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Selver 
So(ic, 
Behnam 
Taraghi, 
Mar4n 
Ebner 
Social 
Learning 
Group, 
Graz 
University 
of 
Technology, 
Austria 
Laur...
Agenda 
• Mo4va4on, 
Challenges 
• Methodology 
applied 
on 
case 
study 
PLE 
• Minining 
and 
Visualising 
Usage 
of 
PL...
Mo4va4on 
• Modern 
learning 
environments 
aim 
at 
integra4on 
of 
popular 
internet 
services 
• Learners 
are 
expec4n...
Challenges 
• How 
can 
we: 
– reflect 
– predict 
– reveal 
hidden 
informa4on 
– improve 
our 
systems 
• design 
and 
m...
Tackling 
the 
challenge… 
• In 
order 
to 
achieve 
insight 
we 
have 
to: 
– understand 
the 
context 
where 
the 
infor...
Web 
based 
PLE 
@ 
TU 
Graz 
• Unsupervised 
Autonomous 
Learning 
Enviroment 
• > 
4000 
users 
• Working 
spaces 
• Wid...
Dataset 
• data 
from 
4000 
users 
over 
two 
years 
… 
• json 
logs 
• Infoma4on 
about 
: 
– persons 
– 4me 
– widget
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 
...
Method
Modelling 
• IntelLEO 
EU 
Project 
• Ac4vi4es 
Ontology 
• Model 
of 
Usage 
Logs 
http://www.intelleo.eu/ontologies/acti...
Querying
Visualiza4on 
– 
Usage 
Intensivity
Visualiza4on 
-­‐ 
Comparision
Conclusions 
and 
Future 
work 
• Usefull 
method 
to 
improve 
the 
usabilty 
and 
design 
of 
PLE 
• Exposing 
the 
data...
Contact: 
no 
maXer 
machine 
or 
human 
foaf:Person 
foaf:homepage 
foaf:Group 
selver.softic@tugraz.at 
http://about.me/...
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATA
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MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATA

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Veröffentlicht am

4TH EUROPEAN IMMERSIVE EDUCATION SUMMIT, Vienna 2014

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MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATA

  1. 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. 2. Agenda • Mo4va4on, Challenges • Methodology applied on case study PLE • Minining and Visualising Usage of PLE • Conclusion and future work
  3. 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. 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. 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. 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. 7. Dataset • data from 4000 users over two years … • json logs • Infoma4on about : – persons – 4me – widget
  8. 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. 9. Method
  10. 10. Modelling • IntelLEO EU Project • Ac4vi4es Ontology • Model of Usage Logs http://www.intelleo.eu/ontologies/activities/spec/
  11. 11. Querying
  12. 12. Visualiza4on – Usage Intensivity
  13. 13. Visualiza4on -­‐ Comparision
  14. 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
  15. 15. 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

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