People are learning everywhere. Modern and natural learning happens on mobile devices, in social networks, on the job, and via formal assessments. It happens on numerous systems, from Yammer and SharePoint to SkillSoft and Khan Academy. Organizations are spending hundreds of thousands of dollars to create this training using old technology standards. As a result, data is stuck in silos and L&D has little to no idea what training is effective or how it impacts business results.
This session provided a brief non-technical overview of the Experience API and showed real-use cases inside organizations. It also covers how to assess organizational readiness, strategic planning, and practical implementation. Participants will acquire the knowledge needed to improve organizational performance using the Experience API.
2. How
many
of
you…
…have
a
comfortable
knowledge
of
xAPI?
…have
employees
using
social,
informal,
and
mobile
learning
tools?
…get
meaningful
analysis
about
learning?
…feel
limited
with
your
current
learning
system?
3. Agenda
• Assessing
organizaHonal
readiness
for
xAPI
• Planning
for
the
xAPI
ecosystem
• Analyzing
learning
data
through
models
• GeJng
started
implemenHng
xAPI
ecosystem
5. Wave
of
Change
• Employees
learning
everywhere
• ShiMing
to
a
Performance
Support
model
• Mobile
is
the
“go-‐to-‐tool”
for
informaHon
6. Yammer,
CommuniHes
&
Chat
Instructor
Led
Training
Online
Training
DocumentaHon
(SharePoint
or
Intranet)
Virtual
Classroom
Email
Webinar
Coaching
Peer-‐to-‐Peer
TwiWer
and
Text
Youtube
Web
Searches
(Google
and
Bing)
Learning
Experiences
Everywhere
7. Learning
Leader
Challenge
• Can’t
see
90%
of
employee
learning
experiences
• Data
stuck
in
silos
• Measuring
effecHveness
and
analysis
is
difficult
Learning
Management
System
9. What
is
xAPI
“The
Experience
API
is
an
e-‐learning
soMware
specificaHon
that
allows
learning
content
and
systems
to
speak
to
each
other
in
a
manner
that
records
and
tracks
all
types
of
learning
experiences”.
10. Part
1
-‐
The
xAPI
Statement
[Something]
says
that
[I]
[did]
[this]
in
the
context
of
[
_____
]
with
result
[
_____
]
on
[date]*.
[Something]
says
that
[I]
[did]
[this]
Can
include
instructor,
groups,
team,
geographies,
and
much
more.
11. Part
2
-‐
Learning
Record
Store
• A
Learning
Record
Store
(LRS)
is
a
repository
for
learning
records
(statements)
34. OrganizaHonal
Beliefs?
A. e-‐Learning
courses
are
the
primary
place
for
learning
B. Blended
experiences
are
“must
have”
for
learning
34
or
35. OrganizaHonal
Beliefs?
A. One
size
fits
all
for
mass
learning
B.
Personalized
learning
is
important
35
or
36. OrganizaHonal
Current
State?
A. Learning
happens
in
a
single
locaHon
or
system
B. MulHple
devices,
systems,
and
tools
are
supported
places
for
learning
36
or
37. OrganizaHonal
Measurement?
A. Learning
acHviHes
do
not
have
to
connect
with
business
outcomes
B. Learning
acHviHes
should
connect
with
business
outcomes
37
Or
39. Confucius
Says…
All
A’s
“Do
not
impose
on
others
what
you
do
not
desire”
More
A’s
than
B’s
“It
does
not
ma@er
how
slowly
you
go
as
long
as
you
do
not
stop”
More
B’s
“Wheresoever
you
go,
go
with
all
your
heart”
39
41. Mobile
Phone
Company
• Seat
at
the
table
• Change
the
conversaHon
• Focus
on
behaviors
• Measure
Success
“High
5”
42. Ask
Ourselves
• What
behaviors
do
top
performers
exhibit?
• Can
we
quanHfy
the
behavior
change?
• What
impact
will
training
have
on
sales?
• Where
do
we
get
all
the
data?
43. Answer
ExecuHve
QuesHons
• How
ready
is
my
sales
force?
• Will
training
increase
my
sales?
• What
are
my
top
performers
doing?
44. “High
Five”
Outcome
• Greet
a
customer
• Ask
probing
quesHons
• Recommend
a
soluHon
• Ask
for
the
sale
• Support
the
sale
13%
Sat
Survey
8%
Sales
15%
Returns
Business
Outcome
=
$$$$$$$$$
Personal
Outcome
=
Seat
at
the
table!
55. Yammer,
CommuniHes
&
Chat
Performance
Outcomes
Online
Training
DocumentaHon
(SharePoint
or
Intranet)
Virtual
Classroom
Email
Webinar
Third
Party
Self
ReporHng
TwiWer
and
Text
POS
Surveys
Sources
of
Data
58. Steps
to
GeJng
Started
1. Commit
to
a
performance
support
model
2. IdenHfy
sources
of
employee
learning
3. Start
small,
prove
the
model,
and
expand
over
Hme
4. Iterate
what-‐who-‐how
you
are
analyzing
58
59. SelecHng
a
LRS
• Levels
of
FuncHonality
– Basic
aggregaHon
of
data
– Standard
reporHng
– Advanced
analysis
• Within
an
LMS
or
Independent?
– FuncHon
– Pricing
• SoMware
as
a
Service
(SaaS)
or
installed
59