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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.

Field of science

  • /social sciences/sociology/governance/public services
  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-ICT-2016-2
See other projects for this call

Funding Scheme

IA - Innovation action
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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)

INSTITUT JOZEF STEFAN
Slovenia
EU contribution
€ 500 093,75
Address
Jamova 39
1000 Ljubljana
Activity type
Research Organisations
KNOWLEDGE 4 ALL FOUNDATION LBG
United Kingdom
EU contribution
€ 284 625
Address
High Street 36 44 Surrey House
RH1 1RH Redhill
Activity type
Other
UNIVERSITAT POLITECNICA DE VALENCIA
Spain
EU contribution
€ 414 500
Address
Camino De Vera Sn Edificio 3A
46022 Valencia
Activity type
Higher or Secondary Education Establishments
UNIVERSITE DE NANTES
France
EU contribution
€ 404 331,25
Address
Quai De Tourville 1
44035 Nantes Cedex 1
Activity type
Higher or Secondary Education Establishments
UNIVERSITAET OSNABRUECK
Germany
EU contribution
€ 126 825
Address
Neuer Graben/schloss 29
49074 Osnabrueck
Activity type
Higher or Secondary Education Establishments
POSTA SLOVENIJE DOO
Slovenia
EU contribution
€ 293 562,50
Address
Slomskov Trg 10
2500 Maribor
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Ministrstvo za izobrazevanje, znanost in sport
Slovenia
EU contribution
€ 209 000
Address
Masarykova 16
1000 Ljubljana
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)