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X5gon

Cross Modal, Cross Cultural, Cross Lingual, Cross Domain and Cross Site Global OER Network

Ámbito
Europeo
Fecha
01/09/2017 - 31/12/2020
Sector
  • Educación, tecnologías educativas, industria audiovisual.
  • Otros
Presupesto
3120957,5
Finanaciador

Comisión Europea H2020

INFORMACIÓN DEL PROYECTO

DESCRIPCIÓN

The X5gon proposal stands for innovative technology elements converging currently scattered Open Educational Resources (OER) available in various modalities across Europe and the globe. X5gon combines content understanding, user modelling quality assurance methods and tools to boost a homogeneous network of (OER) sites and provides users (teachers, learners) with a common learning experience. X5gon deploys open technologies for recommendation, learning analytics and learning personalisation services that work across various OER sites, independent of languages, modalities, scientific domains, and socio-cultural contexts.

The X5gon proposal stands for innovative technology elements converging currently scattered Open Educational Resources (OER) available in various modalities across Europe and the globe. X5gon combines content understanding, user modelling quality assurance methods and tools to boost a homogeneous network of (OER) sites and provides users (teachers, learners) with a common learning experience. X5gon deploys open technologies for recommendation, learning analytics and learning personalisation services that work across various OER sites, independent of languages, modalities, scientific domains, and socio-cultural contexts.

Impacto

The project will create three services X5oerfeed, X5analytics and X5recommend and run a series of pilot case studies that enable the measurement of the broader goals of delivering a useful and enjoyable educational experience to learners in different domains, at different levels and from different cultures. Two exploitation scenarios are planned: (i) free use of services for OER, (ii) commercial exploitation of the multimodal, big data, real-time analytics pipeline.

Casos de Éxito

Uso comercial de la Plataforma MLLP de Transcripción y Traducción por parte de la empresa participante Posta Slovenija (Eslovenia), por parte de terceras empresas como el Hasso Plattner Institut (Alemania), y por parte de organismos internacionales como la Organización Europea para la Investigación Nuclear (CERN): https://ttp.mllp.upv.es

Entidades

University College London (Reino Unido), Institut Jozef Stefan (Eslovenia), Knowledge 4 All Foundation (Reino Unido), Université de Nantes (Francia), Posta Slovenije (Eslovenia), Universitat Politècnica de València (España), Universitaet Osnabrueck (Alemania), Ministerio de Educación de Eslovenia.

DATOS DE CONTACTO

Alfons Juan Ciscar
Catedrático de Universidad (Universitat Politècnica de València)Subdirector de VRAIN Institut Valencià d’Investigació en Intel·ligència Artificial (UPV)Director del grupo de investigación Machine Learning and Language Processing (VRAIN, UPV)

VRAIN

CAPACIDADES TECNOLÓGICAS

IA
Natural language processing and text mining