seamless learning technologies
DESCRIPTION
Speedlabor presentation about mobile seamless learning.TRANSCRIPT
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Seamless Learning Technologies
prof. dr. marcus specht
Centre for Learning Sciences and Technologies
Open Universiteit Nederland
twitter, flickr, facebook: marcuspecht
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# 1 H U M A N L E A R N I N G …
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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 …
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… 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 …
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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 …
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enhanced
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Learning
Technology
Mobile, Seamless, Ubiquitous
Personalised and Context-Aware
Sensors, BigData, and Analytics
ReflectionAwareness EpisodesCuriosity ...
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– 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
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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 ...
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M U LT I - D E V I C E O U T P U T
personal and social views ...
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embedded in real world …
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real world mashups ...
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# 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
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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
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ARLearn, Mozilla Badges, Signage System
http://code.google.com/p/arlearn/
multi-output,
gamification and
cross-context
support
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context notific
ation and
experience sam
pling
Personal Context Notifications
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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.
• … >
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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).
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T H A N K Y O U !
M . M . S P E C H T