1. Seamless Learning
Technologies
prof. dr. marcus specht
Centre for Learning Sciences and Technologies
Open Universiteit Nederland
marcus.specht@ou.nl
twitter, flickr, facebook: marcuspecht
!1
8. “The most profound technologies are those that
disappear. They weave themselves into the fabric
of everyday life until they are indistinguishable
from it.”
–MARC WEISER
8
9. #2 THERE ARE SEAMS AND FLAWS
I N T O D AY ’ S L E A R N I N G S U P P O R T
10. SEAMS IN LEARNING SUPPORT
(WONG ET AL, 2009)
• (MSL1) Formal and informal learning;
• (MSL2) Personalized and social learning;
• (MSL3) Across time;
• (MSL4) Across locations;
• (MSL7) Combined use of multiple device types;
• …
10
15. #5 SOME TECHNOLOGIES FOR
C O N T E X T- A W A R E ,
C R O S S - C O N T E X T,
PERSONALIZED,
AND FLEXIBLE OUTPUT
16. ARLearn Framework,VR and AR
http://code.google.com/p/arlearn/
es
d,
am
a se
yg
alit
n-b
re
atio
loc
ixe d
m
an d
ies
yer
urs
pla
exc
ltimu
bile
mo
!
!
!
17. ARLearn, Mozilla Badges, Signage System
http://code.google.com/p/arlearn/
t,
tpu
i-o u
lt
d
an
mu
tion
o rt
ca
ifi
upp
ts
g am
tex
con
osscr
21. SO …
• #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.
• …>
22. SO …
• #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).