This document summarizes research done at the ISN on architectural patterns and learning designs for advanced distributed learning environments from 1994 to 2014. It describes several patterns for learning activities, transitions between activities, and integrating multiple tools using different architectural patterns like the proxy LMS pattern. The key challenge is connecting activity patterns across different ADL tools while addressing limitations like high data payloads and unnecessary exposure of user data.
2. 1994 1998 2000 2004 2012 2013 2014
A Short History of
ADL Research at the ISN
ISN’s Digital Library started
ISN’s ADL Activities Started
PfP ADL WG started
Ilias SCORM Editor
Delivery Channels
Ed. Design Patterns
Mobile Mission Support
Promo%ng
and
suppor%ng
ADL
in
Europe
17. All Patterns have been modeled
with Ilias LMS and Mobler Cards
(unless indicated otherwise)
18. Basic preparation Lorem ipsum …
Lorem
ipsum
…
A
ques%on
pool
is
open
un%l
the
main
course
starts
19. Homework for face-to-face classes
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Every
week
a
new
ques%on
pool
replaces
the
old
ones
20. The Flipped Classroom
Lorem Lorem ipsum … Lorem ipsum …
AMer
every
session
new
exercises
are
ac%vated
that
are
discussed
during
the
next
session
21. Basic Growth Pattern
C.1
C.2
C.3
C.4
TEST
E.1
E.1+2
E.1+2+3
E.1+2+3+4
More
exercises
become
available
with
every
completed
chapter
22. Basic Integration
Pattern
Each
par%cipant
gets
specific
exercises,
the
group
synthesizes
the
knowledge
23. Lorem ipsum …
Basic
Specialization
Pattern
Online
Test
General
exercises
are
available
to
all
Special
professional
learning
needs
24. Teachers and Trainers can
implement and control these
patterns directly from within
ILIAS using the built-in content
editor, role management, and
access-rules
30. Guides
what
can
be
evaluated
or
assessed
Guides
what
can
be
evaluated
automa%cally
(or
gamified)
For
related
paXerns
see
Glahn,
2009,
Verpoorten,
2013,
and
Kelle,
2013
31. The Key Challenge
How to connect these activity
patterns across several
ADL-tools?
34. Mobile App VLE
Personal Hub
LRS
LRS
Sensor
Network
Mobile App
LRS
Sensor
Network
Mobler
Cards
synchronizes
instances
via
the
LMS
VLE
=
Virtual
Learning
Environment
(or
LMS)
35. Mostly
PLE VLE
LRS
Integrating Environment
implemented
by
Mobler
Cards
LRS
VLE
LRS
PLE
=
Personal
Learning
Environment
36. Mobile App
LRS
HR-Mangement
System
LRS
Complex Integration
Local
Sensor
Network
Simulation
LRS
Local
Sensor
Network
VLE
LRS
VLE
LRS
E-Portfolio
System
LRS
SCORM
My
Future
Vision
of
a
Learning
Environment
37. XAPI
Activity Stream
Log Data
Learning Analytics
Engine
Event & Context
Handler
LRS
Applica%on
Specific
Why is there no central LRS?
39. Digital Library VLE
Proxy Content
Interaction Script
CMI /
LRS
CMI /
LRS
Content
Shadow LMS Pattern
DRM
Content
and
Learning
Processes
are
Managed
in
Different
Systems
(supported
by
ISN
Personal
Dossiers)
40. Limitations
• High payload built into XAPI streams
• Not really optimized for mobile apps
• Unnecessary exposure of user data (shadow LMS)
• XAPI still bound to a client-server architecture
• Missing filters and triggers
• Avoid implicit models such as found in IMS Simple
Sequencing
• Unclear how main activity stream should get filtered in
practice (e.g. for course facilitators and students)
• TLA is unspecified at a functional level (yet)
• Missing process model
41. Dr. Christian Glahn
http://www.isn.ethz.ch
https://github.com/ISN-Zurich/
@phish108
hXp://slidesha.re/phish108
hXp://lo-‐f.at/glahn