Essential IM

An AI-generated short discussion of an Illustrative Mathematics lesson to help educators prepare to teach it. 

The episode is intended to cover: 

  • The big mathematical ideas in the lesson
  • The main activities students do
  • How to make it interesting for young people
  • Possible misconceptions and how to deal with them.

What is Essential IM?

Lesson by lesson podcasts for teachers of Illustrative Mathematics®.

(Based on IM 9-12 Math™ by Illustrative Mathematics®, available at www.illustrativemathematics.org.)

Speaker 1:

Ever wonder how experts predict how populations will change, you know, like, way into the future?

Speaker 2:

Yeah. It's like seeing into the future of cities and countries.

Speaker 1:

Today, we're diving deep into population modeling.

Speaker 2:

We'll be breaking down a lesson plan.

Speaker 1:

A A lesson plan that helps students, well

Speaker 2:

Helps students predict those populations.

Speaker 1:

And they do it like pros.

Speaker 2:

Using math.

Speaker 1:

Okay. So think about this. We're talking about using math equations.

Speaker 2:

To figure out how cities grow. Or even shrink. It's pretty cool when you think about it.

Speaker 1:

It's like those moments you get in math class.

Speaker 2:

Where it all suddenly clicks.

Speaker 1:

Exactly. So the big picture here is getting students comfy using these, what are they called?

Speaker 2:

Linear and exponential functions.

Speaker 1:

Right. Right. To really grasp how populations change over time.

Speaker 2:

And it's not just about memorizing the formulas. You

Speaker 1:

No. No. Definitely not just plugging numbers into equations.

Speaker 2:

It's about really understanding how to analyze the data.

Speaker 1:

Data from the real world.

Speaker 2:

Exactly. Like, thinking critically about how to represent that data.

Speaker 1:

Choosing the right tools for the job.

Speaker 2:

Because different populations have different stories. You know?

Speaker 1:

Totally. And that's where choosing between linear and exponential comes in.

Speaker 2:

Right. Linear functions. That's like steady, consistent change.

Speaker 1:

Think about it like, like clockwork.

Speaker 2:

Yeah. Precisely. But exponential.

Speaker 1:

Exponential's a whole other ballgame.

Speaker 2:

That's where things can really take off.

Speaker 1:

Because of the constant percentage change. Right?

Speaker 2:

Exactly. Things can explode fast with that percentage constantly changing. It's like, think about how quickly a video can go viral online.

Speaker 1:

That's a perfect example. Or, like, the growth of well, almost anything that spreads really rapidly.

Speaker 2:

And this lesson takes these kinda abstract mathematical ideas

Speaker 1:

and grounds them in something students can really connect with.

Speaker 2:

Their world, populations, the future. So how does this lesson plan actually get students using these functions?

Speaker 1:

Well, it throws them right into the deep end.

Speaker 2:

They get their hands dirty with some real case studies.

Speaker 1:

3 to be exact.

Speaker 2:

Three cities.

Speaker 1:

Paris, Austin, and Chicago.

Speaker 2:

And each city.

Speaker 1:

Shows how populations can change over time. So we're talking, like, students get actual population data

Speaker 2:

Real number.

Speaker 1:

From these cities over decades.

Speaker 2:

And they're pretty different, these cities.

Speaker 1:

Yeah. You've got Paris, kinda steady growth.

Speaker 2:

And Austin booming.

Speaker 1:

And Chicago well, Chicago's a bit more,

Speaker 2:

A bit more of a roller coaster.

Speaker 1:

Exactly. Ups and downs. You know?

Speaker 2:

And the lesson plan wants teachers to point those differences out.

Speaker 1:

It's not about here's the right answer. It's more.

Speaker 2:

It's about seeing how different each city's story is.

Speaker 1:

And then the students become these, like, mathematical detectives.

Speaker 2:

They have to figure out what's driving those changes.

Speaker 1:

It linear, exponential

Speaker 2:

Right.

Speaker 1:

Or something else completely.

Speaker 2:

They've gotta look at the data, calculate differences year to year.

Speaker 1:

And they even use something called quotients.

Speaker 2:

Yeah. Quotients.

Speaker 1:

Now, I'll be honest. I had to, refresh my memory on that one.

Speaker 2:

Oh, yeah.

Speaker 1:

What are quotients, and why are they important here?

Speaker 2:

A quotient is just what you get when you divide one number by another.

Speaker 1:

Okay.

Speaker 2:

So, like, a city's population 1 year divided by the population the year before.

Speaker 1:

Ah, I see.

Speaker 2:

It helps see if the growth is steady, like linear growth.

Speaker 1:

Insistent.

Speaker 2:

Or if it's changing, maybe hinting at exponential growth.

Speaker 1:

So it's like, are we growing at a steady pace, or is it taking off like

Speaker 2:

Like that viral video.

Speaker 1:

Exactly.

Speaker 2:

And the cool thing is the lesson plan hints. One city is perfect for a linear model.

Speaker 1:

Another one just screams exponential.

Speaker 2:

But here's the kicker.

Speaker 1:

There's one that just doesn't fit.

Speaker 2:

The rebel of the group.

Speaker 1:

Messes up our nice, neat models.

Speaker 2:

It's a great way to show that a perfect fit, sometimes you don't get one.

Speaker 1:

It really depends on what the data is telling you.

Speaker 2:

No one size fits all in the real world.

Speaker 1:

And that in itself is a pretty important lesson.

Speaker 2:

For sure. The world's complex, our models, Just approximations sometimes.

Speaker 1:

But even more important than finding the perfect model

Speaker 2:

is being able to explain why you chose that model.

Speaker 1:

What's the reasoning?

Speaker 2:

What's it telling us about how those populations are changing? That's the good stuff.

Speaker 1:

Okay. So we've looked at Paris, Austin,

Speaker 2:

Chicago. Individual cities.

Speaker 1:

But what about the whole planet?

Speaker 2:

The big picture.

Speaker 1:

That's where the second activity takes us.

Speaker 2:

Looking at world population.

Speaker 1:

How it's changed and, And

Speaker 2:

what might happen in the future.

Speaker 1:

No pressure. Right.

Speaker 2:

It's a big one.

Speaker 1:

It's not just those hypothetical cities anymore.

Speaker 2:

This is real global stuff.

Speaker 1:

And it's a lot more, I don't know, open ended.

Speaker 2:

Definitely. Students have to do some real digging.

Speaker 1:

Yeah. Because they don't get the data handed to them this time.

Speaker 2:

They've gotta find it.

Speaker 1:

Reliable population data, and that's a whole other skill. Right?

Speaker 2:

Absolutely.

Speaker 1:

It's like real research.

Speaker 2:

Figuring out where to go, who to trust.

Speaker 1:

Who to trust with those numbers. Yeah.

Speaker 2:

Exactly.

Speaker 1:

And those numbers tell a pretty wild story. Right?

Speaker 2:

Oh, yeah.

Speaker 1:

Back in 1804, world population, get this.

Speaker 2:

Hit a 1000000000.

Speaker 1:

1,000,000,000. Wow. Fast forward to 2011

Speaker 2:

7,000,000,000.

Speaker 1:

7,000,000,000. That's a lot of people.

Speaker 2:

Yes. Huge growth.

Speaker 1:

It really shows you how powerful exponential growth can be.

Speaker 2:

At least for a while.

Speaker 1:

But it's not always predictable. Right?

Speaker 2:

Not at all. No.

Speaker 1:

You can't just draw one of those curves and say, that's it.

Speaker 2:

Nope. Real life doesn't work like that.

Speaker 1:

It's messy.

Speaker 2:

Way messier.

Speaker 1:

And the lesson really emphasizes that. You know?

Speaker 2:

That our models are just tools.

Speaker 1:

Linear, exponential, all helpful, but

Speaker 2:

They have limits.

Speaker 1:

The world is complex.

Speaker 2:

Super complex.

Speaker 1:

So those models, sometimes they just I don't know.

Speaker 2:

They don't capture everything.

Speaker 1:

Yeah.

Speaker 2:

Exactly. There's always more going on than what's in the equation.

Speaker 1:

Just like that rebellious city.

Speaker 2:

Right. Sometimes the data just does its own thing.

Speaker 1:

Throws you a curveball. So how does the lesson handle that when students are looking at, you know, world population, all that data?

Speaker 2:

Well, it encourages them to think beyond just fitting the data to a model.

Speaker 1:

Not just finding the perfect line.

Speaker 2:

Exactly. It's about asking bigger questions. Like what? Like, what could slow down population growth in the future?

Speaker 1:

Or even make it go down.

Speaker 2:

Yeah. What factors play into that?

Speaker 1:

The social stuff, economic stuff, the environment.

Speaker 2:

All of it.

Speaker 1:

It makes you think. Right?

Speaker 2:

Definitely.

Speaker 1:

We've seen these functions linear, exponential, how they help us understand populations changing.

Speaker 2:

From single cities to the entire world.

Speaker 1:

But the real world.

Speaker 2:

It always keeps us guessing.

Speaker 1:

It's never as simple as plugging in a formula.

Speaker 2:

That's for sure.

Speaker 1:

So listeners, until next time. Keep questioning those numbers.

Speaker 2:

And keep exploring.

Speaker 1:

There's always more to discover about the world and how it's changing.