Designing for continuous development using the performance ecosystem. Moving from .5 - 1 hour captive engagements to interesting, exploratory, engagements that allow for close to real-time application.

1. ALWAYS ON:
Designing for Continuous
Development Using the
Performance Ecosystem
John Low @Lowcus

2. TOPICS
 Evolution of work and performer support
 Components of a performance ecosystem
 Performance ecosystem in government
 Technical drivers
Photo Credit: Not Quite a Photographr

3. Monolithic learning events often fall short
I think I
can see it…

4. Factory model based on memorization of facts is no longer needed

5. Factory Model: Consistency and Scale
The factory model of instruction
grew up around the rise of the
production line and the industrial
revolution., with a focus on
consistency and scale.

6. Systematized Training
Two world wars fueled a
massive effort to
systematize training.
Two world wars
fueled a massive
effort to
systematize
training.

7. Learning in a Box: Automation and Self Contained Feedback
Teaching machines
represented early
experiments with
automation and self-
contained feedback.

8. Connected
Photo Credit: mbeo
eLearning is the
ultimate manifestation
of encapsulated self-
contained learning.

9. Artificial Intelligence
“Work becomes the manipulation of symbols,
and when this occurs the nature of skill is
redefined.”
- In the Age of the Smart Machine: The Future of Work and Power
By Shoshana Zuboff

10. Shift from knowing, to knowing
how to find, to being found.

11. Data
Self
Network
Traditional barriers to access are being
removed resulting in more fluid connection
to data, yourself and your peers.

12. Evolution of Work and Performer Support
AT ONE TIME:
Assumed a more or less straight line
between learning and performing

13. Evolution of Work and Performer Support
Now
Assuming:
• Agency
• Access
• Interest

14. Evolution of Work and Performer Support
Enhancing individual and organizational
effectiveness by connecting
people, and supporting them with a
broad range of content,
processes, and technologies
to drive performance.
Marc J. Rosenberg & Steve Foreman
eLearning Guild

15. Photo Credit: Emmanuel Coupe

16. Collaboration
A collaboration platform is
at the heart of a
continuous development
environment. This is the
virtual environment that
users can access resources,
share content, and
collaborate on.

17. INFORMATION ACCESS TOOLS AND SHARED PROCESS
ACCESS PREMIUM CONTENT SELF-SERVE WORKGROUPS

18. Formal and Informal Learning
Formal learning is particularly useful at early stages of knowledge
acquisition. The continuous development environment contains a
mix of formal and informal learning designed to support different
stages of learning.

19. Continuous Development Activity:
An exercise intended to improve
knowledge and skill retention by having
learners experience and apply learning
concepts right within their work
environment.

20. WHAT IT DOES
• Encourage continual
learning
• Provide scenario-
based learning
experiences
• Foster collaboration
and social learning
• Fuse learning and
work spaces

21. Social
Photo Credit: James Cridland
In many ways social learnin
that uses technology is akin
breaking open the “box”. W
rely on our peers as resourc
and for feedback which is
facilitated by the technolog
Social is as old as humanity
social technologies are
impacting performance in t
workplace in a historic way

22. Technical Drivers
If it weren’t for the combustion
engine, New York would no longer
exist due to the preponderance of
horse manure...
Be careful about predictions

23. IoT
The internet of things refers to everything
being addressable from the web. That is to
say everyday objects have a unique
identification paired with some amount of
processing power resulting in the ability to
send and receive information. The amount
and nature of data that we have access to
provides unprecedented views into the world
around us. This can result in the surfacing of
new meaning and better performance and
decision support.

24. Augmented Reality
Augmented reality and the wearable
revolution are further closing the
gap between our observable lives
and the data that permeates
everything.

25. Adaptive Learning

26. Measurement and Feedback

27. SCORM
On January 14, Tommy Caldwell and
Kevin Jorgeson climbed a great big
rock…

28. xAPI

29. Summary