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X5gon

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

Field
European
Date
01/09/2017 - 31/12/2020
Industry
  • Educación, tecnologías educativas, industria audiovisual.
  • Otros
Budget
3120957,5
Funded by

European Commission H2020

PROJECT INFORMATION

DESCRIPTION

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.

Impact

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.

Success stories

Commercial use of the MLLP Transcription and Translation Platform by the participating company Posta Slovenija (Slovenia), by third party companies such as the Hasso Plattner Institut (Germany), and by international organizations such as the European Organization for Nuclear Research (CERN): https://ttp.mllp.upv.es.

Entities

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.

Contact information

Alfons Juan Ciscar
University Professor (Universitat Politècnica de València)Deputy Director of VRAIN Institut Valencià d'Investigació en Intel-ligència Artificial (UPV)Director of Machine Learning and Language Processing research group (VRAIN, UPV)

VRAIN

Technological capabilities

IA
Natural language processing and text mining