WP1: Learning rich content representations: to automatically learn representations of OERs so that they can later be used by the recommendation engine

D1.1 Quality assurance models (M12)

D1.2 Report on selected and evaluated quality assurance models (M12)

D1.3 Initial content representation models (M24)

D1.4 Advanced Content Representations (M36)

D1.5 Evaluation methodologies for content representation models and release of datasets for measuring quality of OERs (M36)

D1.6 Report on selected models and content representation models (M36)


WP2: Analytics Infrastructure, Services and API: will create (1) the software platform which will be the main link connecting the different components of the system, (2) services and products and (3) respective APIs to connect

D2.1 Requirements & Architecture Report (M6)

D2.2 Final Server Side Platform (M24)

D2.3 Visual Interface (M24)

D2.4 Final Evaluation Report (M36)

D2.5 Final set of X5gon products and services


WP3: Learning Analytics Engine: construction of the analytics engine that provides the relevant knowledge required to drive the operation of the OER and social network

D3.1 Learning Analytic Engine 1.0 (M12)

D3.2 Learning Analytics Engine 2.0 (M24)

D3.3 Learning Analytics Engine 3.0 (M30)

D3.4 Early support for Cross-lingual OER (M18)

D3.5 Final support for Cross-lingual OER (M30)

D3.6 Privacy and user oriented guidelines (M18)


WP4: Recommendation Engine: to design rich models of users on learning sites, and use these models for recommendation and personalization of learning material

D4.1 Initial prototype of user modelling architecture (M6)

D4.2 Final prototype of user modelling architecture (M18)

D4.3 Early prototype of recommendation engine (M12)

D4.4 Final prototype of recommendation engine (M24)

D4.5 Prototype of cross-site recommendation engine (M18)

D4.6 Prototype of cross-language recommendation engine (M30)


WP5: Piloting: A series of piloting studies will be carried out in order to link the automatic analysis undertaken on the data with the experiences of groups of learners revealing the factors that hold user engagement, make learning enjoyable and rewarding, and help develop a rounded understanding of different disciplines.

D5.1 First report on piloting (M12)

D5.2 Second report on piloting (M24)

D5.3 Final report on piloting (M36)


WP6: Studies in the wild: concerned with designing and conducting in-the-wild studies evaluating the use of the platform in practice

D6.1 Report of the OER network model and interface design evaluation (M12)

D6.2 Report of in-the-wild studies investigating performance and usability of the initial services for virtual and real-world adaptive learning (M24)

D6.3 Report of in-the-wild study of OER user Experience, Engagement and Enjoyment (M36)


WP7: Dissemination: to disseminate project outputs and coordinate a network of European Open Educational Resources repositories and align them into one dissemination flow

D7.1 Website (M1)

D7.2 First real-world and online learning community engagement plan (M12)

D7.3 Interim real-world and online learning community and analytics report (24)

D7.4 Final real-world and online impaired, business and policy makers community, analytics, and networking report (M36)


WP8: Exploitation: to effectively exploit the two scenarios defined in the proposal 1) free open source for convergence of OER for all players in Europe and 2) business creation for the backhand ground-breaking technologies developed within the project.

D8.1 Detailed market analysis (M12)

D8.2 Impact assessment report (M36)

D8.3 Business plan draft (M24)

D8.4 Final business plan (M36)


WP9: Management: to ensure the smooth management of the project, by making sure that the structures and processes defined in contractual agreements are followed.

D9.2 Project Handbook (M3)

D9.1 Ethical Data Management and Data Management Plan: year 1 (M12)

D9.2 Ethical Data Management and Data Management Plan: year 2 (M24)

D9.3 Ethical Data Management and Data Management Plan: year 3 (M36)