What do analytics on learning analytics tell us? How can we make sense of this emerging field’s historical roots, current state, and future trends, based on how its members report and debate their research? Challenge submissions should exploit the LAK Dataset for a meaningful purpose. This may include submissions which cover one or more of the following, non-exclusive list of topics: Analysis & assessment of the emerging LAK community in terms of topics, people, citations or connections with other fields Innovative applications to explore, navigate and visualise the dataset (and/or its correlation with other datasets) Usage of the dataset as part of recommender systems Analysis of the evolution of LAK discipline Improvement or enrichment of the LAK Dataset

1. Mo#va#on
Data
on
the
Web
Some
eyecatching
opener
illustra#ng
growth
and
or
diversity
of
web
data
LAK
–
Data
Challenge
2014
#LAKdata14
Stefan
Dietze
,
Eelco
Herder
(L3S
Research
Center,
DE)
Mathieu
d’Aquin
(The
Open
University,
UK)
Davide
Taibi
(Ins=tute
for
Educa=onal
Technologies
CNR,
IT)
Hendrik
Drachsler
(Welten
Ins=tute,
Open
Universiteit
Nederland,
NL)
09/04/13Hendrik Drachsler

2. 26 March 2014Hendrik Drachsler 2

3. 3
• Assistant
Professor
on
Technology-­‐Enhanced
Learning
• Research
topics:
Personaliza=on,
Recommender
Systems,
Learning
Analy=cs,
Mobile
devices
• Applica=on
domains:
Science
2.0
Health
2.0
WhoAmI

4. 4
Research Projects

5. 09/04/13
LAK
Challenge
–
sponsored
by
LinkedUp
§ EC-­‐funded
support
ac#on,
started
in
11/2012
§ Three
pillars:
§ LinkedUp
Challenge:
open
data
compe==on
(over
1.5
years)
[
hVp://linkedup-­‐challenge.org
]
§ Linked
Educa#on
Data:
data
&
catalog
for
large-­‐scale
educa=onal
Web
data
applica=ons
§ Evalua#on
Framework
for
open
data
applica=ons
http://www.linkedup-project.eu/
Partners
Stefan Dietze

6. LinkedUp Consortium

7. LinkedUp Network

8. LinkedUp
Data
Catalogue
hVp://data.linkededuca=on.org/linkedup/catalog/

9. LinkedUp
Data
Catalog
in
a
nutshell
Stefan Dietze 26 March 2014
hVp://data.linkededuca=on.org/linkedup/categories-­‐explorer
§ RDF
dataset
catalog
of
Linked
Open
Data
for
learning
§ Browse,
explore
and
query
across
the
LOD
cloud
§ Federated
queries

11. § Open
&
focused
track(s)
§ Final
events
at
ESWC2014
(May,
Crete)
§ Open
Track
only
§ Final
events
at
OKCon
2013
(September
2013,
Geneva)
§ Open
track
&
focused
tracks
§ Submission
details
and
calls
to
be
released
soon
§ Final
events
at
ISWC2014
(October,
Riva
del
Garda,
Italy)
May
–September
2013
October
2013
–
May
2014
May
2014
–
October
2014
?

12. Veni
shortlist
&
winners
DataConf.
KnowNodes
Mismuseos
ReCredible
YourHistory
26 March 2014
hVp://www.globe-­‐town.org/
WeShare
-­‐
3rd
price
/
people‘s
choice
GlobeTown
-­‐
2nd
price
hVp://seek.cloud.gsic.tel.uva.es/weshare/
hVp://www.polimedia.nl/
PoliMedia
–
1st
price

13. 1st
Place:
PoliMedia
Exploring
poli=cal
debates
&
events
09/04/13Stefan Dietze
§ Explora#on
of
poli#cal
debates
and
news
coverage
§ Automa=cally
generated
links
between
transcripts
debates,
newspaper
ar#cles,
§ Generated
data
available
as
Linked
Data
(
hVp://data.polimedia.nl)
§ Data
sources:
1)
newspapers
in
their
original
layout
of
the
historical
newspaper
archive,
and
2)
radio
bulle=ns
of
the
Dutch
Na=onal
Press
Agency
(ANP)
§ 9000+
debates
(1945
–
1995)
§ Over
3000
media
links
Mar=jn
Kleppe,
Max
Kemman,
Henri
Beunders
(Erasmus
Universiteit
RoVerdam),
Laura
Hollink
Damir
Juric
(Vrije
Universiteit
Amsterdam),
Johan
Oomen
Jaap
Blom
(Nederlands
Ins=tuut
voor
Beeld
en
Geluid)
hVp://www.polimedia.nl/

14. 2nd
Place:
GlobeTown
Open
data
for
sustainable
development
09/04/13Stefan Dietze
§ Exploring
interac=on
between
data
about
environment,
economy
and
society
(cause
and
effect
in
complex
systems)
§ Diverse
open
government
data:
§ SWERA
renewable
energy
data:
hVp://swera.unep.net/,
§ UN
Comtrade
trade
data:
hVp://comtrade.un.org/,
§ Country
names
and
codes:
hVp://opengeocode.org,
§ OECD
sta=s=cs:
hVp://stats.oecd.org/,
§ World
Bank:
hVp://data.worldbank.org
§ Top
three
at
Apps4Climate
compe==on,
held
by
the
World
Bank
Jack
Townsend,
Andrea
Prieto-­‐Vega,
Richard
Gomer,
Will
Fyson,
Dom
Hobson,
Huw
Fryer
(University
of
Southampton,
UK)
hVp://www.globe-­‐town.org/

15. 3rd
Place/Peoples
Choice:
WeShare
Exploring,
annota=ng,
ra=ng
educa=onal
ICT
tools
Stefan Dietze 26 March 2014
§ Social
&
seman=c
annota#on
applica=on
for
educa#onal
ICT
tools
§ Aids
educators
to
find
tools
to
support
teaching
at
all
educa=onal
levels
§ Gathers
and
enriches
data
from
exis=ng
registries
and
datasets
§ Currently:
approx.
7000
tool
descrip#ons
§ Crowdsourcing:
educators,
tutors
etc
can
modify
and
enrich
data
Adolfo
Ruiz-­‐Calleja,
Guillermo
Vega-­‐Gorgojo,
Juan
I.
Asensio-­‐Pérez,
Eduardo
Gómez-­‐Sánchez,
Miguel
L.
Bote-­‐Lorenzo,
Carlos
Alario-­‐Hoyos
Universidad
de
Valladolid,
Universidad
Carlos
III
de
Madrid,
Valladolid,
Spain
hVp://seek.cloud.gsic.tel.uva.es/weshare/

16. Veni
Awards,
OKCon,
Geneva
• Live streaming of awards
• 900+ at event
• Video of awards online

17. 17
November
2013 –
May 2014

18. Vidi
Compe##on
Focused Tracks
Looking for prototypes that solve a particular problem
Open Track

19. Overview
• 14 entries from 12 countries
• Currently being looked at by review panel
• Assessing using evaluation framework
• Winners will be announced at ESWC in Crete, May 2014
• Prizes for open track and focused track
• People’s Choice
Vidi
Compe##on

20. May – October
2013
• Soon to be launched!
• Awards ceremony at ISWC, Italy, October 2014

21. Learning
Analy#cs
&
Knowledge
Data
&
Challenge
Facilita=ng
Research
on
Learning
Analy=cs
and
EDM
26 March 2014
hVp://lak.linkededuca=on.org/
LAK
Dataset
(450
publica#ons
in
RDF/R)
§ ACM
Interna=onal
Conference
on
Learning
Analy=cs
and
Knowledge
(LAK)
(2011-­‐13)
§ Interna=onal
Conference
on
Educa=onal
Data
Mining
(2008-­‐13)
§ Journal
of
Educa=onal
Data
Mining
(2008-­‐12)
LAK
Data
Challenge
§ Analyse,
explore
correlate
the
LAK
Dataset
§ At
ACM
LAK
2014
(April
2014,
Indianapolis)

22. Learning
Analy#cs
&
Knowledge
(LAK)
Dataset
§ A
corpus
of
metadata
and
full-­‐text
of
all
learning
analy=cs
&
educa=onal
data
mining
publica=ons
§ Freely,
openly
available
in
variety
of
structured
formats
§ Open
access
as
well
as
previously
non-­‐public
resources
Publica#on
#
of
papers
Proceedings
of
the
ACM
Interna#onal
Conference
on
Learning
Analy#cs
and
Knowledge
(LAK)
(2011-­‐12)
66
The
open
access
journal
Educa#onal
Technology
&
Society
special
issue
on
“Learning
and
Knowledge
Analy#cs”:
Educa=onal
Technology
&
Society
(Special
Issue
on
Learning
&
Knowledge
Analy=cs,
edited
by
George
Siemens
&
Dragan
Gašević),
2012,
15,
(3),
pp.
1-­‐163.
10
Proceedings
of
the
Interna#onal
Conference
on
Educa#onal
Data
Mining
(2008-­‐12)
239
Journal
of
Educa#onal
Data
Mining
(2008-­‐12)
16
Special
permission
from
ACM
26 March 2014 22Hendrik Drachsler

23. Learning
Analy#cs
&
Knowledge
(LAK)
Dataset
Extrac=on
process
26 March 2014
Further reading:
Taibi, D., Dietze, S., Fostering Analytics on Learning
Analytics Research: the LAK Dataset, in: CEUR WS
Proceedings Vol. 974, Proceedings of the LAK Data
Challenge, held at LAK2013 – The Third Conference on
Learning Analytics and Knowledge, April 2013., URL:
http://ceur-ws.org/Vol-974/lakdatachallenge2013_preface.pdfHendrik Drachsler

24. LAK
Challenge
Submissions
(accepted)in
a
nutshell
4%
7%
4%
17%
3%
3%
21%
17%
14%
10%
authors
Brazil
Canada
France
Germany
Italy
Netherlands
Serbia
Spain
United
Kingdom
26 March 2014 24Hendrik Drachsler

25. LAK
Challenge
Proceedings,
CEUR
Vol-­‐974
a
nutshell
http://ceur-ws.org/Vol-974

26. #LAKdata13–
the
many
faces
of
a
small
dataset
Analysis Exploration & Visualisation
Search & Recommendation Correlation & Enrichment

27. #LAKdata13
–
Most
used
Technologies
2013
1.
2.
3.
4.
5.
6.
7.
8.
9.
Cr
26 March 2014LinkedUp – Dr. Hendrik Drachsler 27

28. #LAKdata13
–
Authors
(mostly
EDM)
26 March 2014 28
Hendrik Drachsler

29. #LAKdata13
–
Authors
(purely
LAK)
26 March 2014 29
Hendrik Drachsler

30. #LAKdata13
–
Central
countries
•
•
26 March 2014 30
Hendrik Drachsler

31. #LAKdata13
–
Central
topics
• Learners-­‐model-­‐data
Student-­‐model-­‐parameter-­‐skill
• Model-­‐data-­‐features-­‐predic=on
• network-­‐community-­‐discussion-­‐analysis
(2011
)
26 March 2014 31
Hendrik Drachsler
EDM LAK
• Intelligent
tutoring
systems
• Accuracy
of
different
types
of
predic=ve
models
• Revealing
unexpected
paVerns
• Feature
extrac=on
• Types
of
parameter
• automa=c
support
for
edu.
Processes
• Adapta=on
and
personaliza=on
of
learning
• predic=on,
accuracy
and
precision
• More
focused
on
Teacher
Support
with
LA
to
support
students
• Promo=ng
reflec=on
for
students
and
instructors
• Informal
learning
• Leverage
human
judgment
on
informing
and
empowering
instructors
• Empowering
learners
to
reflect
over
learning
processes
• Network-­‐community-­‐social-­‐users
Shared topics

32. #LAKdata13
–
EDM
vs.
LAK
26 March 2014 32
Hendrik Drachsler

33. #LAKdata13
–
EDM
&
LAK
26 March 2014 33
Hendrik Drachsler
| 2011 – 1st LAK

34. 26 March 2014 34
#LAKdata14
–
LAK
Data
Challenge
2014
Hendrik Drachsler

35. #LAKdata14
–
Agenda
26 March 2014LinkedUp – Dr. Hendrik Drachsler 35
Chance for some awesome gadgets:

36. Mo#va#on
Data
on
the
Web
Some
eyecatching
opener
illustra#ng
growth
and
or
diversity
of
web
data
LAK
–
Data
Challenge
2015
#LAKdata15
-­‐=
FOCUS
TASKS
=-­‐
Stefan
Dietze
,
Eelco
Herder
(L3S
Research
Center,
DE)
Mathieu
d’Aquin
(The
Open
University,
UK)
Davide
Taibi
(Ins=tute
for
Educa=onal
Technologies
CNR,
IT)
Hendrik
Drachsler
(Welten
Ins=tute,
Open
Universiteit
Nederland,
NL)
09/04/13Hendrik Drachsler

37. LAK
Challenge
–
and
the
winners
are...
09/04/13

38. LAK
Challenge
–
and
the
winners
are...
09/04/13

39. LAK
Challenge
–
and
the
winners
are...
09/04/13

40. LAK
Challenge
–
and
the
winners
are...
09/04/13

41. 41
This silde is available at:
http://www.slideshare.com/Drachsler
Email: hendrik.drachsler@ou.nl
Skype: celstec-hendrik.drachsler
Blogging at: http://www.drachsler.de
Twittering at: http://twitter.com/HDrachsler
Many thanks for your attention!
26 March 2014LinkedUp – Dr. Hendrik Drachsler 41