.260
students to be designers and decision
makers and number two provide them a

00:13:51.260 --> 00:13:58.550
context that emphasizes the difference
between those designs. So if you go to

00:13:58.550 --> 00:14:03.020
the website you see this sort of image,
welcome to menu math, etc, etc. It gives you

00:14:03.020 --> 00:14:09.380
a brief history and if you scroll down
you get to a master list, master table of

00:14:09.380 --> 00:14:12.800
all the different menumath activities
that have been designed. And so I kind of

00:14:12.800 --> 00:14:16.430
screenshotted this just with ones for
functions because that's gonna be our focus

00:14:16.430 --> 00:14:20.060
today. But if you scroll down you'll find
others from all sorts of grade levels

00:14:20.060 --> 00:14:25.400
and of course you're always welcome to
submit one via the website as well.

00:14:25.400 --> 00:14:28.339
I love working through these and kind of
posting and seeing the collection grow.

00:14:28.339 --> 00:14:32.150
Most of them also have been translated
into French and so that's nice for those

00:14:32.150 --> 00:14:36.200
of you who teach in a bilingual
classroom. They're there for you. They're

00:14:36.200 --> 00:14:40.400
already already reliably translated so
you don't have to do that work. We are

00:14:40.400 --> 00:14:45.140
going to focus, to kind of describe how
these work, on one of them, the systems of

00:14:45.140 --> 00:14:50.510
linear inequalities. So this was one of
the first ones that I worked through

00:14:50.510 --> 00:14:54.560
when I was trying to find a way to get
students to act flexibly while building

00:14:54.560 --> 00:14:58.880
systems of linear inequalities. If you
were to click the handout link there it

00:14:58.880 --> 00:15:02.420
would bring you to a document that looks
something like this. And all menu tasks

00:15:02.420 --> 00:15:07.160
look something like this. So the most
important part of the menumath tasks

00:15:07.160 --> 00:15:11.330
are the eight constraints that are
detailed in the table here. Constraints A

00:15:11.330 --> 00:15:18.410
all the way through H. These are eight
characteristics that I want the system

00:15:18.410 --> 00:15:23.720
of linear inequalities to have but I
don't need a single system of linear

00:15:23.720 --> 00:15:30.290
inequalities to have all eight. Instead
the students are free to build as many

00:15:30.290 --> 00:15:36.770
systems of linear inequalities as they
want as long as they satisfy each of

00:15:36.770 --> 00:15:43.220
these eight at least once.
However the menumath task asks them to

00:15:43.220 --> 00:15:49.459
do this in as few systems as possible. So
they are actually asked to possibly

00:15:49.459 --> 00:15:54.620
satisfy all eight constraints with one
system of linear inequalities. If that's

00:15:54.620 --> 00:15:59.690
not possible, the next best case would be
to satisfy it with two separate systems

00:15:59.690 --> 00:16:04.900
of linear inequalities. And both of those
systems don't need to have every

00:16:04.900 --> 00:16:10.310
characteristic. They just need to cover
all the bases, all eight bases, between

00:16:10.310 --> 00:16:16.730
the two of them. So for example, before I
set you to work on this, and hopefully

00:16:16.730 --> 00:16:21.860
you haven't paused the video and gotten
way ahead of me, this is a possibility

00:16:21.860 --> 00:16:25.030
for a system of linear inequalities that
a student

00:16:25.030 --> 00:16:30.880
might use to begin a solution of this
menu. So what I've done here is I have

00:16:30.880 --> 00:16:37.210
listed all of the eight constraints, sort
of summarized them here. And then I have

00:16:37.210 --> 00:16:41.950
played around in Desmos just really
quickly with two functions or sorry its

00:16:41.950 --> 00:16:46.150
not functions, inequalities. So this is y&lt;3x+4 and you

00:16:46.150 --> 00:16:50.470
can see it's graphed in red and then
below that you have y&gt;1/2x+1

00:16:50.470 --> 00:16:56.290
And you can see the
system of linear inequalities on the

00:16:56.290 --> 00:17:00.400
right-hand side there. It has certain
characteristics. And I've taken the

00:17:00.400 --> 00:17:05.740
liberty of bolding them and turning them
green. So all of these characteristics

00:17:05.740 --> 00:17:14.410
are satisfied by this system. Okay so can
you see where one of the functions has a

00:17:14.410 --> 00:17:19.540
y-intercept of 4? Right we can see that
the red, not function sorry I keep saying

00:17:19.540 --> 00:17:24.070
that, the red inequality has a
y-intercept of 4 which is sitting over

00:17:24.070 --> 00:17:28.060
here. Okay. This one, doesn't, the blue one
doesn't also need to have the intercept.

00:17:28.060 --> 00:17:33.580
It was one inequality had to have the y
intercept of 4 so that's satisfied.

00:17:33.580 --> 00:17:38.260
Can you see that all of these inequalities
have positive slopes? That they result in

00:17:38.260 --> 00:17:42.460
an unbounded solution region and that
there are more dashed lines than solid

00:17:42.460 --> 00:17:47.800
lines. Those are four of the eight are
satisfied with this system. However this

00:17:47.800 --> 00:17:52.780
system has left four of the eight
unsatisfied. So the student would then be

00:17:52.780 --> 00:17:56.650
forced to do one of two things. Number
one you could kind of tinker or play

00:17:56.650 --> 00:18:01.240
with this system that I've given you
to hopefully satisfy some of the other

00:18:01.240 --> 00:18:05.350
requirements. Maybe you want to try and
move it so the entire solution is in

00:18:05.350 --> 00:18:09.430
quadrant one or maybe you want to move
it so it contains the origin. Whatever

00:18:09.430 --> 00:18:14.530
you want to do. You have to change it so
all eight are satisfied. Or you could

00:18:14.530 --> 00:18:19.480
leave this system of inequalities as
good, as satisfying four of the eight,

00:18:19.480 --> 00:18:26.280
start fresh and build a new system of
inequalities that is targeting these

00:18:26.280 --> 00:18:31.570
unsatisfied constraints. But now you're
on to your second keeping in mind that

00:18:31.570 --> 00:18:37.270
your goal is to do this in as few
systems of linear inequalities as

00:18:37.270 --> 00:18:40.659
possible. So
that's hopefully a start. The key piece

00:18:40.659 --> 00:18:44.169
for these is you don't have to, and
sometimes you have to stress this to

00:18:44.169 --> 00:18:49.269
students, you don't have to do it in one
object. You don't have to satisfy all

00:18:49.269 --> 00:18:55.480
these eight constraints with one system.
You can always satisfy a good portion of

00:18:55.480 --> 00:18:59.409
them until you're satisfied with that.
Set that one aside and then try to build

00:18:59.409 --> 00:19:03.669
from scratch on the constraints that
haven't been satisfied. But in the end

00:19:03.669 --> 00:19:07.600
your job is to do this and convince me
that you've done it in as few systems as

00:19:07.600 --> 00:19:13.240
possible. And so with that being said and
those instructions laid, I would like you

00:19:13.240 --> 00:19:17.710
to pause the video and maybe sketch out
in front of you, don't worry too much

00:19:17.710 --> 00:19:23.559
about the rigor of the actual
inequalities. Maybe you just want to do

00:19:23.559 --> 00:19:26.320
this with sketches on the Cartesian
plane. Maybe you want to throw it into

00:19:26.320 --> 00:19:29.889
Desmos. Kind of like I showed you there
and make sure that that you have all

00:19:29.889 --> 00:19:33.789
your bases covered with it with a high
degree of precision. That's excellent as

00:19:33.789 --> 00:19:37.990
well. Again it's kind of at your own pace
here because of the online format. So

00:19:37.990 --> 00:19:43.720
that's nice. Go ahead and pause now and
please solve my systems of linear

00:19:43.720 --> 00:19:49.679
inequalities menu in as few systems as
possible.

00:19:51.480 --> 00:19:57.519
Great! So hopefully you've spent a good
portion of time. I know it is not

00:19:57.519 --> 00:20:02.950
necessarily a quick exercise and this is
nice, depending on the menu that you're

00:20:02.950 --> 00:20:06.460
working with, some students can see a way
to a solution right away.

00:20:06.460 --> 00:20:11.259
Some students are okay with adding one
more system just to satisfy that last

00:20:11.259 --> 00:20:15.399
sort of nagging constraint that they
didn't get in their first ones. And some

00:20:15.399 --> 00:20:19.090
students will sit there and stare at it,
and tweak it, and move it, and model it

00:20:19.090 --> 00:20:23.710
over and over and over again until they
don't have to add that extra one.

00:20:23.710 --> 00:20:28.990
They want to get it in as few as possible.
Here in my experience with these things

00:20:28.990 --> 00:20:32.169
over the last couple years are some
common students strategies. And it would

00:20:32.169 --> 00:20:37.929
be amazing if you could kind of see
yourself in this activity. The first is

00:20:37.929 --> 00:20:41.919
one of the most popular things that
students do, especially if this is the

00:20:41.919 --> 00:20:46.059
second or the third menu task that
they've done, is they tread very lightly.

00:20:46.059 --> 00:20:50.500
And the first thing they try to do is
establish a minimum number of

00:20:50.500 --> 00:20:55.900
objects that they need to build. So is it
possible? Is it worth chasing the perfect

00:20:55.900 --> 00:21:02.590
solution? Can I get all eight constraints
satisfied with only one system? Right and

00:21:02.590 --> 00:21:07.060
so how they do this is they choose
characteristics and they ask themselves

00:21:07.060 --> 00:21:11.800
if it's even possible for both of those
things to exist together. And so if we go

00:21:11.800 --> 00:21:17.650
back to our systems task, there's not
anything, and by design, there's not

00:21:17.650 --> 00:21:22.210
anything that sort of jumps out of the
screen at you. There's not something like

00:21:22.210 --> 00:21:27.070
that says the entire solution region is
in quadrant one and another constraint

00:21:27.070 --> 00:21:31.780
isn't something like the entire solution
region is in quadrant three. If both of

00:21:31.780 --> 00:21:35.920
those needed to be satisfied, we know for
sure they can't happen together.

00:21:35.920 --> 00:21:39.490
Therefore we're already looking at
designing two objects to satisfy the

00:21:39.490 --> 00:21:43.180
menu. But we don't see that here.
I highlighted these three because I

00:21:43.180 --> 00:21:47.050
think these have a very nice interplay.
And and this is often where the students

00:21:47.050 --> 00:21:51.820
end up spending their time. Is it
possible for these three things to

00:21:51.820 --> 00:21:56.830
happen together? And of course here my
job isn't to tell you yes or no. My job

00:21:56.830 --> 00:22:00.180
is to design the the environment, which I
did, and hopefully you've already

00:22:00.180 --> 00:22:04.309
struggled with this if you spent some
time with the video paused.

00:22:04.309 --> 00:22:09.010
How could you have an inequality that
has a y-intercept of 4?Only one in

00:22:09.010 --> 00:22:12.910
the system has to have that. All
inequalities have positive slopes.

00:22:12.910 --> 00:22:17.470
We actually satisfied both of those in my
sample. If you remember the sample from

00:22:17.470 --> 00:22:23.670
here, this satisfies both of those. So you
see there's a y-intercept of 4 and

00:22:23.670 --> 00:22:29.110
everything is positive there but the
origin was not in the solution region.

00:22:29.110 --> 00:22:35.040
So is it possible to add F? Could I tweak
that system that I built there to add F

00:22:35.040 --> 00:22:40.360
into the constraints that have been
satisfied? And in doing so what you're

00:22:40.360 --> 00:22:43.600
doing is you're sort of establishing,
what's my goal? What's a realistic goal

00:22:43.600 --> 00:22:47.290
here? What things play well together as
far as the constraints and what things

00:22:47.290 --> 00:22:53.020
don't? And notice these decisions are all
based on, you are required to make them,

00:22:53.020 --> 00:22:57.520
and there's sort of this incessant
tinkering that's going on. Maybe you give

00:22:57.520 --> 00:23:04.039
up on B, C &amp; F combining. B C and D. We
know those can combine nicely.

00:23:04.039 --> 00:23:11.989
Can add one to it? Can I go B,C,D, and maybe add G? Is that possible? And of course as I'm

00:23:11.989 --> 00:23:17.179
sure many of you are already aware, we
can definitely alter that system to also

00:23:17.179 --> 00:23:20.929
contain G. Actually we don't have to
alter it at all. The original example

00:23:20.929 --> 00:23:25.940
that I gave in this presentation
includes G because both of the

00:23:25.940 --> 00:23:29.989
inequalities were oblique lines. And I do
that intentionally at around the

00:23:29.989 --> 00:23:33.649
seventeen and a half minute mark here.
You can go back and catch me in a

00:23:33.649 --> 00:23:37.220
bold-faced lie. That wasn't an accident.
That was on purpose. I just wanted to

00:23:37.220 --> 00:23:41.059
make sure that you were in fact paying
attention at this point of the

00:23:41.059 --> 00:23:44.279
presentation.
The other one is very interesting

00:23:44.279 --> 00:23:47.940
because I like the reference but none of
the students get it anymore and I'm

00:23:47.940 --> 00:23:52.739
really hoping that this audience will
understand the game of snake. And if you

00:23:52.739 --> 00:23:58.679
were anything like me as a burgeoning
math nerd, you spent some time playing on

00:23:58.679 --> 00:24:04.769
coolmathgames.com. This was sort of our
Mecca in our computer lab at school.

00:24:04.769 --> 00:24:08.309
And this was the game of snake. You can still go play this game. You know what, if you

00:24:08.309 --> 00:24:12.809
wanted to take a break from this webinar,
and go onto coolmathgames.com and have

00:24:12.809 --> 00:24:16.649
a couple rounds of snake, I would not
blame you in the least. The game is very

00:24:16.649 --> 00:24:22.169
straightforward. There's a red dot. Well a
red pixel that appears on the screen and

00:24:22.169 --> 00:24:26.429
you are controlling the green snake. You
start quite small. And you go and eat the

00:24:26.429 --> 00:24:32.039
red brick. I think it's supposed to be an
apple. When you eat the brick your snakes

00:24:32.039 --> 00:24:36.960
length grows by one. And then you must
continue to meander around the screen to

00:24:36.960 --> 00:24:42.090
kind of get the next apple. The trick is
you cannot stop moving. And so your

00:24:42.090 --> 00:24:46.499
biggest obstacle becomes yourself. All
right. And every time you eat an apple

00:24:46.499 --> 00:24:52.440
you slowly grow. And that's what I mean
with how these students attack the menu

00:24:52.440 --> 00:24:56.909
math problem. They start with a
constraint that's familiar to them.

00:24:56.909 --> 00:25:02.249
So maybe that constraint is has a
y-intercept of 4 and then they see if

00:25:02.249 --> 00:25:07.350
they can tweak their system to add in
another one. Swallow another one up.

00:25:07.350 --> 00:25:12.809
And so in our example, we already swallowed four of the eight constraints. Can we

00:25:12.809 --> 00:25:17.220
tweak it, not throw it out, can we just
swallow another red pixel just to kind

00:25:17.220 --> 00:25:20.999
of grow in the number of constraints? And
of course the ultimate goal here is to

00:25:20.999 --> 00:25:27.960
slowly bloat your way into the perfect
solution of the menu where one system of

00:25:27.960 --> 00:25:32.220
linear inequalities satisfies all eight
of those. But you don't try to tackle it

00:25:32.220 --> 00:25:36.929
all at once. You slowly are playing what
I call the game of snake, you swallow one

00:25:36.929 --> 00:25:41.549
constraint. Okay fantastic. Is there a way
to gain the next without losing? And you

00:25:41.549 --> 00:25:46.590
watch sort of your solution grow into a
super solution so to speak. And that

00:25:46.590 --> 00:25:51.659
brings us to our last one. And this is
what one student once called the hero

00:25:51.659 --> 00:25:56.970
solve. So he actually did this to me once
on a menu that I was doing

00:25:56.970 --> 00:26:00.990
with fractions. And so he came up to my
desk and he told me Banting, I found the

00:26:00.990 --> 00:26:05.100
hero solve. And I didn't really know what
that meant. I could kind of assume.

00:26:05.100 --> 00:26:09.510
But I've come to call this the super example.
So this is very similar to the snake

00:26:09.510 --> 00:26:13.679
strategy except where there is no
incremental like hit the red pixel. Hit

00:26:13.679 --> 00:26:17.789
the red pixel. Slowly grow. Slowly gain a
constraint. Slowly tinker and gain a

00:26:17.789 --> 00:26:26.100
constraint. This is a reasoned and
logical attack on all eight parameters

00:26:26.100 --> 00:26:31.169
at once. So once they once they
know that there's no obvious

00:26:31.169 --> 00:26:36.720
contradictions, they sit and they try to
imagine a single solution without that

00:26:36.720 --> 00:26:41.610
kind of incremental approach to that one
single solution. And so when you watch

00:26:41.610 --> 00:26:45.450
students do this, a lot of times there's
not a lot on their workspace. And so what

00:26:45.450 --> 00:26:48.750
I would encourage you to do is don't
jump to conclusions that they're stuck

00:26:48.750 --> 00:26:52.470
but ask them what they're trying to do.
Ask them if there's a constraint that

00:26:52.470 --> 00:26:56.640
maybe is the easiest that they're trying
to tackle. They often will tell ya those

00:26:56.640 --> 00:27:00.600
ones are easy. We're stuck here. And
oftentimes if you build these things

00:27:00.600 --> 00:27:05.190
well the super example gets tripped up.
And something that isn't immediately

00:27:05.190 --> 00:27:09.840
obvious but becomes very very difficult
as you start to kind of design these

00:27:09.840 --> 00:27:12.840
things. And that's what I'm hoping
happened to you when you did the system

00:27:12.840 --> 00:27:18.120
of linear inequalities. Okay and like
anything, these are really nice because

00:27:18.120 --> 00:27:23.039
they take a fair chunk of time but that
time is very dense with reasoning. And

00:27:23.039 --> 00:27:26.850
the reason for that I believe goes back
to the two things we're talking about to

00:27:26.850 --> 00:27:32.220
build flexibility. The students are
constantly making decisions and there's

00:27:32.220 --> 00:27:36.120
so much difference at play here. There's
difference between the constraints.

00:27:36.120 --> 00:27:40.770
There's difference between what can go
in to the object like the system in the

00:27:40.770 --> 00:27:43.980
example that we did. There's difference
of opinions if you have these people

00:27:43.980 --> 00:27:48.330
doing it in groups. And so that
difference really causes them to have

00:27:48.330 --> 00:27:53.610
this very rich and flexible interchange
between between the models. And it's not

00:27:53.610 --> 00:27:58.049
a simple, here's a model can you please
describe it? It's here's something I

00:27:58.049 --> 00:28:01.890
would like a model to contain can you
please design it? And there's a there's a

00:28:01.890 --> 00:28:09.210
big difference there. What we're gonna do
kind of as our last activity, as we wind

00:28:09.210 --> 00:28:12.990
down in time, is one of the actually, I think the

00:28:12.990 --> 00:28:17.279
first menu task was a was a parabola
menu task. This is where this idea sort

00:28:17.279 --> 00:28:20.250
of came from. So you'll notice that this
menu task is a little bit different than

00:28:20.250 --> 00:28:24.779
the last one. You're not building systems
of linear inequalities. You're building

00:28:24.779 --> 00:28:31.679
quadratic functions. And there's no
longer eight requirements there are

00:28:31.679 --> 00:28:37.130
actually ten requirements which maybe
makes the hero solve very very difficult.

00:28:37.130 --> 00:28:43.679
And instead of just sort of pausing the
video on this one and having you work on

00:28:43.679 --> 00:28:49.309
it on paper, what happened was through
another online collaboration, I

00:28:49.309 --> 00:28:56.610
interacted with the genius of Desmos
computationaler Jay Chow and he built

00:28:56.610 --> 00:29:01.799
something for us to work with in this
remote setting. And so what he did, and

00:29:01.799 --> 00:29:06.330
you can go here, if you're not familiar
with Desmos, I would encourage you to

00:29:06.330 --> 00:29:10.470
become familiar with Desmos and maybe
this is a really nice first step to

00:29:10.470 --> 00:29:15.629
becoming a participant in your first
student Desmos activity. You go to this

00:29:15.629 --> 00:29:20.730
URL student.desmos.com. If you just can 
navigate here in your web browser and

00:29:20.730 --> 00:29:28.230
you enter in this code VN4 8FN. What
will actually happen when you do that is

00:29:28.230 --> 00:29:33.629
you'll enter into a screen that looks
like this. This is the menu. But the nice

00:29:33.629 --> 00:29:39.000
part about Desmos is when you were doing
those inequalities, it's very possible

00:29:39.000 --> 00:29:42.750
that you kind of just made sketches of
graphs and then you kind of would worry

00:29:42.750 --> 00:29:46.980
about writing the equations for those
inequalities later. In desmos what Jay

00:29:46.980 --> 00:29:52.350
has done is as you enter in the
functions not only are they graphed

00:29:52.350 --> 00:29:57.240
dynamically right in front of you but he
has turned all the of all the

00:29:57.240 --> 00:30:01.679
constraints that you have satisfied
green. So what you can see by doing this

00:30:01.679 --> 00:30:06.330
is that by entering the function y equals x squared, not only do I see it

00:30:06.330 --> 00:30:10.889
here, but I know that that never enters
quadrant 3, has a positive intercept,

00:30:10.889 --> 00:30:17.340
vertex on the y-axis, etc, etc, etc. Now
based on the coding there are also some

00:30:17.340 --> 00:30:20.220
very interesting avenues for
conversation. Like maybe this is

00:30:20.220 --> 00:30:23.340
something that your students want to
talk about. Does this function really

00:30:23.340 --> 00:30:25.890
have positive y-intercept? I'm less interested

00:30:25.890 --> 00:30:32.429
in the technical correct answer in this
case and more in the little caveat, in

00:30:32.429 --> 00:30:38.160
the corner case for conversation. So what
I'm gonna ask you to do is instead of

00:30:38.160 --> 00:30:44.730
doing this on pencil and paper is to
navigate to Desmos. Log into the

00:30:44.730 --> 00:30:48.240
student account and I will leave this
active for as long as possible. So if you

00:30:48.240 --> 00:30:54.120
are watching this a long time after
OAME virtual 2020 that's okay. You should

00:30:54.120 --> 00:30:59.610
be able to log into this class code and
play around with this parabola menu.

00:30:59.610 --> 00:31:05.340
Until you can satisfy it in as few
quadratic functions as possible. Now keep

00:31:05.340 --> 00:31:09.600
in mind, now I can see your work because
I can go to the teacher dashboard and

00:31:09.600 --> 00:31:13.200
see how you did it. So if you claim you
do it in two, I'll be able to verify that

00:31:13.200 --> 00:31:17.190
claim. Go ahead and pause the video and
navigate to a browser and kind of just

00:31:17.190 --> 00:31:21.000
play around with this one until you can
satisfy all ten. And see maybe you go for

00:31:21.000 --> 00:31:24.919
the hero solve. Maybe you notice yourself
playing the game of snake as you slowly

00:31:24.919 --> 00:31:30.510
develop and adapt to fit more and more
constraints. Maybe you notice some right

00:31:30.510 --> 00:31:34.320
away that cannot exist together. Right
you find that oh we're gonna have to at

00:31:34.320 --> 00:31:38.730
least two because such and such and such
and such can't both happen. That's great.

00:31:38.730 --> 00:31:41.790
maybe you can see that reasoning. And
then come on back and we'll just talk

00:31:41.790 --> 00:31:52.620
really quick and wrap up the webinar for
today. Great yeah you can save that

00:31:52.620 --> 00:31:54.570
activity.
I believe you can add it to a collection

00:31:54.570 --> 00:31:58.200
of your own and all those things. If you
wanted to use it with your class. It's a

00:31:58.200 --> 00:32:03.419
very nice thing for a distance setting
but I also obviously, these were born and

00:32:03.419 --> 00:32:06.179
face to face settings and I think
they're excellent wherever you want to

00:32:06.179 --> 00:32:11.010
build that flexibility. One quick summary
before you can move on to all the other

00:32:11.010 --> 00:32:15.780
great opportunities that are provided
for you in this virtual conference and

00:32:15.780 --> 00:32:20.220
that is this. Just to just to loop back
on it, I think there's so much power that

00:32:20.220 --> 00:32:25.320
goes into flexible thought here and
we've just chosen algebra as our

00:32:25.320 --> 00:32:30.330
platform. And the reason for that is as a
secondary teacher I've often felt the

00:32:30.330 --> 00:32:34.830
pressure of yeah that's really great,
that's really creative math and I see

00:32:34.830 --> 00:32:37.889
that, and and admit that and that that's

00:32:37.889 --> 00:32:42.059
awesome, but I often found those
higher-level teachers, the ones that are

00:32:42.059 --> 00:32:45.809
teaching the grade 11s and the grade 12s
and the honors say, that's really nice

00:32:45.809 --> 00:32:49.830
but where I am my hands are kind of tied.
And I think what they were doing is

00:32:49.830 --> 00:32:53.940
operating in that one direction where
here's your model can we describe the

00:32:53.940 --> 00:32:58.289
heck out of it and then we can learn it.
I think if we flip that on its head and

00:32:58.289 --> 00:33:02.340
we focus on the students making the
design decisions we really can get them

00:33:02.340 --> 00:33:07.259
to operate flexibly by tinkering with
those the design decisions. It's kind of

00:33:07.259 --> 00:33:12.360
a very simple thing that can help us
become more flexible in our algebraic

00:33:12.360 --> 00:33:16.259
courses. And again the second is that power of difference. And you can use this as

00:33:16.259 --> 00:33:21.269
your teaching move where you introduce a
new solution or a new way of thinking

00:33:21.269 --> 00:33:24.690
about it and then you can kind of leave
the students kind of shocked and awed in

00:33:24.690 --> 00:33:28.350
that difference. And so that plays a role
here but also the menu is really nice

00:33:28.350 --> 00:33:32.279
because there's so many options provided
to them. The difference between the

00:33:32.279 --> 00:33:37.919
constraints is thrown into their
awareness. They cannot escape it. And so

00:33:37.919 --> 00:33:43.769
sometimes that's a that is the best way
to build that sense making is when you

00:33:43.769 --> 00:33:47.580
have to make that conscious choice. This
change will sacrifice this constraint

00:33:47.580 --> 00:33:52.740
but will satisfy this constraint and so
it's not sort of a random tinkering.

00:33:52.740 --> 00:33:57.090
It's a very purposeful one and that's where I
think we see a lot of the flexibility.

00:33:57.090 --> 00:34:02.549
And so when we're doing menumath is
just one one way, and there are other

00:34:02.549 --> 00:34:05.970
ways that you can highlight these two
key things with designing decisions and

00:34:05.970 --> 00:34:11.010
emphasizing difference. But here what I
think menumath does really nice is it

00:34:11.010 --> 00:34:14.250
highlights the compatibility and
impossibility. So right away you can look

00:34:14.250 --> 00:34:18.210
at those constraints and think those
ones work really well together and those

00:34:18.210 --> 00:34:22.770
ones maybe are impossible. They cannot
both be satisfied and that doesn't wreck

00:34:22.770 --> 00:34:27.629
the task. It just changes the way that
students are going to operate. And I have

00:34:27.629 --> 00:34:31.589
had students eliminate one and say you
know what I have a hero solve with

00:34:31.589 --> 00:34:35.639
seven and I'll kind of throw in the last
one with the

00:34:35.639 --> 00:34:39.960
with the last constraint because there
still is this sort of desire to do this

00:34:39.960 --> 00:34:44.609
with as few as possible. It really shows
a lot of flexibility. In the end they're

00:34:44.609 --> 00:34:48.810
practicing a lot all their parameters. So
when you were building those parabolas

00:34:48.810 --> 00:34:52.290
you're thinking to yourself how do I
shift that to the left? Or how do I shift

00:34:52.290 --> 00:34:56.550
that to the right? Or how do I, what
parameter controls the direction of

00:34:56.550 --> 00:35:01.110
opening or the axis of symmetry? These
sorts of things. So they are getting that

00:35:01.110 --> 00:35:06.270
repeated practice that helps build that
fluency. And that's what I mean about the

00:35:06.270 --> 00:35:10.370
proficiency with critical features of
algebraic models. Whether that be

00:35:10.370 --> 00:35:14.670
vocabulary as we see there with the
systems. Like what is a solution region?

00:35:14.670 --> 00:35:19.830
What makes the dashed line versus the
solid line? Reintroduction to positive

00:35:19.830 --> 00:35:26.100
slope. Can two positive slopes be in the
first, third, second, fourth quadrant? These

00:35:26.100 --> 00:35:30.450
things like this. They're exploring those
possibilities. And the last one there is

00:35:30.450 --> 00:35:35.940
interesting because for those students
that want to have something for sure

00:35:35.940 --> 00:35:39.930
before they write anything down. They
don't tinker as much on paper but they

00:35:39.930 --> 00:35:44.400
do tinker in their minds. This is really
nice for that visualization and that

00:35:44.400 --> 00:35:49.350
connection between the algebra and the
and the geometry which is what Desmos

00:35:49.350 --> 00:35:52.500
does so well. So a lot of these students
when you build something like a system,

00:35:52.500 --> 00:35:55.950
they're imagining what that might look
like to have a y-intercept at 4 and

00:35:55.950 --> 00:36:00.000
include the origin and be unbounded. So
that is that is another sort of

00:36:00.000 --> 00:36:04.830
flexibility that is built into this. And
of course I'm not saying menumath is

00:36:04.830 --> 00:36:08.610
the only way to do this but I think it's
kind of one nice tight succinct package

00:36:08.610 --> 00:36:13.080
that has all these benefits that's been
sort of intelligently designed around

00:36:13.080 --> 00:36:17.580
these two important features of
algebraic flexibility. And it's always

00:36:17.580 --> 00:36:23.640
nice as a teacher of those algebra dense
courses to have these structures that

00:36:23.640 --> 00:36:28.890
students are familiar with and maybe
even create themselves that can have

00:36:28.890 --> 00:36:35.010
them operate as creative designers of
mathematics and not just digesters of

00:36:35.010 --> 00:36:39.000
mathematics. That's sort of the the
ultimate goal. And so again if you need

00:36:39.000 --> 00:36:42.690
to get in contact with me, this is how
you can do that. And again if you go to

00:36:42.690 --> 00:36:48.150
natbanting.com/menu-math, you can get right to that page with

00:36:48.150 --> 00:36:51.870
all the menus that are there. And of
course I would welcome any creations

00:36:51.870 --> 00:36:56.540
from you or your students with menus and
I'll sort of just slowly curate them and

00:36:56.540 --> 00:37:01.090
polish them up and I will have
I'm translated into French and post it

00:37:01.090 --> 00:37:05.350
onto the page so we can share with
others. So thank you so much for

00:37:05.350 --> 00:37:12.840
listening and I hope you enjoy the rest
of this 2020 OAME virtual experience.

00:37:12.840 --> 00:37:18.250
One last thank you to the to the
planners of this for the opportunity and

00:37:18.250 --> 00:37:23.370
enjoy all the mathematical thinking that
awaits. Thank you very much.

