Infrastructure and integrated tools for personalized learning of reading skill
The overarching aim of the iRead project is to develop a software infrastructure of personalised, adaptive technologies and a diverse set of applications for supporting learning and teaching of reading skills. The specific goals of the project proposed are to:
1.   Develop a scalable, cloud-based software infrastructure of open, interoperable components, including real-time user 
      modelling and domain knowledge components, to support learning of reading skills by children with different abilities and 
      linguistic backgrounds
2.   Develop domain models for English, Greek, German and Spanish learners, and to contextualise those models with 
      respect to skills and difficulties of (i) typically developing readers, (ii) English and Greek readers with dyslexia and (ii) 
      learners of English as a Foreign language.  The domain models will utilise and generalise the domain model 
      implemented in a previous FP7 project – iLearnRW  
3.   Develop applications for supporting learning (literacy games, interactive e-books, Reader app) that utilise the 
      infrastructure to yield different types of personalised learning services and experiences
4.   Develop and evaluate personalised content classification metrics that “enable reading” for use by electronic publishers 
      and libraries
5.   Enable orchestrated use of the learning applications (games, e-books, Reader app) based on learning analytics, and a 
      personalised experience through adaptive support
6.   Implement a number of large-scale evaluation pilots across European countries and providers in order to evaluate the 
      pedagogical effectiveness of the iRead ecosystem.