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Infrastructure and integrated tools for personalized learning of reading skill

Infrastructure and integrated tools for personalized learning of reading skill

Objective

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.

Coordinator

UNIVERSITY COLLEGE LONDON

Address

Gower Street
Wc1e 6bt London

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 392 520,59

Participants (16)

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NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA

Greece

EU Contribution

€ 543 875

DOLPHIN COMPUTER ACCESS LTD

United Kingdom

EU Contribution

€ 192 718,75

FISH IN A BOTTLE LIMITED

United Kingdom

EU Contribution

€ 447 921,25

KNOWBLE BV

Netherlands

EU Contribution

€ 121 406,25

GOETEBORGS UNIVERSITET

Sweden

EU Contribution

€ 452 600

PANEPISTIMIO IOANNINON

Greece

EU Contribution

€ 385 937,50

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Germany

EU Contribution

€ 364 375

UNIVERSITATEA LUCIAN BLAGA DIN SIBIU

Romania

EU Contribution

€ 309 687,50

S PATAKIS ANONIMI EKDOTIKI EMPORIKIKAI DIANEMITIKI ETAIRIA

Greece

EU Contribution

€ 72 253,13

DYSLEXIA INSTITUTE LBG

United Kingdom

EU Contribution

€ 14 888,16

UNIVERSITAT DE BARCELONA

Spain

EU Contribution

€ 192 725

DUALE HOCHSCHULE BADEN-WURTTEMBERG

Germany

EU Contribution

€ 222 015

DOUKA EKPAIDEFTIRIA AE - PALLADION LYKEION EKFPAIDEUTHRIA DOUKA

Greece

EU Contribution

€ 119 218,75

THE BRITISH COUNCIL

United Kingdom

EU Contribution

€ 227 187,50

WISDOM EDITION AS

Norway

EU Contribution

€ 3 937,50

DRUSTVO ZA INFORMATICKA DEJNOST PICKATALE DOOEL TETOVO

North Macedonia

EU Contribution

€ 51 406,25

Project information

Grant agreement ID: 731724

Status

Ongoing project

  • Start date

    1 January 2017

  • End date

    31 December 2020

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 5 547 042,50

  • EU contribution

    € 5 114 673,13

Coordinated by:

UNIVERSITY COLLEGE LONDON

United Kingdom