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ICON PITCH: iMinds 16/12/2010 iRead+ -  an intelligent e-reader application Itec – KULeuven Campus Kortrijk
Who are we? Itec – KULeuven Campus Kortrijk MMLab – Ugent SMIT – VUB CUO – KULeuven BLCC Televic Education DHE Media Mediargus Roularta Agfa VRT
Context and Need The open web contains a huge amount of possibly useful, up to date and relevant data for learning and information retrieval in general. Initial and actual data provided by publisher/ language institute/ user Classification of data and user Data enrichment to facilitate reading  Harvesting similar and interesting data from open, trusted or closed corpora … in a learning context Provide learning support Automatically generate questions Virtual tutor
Research Goals Data collection Harvesting relevant or similar data in closed and open corpora Multimodal Information Retrieval Data classification Readability, Difficulty level, Domain Topic  Data enrichment Using Learner’s profile Social tagging, glosses, hyperlinks, multimedia annotations, dictionary, captions, subtitles, … Effectivity studies E-Reader vs Tablet, adaptive vs non-adaptive, support vs… Adaptive learning support Exercise generator, virtual tutor, pedagogic agents
Looking for… Extra data providers : publishers, … Software developers for tablet pc applications

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Intelligent e-Reader Pitch for iMinds Meeting

  • 1. ICON PITCH: iMinds 16/12/2010 iRead+ - an intelligent e-reader application Itec – KULeuven Campus Kortrijk
  • 2. Who are we? Itec – KULeuven Campus Kortrijk MMLab – Ugent SMIT – VUB CUO – KULeuven BLCC Televic Education DHE Media Mediargus Roularta Agfa VRT
  • 3. Context and Need The open web contains a huge amount of possibly useful, up to date and relevant data for learning and information retrieval in general. Initial and actual data provided by publisher/ language institute/ user Classification of data and user Data enrichment to facilitate reading Harvesting similar and interesting data from open, trusted or closed corpora … in a learning context Provide learning support Automatically generate questions Virtual tutor
  • 4. Research Goals Data collection Harvesting relevant or similar data in closed and open corpora Multimodal Information Retrieval Data classification Readability, Difficulty level, Domain Topic Data enrichment Using Learner’s profile Social tagging, glosses, hyperlinks, multimedia annotations, dictionary, captions, subtitles, … Effectivity studies E-Reader vs Tablet, adaptive vs non-adaptive, support vs… Adaptive learning support Exercise generator, virtual tutor, pedagogic agents
  • 5. Looking for… Extra data providers : publishers, … Software developers for tablet pc applications