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X5gon: Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site Global OER Network

X5gon: Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site Global OER Network

Objective

The proposal X5gon stands for easily implemented freely available 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 homogenous 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 works across various OER sites, independent of languages, modalities, scientific domains, and socio-cultural contexts. It develops services OER media convergence including full courses, course materials, modules, textbooks, videos, tests, software, related events, tools, materials, techniques used to support access to knowledge. Fivefold solutions are offered to OER sites:
• Cross-modal: technologies for multimodal content understanding;
• Cross-site: technologies to transparently accompany and analyse users across sites;
• Cross-domain: technologies for cross domain content analytics;
• Cross-language: technologies for cross lingual content recommendation;
• Cross-cultural: technologies for cross cultural learning personalisation.
X5gon collects and index OER resources, track data of users progress and feed an analytics engine driven by state-of-the-art machine learning, improve recommendations via user understanding and match with knowledge resources of all types.
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.

Coordinator

UNIVERSITY COLLEGE LONDON

Address

Gower Street
Wc1e 6bt London

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 762 207,50

Participants (7)

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INSTITUT JOZEF STEFAN

Slovenia

EU Contribution

€ 500 093,75

KNOWLEDGE 4 ALL FOUNDATION LBG

United Kingdom

EU Contribution

€ 284 625

UNIVERSITAT POLITECNICA DE VALENCIA

Spain

EU Contribution

€ 414 500

UNIVERSITE DE NANTES

France

EU Contribution

€ 404 331,25

UNIVERSITAET OSNABRUECK

Germany

EU Contribution

€ 126 825

POSTA SLOVENIJE DOO

Slovenia

EU Contribution

€ 293 562,50

Ministrstvo za izobrazevanje, znanost in sport

Slovenia

EU Contribution

€ 209 000

Project information

Grant agreement ID: 761758

Status

Ongoing project

  • Start date

    1 September 2017

  • End date

    31 August 2020

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 3 120 957,50

  • EU contribution

    € 2 995 145

Coordinated by:

UNIVERSITY COLLEGE LONDON

United Kingdom