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iRead

Financiado

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 o... ver más

30/06/2021

UNIVERSITY COLLEGE...

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

UNIVERSITY COLLEGE LONDON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 18 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-06-30

ICT-22-2016: Technologies for Learning and Skill...

I+D

Cerrada hace 8 años

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18 Participantes

UNIVERSITY COLLEGE LONDON

1.39M€ | Lider

CALES DE LLIERCA

248.02K€ | Participante

UGOT - GOETEBORGS UNIVERSITE...

452.60K€ | Participante

KNOW

121.41K€ | Participante

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Duración del proyecto: 56 meses Fecha Inicio: 2016-10-25
Fecha Fin: 2021-06-30

Líder del proyecto

UNIVERSITY COLLEGE LONDON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 6M€

Descripción del proyecto 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.

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