4TH EUROPEAN IMMERSIVE EDUCATION SUMMIT, Vienna 2014

1. Selver
So(ic,
Behnam
Taraghi,
Mar4n
Ebner
Social
Learning
Group,
Graz
University
of
Technology,
Austria
Laurens
De
Vocht,
Erik
Mannens,
Rik
Van
De
Walle
MulBmedia
Lab,
Ghent
University,
Belgium
MINING
AND
VISUALIZING
USAGE
OF
EDUCATIONAL
SYSTEMS
USING
LINKED
DATA
4TH
EUROPEAN
IMMERSIVE
EDUCATION
SUMMIT
IVLEATE’14

2. Agenda
• Mo4va4on,
Challenges
• Methodology
applied
on
case
study
PLE
• Minining
and
Visualising
Usage
of
PLE
• Conclusion
and
future
work

3. Mo4va4on
• Modern
learning
environments
aim
at
integra4on
of
popular
internet
services
• Learners
are
expec4ng
focused
and
simple
plaGorms
helping
them
to
organize
their
learning
process
• Lot
of
logs,
lot
of
data
…Cumulated
system
monitoring
data
(e.g.
logs)
of
such
environments
offers
new
opportuni4es
for
op4miza4on

4. Challenges
• How
can
we:
– reflect
– predict
– reveal
hidden
informa4on
– improve
our
systems
• design
and
make
it
more
usable
and
interes4ng
• sense
the
impact
of
learning

5. Tackling
the
challenge…
• In
order
to
achieve
insight
we
have
to:
– understand
the
context
where
the
informa4on
comes
from
– know
how
to
model,
retrieve,
and
visualize
relevant
data
in
appropriate
way

6. Web
based
PLE
@
TU
Graz
• Unsupervised
Autonomous
Learning
Enviroment
• >
4000
users
• Working
spaces
• Widget
store
• Widget
ra4ng
and
recommender
engine
• hXp://ple.tugraz.at

7. Dataset
• data
from
4000
users
over
two
years
…
• json
logs
• Infoma4on
about
:
– persons
– 4me
– widget

8. Seman4c
Web
&
RDF
• a.k.a.
Web
3.0
a.k.a
Web
of
Data
• Extension
to
the
Web
in
order
to
make
it
more
machine
understandable
• RDF
for
interchange

9. Method

10. Modelling
• IntelLEO
EU
Project
• Ac4vi4es
Ontology
• Model
of
Usage
Logs
http://www.intelleo.eu/ontologies/activities/spec/

11. Querying

12. Visualiza4on
–
Usage
Intensivity

13. Visualiza4on
-­‐
Comparision

14. Conclusions
and
Future
work
• Usefull
method
to
improve
the
usabilty
and
design
of
PLE
• Exposing
the
data
to
the
machines
and
other
services
via
Web
• Enhancement
with
Linked
Data
• Improvement
for
recommenda4on
for
Widgets

16. Contact:
no
maXer
machine
or
human
foaf:Person
foaf:homepage
foaf:Group
selver.softic@tugraz.at
http://about.me/softicselver
Selver Softic
Social Learning Group