Seamless Learning Technologies

prof. dr. marcus specht

Centre for Learning Sciences and Technologies

Open Universiteit Nederland

marcus.specht@ou.nl

twitter, flickr, facebook: marcuspecht

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# 1 H U M A N L E A R N I N G …

C O N N E C T E P I S O D E S . . .H U M A N S S T R U C T U R E A N D …

… I N A C O N T E X T . . .L E A R N I N G I S E M B E D D E D …

R E F L E C T I O NH U M A N S D O N O T A LW A Y S L I K E T O …

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# 1 H U M A N S A N D T E C H N O L O G I E S …

enhanced

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Learning

Technology

Mobile, Seamless, Ubiquitous

Personalised and Context-Aware

Sensors, BigData, and Analytics

ReflectionAwareness EpisodesCuriosity ...

…

– M A R C W E I S E R

“The most profound technologies are those that disappear. They weave themselves into the fabric

of everyday life until they are indistinguishable from it.”

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# 2 T H E R E A R E S E A M S A N D F L A W S I N T O D AY ’ S L E A R N I N G S U P P O R T

S E A M S I N L E A R N I N G S U P P O R T ( W O N G E T A L , 2 0 0 9 )

• (MSL1) Formal and informal learning;

• (MSL2) Personalized and social learning;

• (MSL3) Across time;

• (MSL4) Across locations;

• (MSL7) Combined use of multiple device types;

• …

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!11distributed synced data ...

M U LT I - D E V I C E O U T P U T

personal and social views ...

embedded in real world …

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real world mashups ...

# 5 S O M E T E C H N O L O G I E S F O R C O N T E X T- A W A R E , C R O S S - C O N T E X T, P E R S O N A L I Z E D , A N D F L E X I B L E O U T P U T

ARLearn Framework, VR and AR

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http://code.google.com/p/arlearn/

mixed reality ga

mes

excursies and

location-based,

mobile multi-pla

yer

ARLearn, Mozilla Badges, Signage System

http://code.google.com/p/arlearn/

multi-output,

gamification and

cross-context

support

context notific

ation and

experience sam

pling

Personal Context Notifications

S O …

• #1 There are seams between the different learning contexts, location, time, social context, …

• #2 There are opportunities with new technologies that are open, ubiquitous, context-aware, and personalized.

• … >

S O …

• #3 Seamless Learning Analytics should support ubiquitous open content access, sensor data aggregation, adaptation (to context and person), and flexible aggregation, visualization and output indicators (ambient displays).

T H A N K Y O U !

M . M . S P E C H T