PhD Defense: Navigation Support for Lerners in Informal Learning Networks

Hendrik Drachsler, Open University of the Netherlands PhD Defense, 16 October 2009

Networked Knowledge Society g y

Learning = Knowledge Society Knowledge Society g y

Informal Learning Activities

Learning Networks • explicitly address informal learning • allow learners to publish, share, rate, tag and adjust their own Learning Activities their own Learning Activities in a Learning Network • contain open corpora that emerge from the bottom upwards

Emerging paths g gp Personalized paths th Main Road © peterme.com, flickr 2009

Selection Problem Learners can get overwhelmed by y the amount of information in Learning Networks.

Recommender Systems y People who bought the same product also bought product B or C …

Recommender Systems for y Learning Paths

The PhD Project j Prototype: Practical Recommender System for Learning Networks Study 3: Learning Networks y g Simulation Study 2: Psychology Experiment Study 2: Psychology Experiment Theoretical Study 1: Theoretical Background y g 2006 2007 2008 2009 hendrik.drachsler@ou.nl Recommender Systems 2008, Lausanne Page 10

The PhD Project j Prototype: Practical Recommender System for Learning Networks 2006 Study 3: Learning Networks y g Simulation Study 2: Psychology Experiment Study 2: Psychology Experiment Theoretical Study 1: Theoretical Background y g 2006 2007 2008 2009 hendrik.drachsler@ou.nl Recommender Systems 2008, Lausanne Page 11

The PhD Project j Prototype: Practical Recommender System for Learning Networks 2007 2008 2006 2009 Study 3: Learning Networks y g Simulation Study 2: Psychology Experiment Study 2: Psychology Experiment Theoretical Study 1: Theoretical Background y g 2006 2007 2008 2009 hendrik.drachsler@ou.nl Recommender Systems 2008, Lausanne Page 12

The PhD Project j Prototype: Practical Recommender System for Learning Networks 2008 2006 2009 Study 3: Learning Networks y g Simulation Study 2: Psychology Experiment Study 2: Psychology Experiment Theoretical Study 1: Theoretical Background y g 2006 2007 2008 2009 hendrik.drachsler@ou.nl Recommender Systems 2008, Lausanne Page 13

The PhD Project j Prototype: Practical Recommender System for Learning Networks 2006 2009 Study 3: Learning Networks y g Simulation Study 2: Psychology Experiment Study 2: Psychology Experiment Theoretical Study 1: Theoretical Background y g 2006 2007 2008 2009 hendrik.drachsler@ou.nl Recommender Systems 2008, Lausanne Page 14

Conclusions Recommender Systems for learning have to be designed differently to recommender systems for e- commerce. Recommender Systems can support lifelong learners to follow more personalized learning paths. Further, they positively influence the time they need to reach their learning goals.

Many thanks for your attention! y y Sponsored by

PhD Defense: Navigation Support for Lerners in Informal Learning Networks

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