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New Patterns for 
ADL Architectures and 
Learning Designs
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
Educational Design 
Integration Patterns
Pillars for our Work 
ADL 
Delivery 
Channels 
Blended 
Learning 
Personalized 
Learning 
XAPI 
and 
TLA 
Integra%ng 
the 
new 
ADL-­‐ 
specs 
with 
exis%ng 
prac%ce
Course 
Mgmt 
Our view on the TLA 
LRS 
Content Broker 
Learner Profile 
LRS 
Content Broker 
Learner Profile 
SCORM 
Sequencing 
Content 
Mgmt 
xAPI 
IMS QTI 
OAuth/IMS LIP 
TLA SCORM 
Learning ADL Tool Management System 
From 
Centralis%c 
LMSes 
to 
distributed 
Learning 
Environments
Our Results build on the 
Experiences in Developing and 
Deploying Two Tools
Mobler Cards
ISN Personal Dossiers 
(http://lab.isn.ethz.ch)
The Baseline for LD set by SCORM 
• Free Choice 
• Linear Sequences 
• Networked Sequences 
• Hierarchical Designs
Baseline for Practitioners 
Hybrid Learning (Design) Model
Ac%vity 
Type 
Role 
Role 
Statement 
Ac%vity 
Verbs 
(choose 
1 
or 
2) 
Interac%on 
Type 
ADL 
Tools
The Hybrid Learning Design 
Model can get used as a Tool for 
Educational Storylines
Learning design as a form of 
arranging learning activities
Our LD Patterns focus on 
the Transitions between 
Learning Activities
Revisit the SCORM Patterns 
• Free Choice – implicit 
• Linear Sequences – easy 
• Networked Sequences – hard 
• Hierarchical Designs – confusing
Learning Design Patterns 
for Extended Blended Learning 
• Preparation Pattern 
• Growth Pattern 
• Integration Pattern (learners integrate 
knowledge) 
• Specialization Pattern 
• Exploration Pattern
All Patterns have been modeled 
with Ilias LMS and Mobler Cards 
(unless indicated otherwise)
Basic preparation Lorem ipsum … 
Lorem 
ipsum 
… 
A 
ques%on 
pool 
is 
open 
un%l 
the 
main 
course 
starts
Homework for face-to-face classes 
Lorem ipsum … Lorem ipsum … Lorem ipsum … 
Every 
week 
a 
new 
ques%on 
pool 
replaces 
the 
old 
ones
The Flipped Classroom 
Lorem Lorem ipsum … Lorem ipsum … 
AMer 
every 
session 
new 
exercises 
are 
ac%vated 
that 
are 
discussed 
during 
the 
next 
session
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
Basic Integration 
Pattern 
Each 
par%cipant 
gets 
specific 
exercises, 
the 
group 
synthesizes 
the 
knowledge
Lorem ipsum … 
Basic 
Specialization 
Pattern 
Online 
Test 
General 
exercises 
are 
available 
to 
all 
Special 
professional 
learning 
needs
Teachers and Trainers can 
implement and control these 
patterns directly from within 
ILIAS using the built-in content 
editor, role management, and 
access-rules
Patterns Beyond Mobler Cards
Basic Exploration
Resource Research 
ISN 
Personal 
Dossiers 
PaXern
Inquiry-based Learning 
Question 
Hypothesis 
Operationali-sation 
Planning 
Data 
Collection 
Commu-nication 
Interpretation 
Discussion 
Data analysis 
Reporting 
h3p://wespot.net
Why is there no reward pattern?
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
The Key Challenge 
How to connect these activity 
patterns across several 
ADL-tools?
Architectural Patterns 
• Proxy LMS Pattern 
• Personal Hub Pattern 
• Integrating Environment Pattern 
• Activity Activation 
• Shadow LMS Pattern
Mobler Cards App Ilias E-Portfolio 
System 
LRS LRS LRS 
Proxy LMS 
Sensor 
Network 
Core 
Mobler 
Cards 
Architecture
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)
Mostly 
PLE VLE 
LRS 
Integrating Environment 
implemented 
by 
Mobler 
Cards 
LRS 
VLE 
LRS 
PLE 
= 
Personal 
Learning 
Environment
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
XAPI 
Activity Stream 
Log Data 
Learning Analytics 
Engine 
Event & Context 
Handler 
LRS 
Applica%on 
Specific 
Why is there no central LRS?
XAPI 
Activity Stream 
Log Data 
Statistics 
UI 
Learning Analytics 
Engine 
Activity 
Provider 
Activity 
Selection 
Event & Context 
Handler 
Learning 
Environment 
Activity Activation Pattern 
Activity 
Activation 
LRS 
Learning 
Design 
Decisions
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)
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
Dr. Christian Glahn 
http://www.isn.ethz.ch 
https://github.com/ISN-Zurich/ 
@phish108 
hXp://slidesha.re/phish108 
hXp://lo-­‐f.at/glahn

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New Patterns for ADL Architectures and Learning Designs

  • 1. New Patterns for ADL Architectures and Learning Designs
  • 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
  • 4. Pillars for our Work ADL Delivery Channels Blended Learning Personalized Learning XAPI and TLA Integra%ng the new ADL-­‐ specs with exis%ng prac%ce
  • 5. Course Mgmt Our view on the TLA LRS Content Broker Learner Profile LRS Content Broker Learner Profile SCORM Sequencing Content Mgmt xAPI IMS QTI OAuth/IMS LIP TLA SCORM Learning ADL Tool Management System From Centralis%c LMSes to distributed Learning Environments
  • 6. Our Results build on the Experiences in Developing and Deploying Two Tools
  • 8. ISN Personal Dossiers (http://lab.isn.ethz.ch)
  • 9. The Baseline for LD set by SCORM • Free Choice • Linear Sequences • Networked Sequences • Hierarchical Designs
  • 10. Baseline for Practitioners Hybrid Learning (Design) Model
  • 11. Ac%vity Type Role Role Statement Ac%vity Verbs (choose 1 or 2) Interac%on Type ADL Tools
  • 12. The Hybrid Learning Design Model can get used as a Tool for Educational Storylines
  • 13. Learning design as a form of arranging learning activities
  • 14. Our LD Patterns focus on the Transitions between Learning Activities
  • 15. Revisit the SCORM Patterns • Free Choice – implicit • Linear Sequences – easy • Networked Sequences – hard • Hierarchical Designs – confusing
  • 16. Learning Design Patterns for Extended Blended Learning • Preparation Pattern • Growth Pattern • Integration Pattern (learners integrate knowledge) • Specialization Pattern • Exploration Pattern
  • 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 Lorem ipsum … Lorem ipsum … Lorem ipsum … 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
  • 27. Resource Research ISN Personal Dossiers PaXern
  • 28. Inquiry-based Learning Question Hypothesis Operationali-sation Planning Data Collection Commu-nication Interpretation Discussion Data analysis Reporting h3p://wespot.net
  • 29. Why is there no reward pattern?
  • 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?
  • 32. Architectural Patterns • Proxy LMS Pattern • Personal Hub Pattern • Integrating Environment Pattern • Activity Activation • Shadow LMS Pattern
  • 33. Mobler Cards App Ilias E-Portfolio System LRS LRS LRS Proxy LMS Sensor Network Core Mobler Cards Architecture
  • 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?
  • 38. XAPI Activity Stream Log Data Statistics UI Learning Analytics Engine Activity Provider Activity Selection Event & Context Handler Learning Environment Activity Activation Pattern Activity Activation LRS Learning Design Decisions
  • 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