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Patterns of Mobile Learning
From Mobile Content and Blended Learning
To Mixed Reality Simulations
Christian Glahn - About Myself
• Researcher at the ISN Zurich (part of the ETH)
!
• 14 years R&D on M-Learning, E-Learning and
Knowledge Management
• Make technology jump through hoops
• Share knowledge and technologies
Content and Analysis Digital Library
Communities E-Education
About Us
C ISN Zürich and CC http://www.flickr.com/photos/floridanationalguardonflickr/7096123921/
since
1994
Develop and promote tools and strategies
for introducing technological innovation for
the organizational education and training in
international relations, security 

and defence.
Our ADL Mission
Mobile 

Learning
Börner	
  et	
  al.,	
  2010
Access to learning
Personalisation
Collaboration
Technologies
Organizations
Contextual Influences
Orchestrating
in and across
Contexts
Next Generation of 

ADL Interoperability
Mobile Learning Activities
Design Patterns for Bridging 

Mobile Learning 

Theory and Technology

Into Practice
What Is A Pattern?
“Each Pattern is a rule which
describes what you have to do to
generate the entity which it
defines.” Alexander,	
  1979:	
  182
“Each Pattern is a three-part rule,
which expresses a relation
between a certain context, a
problem and a solution.”Alexander,	
  1979:	
  247
Activity Patterns
CC	
  http://www.flickr.com/photos/armyciog6/5035777711
Mobile Content

Delivery
Mobile Practicing

and Exercises Mobler	
  Cards
Glahn	
  et	
  al.,	
  2004
Mobile Inquiry-based Learning
Collect	
  real-­‐world	
  data	
  using	
  the	
  sensors	
  of	
  mobile	
  devices	
  

Mixed Reality Simulations
Image:	
  C	
  www.panoramio.com
Ternier	
  et	
  al.	
  ,	
  2012
Supporting Patterns
Mobile Learning Analytics
Glahn,	
  2009;	
  Verpoorten,	
  2013
Mobiles

Learning Badges

Portfolios
http://lo-­‐f.at/glahn/2013/07/xapi-­‐open-­‐badges-­‐and-­‐e-­‐portfolios.html
Connecting Patterns
Mobile Blended Learning
Combined	
  

approach
Timed	
  Activities
Linked	
  Activities
Activities	
  for	
  Groups
Things to Remember
• Mobile Learning is not just a delivery
channel but goes beyond traditional ADL
• New interoperability standards help to
shape new forms of ADL
• Patterns can help translating technologies
into ADL practice
• Conventional ADL systems hold already
the seeds for mobile learning
Dr. Christian Glahn
christian.glahn@sipo.gess.ethz.ch

http://www.isn.ethz.ch 

https://github.com/ISN-Zurich/
@phish108	
  
http://slidesha.re/phish108	
  	
  
http://lo-­‐f.at/glahn	
  
The	
  presented	
  research	
  has	
  been	
  partially	
  
funded	
  by	
  the	
  ADL	
  Co-­‐Labs	
  and	
  awarded	
  by	
  the	
  
Office	
  of	
  Naval	
  Research	
  Global	
  (ONRG)

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