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AFEL - Analytics For Everyday Learning

Objective

The goal of AFEL (Analytics for Everyday Learning) is to develop, pilot and evaluate methods and applications, which advance informal/collective learning as it surfaces implicitly in online social environments. The project is following a multi-disciplinary, industry-driven approach to the analysis and understanding of learner data in order to personalize, accelerate and improve informal learning processes. Learning Analytics and Educational Data Mining traditionally relate to the analysis and exploration of data coming from learning environments, especially to understand learners' behaviours. However, studies have for a long time demonstrated that learning activities happen outside of formal educational platforms, also. This includes informal and collective learning usually associated, as a side effect, with other (social) environments and activities. Relying on real data from a commercially available platform, the aim of AFEL is to provide and validate the technological grounding and tools for exploiting learning analytics on such learning activities. This will be achieve in relation to cognitive models of learning and collaboration, which are necessary to the understanding of loosely defined learning processes in online social environments. Applying the skills available in the consortium to a concrete set of live, industrial online social environments, AFEL will tackle the main challenges of informal learning analytics through 1) developing the tools and techniques necessary to capture information about learning activities from (not necessarily educational) online social environments; 2) creating methods for the analysis of such informal learning data, based on combining visual analytics with cognitive models of learning and collaboration; and 3) demonstrating the potential of the approach in improving the understanding of informal learning, and the way it is better supported; 4) evaluate all the former items in real world large scale applications and platforms.

Coordinator

NATIONAL UNIVERSITY OF IRELAND GALWAY

Address

University Road
H91 Galway

Ireland

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 212 310

Participants (5)

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RIAM INTELEARNING LAB SL

Spain

EU Contribution

€ 411 500

GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER

Germany

EU Contribution

€ 494 000

MEDIEN IN DER BILDUNG STIFTUNG

Germany

EU Contribution

€ 493 250

KNOW-CENTER GMBH RESEARCH CENTER FOR DATA-DRIVEN BUSINESS & BIG DATA ANALYTICS

Austria

EU Contribution

€ 609 125

THE OPEN UNIVERSITY

United Kingdom

EU Contribution

€ 361 755

Project information

Grant agreement ID: 687916

  • Start date

    1 December 2015

  • End date

    30 November 2018

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 2 581 940

  • EU contribution

    € 2 581 940

Coordinated by:

NATIONAL UNIVERSITY OF IRELAND GALWAY

Ireland