Presentation from Association for Talent Development from 5-21-2017 @ International Conference in Atlanta, GA. Delivered by Zach Posner, SVP from McGraw-Hill Education.
What training can learn from master athletes, musicians, and artists.
1. What training can
learn from master athletes,
musicians, and artists
ZACH POSNER
SVP & Managing Director
McGraw-Hill Education
Learning Science Platforms
Zach.Posner@mheducation.com
3. What do these things have in common?
Pictures from:
http://latimesblogs.latimes.com/sports_blog
http://www.ctandi.org/link-flight-simulator/
http://www.urbanfutsal.la/
1. Shaquille O’Neal
practicing free throws
at odd distances (14
feet and 18 feet instead
of standard 16 feet)
2. Link Trainer (plane)
3. Brazilian Futsal
(soccer in the room)
4. Let’s try an activity…
A B
ocean / breeze bread / b_tter
leaf / tree music / l_rics
sweet / sour sh_e / sock
movie / actress phone / bo_k
gasoline / engine chi_s / salsa
high school / college pen_il / paper
turkey / stuffing river / b_at
fruit / vegetable be_er / wine
computer / chip television / rad_o
chair / couch l_nch / dinner
From The Talent Code by Daniel Coyle
5. Let’s try an activity…
How many words did you remember?
6. Myelin: the science of talent and mastery
“(Myelin) looks fantastically, unrelentingly, stupendously dull. If the brain is a
Blade Runner cityscape of dazzling neuronal structures, flashing lights, and
whizzing impulses, then myelin plays the humble role of asphalt…”
– Talent Code
https://srxawordonhealth.com/tag/myelin-sheath/
7. Mastery in the making
MASTERY
Intentional
Focus
Challenge
Excess Skill
Immediate
Feedback
Repetition to
Automaticity
10. Repetition to Automaticity
“We’re forever building vast, intricate circuits, and we’re simultaneously
forgetting that we built them.” -The Talent Code
11. Immediate Feedback
“The truth can hurt but it never harms.”
-Elite Minds, Stan Beecham
Feedback…
-Identifies specific weaknesses,
focuses further effort
-Confirms understanding,
builds confidence
-Illuminates framework of
knowledge
-Offers opportunity for adjustment
in perception and behavior
12. Characteristics of effective feedback
• Specific information
• Information on a performance
the person controls
• Immediately following
performance
• Individualized
• Self-monitored
• Delivered by the person
in charge
• Focused on improvement
• Easily understood
• Graphed or visualized
• Used as an antecedent to
reinforcement
-Daniels, A.C & Daniels, J.E (2004)
Performance Management
13. Everyone has a goal
Personal Goals
Be a dynamic
public speaker
Complete a
triathlon
Write a novel Be a great cook Learn to code Improve fitness
14. Why are we often unable to reach our goals?
INABILITY TO REACH GOALS
Lack of focus (don’t know
exactly what to do next)
Lack of support or
social framework
Too big or
vague
Not enough
feedback or
feedback too slow
Not enough
practice
No clear path
forward
No achievements
to show
15. Let’s take inspiration from areas where we seem
to need no motivation
Addiction
Gaming
Shopping
(physical and
online)
Social media
16. Consumer media looks like this now…
Copy Text Copy Text
SEAMLESS
DATA-DRIVEN
GAMIFIED
SOCIAL
MICRO
INTEGRATED
HUMAN-CENTRIC
PERSONALIZED
JUST-IN-TIME
CLOUD-BASED
17. Data driven and optimized to encourage relentless
“practice”
ecommerce Shopping
Videos/Movies Games
18. Introducing: the perfect work-out machine
for your brain
Focus, Challenge,
Feedback,
and Repetition
19. Data used to optimize each learner’s experience
Entertainment
Learning
Like Dislike Star
Rating
Time Tagging
Factors
Demographic
Factors
Accuracy Confidence Time Cohort
Trends
24. Traditional and Computer-Assisted Training
Instructor and Computer-based (CBT)
LMS becomes the Administrative Platform
The E-Learning Era
Materials On-Line, Information vs. Instruction
Blended and Informal Learning
Mixing forms of media with informal learning
Learning on demand with Integrated Programs
Collaborative, Talent-Driven Learning
Formalize Informal Learning
Collaboration and talent management by Design
2009 +
2005 +
2000 +
1990’s
The Evolution of Corporate Learning
25. The Evolution of Corporate Learning
Traditional and Computer-Assisted Training
Instructor and Computer-based (CBT)
LMS becomes the Administrative Platform
The E-Learning Era
Materials On-Line, Information vs. Instruction
Blended and Informal Learning
Mixing forms of media with informal learning
Learning on demand with Integrated Programs
Collaborative, Talent-Driven Learning
Formalize Informal Learning
Collaboration and talent management by Design
Mastery-Based Adaptive Learning
Personalized, Competency-Based
Data-Driven, Digital, Seated in Science
2016 +
2009 +
2005 +
2000 +
1990’s
26. Beyond the individual: unlock organizational
performance
26
Measurement Mastery Efficiency Engagement Agility
When insight
into learning is
needed
When compliance and true
proficiency are required
When real participation
is necessary
When learners are diverse
in incoming skill and require
individual paths
When learning needs to
translate into action or
behavior change
27. ROI: Possible metrics to evaluate learning
ROI METRIC
Measurement
Mastery
Efficiency
Engagement
Agility
DESCRIPTION EXAMPLE
Learning, content, and
cohort analytics down to the
objective
Increase in proficiency rates,
organizational readiness
Reduces training time (opex
savings, increased productivity
in redistributed full-time hours)
Increased retention, improved
quantitative and qualitative
survey data
Decreased course versioning
time, increased revenue,
margin, market penetration
75% of learners who exceed
their sales quota complete
100% of objectives in 1 month.
1000 learners achieved
100% mastery of 50
Learning Objectives, up
from 65% mastery.
45% increase in efficiency due
to transition from one-size-fits
all to personalized learning.
95% of learners would
recommend the course to
others. Up from 55%.
Faster speed to credential
has led to 10% increase in
revenue from professional
service employees. 27
29. MHE adaptive leverages investment in science
and technology
29
$175M+ Investment per
Year in Digital Platforms
2012
DPG Formed
2017
Growth via
Investment
450
Engineers,
etc
200
Engineers,
etc
$
1,600+
Adaptive products
4,000
Authors trained to use MHE Adaptive
5,000,000
Learners using MHE Adaptive
10,000,000,000
Data Layer Interactions
MHE Adaptive
Growth via
Acquisition
Growth via User Knowledge