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®

Bob Suh, CEO and Founder

CAN MACHINE LEARNING IMPROVE HUMAN LEARNING?

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Why should you care about research in what makes masters different?

?

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Masters are exponentially more productive1

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Masters can be developed as research indicates training beats raw talent2

Source: Anders Ericsson

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The methods and decisions your masters make can influence others4

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What does the research tell us about what masters do differently?

?

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Masters mindfully follow a structure for learning1

1

1.1

1.2

1.1.1

1.1.2

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Masters train to improve brain plasticity*2Retrieval practice Spacing Interleaving

* Research from Brown, Roediger and McDaniel “Make it Stick: The Science of Successful Learning”

Read

From

To

Quiz

Identify weak spots

Selectively re-read

Read Re-read Read

Read session

1

Read session

2

Read session n

Read topic 1 Read topic 2

Read topic 1

Read topic 2

Read topic 1

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Masters are mindful and focus on problems3

70%

30%

42%

58%

You Masters

Illustrative % practice time

Whole piece

Problem areas

Mic

ro G

oal:

5X in

row

no

erro

rs

Total hours

Illustrative hours to optimal

Masters

You

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Masters use “representation” to learn4

Top gun pilots learn from top pilots using “power projection”

methods and simulating dog

fights

Writers learn in workshops from

published authors by sharing and critiquing work

Musicians attend master classes with virtuosos and hear

each other play, stop, and evaluate

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Masters focus on changing micro decisions over broad macro goals5

Macro goal

1

Choice 1.1

Choice 1.2

Choice 1.1.1

Choice 1.1.2Micro decision 1.x

Micro decision 1.1.x

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Hours, adjustment and repetition matter6M

acro

goa

l

EXPERIENCE CURVE

Hours of experienceP

roba

bilit

y of

adh

eren

ce

MAKE A HABIT

Number of times

20-30

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We are applying this research to help organizations nurture mastery

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We apply a rigorous automated method11

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What data do we need to evaluate our goal?

2

25%

45%

17%

100%

39%

What are the odds

we’ll meet our goal?

3

+

What scenarios

may change our odds?

4

Are the right people

reacting to our nudges?

5

How may we adapt based

on the response?

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We can analyze data to measure where to focus2

30%

70%

20%

Hours devoted

Focus on problems and adjust?

90%

40%

> x

< x

Yes

No

Adhered to nudges set by masters?

100%

40%

Yes

No

Overall odds of

achieving mastery

• This is an illustrative decision tree used by OnCorps

• Each circle is the conditional probability of achieving mastery if they follow the decision path

• The system automatically structures the tree on the factors that matter most

• The tree updates in real-time as users learn on mobile apps

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We rapidly integrate machine learning with apps3Decision Nudge now

< Messages

Will you spend more time finding leads with active projects?

Yes

Great. I’ll check-in next month to see how it’s going.

Console tracks engagement, adherence and outcomes

Create and edit tools

Set new nudgesData feeds console

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Our apps compare decisions with top performers to make people more aware 4

18®

©

Cambridge, Massachusetts | Bristol, United Kingdom

All rights reserved.

THANK YOU

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