ReMashed – Recommendation Approaches for Mash-Up Personal Learning Environments in Formal and Informal Learning Settings

1. ReMashed – Recommendation Approaches
for Mash-Up Personal Learning
Environments in Formal and Informal
Learning Settings
Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin Hutten, Peter
van Rosmalen, Hans Hummel & Rob Koper

2. Personal Environments
Nowadays …
More Information
Blog Reader Providers
Social
Bookmarking
Various
Communities
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 2 | September 28, 2009

3. Personal Learning Environments
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 3 | September 28, 2009

4. Related Work
• Pedagogical Scenarios
 Formal Learning (e.g. Hermans & Verjans, 2009)
Informal Learning (e.g. Wild, Kalz & Palmer, 2008)
• Use Case Studies
4 experiments (e.g Van Harmelen, 2008)
• Technology Development
Language design for a PLE
(e.g. Moederitscher, Wild, Sigurdarson, 2008)
Widget Interoperability
(e.g. Sire, Vagner, 2008)
http://mindmeister.com/15237440/r-d-on-mupples
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 4 | September 28, 2009

5. Selection problem because …
…of the amount of
data that is
emerging in
MUPPLEs.
…learners can be
overwhelmed by
the plethora of
information.
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 5 | September 28, 2009

6. Can we create a Recommender System
Today, Recommender Systems
for MUPPLEs? our decisions
supporting
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 6 | September 28, 2009

7. What is ReMashed?
A Mash-up environment that allows you to
personalize emerging information of online
communities with a recommender system.
You tell what kind of Web 2.0 services you
use and then you are able to define which
contributions of other members you like
and do not like.
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 7 | September 28, 2009

8. Goals for ReMashed
1. End-User level
Providing a recommender system for Web 2.0
sources of learners in MUPPLEs.
2. Researcher level
1. Offering researchers a system for the
evaluation of recommendation algorithms for
learners in MUPPLEs.
2. Creating user-generated-content data sets for
recommender systems in MUPPLEs.
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 8 | September 28, 2009

9. The 1st Release
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 9 | September 28, 2009

10. The 2nd Release
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 10 | September 28, 2009

11. The 2nd Release
DUINE Prediction
Engine
Database User Interface
of Items
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 11 | September 28, 2009

12. How does it work?
ReMashed uses collaborative filtering to
generate recommendations.
It works by matching together users with
similar tastes (neighbours) on different
Web 2.0 resources (delicious, Flickr, blog
feeds, Slideshare, Twitter, and YouTube).
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 12 | September 28, 2009

13. How does it work?
Cold-Start = Tag-based recommendation
Collaborative Filtering with ratings
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 13 | September 28, 2009

14. User Profile
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 14 | September 28, 2009

15. Context Variables
Formal Learning (Top-down environments)
 Curriculum (Closed-Corpus)
 Teacher directed
 Predefined learning resources, learning goals
 Maintenance
Informal Learning (Bottom-up environments)
 More self-directed learning goals
 Responsible for own learning pace / path
 Learning resources from different providers (Open-Corpus)
 Lack of maintenance
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 15 | September 28, 2009

16. Recommendation Approaches
Learning settings, environmental conditions
and the task greatly affect the design of
recommender systems in TEL.
systems in TEL.
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 16 | September 28, 2009

17. Formal Recommendation
Approach
Adaptive Learning Goal Layer
Sequencing
(top-down)
Conceptual Layer
Content Layer
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 17 | September 28, 2009

18. Informal Recommendation
Approach
Hierarchical
Clustering Layer n
clustering
(bottom-up)
Clustering Layer 1..n
Content Layer
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 18 | September 28, 2009

19. Conclusions
Fed by bottom-up
approach
Fed by top-down
approach
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 19 | September 28, 2009

20. Future R&D
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 20 | September 28, 2009

21. You can use it as well!
Please sign up at:
Register at ReMashed
remashed.ou.nl. starts mashing.
http://remashed.ou.nl
Enter your favorite Taste your
Web 2.0 potatoes. personal
flavor of
Web 2.0.
Join the
community.
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 21 | September 28, 2009

22. Many thanks for your interest!
This slide is available here:
http://www.slideshare.com/Drachsler
Email: hendrik.drachsler@ou.nl
Skype: celstec-hendrik.drachsler
Blogging at: http://elgg.ou.nl/hdr/weblog
Twittering at: http://twitter.com/HDrachsler
hendrik.drachsler@ou.nl
EC-TEL 2009, 2nd MUPPLE workshop, Nice, FR
Page 22 | September 28, 2009