When you're in a situation where there's just a ton

of certainty, it's actually pretty easy to do strategic thinking.

You look at the variables, you make a plan and you implement it.

It's like if you want to cook a dish you know how

to cook; get the recipe, buy the ingredients, cook it, you're out.

But a new chef creating a brand new dish has a totally different process.

That chef might start by getting inspiration

from what other chefs have done and

then using their expertise to assemble a

bunch of interesting ingredients that might work well

together and then trying it and tasting it and

getting lots of feedback from other chefs, and then essentially

iterating their way to a successfully brand new dish that

they didn't even have a conception of before they started.

>> So redesigning whole classrooms and schools.

For this new blended learning world, is a lot more like that chef creating that

brand new dish, than you or I

just simply following directions and roasting a chicken.

There's just no playbook about how

to do this.

And to be frank, a lot of the software and hardware ingredients aren't all there yet.

>> But this does not mean you can just be wildly experimental and

throw it up to saying, oh, Michael and Brian told me to iterate, right.

It's more like the scientific process.

You create a thoughtful hypothesis and then you figure out a

way to test it in the quickest and easiest way possible.

And then based on that data, you pursue one of two paths.

Are there more of what you've been doing or less?

It's a rigorous

thinking process.

>> There are several bodies of thought around how to test,

learn, and adjust as you build a solution to a problem.

Design thinking, lean startup methodology and discovery-driven planning.

These are each important topics in their own right.

But here, just for time's sake, we basically

combined them into a survey of these ideas

to help give you a process for how you're going to innovate in your own context.

Now the nice thing is, if you followed

up with the assignments throughout this course, you're actually going

to be in great shape because they parallel these processes already.

So let's dive in.

When you're doing something new in education but that's relatively similar

to what you've done before, the process is actually pretty straightforward.

Just think about purchasing a text book.

You get a group of people together, you evaluate your options, and you pick the

text book and then you roll it out in the classroom like you've always done.

But if its uncertain conditions it's totally different.

Think about Steve Jobs and Apple launching the first iPod.

If they have taken the playbook from Sony on launching the Walkman cassette

player they would have missed huge opportunities

that this new model allowed for them.

Things like the iTunes store or even the phenomenon of

streaming music or the marketing idea: 40,000 songs in your pocket.

>> Exactly and Summit public schools one of our

protagonists is a lot closer to Apple than the textbook.

When they were implementing a model with playlists, that's

something that really had not been done before in education.

>> So what a change in iteration

usually looks like in most schools, and certainly the schools that I worked in.

Is that every year in August we would launch something new.

And it's something that we worked over the summer to plan for and create.

And whether it's a teacher in their classroom or a school

We'd launch it, and then we'd run it for the entire year.

And we wouldn't change anything during the year.

And honestly, we wouldn't really gather data about how it was working or not.

Some time

in the spring, as we were thinking about the next fall

and staffing and budget, we'd be like, should we keep doing that?

Yes, no, maybe, you know, whoever was at the

table, it was sort of arbitrary how it'd be decided.

And that's kind of what got happen, what happened for the next iteration.

It wasn't disciplined, it wasn't focused, it wasn't data-driven.

So we knew we needed a different process.

And so we found and adopted the Lean Startup by Eric Ries.

As an iterative process for what he calls the Build-Measure-Learn cycle.

Where you actually build something but your intentional about your build.

What problem are you trying to solve?

You in advance say what am I going to learn from this?

What am I going to measure if it's successful?

And then you actually intentionally gather that data measure it, learn from

it, and then you don't just go do it again or not.

You actually iterate on what you done

based on that measurement and that learning.

>> So when you're implementing something in education that's totally new

and unfamiliar, we suggest a framework that has six key steps.

The first step is to get clear on your objectives.

You need to know your desired goals.

Then figure how you're going to measure results.

How will you know if you're succeeding or failing?

And what data will you need to be measuring?

Step three

is to commit to action. The learning happens by doing.

So you create many tests that allow you to figure out what is or is not working.

And then you collect feedback from the students and the teachers involved.

>> And lastly, you keep iterating your way to success

by doing more of what's working and tweaking what's not.

Being clear on your objectives is essential so

you're not just floundering your way through this process.

And remember your objective is not about technology itself.

You're not just saying my goal is to have iPads in the classroom.

Because that's self-referential.

It's always about the learning you're trying to create, and

the way that you think technology will help you get there.

>> In step two, figure out how you're going to measure your results.

And figure out what your data

that you're actually going to use, so that

you know if you're being successful or not.

Now when we talk about data, we don't just mean test scores.

You can use those but you can also use

things like student engagement, how much time are they

spending with teachers, factors like that that lead you

to understand if your model is actually being successful.

>> Committing to action is really important

because this can't just be a theoretical exercise.

It's like a chef when they get their

ingredients together, at some point they have to put

it in the pan and see what happens when

you introduce heat and have the flavors melt together.

And in education, that happens when you put this in front of real students.

You have to be willing to get your hands dirty and try these ideas.

Otherwise it's just all an exercise of thinking on paper.

So roll up the sleeves and try this work as part of committing

to action.

>> The important thing though, is that as you

try out these ideas, you're not doing so in

these big high-stakes roll-outs that have just huge risk

if you get it wrong out of the gate.

Instead, you want to really create many tests in step four that are

just really cheap, low cost ways to test out ideas and prototype really rapidly.

And what a lot of people call a minimum viable product, or

an MVP.

Basically, a way that allows you to test really, really quickly

whether something's going to work, so that you have time to iterate.

>> It's like you're designing a new phone interface, you don't

build the whole software code and release it to the world.

You might start by taking your phone and just sticking a post-it note on it.

And drawing the sort of, experiences that you

want the students, or the users to have.

And then you can tear through post-it notes before you even

write a, a line of code, you can learn a huge amount.

>> One example

of how we learn that prototyping is so important to the innovation process is

when we didn't do it actually is when we decided to go through every

single step and like, get ready to release like, a new tool for our

students without going through and examining what

it would look like for one student.

And halfway through Thanksgiving break.

30 hours into the project I'm like, two people are on the phone.

We're like it doesn't show up on his computer, like I don't know why.

Like, the links aren't working and I'm not sure why.

So then we had to stop, we had already created something for 200 students at that

point, and we had to go back every single step and see where we went wrong.

And in those hours of re-correction like, it was a lesson over and over again.

Like great, this is why you do small batch testing and this

is why you have to prototype right away because you are able

to get a tool into the hands of the users as fast as possible and then you

can iterate from there on out instead of

having to spend anytime fixing what doesn't make sense.

>> Typically in education when we try something new it's a multi-year process

with huge planning teams and we spend a ton of money and do all

these things and then finally give it to students to see if it even

is a good idea or not and its almost the opposite of an MVP.

And in comparison there's a school that we support at Silicon Schools

that's called Caliber Schools, and they took a much more MVP approach.

They decided to start a summer prototype to try

out their ideas before they even opened their school.

Caliber wanted to test out what kinds of support

students would need to be successful in their model.

Or whether students without much computer experience could be taught to code.

Or what kind of teachers could be most successful in their model.

By building

a real laboratory, they could test all these ideas

out in person versus just a hypothetical argument on paper.

>> And just think about how much easier this is to do when

you're doing it in a summer school outside of the normal school environment.

Just as the theory proves true or doesn't

prove true, you can make adjustments much more easily.

And after school is actually a very similar space for you to be

able to try these sorts of ideas out and have that freedom to iterate.

>> And

when you're in this prototyping stage and you're coming up with new ideas, remember

how important it is to get lots of different people as part of this process.

So you can actually think outside of the box.

>> I think the beauty about prototyping is that you don't need that many tools,

you just need a mindset and you need a process, and so really, the way

we started prototyping is we took butcher paper and we just threw up slabs of

butcher paper on a wall and we

said, identify the problem, look, anything that bothers

you just write it up here.

And anyone who has a solution to it, do the same.

Take a marker.

Write, go. Use your brains.

Be creative.

Let's be a team.

And then as we saw the problems formulating.

Then we just made many teams.

And we thought through different problems, came up with different proposals,

brought it back to the team, and enacted it within a week.

so that was a really powerful way for us to ensure that the teachers

are the drivers of innovation and the

teachers were a part of the design process.

Because they were the ones who best able

to identify the problems right off the bat.

The Process of Innovation I

Blended Learning: Personalizing Education for Students

Meet the Instructors